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ElasticSearch Cookbook

You're reading from  ElasticSearch Cookbook

Product type Book
Published in Dec 2013
Publisher Packt
ISBN-13 9781782166627
Pages 422 pages
Edition 1st Edition
Languages
Author (1):
Alberto Paro Alberto Paro
Profile icon Alberto Paro

Table of Contents (19) Chapters

ElasticSearch Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Getting Started Downloading and Setting Up ElasticSearch Managing Mapping Standard Operations Search, Queries, and Filters Facets Scripting Rivers Cluster and Nodes Monitoring Java Integration Python Integration Plugin Development Index

Optimizing an index


ElasticSearch core is based on Lucene, which stores the data in segments on the disk. During an index life, a lot of segments are created and changed. With the increase of segment number the speed of search decreases due to the time required to read all of them. The optimize operation allows to consolidate the index for faster search performance reducing segments.

Getting ready

You need a working ElasticSearch cluster and 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 as follows:

http://<server>/<index_name(s)>/_optimize

The URL format for optimizing all the indices in a cluster is as follows:

http://<server>/_optimize

For optimizing an index, we need to perform the following steps:

  1. If we consider the index created in the Creating an index recipe, the call will be as follows:

    curl -XPOST 'http://localhost:9200/myindex/_optimize'
    
  2. The result returned by ElasticSearch...

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