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ElasticSearch Cookbook

ElasticSearch Cookbook

By : Alberto Paro
4.1 (7)
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ElasticSearch Cookbook

ElasticSearch Cookbook

4.1 (7)
By: Alberto Paro

Overview of this book

ElasticSearch is one of the most promising NoSQL technologies available and is built to provide a scalable search solution with built-in support for near real-time search and multi-tenancy. This practical guide is a complete reference for using ElasticSearch and covers 360 degrees of the ElasticSearch ecosystem. We will get started by showing you how to choose the correct transport layer, communicate with the server, and create custom internal actions for boosting tailored needs. Starting with the basics of the ElasticSearch architecture and how to efficiently index, search, and execute analytics on it, you will learn how to extend ElasticSearch by scripting and monitoring its behaviour. Step-by-step, this book will help you to improve your ability to manage data in indexing with more tailored mappings, along with searching and executing analytics with facets. The topics explored in the book also cover how to integrate ElasticSearch with Python and Java applications. This comprehensive guide will allow you to master storing, searching, and analyzing data with ElasticSearch.
Table of Contents (14 chapters)
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13
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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