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Elasticsearch 5.x Cookbook

You're reading from   Elasticsearch 5.x Cookbook Distributed Search and Analytics

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786465580
Length 696 pages
Edition 3rd Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Table of Contents (25) Chapters Close

Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Getting Started FREE CHAPTER 2. Downloading and Setup 3. Managing Mappings 4. Basic Operations 5. Search 6. Text and Numeric Queries 7. Relationships and Geo Queries 8. Aggregations 9. Scripting 10. Managing Clusters and Nodes 11. Backup and Restore 12. User Interfaces 13. Ingest 14. Java Integration 15. Scala Integration 16. Python Integration 17. Plugin Development 18. Big Data Integration

Shrinking an index


The latest version of Elasticsearch provides a new way to optimize the index, via the shrink API it's possible to reduce the number of shards of an index.

This feature targets several common scenarios:

  • The wrong number of shards during the initial design sizing. Often sizing the shards without knowing the correct data/text distribution tends to oversize the number of shards

  • Reducing the number of shards to reduce memory and resource usage

  • Reducing the number of shards to speed up searching

Getting ready

You need an up-and-running Elasticsearch installation, as used in the Downloading and installing Elasticsearch recipe in Chapter 2, Downloading and Setup.

To execute curl via the command line, you need to install curl for your operative system.

To correctly execute the following commands, use the index created in the Creating an index recipe.

How to do it...

The HTTP method used is POST. The URL format for optimizing one or more indices, is:

http://<server>/<source_index_name...

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