MongoDB Aggregation Operators
Aggregation operators can be used to process large amounts of data in order to extract useful information and statistical data, which can be used to generate various types of reports, analyses, and visualizations. Aggregation operators can help you group and aggregate data to better understand your data, discover trends and patterns, and make decisions and plans.
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$avg
The MongoDB$avg
aggregation pipeline operator is used to calculate the average value of a specific field. -
$count
MongoDB$count
operator can be used to calculate the number of documents that meet specific criteria. -
$first
MongoDB$first
operator is used to retrieve the value of a specified field from the first document in a group. -
$last
MongoDB$last
operator retrieves the value of the last element in an array. -
$max
The$max
operator is one of the aggregation pipeline operators in MongoDB that is used to compute the maximum value of a given field. -
$min
The MongoDB$min
operator is used in an aggregation pipeline to find the minimum value of a specified field in a collection and return it. -
$sortByCount
The MongoDB$sortByCount
operator is used to count and sort a field in all documents in a collection. -
$stdDevPop
$stdDevPop
is an operator in the MongoDB aggregation framework used to calculate the population standard deviation of all numerical fields in a collection. -
$stdDevSamp
$stdDevSamp
is an aggregation operator in MongoDB used to calculate the sample standard deviation. -
$sum
The MongoDB$sum
operator is a very useful aggregation operator that can be used to perform sum operations on specified fields.