6 Building aggregation pipelines

 

This chapter covers

  • Exploring the MongoDB aggregation framework
  • Setting up and using aggregation pipelines
  • Describing aggregation pipeline stages
  • Joining MongoDB collections using $lookup
  • Using the MongoDB Atlas aggregation pipeline builder

The MongoDB aggregation framework is a powerful tool for processing and analyzing data within MongoDB. It allows you to create complex data transformation and aggregation pipelines to perform operations such as filtering, grouping, and transforming data efficiently. This framework is essential for extracting meaningful insights from large data sets, making it a crucial component for developers and data analysts working with MongoDB. Also, the aggregation framework supports full-text search and vector search capabilities in MongoDB Atlas.

6.1 Understanding the aggregation framework

6.1.1 Writing an aggregation pipeline

6.1.2 Viewing the aggregation pipeline stages

6.1.3 Using $set and $unset instead of $project

6.1.4 Scenarios for $set and $unset operators

6.1.5 Scenario for the $project operator

6.1.6 Saving the results of aggregation pipelines

6.2 Joining collections

6.2.1 Creating a MongoDB view using $lookup

6.2.2 Using $lookup with $mergeobjects

6.3 Deconstructing arrays with $unwind

6.4 Working with accumulators

6.5 Using the MongoDB Atlas aggregation pipeline builder

Summary