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aggregate
aggregate
-
Performs aggregation operation using the aggregation pipeline. The pipeline allows users to process data from a collection or other source with a sequence of stage-based manipulations.
Syntax
The command has following syntax:
Changed in version 3.6.
{
aggregate: "<collection>" || 1,
pipeline: [ <stage>, <...> ],
explain: <boolean>,
allowDiskUse: <boolean>,
cursor: <document>,
maxTimeMS: <int>,
bypassDocumentValidation: <boolean>,
readConcern: <document>,
collation: <document>,
hint: <string or document>,
comment: <string>,
writeConcern: <document>
}
Tip
Rather than run the aggregate
command directly, most users should use the db.collection.aggregate()
helper provided in the mongo
shell or the equivalent helper in their driver. In 2.6 and later, the db.collection.aggregate()
helper always returns a cursor.
Command Fields
The aggregate
command takes the following fields as arguments:
Field | Type | Description |
---|---|---|
aggregate |
string | The name of the collection or view that acts as the input for the aggregation pipeline. Use 1 for collection agnostic commands. |
pipeline |
array | An array of aggregation pipeline stages that process and transform the document stream as part of the aggregation pipeline. |
explain |
boolean | Optional. Specifies to return the information on the processing of the pipeline. |
allowDiskUse | boolean | Optional. Enables writing to temporary files. When set to
|
cursor |
document | Specify a document that contains options that control the creation of the cursor object. Changed in version 3.6: MongoDB 3.6 removes the use of To indicate a cursor with the default batch size, specify To indicate a cursor with a non-default batch size, use |
maxTimeMS |
non-negative integer | Optional. Specifies a time limit in milliseconds for processing operations on a cursor. If you do not specify a value for maxTimeMS, operations will not time out. A value of MongoDB terminates operations that exceed their allotted time limit using the same mechanism as |
bypassDocumentValidation |
boolean | Optional. Available only if you specify the Enables New in version 3.2. |
readConcern |
document | Optional. Specifies the read concern. The readConcern option has the following syntax: Changed in version 3.6.
Possible read concern levels are:
For more formation on the read concern levels, see Read Concern Levels. For |
collation |
document | Optional. Specifies the collation to use for the operation. Collation allows users to specify language-specific rules for string comparison, such as rules for lettercase and accent marks. The collation option has the following syntax:
When specifying collation, the If the collation is unspecified but the collection has a default collation (see If no collation is specified for the collection or for the operations, MongoDB uses the simple binary comparison used in prior versions for string comparisons. You cannot specify multiple collations for an operation. For example, you cannot specify different collations per field, or if performing a find with a sort, you cannot use one collation for the find and another for the sort. New in version 3.4. |
hint |
string or document | Optional. The index to use for the aggregation. The index is on the initial collection/view against which the aggregation is run. Specify the index either by the index name or by the index specification document. Note The New in version 3.6. |
comment |
string | Optional. Users can specify an arbitrary string to help trace the operation through the database profiler, currentOp, and logs. New in version 3.6. |
writeConcern |
document | Optional. A document that expresses the write concern to use with Omit to use the default write concern with the |
For more information about the aggregation pipeline Aggregation Pipeline, Aggregation Reference, and Aggregation Pipeline Limits.
Sessions
Session Idle Timeout
Starting in MongoDB 3.6, MongoDB drivers and the mongo
shell associate all operations with a server session, with the exception of unacknowledged write operations. For operations not explicitly associated with a session (i.e. using Mongo.startSession()
), MongoDB drivers and the mongo
shell creates an implicit session and associates it with the operation.
If a session is idle for longer than 30 minutes, the MongoDB server marks that session as expired and may close it at any time. When the MongoDB server closes the session, it also kills any in-progress operations and open cursors associated with the session. This includes cursors configured with noCursorTimeout
or a maxTimeMS
greater than 30 minutes.
For operations that return a cursor, if the cursor may be idle for longer than 30 minutes, issue the operation within an explicit session using Session.startSession()
and periodically refresh the session using the refreshSessions
command. See Session Idle Timeout
for more information.
Example
Changed in version 3.4: MongoDB 3.6 removes the use of aggregate
command without the cursor
option unless the command includes the explain
option. Unless you include the explain
option, you must specify the cursor option.
To indicate a cursor with the default batch size, specify cursor: {}
.
To indicate a cursor with a non-default batch size, use cursor: { batchSize: <num> }
.
Rather than run the aggregate
command directly, most users should use the db.collection.aggregate()
helper provided in the mongo
shell or the equivalent helper in their driver. In 2.6 and later, the db.collection.aggregate()
helper always returns a cursor.
Except for the first two examples which demonstrate the command syntax, the examples in this page use the db.collection.aggregate()
helper.
Aggregate Data with Multi-Stage Pipeline
A collection articles
contains documents such as the following:
{
_id: ObjectId("52769ea0f3dc6ead47c9a1b2"),
author: "abc123",
title: "zzz",
tags: [ "programming", "database", "mongodb" ]
}
The following example performs an aggregate
operation on the articles
collection to calculate the count of each distinct element in the tags
array that appears in the collection.
db.runCommand( {
aggregate: "articles",
pipeline: [
{ $project: { tags: 1 } },
{ $unwind: "$t