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

Chapter 4. Standard Operations

In this chapter, we will cover the following topics:

  • Creating an index

  • Deleting an index

  • Opening/closing an index

  • Putting a mapping in an index

  • Getting a mapping

  • Deleting a mapping

  • Refreshing an index

  • Flushing an index

  • Optimizing an index

  • Checking if an index or type exists

  • Managing index settings

  • Using index aliases

  • Indexing a document

  • Getting a document

  • Deleting a document

  • Updating a document

  • Speeding up atomic operations (bulk)

  • Speeding up GET