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

Opening/closing an index


If you want to keep your data but save resources (memory/CPU), a good alternative to deleting an index is to close them.

ElasticSearch allows to open/close an index for putting it in the online/offline mode.

Getting ready

You need a working ElasticSearch cluster and the index created in the Creating an index recipe.

How to do it...

For opening/closing an index, we need to perform the following steps:

  1. From command line, we can execute a POST call to close an index as follows:

    curl -XPOST http://127.0.0.1:9200/myindex/_close
    
  2. If the call is successfully made, the result returned by ElasticSearch should be as follows:

    {"ok":true,"acknowledged":true}
  3. To open an index from command line use the following command:

    curl -XPOST http://127.0.0.1:9200/myindex/_open
    
  4. If the call is successfully made, the result returned by ElasticSearch should be as follows:

    {"ok":true,"acknowledged":true}

How it works...

When an index is closed, there is no overhead on the cluster (except for metadata state...