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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

Full-Text Search Examples

Applications often require full-text search capabilities to enable partial and weighted matches over textual content beyond exact field matches. This feature could be necessary for a content management system to search for keywords, an e-commerce platform to search for product descriptions, or a customer support application to scan user feedback. In this chapter, you will explore how to build aggregation pipelines that leverage full-text search capabilities in MongoDB Atlas.

In this chapter, we will cover the following topics:

  • An overview of Atlas Search
  • Performing a text search on mandatory and optional keywords
  • Using text search to generate facets and counts efficiently
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