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ElasticSearch Cookbook

ElasticSearch Cookbook - Second Edition

By : Alberto Paro
4.1 (7)
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ElasticSearch Cookbook

ElasticSearch Cookbook

4.1 (7)
By: Alberto Paro

Overview of this book

If you are a developer who implements ElasticSearch in your web applications and want to sharpen your understanding of the core elements and applications, this is the book for you. It is assumed that you’ve got working knowledge of JSON and, if you want to extend ElasticSearch, of Java and related technologies.
Table of Contents (14 chapters)
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13
Index

Optimizing an index


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

Getting ready

You will need a working ElasticSearch cluster and the index created in the Creating an index recipe in this chapter.

How to do it...

The URL format to optimize one or more indices is:

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

The URL format to optimize all the indices in a cluster is:

http://<server>/_optimize

The HTTP method used is POST.

To optimize an index, we will perform the following steps:

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

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

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Tech Concepts
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ElasticSearch Cookbook
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