# $sampleRate (aggregation)¶

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## Definition¶

`$sampleRate`

¶*New in version 4.4.2*.Matches a random selection of input documents. The number of documents selected approximates the sample rate expressed as a percentage of the total number of documents.

The

`$sampleRate`

operator has the following syntax:{ $sampleRate: <non-negative float> }

## Behavior¶

The selection process uses a uniform random distribution. The sample rate is a floating point number between 0 and 1, inclusive, which represents the probability that a given document will be selected as it passes through the pipeline.

For example, a sample rate of `0.33`

selects roughly one document in
three.

This expression:

{ $match: { $sampleRate: 0.33 } }

is equivalent to using the `$rand`

operator as follows:

{ $match: { $expr: { $lt: [ { $rand: {} }, 0.33 ] } } }

Repeated runs on the same data will produce different outcomes since the selection process is non-deterministic. In general, smaller datasets will show more variability in the number of documents selected on each run. As collection size increases, the number of documents chosen will approach the expected value for a uniform random distribution.

If an exact number of documents is required from each run, the
`$sample`

operator should be used instead of `$sampleRate`

.

## Examples¶

This code creates a small collection with 100 documents.

N = 100 bulk = db.collection.initializeUnorderedBulkOp() for ( i = 0; i < N; i++) { bulk.insert( {_id: i, r: 0} ) } bulk.execute()

The `$sampleRate`

operator can be used in a pipeline to select random
documents from the collection. In this example we use `$sampleRate`

to select about one third of the documents.

db.collection.aggregate( [ { $match: { $sampleRate: 0.33 } }, { $count: "numMatches" } ] )

This is the output from 5 runs on the sample collection:

{ "numMatches" : 38 } { "numMatches" : 36 } { "numMatches" : 29 } { "numMatches" : 29 } { "numMatches" : 28 }