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Mongodb compass aggregation examples9/8/2023 ![]() Now, let us see how the aggregate() method works: Implementation of aggregate() MethodĬonsider a collection named programmers, which has the following data. Syntax: db.collection_name.aggregate(aggregate_operation) The syntax of this method looks something like this: from the aggregated group of data extracted.įor performing such an aggregate function, the aggregate() method is used. MongoDB's aggregate function will cluster out the records in the form of a collection which can be then employed for providing operations like total number(sum), mean, minimum and maximum, etc. ![]() MongoDB offers three different ways of performing aggregation: You can relate aggregation to that of the count(*) along with the ' group by' used in SQL since both are equivalent in terms of the working. The concept of aggregation mainly clusters out your data from multiple different documents which are then used and operates in lots of ways (on these clustered data) to return a combined result which can bring new information to the existing database. In MongoDB, aggregation can be defined as the operation that is used for processing various types of data in the collection, which returns a calculated result. In this chapter, you will learn about the concept of aggregation that s supported by MongoDB. Bundling the data from numerous record sources which are then operated in various ways on a pool of data for returning a combined result is what MongoDB allows its users. When MongoDB users want to gather metrics from a MongoDB database, aggregation of MongoDB is the best tool for this. ![]() MongoDB - Overview MongoDB - Introduction to NoSQL MongoDB - Benefits of Using NoSQL MongoDB - History MongoDB - Environment Setup MongoDB - Database Create and Drop MongoDB - Data Types MongoDB - Create Collection MongoDB - Drop Collection MongoDB - Insert Documents MongoDB - Query Operations MongoDB - Projection Queries MongoDB - Limiting Query Result MongoDB - Update Documents MongoDB - Delete Documents MongoDB - Concept of Aggregation MongoDB - Sorting MongoDB - Indexing MongoDB - Advanced Indexing MongoDB - Concept of Replication MongoDB - Concept of Sharding MongoDB - Export MongoDB - Data Backup and Restore MongoDB - Regular Expression ![]()
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