Book Image

ElasticSearch Cookbook

By : Alberto Paro
Book Image

ElasticSearch Cookbook

By: Alberto Paro

Overview of this book

Table of Contents (20 chapters)
ElasticSearch Cookbook Second Edition
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Index

Specifying a different analyzer


In the previous recipes, we saw how to map different fields and objects in ElasticSearch and described how easy it is to change the standard analyzer with the analyzer, index_analyzer, and search_analyzer properties.

In this recipe, we will see several analyzers and how to use them in order to improve the quality of indexing and searching.

Getting ready

You need a working ElasticSearch cluster.

How to do it...

Every core type field allows you to specify a custom analyzer for indexing and searching as field parameters.

For example, if you want the name field to use a standard analyzer for indexing and a simple analyzer for searching, the mapping will be as follows:

{
  "name": {
    "type": "string",
    "index": "analyzed",
    "index_analyzer": "standard",
    "search_analyzer": "simple"
  }
}

How it works...

The concept of an analyzer comes from Lucene (the core of ElasticSearch). An analyzer is a Lucene element that is composed of a tokenizer, which splits a text...