Book Image

Elasticsearch 5.x Cookbook - Third Edition

By : Alberto Paro
Book Image

Elasticsearch 5.x Cookbook - Third Edition

By: Alberto Paro

Overview of this book

Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. This book is your one-stop guide to master the complete Elasticsearch ecosystem. We’ll guide you through comprehensive recipes on what’s new in Elasticsearch 5.x, showing you how to create complex queries and analytics, and perform index mapping, aggregation, and scripting. Further on, you will explore the modules of Cluster and Node monitoring and see ways to back up and restore a snapshot of an index. You will understand how to install Kibana to monitor a cluster and also to extend Kibana for plugins. Finally, you will also see how you can integrate your Java, Scala, Python, and Big Data applications such as Apache Spark and Pig with Elasticsearch, and add enhanced functionalities with custom plugins. By the end of this book, you will have an in-depth knowledge of the implementation of the Elasticsearch architecture and will be able to manage data efficiently and effectively with Elasticsearch.
Table of Contents (25 chapters)
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface

Introduction


In the previous chapter, we saw how it is possible to use a native client to access the Elasticsearch server via Java. This chapter is dedicated to the Python language and how to manage common tasks via its clients.

Apart from Java, the Elasticsearch team supports official clients for Perl, PHP, Python, .NET, and, Ruby. (See the announcement post on the Elasticsearch blog at http://www.elasticsearch.org/blog/unleash-the-clients-ruby-python-php-perl/.) These clients have a lot of advantages over other implementations. A few of them are mentioned as follows:

  • They are strongly tied to the Elasticsearch API:

                 "These clients are direct translations of the native Elasticsearch REST interface"                                                                                                     - The Elasticsearch team

  • They handle dynamic node detection and failover: they are built with a strong networking base for communicating with the cluster.

  • They have full coverage of...