Book Image

Elasticsearch 8.x Cookbook - Fifth Edition

By : Alberto Paro
Book Image

Elasticsearch 8.x Cookbook - Fifth Edition

By: Alberto Paro

Overview of this book

Elasticsearch is a Lucene-based distributed search engine at the heart of the Elastic Stack that allows you to index and search unstructured content with petabytes of data. With this updated fifth edition, you'll cover comprehensive recipes relating to what's new in Elasticsearch 8.x and see how to create and run complex queries and analytics. The recipes will guide you through performing index mapping, aggregation, working with queries, and scripting using Elasticsearch. You'll focus on numerous solutions and quick techniques for performing both common and uncommon tasks such as deploying Elasticsearch nodes, using the ingest module, working with X-Pack, and creating different visualizations. As you advance, you'll learn how to manage various clusters, restore data, and install Kibana to monitor a cluster and extend it using a variety of plugins. Furthermore, you'll understand how to 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 Elasticsearch cookbook, you'll have gained in-depth knowledge of implementing the Elasticsearch architecture and be able to manage, search, and store data efficiently and effectively using Elasticsearch.
Table of Contents (20 chapters)

ILM – automating rollover

ILM is often used in conjunction with rolling-over indices. These indices usually contain append-only data such as logs.

The standard management of the rollover indices is as follows:

  • Creation of the index, generally managed by an index template.
  • Rolling over the index when it reaches a particular size (the default is 50 GB) or a predefined number of documents.
  • If required, move the indices to different tiers.
  • Delete the index to be aligned with retention policies.

The rollover functionality is generally used with managed indices called data streams. They are append-only data indices that automatically roll over a new index when it meets some criteria of size and number of documents.

These indices are used mainly for the following:

  • Logs
  • Events
  • Metrics
  • Continuously generated data

Getting ready

You need an up-and-running Elasticsearch installation, as we described in the Downloading and installing...