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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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Table of Contents (20) Chapters Close

Preface 1. Chapter 1: MongoDB Aggregations Explained FREE CHAPTER 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

Guidance for optimizing pipeline performance

Similar to any programming language, there is a downside if you prematurely optimize an aggregation pipeline. You risk producing an over-complicated solution that doesn't address the performance challenges that will manifest. As described in the previous section, the tool you should use to identify performance bottlenecks and opportunities for optimization is the explain plan. You will typically use the explain plan during the final stages of your pipeline's development once it is functionally correct.

With all that said, it can still help you to be aware of some guiding principles regarding performance while you are prototyping a pipeline. Critically, such guiding principles will be invaluable to you once the aggregation's explain plan is analyzed and if it shows that the current pipeline is suboptimal.

Be cognizant of streaming vs blocking stages ordering

When executing an aggregation pipeline, the database engine...

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