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Practical MongoDB Aggregations

You're reading from  Practical MongoDB Aggregations

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781835884362
Pages 278 pages
Edition 1st Edition
Languages
Author (1):
Paul Done Paul Done
Profile icon Paul Done

Table of Contents (20) Chapters

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

IoT power consumption

In industrial IT, organizations must accurately compute the power consumption of devices to optimize energy use, reduce costs, and ensure sustainable operations. They need specialized database features to manage the vast and dynamic data generated by these devices and then offer real-time analytics for predictive modeling to maintain efficient energy management and operational continuity. In this example, you will explore how to build an aggregation pipeline to calculate the power consumption of devices.

Note

For this example, you require MongoDB version 5.0 or above. This is because you'll be using time-series collections, the $setWindowFields stage, and the $integral operator introduced in version 5.0.

Scenario

You are monitoring various air-conditioning units running in two buildings on an industrial campus. Every 30 minutes, a device in each unit sends the unit's current power consumption reading back to base, which is persisted in a...

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