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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

What is Atlas Search?

Atlas Search makes adding fast relevance-based full-text search to your applications easy. Atlas Search deploys an Apache Lucene index alongside your database, automatically handling data and schema synchronization between the source collection and this new search index. Atlas Search provides the following features, all backed by support for multiple language analyzers:

  • Fuzzy matching
  • Autocomplete
  • Fast facets and counts
  • Highlighting
  • Relevance scoring
  • Geospatial queries
  • Synonyms

You reduce your cognitive load by invoking searches via the regular MongoDB drivers and aggregations API rather than a third-party Lucene API.

With the Atlas platform's integration of a database, search engine, and synchronization pipeline into a single, unified, and fully managed service, you can quickly build search features into your applications. Consequently these ease of use and functionality advantages mean you should use Atlas Search...

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