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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 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

Array Manipulation Examples

Storing and processing documents with fields that contain arrays of sub-documents is an essential aspect of MongoDB. The aggregation framework offers rich operators to process array contents, which is important to avoid performance penalties from needlessly unwinding and regrouping arrays. The aggregation pipeline's ability to handle nested operations makes even the most challenging array manipulation tasks feasible. However, these solutions can sometimes appear complicated. In this chapter, you will learn how to break down array manipulation problems into manageable pieces, streamlining your assembly of solutions.

This chapter will cover the following topics:

  • Generating summaries of array contents, such as highs and lows
  • Sorting and changing the orientation of the contents of arrays
  • Calculating averages and percentiles for arrays
  • Grouping elements of arrays by common keys
  • Joining elements from different array fields together...
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