Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Practical MongoDB Aggregations
  • Table Of Contents Toc
  • Feedback & Rating feedback
Practical MongoDB Aggregations

Practical MongoDB Aggregations

By : Paul Done
5 (17)
close
close
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)
close
close
2
Part 1: Guiding Tips and Principles
7
Part 2: Aggregations by Example
16
Afterword

Strongly typed conversion

It's not uncommon for someone to import data into a MongoDB collection and neglect to apply strong typing for the date, number, and boolean fields and store them as strings. This situation is likely to cause friction for subsequent users of the data. This example will show you how to restore these fields to their proper types.

Scenario

A third party has imported a set of retail orders into a MongoDB collection but with all data typing lost (they have stored all field values as strings). You want to reestablish correct typing for all the documents and copy them into a new cleaned collection. You can incorporate such transformation logic in the aggregation pipeline because you know each field's type in the original record structure.

Note

Unlike most examples in this book, in this example, the aggregation pipeline writes its output to a collection rather than streaming the results back to the calling application.

Populating the sample...

Unlock full access

Continue reading for free

A Packt free trial gives you instant online access to our library of over 7000 practical eBooks and videos, constantly updated with the latest in tech
bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY