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Practical MongoDB Aggregations

You're reading from  Practical MongoDB Aggregations

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781835884362
Pages 278 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

Create an Atlas Search index

To complete the examples in Chapter 13, Full-Text Search Examples, you need to use a MongoDB Atlas cluster rather than a self-managed MongoDB deployment. The simplest way to provision an Atlas cluster is to create a free-tier cluster (see https://www.mongodb.com/cloud/atlas). Once created, you can use the following steps to create a search index:

  1. First, in the Atlas (see https://cloud.mongodb.com/) console, for your database cluster, click the Search tab and then click Create Search Index:
  1. Select JSON Editor and then click Next:
  1. Leave Index Name as default, select the Database and Collection you require, paste in your JSON index definition, and then click Next:
  1. On the review screen, click Create Search Index to finish:
  1. It may take a few minutes for the system to generate the text search index.

Note...

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