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Practical MongoDB Aggregations

You're reading from  Practical MongoDB Aggregations

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781835080641
Pages 312 pages
Edition 1st Edition
Languages
Author (1):
Paul Done Paul Done
Profile icon Paul Done

Table of Contents (20) Chapters

Preface 1. Chapter 1: MongoDB Aggregations Explained 2. Part 1: Guiding Tips and Principles
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

Comparison of two arrays

Frequently, when analyzing data and computing summary values for different time periods, you also want to compare what has changed in the data between those periods. Such last-mile comparisons can be left to the client application to perform using the programming language available there. However, as you will discover in this example, an aggregation can invariably perform this action for you.

Note

For this example, you require MongoDB version 4.4 or above. This is because you'll be using the $first array operator introduced in MongoDB version 4.4.

Scenario

You are an IT administrator managing virtual machine deployments in a data center to host a critical business application in a few environments (e.g., production and QA). A database collection captured the configuration state of each virtual machine across two days. You want to generate a report showing what configuration changes people made to the virtual machines (if any) between these...

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