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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

Advanced use of expressions for array processing

One of the most compelling aspects of MongoDB is the ability to embed arrays within documents. Unlike relational databases, this characteristic allows each entity's entire data structure to exist in one place as a document.

The aggregation framework provides a rich set of aggregation operator expressions for analyzing and manipulating arrays. When optimizing for performance, array expressions are critical because they prevent the unwinding and regrouping of documents when you only need to process each document's array in isolation. For most situations when you need to manipulate an array, there is usually a single array operator expression that you can utilize for your requirements.

Occasionally, you won't be able to use a single out-of-the-box array operator expression to solve an array processing challenge. Consequently, you must assemble a composite of nested lower-level expressions to handle the challenging array...

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