Book Image

Elasticsearch 7.0 Cookbook - Fourth Edition

By : Alberto Paro
Book Image

Elasticsearch 7.0 Cookbook - Fourth 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. With this book, you'll be guided through comprehensive recipes on what's new in Elasticsearch 7, and see how to create and run complex queries and analytics. Packed with recipes on performing index mapping, aggregation, and scripting using Elasticsearch, this fourth edition of Elasticsearch Cookbook will get you acquainted with numerous solutions and quick techniques for performing both every day and uncommon tasks such as deploying Elasticsearch nodes, integrating other tools to Elasticsearch, and creating different visualizations. You will install Kibana to monitor a cluster and also extend it using a variety of plugins. Finally, you will integrate your Java, Scala, Python, and big data applications such as Apache Spark and Pig with Elasticsearch, and create efficient data applications powered by enhanced functionalities and custom plugins. By the end of this book, you will have gained in-depth knowledge of implementing Elasticsearch architecture, and you'll be able to manage, search, and store data efficiently and effectively using Elasticsearch.
Table of Contents (23 chapters)
Title Page

Installing and using Cerebro

Cerebro is the evolution of the previous Elasticsearch plugin, Elasticsearch Kopf (https://github.com/lmenezes/elasticsearch-kopf) – this doesn't work in Elasticsearch version 5.x or later versions due to the removal of site plugins.

Cerebro is one of the most useful interfaces for looking at shard allocations and executing common index operations through a graphic interface. It's completely open source, and it allows you to add a user, password, or LDAP authentication for accessing the web interface.

Cerebro is a partial rewrite of the previous plugin, and it is available as a self-working application server, based on Scala's Play Framework.

Getting ready

You will need an up-and-running...