Getting the Most from Your Aggregations

In the last three topics, we have learned about the structure of aggregation as well as the key stages required to build up complicated queries. We can search large multi-collection datasets with given criteria, manipulate that data to create new insights, and output our results into a new or existing collection.

These fundamentals will allow you to solve most of the problems you will encounter in an aggregation pipeline. However, there are several other stages and patterns for getting the most out of your aggregations. We won't cover them all in this book, but in this topic, we'll discuss a few of the odds and ends that will help you fine-tune your pipelines as well as some other odds and ends that we simply haven't covered so far. We'll be looking at aggregation options using Explain to analyze your aggregation.

Tuning Your Pipelines

In an earlier topic, we timed the execution of our pipeline by outputting the time...