Mongodb 3.2 release some details
Recently a new stable release
mongodb released. In this version, a number of innovations were added, such as a new GUI for visual work with mongodb , LEFT JOIN , document validation, etc. we will look at some of these properties with small examples below.- Partial (partial) index
- Validation
- Innovations of the aggregation framework
- New options in import export utilities
- Innovations in CRUD
- WiredTiger and fsyncLock
- New GUI compass
Partial (partial) index
MongoDB 3.2 provides the ability to create indexes only for those collection documents that will match the specified filter. Indexing only parts of the required documents in the collection has a number of advantages, such as lower storage requirements, and lower performance costs, to create and maintain an index. You can specify the partialFilterExpression option for all MongoDB index types .To create a partial index, use the
db.collection.createIndex() method with the new partialFilterExpression option. In the following example, we will create a composite index that will index only those documents that have a rating greater than 5. db.restaurants.createIndex( { cuisine: 1, name: 1 }, { partialFilterExpression: { rating: { $gt: 5 } } } ) Comparison with sparse index.
A partial index provides a larger set of capabilities than a sparse index and is therefore preferable. The partial index offers a more expressive mechanism for specifying which documents are better to index.
Sparse indexes select documents to be indexed solely based on the presence of an indexed field.
An example of a sparse index behavior using a partial index:
db.contacts.createIndex( { name: 1 }, { partialFilterExpression: { name: { $exists: true } } } ) Consider another example with a partial index, here the field by which the
name will be indexed, and the field by which documents will be filtered, another: db.contacts.createIndex( { name: 1 }, { partialFilterExpression: { email: { $exists: true } } } ) The following query can use an index:
db.contacts.find( { name: "xyz", email: { $regex: /\.org$/ } } ) And for this request, the index can not be used:
db.contacts.find( { name: "xyz", email: { $exists: false } } ) Restrictions
In
mongodb you cannot create multiple versions of an index that differ only in parameters. You cannot create many partial indexes that differ only in filter parameters.In earlier versions of
mongodb , partial indexes were not supported. All sharded clusters, replica sets and all nodes should work on mongodb 3.2 ._id index cannot be a partial index.The key of the shard also cannot be a partial index.
')
Consider a collection of
restaurants that contains the following documents and looks like this: { "_id" : ObjectId("5641f6a7522545bc535b5dc9"), "address" : { "building" : "1007", "coord" : [ -73.856077, 40.848447 ], "street" : "Morris Park Ave", "zipcode" : "10462" }, "borough" : "Bronx", "cuisine" : "Bakery", "rating" : { "date" : ISODate("2014-03-03T00:00:00Z"), "grade" : "A", "score" : 2 }, "name" : "Morris Park Bake Shop", "restaurant_id" : "30075445" } We could add an index to the
borough and cuisine fields by filtering only those documents where rating.grade == A db.restaurants.createIndex( { borough: 1, cuisine: 1 }, { partialFilterExpression: { 'rating.grade': { $eq: "A" } } } ) The following query for a collection of
restaurants using a partial index will return all the restaurants in Bronx where rating.grade equivalent to A db.restaurants.find( { borough: "Bronx", 'rating.grade': "A" } ) And this query will not be able to use the index, because there are no fields corresponding to
rating.grade db.restaurants.find( { borough: "Bronx", cuisine: "Bakery" } ) Partial uniqueness index
A partial index can be applied to documents that contain a unique constraint .
For example, take the
users collection containing the following documents: { "_id" : ObjectId("56424f1efa0358a27fa1f99a"), "username" : "david", "age" : 29 } { "_id" : ObjectId("56424f37fa0358a27fa1f99b"), "username" : "amanda", "age" : 35 } { "_id" : ObjectId("56424fe2fa0358a27fa1f99c"), "username" : "rajiv", "age" : 57 } The following operation will create an index that imposes a unique restriction on the
username field and a partial filter for the expression age: { $gte: 21 } db.users.createIndex( { username: 1 }, { unique: true, partialFilterExpression: { age: { $gte: 21 } } } ) The index prevents the insertion of the following documents, because documents with the specified name already exist and the
age field is greater than 21: db.users.insert( { username: "david", age: 27 } ) db.users.insert( { username: "amanda", age: 25 } ) db.users.insert( { username: "rajiv", age: 32 } ) And these documents will be inserted:
db.users.insert( { username: "david", age: 20 } ) db.users.insert( { username: "amanda" } ) db.users.insert( { username: "rajiv", age: null } ) Validation
Starting with version
3.2 , mongodb provides the ability to validate documents during the update and paste process. Validation rules are specified when an explicit collection is created using the validator option, or using the collMod command for an existing collection. The validator option accepts a document that matches certain expressions, with the exception of $geoNear , $near , $nearSphere , $text and $where .Consider the following example of creating a validation when creating a
contacts collection: db.createCollection( "contacts", { validator: { $or: [ { phone: { $type: "string" } }, { email: { $regex: /@mongodb\.com$/ } }, { status: { $in: [ "Unknown", "Incomplete" ] } } ] } } ) MongoDB also provides a validationLevel option that determines how strictly MongoDB applies validation rules for existing documents during their update, and the validationAction option that determines whether mongodb should reject documents that violate validation rules.Behavior
Validation occurs during the update and insertion of documents. When adding validations to a collection, existing documents are not modified.
Existing documents
You can control how
mongodb processes existing documents using the validationLevel option.By default,
validationLevel is strict , and mongodb applies validation rules for all inserts and updates. If validationLevel set to moderate , then validation rules for inserting and updating documents apply only to documents that fully meet the validation criteria.Consider the following documents in the
contacts collection: { "_id": "125876" "name": "Anne", "phone": "+1 555 123 456", "city": "London", "status": "Complete" }, { "_id": "860000", "name": "Ivan", "city": "Vancouver" } Run the command to add validation to the
contacts collection: db.runCommand( { collMod: "contacts", validator: { $or: [ { phone: { $exists: true } }, { email: { $exists: true } } ] }, validationLevel: "moderate" } ) Now the
contacts collection has a validator. And now if we update the document with {_id: 125876} , mongodb will apply the validation rules, since the existing document meets the criteria. And for the document { _id:860000 } , mongodb will not apply validation rules for updates, since the document does not match the validation rule.If we need to disable validation, we can set the
validationLevel option to off .Accept or reject defective documents
In the validationAction option, it is defined how to deal with documents that violated the validation rules.
By default, validationAction is set to error and MongoDB rejects any insertions and updates of documents, if there is a violation of the validation rule. When validationAction set to warn , MongoDB logs documents, but allows inserts and updates.
The following example creates a contacts collection with a validator indicating that inserted or updated documents must meet at least one of the following three conditions:
- the
phone field must be a string - The
email field must be checked by regular expressions for consistency. - The
status field must be either Unknown or Incomplete.
db.createCollection( "contacts", { validator: { $or: [ { phone: { $type: "string" } }, { email: { $regex: /@mongodb\.com$/ } }, { status: { $in: [ "Unknown", "Incomplete" ] } } ], validationAction: "warn" } } )
The next insert should fail, but since the validation rule validationAction warn , .
2015-10-15T11:20:44.260-0400 W STORAGE [conn3] Document would fail validation collection: example.contacts doc: { _id: ObjectId('561fc44c067a5d85b96274e4'), name: "Amanda", status: "Updated" }
validationAction warn , .
2015-10-15T11:20:44.260-0400 W STORAGE [conn3] Document would fail validation collection: example.contacts doc: { _id: ObjectId('561fc44c067a5d85b96274e4'), name: "Amanda", status: "Updated" }
validationAction warn , .
2015-10-15T11:20:44.260-0400 W STORAGE [conn3] Document would fail validation collection: example.contacts doc: { _id: ObjectId('561fc44c067a5d85b96274e4'), name: "Amanda", status: "Updated" }
validationAction warn , .
2015-10-15T11:20:44.260-0400 W STORAGE [conn3] Document would fail validation collection: example.contacts doc: { _id: ObjectId('561fc44c067a5d85b96274e4'), name: "Amanda", status: "Updated" }
phone field must be a stringemail field must be checked by regular expressions for consistency.status field must be either Unknown or Incomplete.db.createCollection( "contacts", { validator: { $or: [ { phone: { $type: "string" } }, { email: { $regex: /@mongodb\.com$/ } }, { status: { $in: [ "Unknown", "Incomplete" ] } } ], validationAction: "warn" } } ) validationAction warn , .
2015-10-15T11:20:44.260-0400 W STORAGE [conn3] Document would fail validation collection: example.contacts doc: { _id: ObjectId('561fc44c067a5d85b96274e4'), name: "Amanda", status: "Updated" }
validationAction warn , .
2015-10-15T11:20:44.260-0400 W STORAGE [conn3] Document would fail validation collection: example.contacts doc: { _id: ObjectId('561fc44c067a5d85b96274e4'), name: "Amanda", status: "Updated" }
validationAction warn , .
2015-10-15T11:20:44.260-0400 W STORAGE [conn3] Document would fail validation collection: example.contacts doc: { _id: ObjectId('561fc44c067a5d85b96274e4'), name: "Amanda", status: "Updated" }
validationAction warn , .
2015-10-15T11:20:44.260-0400 W STORAGE [conn3] Document would fail validation collection: example.contacts doc: { _id: ObjectId('561fc44c067a5d85b96274e4'), name: "Amanda", status: "Updated" }
Restrictions
You cannot assign validation to
admin , local .And you cannot specify a validator for
system.* CollectionsInnovations of the aggregation framework and LEFT JOIN
$lookup - linking multiple collections.Although this operator called their
left join for mongodb it still seems to me that this question is a bit wider, and it should be considered in the context of linking different types of documents, not collections. I described this question in some detail here .$lookup has the following syntax: { $lookup: { from: < >, localField: < >, foreignField: < >, as: < > } } In the example we have two collections:
The
orders collection contains the following documents: { "_id" : 1, "item" : "abc", "price" : 12, "quantity" : 2 } { "_id" : 2, "item" : "jkl", "price" : 20, "quantity" : 1 } { "_id" : 3 } And the
inventory collection containing documents: { "_id" : 1, "sku" : "abc", description: "product 1", "instock" : 120 } { "_id" : 2, "sku" : "def", description: "product 2", "instock" : 80 } { "_id" : 3, "sku" : "ijk", description: "product 3", "instock" : 60 } { "_id" : 4, "sku" : "jkl", description: "product 4", "instock" : 70 } { "_id" : 5, "sku": null, description: "Incomplete" } { "_id" : 6 } The following aggregation operation, for the
orders collection, links documents from orders to documents from the inventory collection, using the item field from orders and the sku field from inventory : db.orders.aggregate([ { $lookup: { from: "inventory", localField: "item", foreignField: "sku", as: "inventory_docs" } } ]) At the exit, this operation will return the following documents:
{ "_id" : 1, "item" : "abc", "price" : 12, "quantity" : 2, "inventory_docs" : [ { "_id" : 1, "sku" : "abc", description: "product 1", "instock" : 120 } ] } { "_id" : 2, "item" : "jkl", "price" : 20, "quantity" : 1, "inventory_docs" : [ { "_id" : 4, "sku" : "jkl", "description" : "product 4", "instock" : 70 } ] } { "_id" : 3, "inventory_docs" : [ { "_id" : 5, "sku" : null, "description" : "Incomplete" }, { "_id" : 6 } ] } $sample - randomly selects a specified number of documents from the input stream.Syntax:
{ $sample: { size: <positive integer> } } In the example we have a collection of
users consisting of the following documents: { "_id" : 1, "name" : "dave123", "q1" : true, "q2" : true } { "_id" : 2, "name" : "dave2", "q1" : false, "q2" : false } { "_id" : 3, "name" : "ahn", "q1" : true, "q2" : true } { "_id" : 4, "name" : "li", "q1" : true, "q2" : false } { "_id" : 5, "name" : "annT", "q1" : false, "q2" : true } { "_id" : 6, "name" : "li", "q1" : true, "q2" : true } { "_id" : 7, "name" : "ty", "q1" : false, "q2" : true } The aggregation operation will randomly select three documents from the collection:
db.users.aggregate( [ { $sample: { size: 3 } } ] ) PostgreSQL 9.5 , which is about to be released, also has a similar feature.$indexStats - returns usage statistics for each index.Returns usage statistics for each index in the collection. If running with access control, the user must have privileges that include
indexStats .Syntax:
{ $indexStats: { } } For example, take the
orders collection containing the following documents: { "_id" : 1, "item" : "abc", "price" : 12, "quantity" : 2, "type": "apparel" } { "_id" : 2, "item" : "jkl", "price" : 20, "quantity" : 1, "type": "electronics" } { "_id" : 3, "item" : "abc", "price" : 10, "quantity" : 5, "type": "apparel" } Create the following two indices on the collection:
db.orders.createIndex( { item: 1, quantity: 1 } ) db.orders.createIndex( { type: 1, item: 1 } ) Perform some queries:
db.orders.find( { type: "apparel"} ) db.orders.find( { item: "abc" } ).sort( { quantity: 1 } ) To view statistics on the use of the index for the
orders collection, perform the following operation: db.orders.aggregate( [ { $indexStats: { } } ] ) The operation will return documents containing the use of statistics for each index:
{ "name" : "item_1_quantity_1", "key" : { "item" : 1, "quantity" : 1 }, "host" : "examplehost.local:27017", "accesses" : { "ops" : NumberLong(1), "since" : ISODate("2015-10-02T14:31:53.685Z") } } { "name" : "_id_", "key" : { "_id" : 1 }, "host" : "examplehost.local:27017", "accesses" : { "ops" : NumberLong(0), "since" : ISODate("2015-10-02T14:31:32.479Z") } } { "name" : "type_1_item_1", "key" : { "type" : 1, "item" : 1 }, "host" : "examplehost.local:27017", "accesses" : { "ops" : NumberLong(1), "since" : ISODate("2015-10-02T14:31:58.321Z") } } $stdDevSamp — $stdDevSamp standard deviation of a sample of input values.It is accessible from
$group and $project , ignores non-numeric values and, if such is provided, returns null .For example, take the
users collection: {_id: 0, username: "user0", age: 20} {_id: 1, username: "user1", age: 42} {_id: 2, username: "user2", age: 28} To calculate the standard deviation of a random sample of users, first use the
$sample operator to sample 100 users, and then use $stdDevSamp for costing. db.users.aggregate( [ { $sample: { size: 100 } }, { $group: { _id: null, ageStdDev: { $stdDevSamp: "$age" } } } ] ) Result:
{ "_id" : null, "ageStdDev" : 7.811258386185771 } New aggregation arithmetic operators
$sqrt - calculates the square root.Syntax
{ $sqrt: <number> } Simple examples:
{ $sqrt: 25 } 5 { $sqrt: 30 } 5.477225575051661 { $sqrt: null } null There is a collection of
points with documents: { _id: 1, p1: { x: 5, y: 8 }, p2: { x: 0, y: 5} } { _id: 2, p1: { x: -2, y: 1 }, p2: { x: 1, y: 5} } { _id: 3, p1: { x: 4, y: 4 }, p2: { x: 4, y: 0} } The following example uses
$sqrt to calculate the distance between p1 and p2 : db.points.aggregate([ { $project: { distance: { $sqrt: { $add: [ { $pow: [ { $subtract: [ "$p2.y", "$p1.y" ] }, 2 ] }, { $pow: [ { $subtract: [ "$p2.x", "$p1.x" ] }, 2 ] } ] } } } } ]) The output is the following result:
{ "_id" : 1, "distance" : 5.830951894845301 } { "_id" : 2, "distance" : 5 } { "_id" : 3, "distance" : 4 } $abs - returns the absolute value of a number.Syntax
{ $abs: <number> } A simple example:
{ $abs: -1 } 1 { $abs: 1 } 1 { $abs: null } null The
ratings collection has documents: { _id: 1, start: 5, end: 8 } { _id: 2, start: 4, end: 4 } { _id: 3, start: 9, end: 7 } { _id: 4, start: 6, end: 7 } The following example calculates the difference between the initial and final ratings:
db.ratings.aggregate([ { $project: { delta: { $abs: { $subtract: [ "$start", "$end" ] } } } } ]) At the exit:
{ "_id" : 1, "delta" : 3 } { "_id" : 2, "delta" : 0 } { "_id" : 3, "delta" : 2 } { "_id" : 4, "delta" : 1 } $log - calculates the logarithm.Syntax
{ $log: [ <number>, <base> ] } Calculates the logarithm of a number, and returns the result as a fraction.
There is a collection of
examples : { _id: 1, positiveInt: 5 } { _id: 2, positiveInt: 2 } { _id: 3, positiveInt: 23 } { _id: 4, positiveInt: 10 } The following example uses
log2 to determine the number of bits required to represent a positiveInt value. .
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }$ln - .{ $ln: <number> }{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ):
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }$pow - ( ).:
{ $pow: [ <number>, <exponent> ] } :{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]):
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }$exp - .{ exp: <number> }:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127$trunc - .:
{ $trunc: <number> }{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2$ceil - , .:
{ $ceil: <number> }{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2$floor - , .:
{ floor: <number> }:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }$slice - .:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
,
favorites :db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }$arrayElemAt - .:
{ $arrayElemAt: [ <array>, <idx> ] }:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }$concatArrays - .:
{ $concatArrays: [ <array1>, <array2>, ... ] }:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]$isArray - , .{ $isArray: [ ] }
warehouses :{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] },
instock , ordered , , , , :db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }$filter - .{ $filter: { input: <array>, as: <string>, cond: <expression> } }:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]$project
mongodb 3.2 , $project , [] , .:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }$project x y myArray :db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ):
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] },
mongorestore mongodump , , , .
test.20150715.archive test . .mongorestore --archive=test.20150715.archive --db test,
mongorestore archive . :mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .db.collection.bulkWrite() - , .,
bulkWrite() , :db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .db.collection.deleteMany() - db.collection.remove() .db.collection.deleteOne() - db.collection.remove() justOne true-
db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }$ln - .{ $ln: <number> }{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ):
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }$pow - ( ).:
{ $pow: [ <number>, <exponent> ] } :{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]):
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }$exp - .{ exp: <number> }:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127$trunc - .:
{ $trunc: <number> }{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2$ceil - , .:
{ $ceil: <number> }{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2$floor - , .:
{ floor: <number> }:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }$slice - .:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
,
favorites :db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }$arrayElemAt - .:
{ $arrayElemAt: [ <array>, <idx> ] }:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }$concatArrays - .:
{ $concatArrays: [ <array1>, <array2>, ... ] }:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]$isArray - , .{ $isArray: [ ] }
warehouses :{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] },
instock , ordered , , , , :db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }$filter - .{ $filter: { input: <array>, as: <string>, cond: <expression> } }:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]$project
mongodb 3.2 , $project , [] , .:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }$project x y myArray :db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ):
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] },
mongorestore mongodump , , , .
test.20150715.archive test . .mongorestore --archive=test.20150715.archive --db test,
mongorestore archive . :mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .db.collection.bulkWrite() - , .,
bulkWrite() , :db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .db.collection.deleteMany() - db.collection.remove() .db.collection.deleteOne() - db.collection.remove() justOne true-
db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }$ln - .{ $ln: <number> }{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ):
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }$pow - ( ).:
{ $pow: [ <number>, <exponent> ] } :{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]):
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }$exp - .{ exp: <number> }:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127$trunc - .:
{ $trunc: <number> }{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2$ceil - , .:
{ $ceil: <number> }{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2$floor - , .:
{ floor: <number> }:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }$slice - .:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
,
favorites :db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }$arrayElemAt - .:
{ $arrayElemAt: [ <array>, <idx> ] }:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }$concatArrays - .:
{ $concatArrays: [ <array1>, <array2>, ... ] }:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]$isArray - , .{ $isArray: [ ] }
warehouses :{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] },
instock , ordered , , , , :db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }$filter - .{ $filter: { input: <array>, as: <string>, cond: <expression> } }:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]$project
mongodb 3.2 , $project , [] , .:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }$project x y myArray :db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ):
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] },
mongorestore mongodump , , , .
test.20150715.archive test . .mongorestore --archive=test.20150715.archive --db test,
mongorestore archive . :mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .db.collection.bulkWrite() - , .,
bulkWrite() , :db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .db.collection.deleteMany() - db.collection.remove() .db.collection.deleteOne() - db.collection.remove() justOne true-
db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }$ln - .{ $ln: <number> }{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] ):
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }$pow - ( ).:
{ $pow: [ <number>, <exponent> ] } :{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ]):
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }$exp - .{ exp: <number> }:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127$trunc - .:
{ $trunc: <number> }{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2$ceil - , .:
{ $ceil: <number> }{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2$floor - , .:
{ floor: <number> }:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }$slice - .:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
,
favorites :db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }$arrayElemAt - .:
{ $arrayElemAt: [ <array>, <idx> ] }:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }$concatArrays - .:
{ $concatArrays: [ <array1>, <array2>, ... ] }:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]$isArray - , .{ $isArray: [ ] }
warehouses :{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] },
instock , ordered , , , , :db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }$filter - .{ $filter: { input: <array>, as: <string>, cond: <expression> } }:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]$project
mongodb 3.2 , $project , [] , .:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }$project x y myArray :db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] ):
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] },
mongorestore mongodump , , , .
test.20150715.archive test . .mongorestore --archive=test.20150715.archive --db test,
mongorestore archive . :mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .db.collection.bulkWrite() - , .,
bulkWrite() , :db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .db.collection.deleteMany() - db.collection.remove() .db.collection.deleteOne() - db.collection.remove() justOne true-
db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
.
:
{ "_id" : 1, "bitsNeeded" : 3 } { "_id" : 2, "bitsNeeded" : 2 } { "_id" : 3, "bitsNeeded" : 5 } { "_id" : 4, "bitsNeeded" : 4 }
$ln - .
{ $ln: <number> }
{ _id: 1, year: "2000", sales: 8700000 } { _id: 2, year: "2005", sales: 5000000 } { _id: 3, year: "2010", sales: 6250000 }
, :
db.sales.aggregate( [ { $project: { x: "$year", y: { $ln: "$sales" } } } ] )
:
{ "_id" : 1, "x" : "2000", "y" : 15.978833583624812 } { "_id" : 2, "x" : "2005", "y" : 15.424948470398375 } { "_id" : 3, "x" : "2010", "y" : 15.648092021712584 }
$pow - ( ).
:
{ $pow: [ <number>, <exponent> ] } :
{ $pow: [ 5, 0 ] } 1 { $pow: [ 5, 2 ] } 25 { $pow: [ 5, -2 ] } 0.04
{ "_id" : 1, "scores" : [ { "name" : "dave123", "score" : 85 }, { "name" : "dave2", "score" : 90 }, { "name" : "ahn", "score" : 71 } ] } { "_id" : 2, "scores" : [ { "name" : "li", "quiz" : 2, "score" : 96 }, { "name" : "annT", "score" : 77 }, { "name" : "ty", "score" : 82 } ] }
, :
db.quizzes.aggregate([ { $project: { variance: { $pow: [ { $stdDevPop: "$scores.score" }, 2 ] } } } ])
:
{ "_id" : 1, "variance" : 64.66666666666667 } { "_id" : 2, "variance" : 64.66666666666667 }
$exp - .
{ exp: <number> }
:
{ $exp: 0 } 1 { $exp: 2 } 7.38905609893065 { $exp: -2 } 0.1353352832366127
$trunc - .
:
{ $trunc: <number> }
{ $trunc: 0 } 0 { $trunc: 7.80 } 7 { $trunc: -2.3 } -2
$ceil - , .
:
{ $ceil: <number> }
{ $ceil: 1 } 1 { $ceil: 7.80 } 8 { $ceil: -2.8 } -2
$floor - , .
:
{ floor: <number> }
:
{ $floor: 1 } 1 { $floor: 7.80 } 7 { $floor: -2.8 } -3
{ _id: 1, value: 9.25 } { _id: 2, value: 8.73 } { _id: 3, value: 4.32 } { _id: 4, value: -5.34 } db.samples.aggregate([ { $project: { value: 1, floorValue: { $floor: "$value" } } } ]) { "_id" : 1, "value" : 9.25, "floorValue" : 9 } { "_id" : 2, "value" : 8.73, "floorValue" : 8 } { "_id" : 3, "value" : 4.32, "floorValue" : 4 } { "_id" : 4, "value" : -5.34, "floorValue" : -6 }
$slice - .
:
{ $slice: [ <array>, <n> ] } { $slice: [ <array>, <position>, <n> ] }
{ "_id" : 1, "name" : "dave123", favorites: [ "chocolate", "cake", "butter", "apples" ] }
{ "_id" : 2, "name" : "li", favorites: [ "apples", "pudding", "pie" ] }
{ "_id" : 3, "name" : "ahn", favorites: [ "pears", "pecans", "chocolate", "cherries" ] }
{ "_id" : 4, "name" : "ty", favorites: [ "ice cream" ] }
, favorites :
db.users.aggregate([ { $project: { name: 1, threeFavorites: { $slice: [ "$favorites", 3 ] } } } ]) { "_id" : 1, "name" : "dave123", "threeFavorites" : [ "chocolate", "cake", "butter" ] } { "_id" : 2, "name" : "li", "threeFavorites" : [ "apples", "pudding", "pie" ] } { "_id" : 3, "name" : "ahn", "threeFavorites" : [ "pears", "pecans", "chocolate" ] } { "_id" : 4, "name" : "ty", "threeFavorites" : [ "ice cream" ] }
$arrayElemAt - .
:
{ $arrayElemAt: [ <array>, <idx> ] }
:
{ $arrayElemAt: [ [ 1, 2, 3 ], 0 ] } 1 { $arrayElemAt: [ [ 1, 2, 3 ], -2 ] } 2 { $arrayElemAt: [ [ 1, 2, 3 ], 15 ] }
$concatArrays - .
:
{ $concatArrays: [ <array1>, <array2>, ... ] }
:
{ $concatArrays: [ [ "hello", " "], [ "world" ] ] } [ "hello", " ", "world" ] { $concatArrays: [ [ "hello", " "], [ [ "world" ], "again"] ] } [ "hello", " ", [ "world" ], "again" ]
$isArray - , .
{ $isArray: [ ] }
warehouses :
{ "_id" : 1, instock: [ "chocolate" ], ordered: [ "butter", "apples" ] } { "_id" : 2, instock: [ "apples", "pudding", "pie" ] } { "_id" : 3, instock: [ "pears", "pecans"], ordered: [ "cherries" ] } { "_id" : 4, instock: [ "ice cream" ], ordered: [ ] }
, instock , ordered , , , , :
db.warehouses.aggregate([ { $project: { items: { $cond: { if: { $and: [ { $isArray: "$instock" }, { $isArray: "$ordered" } ] }, then: { $concatArrays: [ "$instock", "$ordered" ] }, else: "One or more fields is not an array." } } } } ]) { "_id" : 1, "items" : [ "chocolate", "butter", "apples" ] } { "_id" : 2, "items" : "One or more fields is not an array." } { "_id" : 3, "items" : [ "pears", "pecans", "cherries" ] } { "_id" : 4, "items" : [ "ice cream" ] }
$filter - .
{ $filter: { input: <array>, as: <string>, cond: <expression> } }
:
{ $filter: { input: [ 1, "a", 2, null, 3.1, NumberLong(4), "5" ], as: "num", cond: { $and: [ { $gte: [ "$$num", NumberLong("-9223372036854775807") ] }, { $lte: [ "$$num", NumberLong("9223372036854775807") ] } ] } } } [ 1, 2, 3.1, NumberLong(4) ]
$project
mongodb 3.2 , $project , [] , .
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "x" : 1, "y" : 1 }
$project x y myArray :
db.collection.aggregate( [ { $project: { myArray: [ "$x", "$y" ] } } ] )
:
{ "_id" : ObjectId("55ad167f320c6be244eb3b95"), "myArray" : [ 1, 1 ] }
,
mongorestore mongodump , , , .
test.20150715.archive test . .
mongorestore --archive=test.20150715.archive --db test
, mongorestore archive . :
mongodump --archive --db test --port 27017 | mongorestore --archive --port 27018
CRUD
CRUD (Create/Read/Update/Delete) API , mongo shell .
db.collection.bulkWrite() - , .
, bulkWrite() , :
db.collection.bulkWrite( [ { insertOne : <document> }, { updateOne : <document> }, { updateMany : <document> }, { replaceOne : <document> }, { deleteOne : <document> }, { deleteMany : <document> } ], { ordered : false } )
ordered : false , . , deleteOne deleteMany insertOne , updateOne , updateMany replaceOne .
db.collection.deleteMany() - db.collection.remove() .
db.collection.deleteOne() - db.collection.remove() justOne true
- db.collection.remove( , true ) db.collection.remove( , { justOne: true } ).
db.collection.findOneAndDelete() - db.collection.findAndModify() remove true.
db.collection.findOneAndReplace() - db.collection.findAndModify() .
db.collection.findOneAndUpdate() - db.collection.findAndModify() update .
db.collection.insertMany() - db.collection.insert() .
db.collection.insertOne() - db.collection.insert() .
db.collection.replaceOne() - db.collection.update( , ) .
db.collection.updateMany() - db.collection.update( , , { multi: true, ... }) multi true .
db.collection.updateOne() - db.collection.update( , )
WiredTiger fsyncLock
MongoDB 3.2 , WiredTiger fsync lock mongo shell db.fsyncLock(). , WiredTiger , , , .
WiredTiger .
GUI compass
Mongodb , , GUI . MongoDB Compass . compass c web . nosql couchdb futon .
compass, , Mac OS Windows. , , .
, GUI Windows mongoDB , :
, “” C:\mongodb .
:
mkdir c:\data\db mkdir c:\data\log
C:\mongodb\mongod.cfg :
systemLog: destination: file path: c:\data\log\mongod.log storage: dbPath: c:\data\db
mongodb :
"C:\mongodb\bin\mongod.exe" --config "C:\mongodb\mongod.cfg" --install
:
net start MongoDB
, . , c:\mongodb\mongo.exe
compass, . :
, , . , .
, , (, ) json.
, , GUI , - .
PS .
mongodb windows
compass
mongodb compass
Source: https://habr.com/ru/post/192870/
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