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

Using Kibana Dev tools

Kibana provides a very handy section for developers: Dev Tools. In the open source version, this section is composed of three tools:

  • Dev-Console: The place where the developer tests and execute commands
  • Search Profiler: A tool that is used to profile queries
  • Grok Debugger: This is useful for debugging Grok regular expressions

Getting ready

You will need an up-and-running Elasticsearch installation—similar to the one that we described in the Downloading and installing Elasticsearch recipe in Chapter 1, Getting StartedAdditionally, a working Kibana instance is required, as described in the Installing Kibana recipe of this chapter.

If you have used Docker Compose, which is available...