The aggregation pipeline builder provides the ability to create aggregations in a simple and real-time manner. The key is to make it table-like to perform aggregation. MongoDB Compass is the GUI tool for MongoDB to visualize and query data, and they added a MongoDB aggregation pipeline builder to it in 2018. The example document from is as follows: īecause we didn't tell Mongo to omit '_id' field, so it's auto-added. Compass displays a blank aggregation pipeline. To build an aggregation pipeline, choose a collection and click the Aggregations tab. The aggregation framework is a set of analytics tools within MongoDB that allows us to run various types of reports or analysis on documents in one or more collections. Perform operations on the grouped data to return a single result. Aggregation operators can be strung together to. The documents that are output from a stage are passed to the next stage.

For example, a stage can filter documents, group documents, and calculate values.

Building MongoDB aggregations has never been so easy. The aggregation framework enables users to obtain the kind of results for which the SQL GROUP BY clause is used. An aggregation pipeline consists of one or more stages that process documents: Each stage performs an operation on the input documents. That being said, in order to understand the concept behind the $unwind parameter, you first must understand what the use case that you are trying to quote is saying. For example, you can use aggregation pipelines to: Group values from multiple documents together. Introducing the Aggregation Pipeline Builder in MongoDB Compass. The way that it stores your data is in the form of documents and collections, which allows for a dynamic means of adding and obtaining the data from your storage locations.

The thing to remember is that MongoDB employs an 'NoSQL' approach to data storage, so perish the thoughts of selects, joins, etc.

Mongodb compass aggregation examples