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ElasticSearch Cookbook - Second Edition

You're reading from   ElasticSearch Cookbook - Second Edition Over 130 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with ElasticSearch

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783554836
Length 472 pages
Edition 2nd 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 (14) Chapters Close

Preface 1. Getting Started 2. Downloading and Setting Up FREE CHAPTER 3. Managing Mapping 4. Basic Operations 5. Search, Queries, and Filters 6. Aggregations 7. Scripting 8. Rivers 9. Cluster and Node Monitoring 10. Java Integration 11. Python Integration 12. Plugin Development 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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