What is Mongo aggregation?

What is Mongo aggregation?

In MongoDB, aggregation operations process the data records/documents and return computed results. It collects values from various documents and groups them together and then performs different types of operations on that grouped data like sum, average, minimum, maximum, etc to return a computed result.

What is aggregation in MongoDB example?

An aggregation pipeline consists of one or more stages that process documents: Each stage performs an operation on the input documents. For example, a stage can filter documents, group documents, and calculate values. The documents that are output from a stage are passed to the next stage.

How does MongoDB improve aggregation performance?

To improve the efficiency of query execution, the order of aggregation stages matters a lot.

  1. $match stage: The matching stage is used to select the required documents only.
  2. $sort stage: $sort is used to sort the documents in ascending or descending order of value.
  3. $limit stage:
  4. $skip stage:
  5. $project stage:

What is aggregation in computer science?

In programming, aggregation is a type of object composition where not all the containing objects should be destroyed when the owning object is destroyed.

What is difference between find and aggregate in MongoDB?

With aggregate + $match, you get a big monolithic BSON containing all matching documents. With find, you get a cursor to all matching documents. Then you can get each document one by one.

What is aggregation in data mining?

Aggregation in data mining is the process of finding, collecting, and presenting the data in a summarized format to perform statistical analysis of business schemes or analysis of human patterns. Data aggregation can help in taking prudent decisions in marketing, finance, pricing the product, etc.

What is aggregate fact table?

Aggregate fact tables are special fact tables in a data warehouse that contain new metrics derived from one or more aggregate functions (AVERAGE, COUNT, MIN, MAX, etc..) or from other specialized functions that output totals derived from a grouping of the base data.

How can convert string to date with Mongo aggregation?


  • “2018-03-03T12:00:00Z”
  • “2018-03-03T12:00:00+0500”
  • How to connect springboot to MongoDB aggregation?

    spring-boot-starter-test: Includes testing libraries like JUnit, Mockito, Hamcrest and Spring Test. spring-boot-starter-data-mongodb: This dependency includes the MongoDB Java driver, and the Spring Data Mongo libraries. 4 Application setup. Thanks to Spring Boot, the application setup is as simple as the dependencies setup:

    How to use aggregations in MongoDB?

    $match () stage – filters those documents we need to work with,those that fit our needs

  • $group () stage – does the aggregation job
  • $sort () stage – sorts the resulting documents the way we require (ascending or descending)
  • How can I use MongoDB aggregation in this example?


  • Regarding aggregation stage limits. Up to 100 MB of RAM can be used per aggregation stage.
  • Our collections. I will be showing examples of how to use of the more important stages.
  • Aggregation stages.
  • Checking our aggregation query.
  • Performance.
  • Conclusion.