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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

Putting a mapping in an index


In the previous chapter, we saw how to build a mapping for our data. This recipe shows how to put a type in an index. This kind of operation can be considered as the ElasticSearch version of an SQL create table command.

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 to put a mapping is PUT (POST also works).

The URL format for putting a mapping is as follows:

http://<server>/<index_name>/<type_name>/_mapping

For putting a mapping in an index, we need to perform the following steps:

  1. If we consider the type order of the previous chapter, the call will be as follows:

    curl -XPUT 'http://localhost:9200/myindex/order/_mapping' -d '{
        "order" : {
            "properties" : {
                "id" : {"type" : "string", "store" : "yes" , "index":"not_analyzed"},
                "date" : {"type" : "date", "store" : "no" , "index":"not_analyzed"},
                "customer_id"...
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