Book Image

ElasticSearch Cookbook

By : Alberto Paro
Book Image

ElasticSearch Cookbook

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 (19 chapters)
ElasticSearch Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Managing indices


In the previous recipe we saw how to initialize a client to send calls to an ElasticSearch cluster. In this recipe, we will see how to manage indices via client calls.

Getting ready

You need a working ElasticSearch cluster and required packages of the Creating a client recipe of this chapter.

The full code of this recipe is in the chapter_11/indices_management.py file.

How to do it...

In Python, managing the lifecycle of your indices is very easy, we need to perform the following steps:

  1. We initialize a client as follows:

    import elasticsearch
    es = elasticsearch.Elasticsearch()
    index_name = "my_index"
  2. All the indices methods are available in the client.indices namespace. We can create and wait for the creation of an index as follows:

    es.indices.create(index_name)
    es.cluster.health(wait_for_status="yellow")
  3. We can close/open an index as follows:

    es.indices.close(index_name)
    
    es.indices.open(index_name)
    es.cluster.health(wait_for_status="yellow")
  4. We can optimize an index as follows:

    es.indices...