chapter six

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 MongoDB Atlas aggregations pipelines builder
  • Best practices for optimizing aggregation pipelines

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

6.1 Understanding the Aggregation Framework

6.1.1 Writing an Aggregation pipeline

6.1.2 Aggregation pipeline stages

6.1.3 Using $set and $unset instead of $project

6.1.4 Saving results of Aggregation pipelines

6.2 Joining collections

6.3 Deconstructing arrays with $unwind

6.4 Working with accumulators

6.5 Using MongoDB Atlas aggregation pipeline builder

6.6 Summary