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Practical MongoDB Aggregations

Practical MongoDB Aggregations

By : Paul Done
5 (17)
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Practical MongoDB Aggregations

Practical MongoDB Aggregations

5 (17)
By: Paul Done

Overview of this book

Officially endorsed by MongoDB, Inc., Practical MongoDB Aggregations helps you unlock the full potential of the MongoDB aggregation framework, including the latest features of MongoDB 7.0. This book provides practical, easy-to-digest principles and approaches for increasing your effectiveness in developing aggregation pipelines, supported by examples for building pipelines to solve complex data manipulation and analytical tasks. This book is customized for developers, architects, data analysts, data engineers, and data scientists with some familiarity with the aggregation framework. It begins by explaining the framework's architecture and then shows you how to build pipelines optimized for productivity and scale. Given the critical role arrays play in MongoDB's document model, the book delves into best practices for optimally manipulating arrays. The latter part of the book equips you with examples to solve common data processing challenges so you can apply the lessons you've learned to practical situations. By the end of this MongoDB book, you’ll have learned how to utilize the MongoDB aggregation framework to streamline your data analysis and manipulation processes effectively.
Table of Contents (20 chapters)
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2
Part 1: Guiding Tips and Principles
7
Part 2: Aggregations by Example
16
Afterword

Aggregation expressions explained

Aggregation expressions provide syntax and a library of commands to allow you to perform sophisticated data operations within many of the stages you include in your aggregation pipelines. You can use expressions within the pipeline to perform tasks such as the following:

  • Compute values (e.g., calculate the average value of an array of numbers)
  • Convert an input field's value (e.g., a string) into an output field's value (e.g., a date)
  • Extract the specific reoccurring field's value from an array of sub-documents into a new list of values
  • Transform the shape of an input object into an entirely differently structured output object

In many cases, you can nest expressions within other expressions, enabling a high degree of sophistication in your pipelines, albeit sometimes at the cost of making your pipelines appear complex.

You can think of an aggregation expression as being one of three possible types:

    ...

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