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Practical MongoDB Aggregations

You're reading from   Practical MongoDB Aggregations The official guide to developing optimal aggregation pipelines with MongoDB 7.0

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781835080641
Length 312 pages
Edition 1st Edition
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Author (1):
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Paul Done Paul Done
Author Profile Icon Paul Done
Paul Done
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Toc

Table of Contents (20) Chapters Close

Preface 1. Chapter 1: MongoDB Aggregations Explained 2. Part 1: Guiding Tips and Principles FREE CHAPTER
3. Chapter 2: Optimizing Pipelines for Productivity 4. Chapter 3: Optimizing Pipelines for Performance 5. Chapter 4: Harnessing the Power of Expressions 6. Chapter 5: Optimizing Pipelines for Sharded Clusters 7. Part 2: Aggregations by Example
8. Chapter 6: Foundational Examples: Filtering, Grouping, and Unwinding 9. Chapter 7: Joining Data Examples 10. Chapter 8: Fixing and Generating Data Examples 11. Chapter 9: Trend Analysis Examples 12. Chapter 10: Securing Data Examples 13. Chapter 11: Time-Series Examples 14. Chapter 12: Array Manipulation Examples 15. Chapter 13: Full-Text Search Examples 16. Afterword
17. Index 18. Other books you may enjoy Appendix

Pivoting array items by a key

In some scenarios, an array field within documents contains a sequence of elements where some of the array's elements logically relate to each other. In this example, you will explore how to construct a pipeline that restructures arrays to represent these inherent groupings.

Scenario

You have a set of geographically dispersed weather station zones where each zone has multiple sensor devices collecting readings such as temperature, humidity, and pressure. Each weather station assembles readings from its devices and once per hour transmits this set of measurements to a central database to store. The set of persisted readings is randomly ordered measurements for different devices in the zone. You need to take the mix of readings and group them by device, so the weather data is easier to consume by downstream dashboards and applications.

Note

This example's pipeline relies on some of the more difficult-to-understand array operator expressions...

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