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 the Ingest Module

Elasticsearch 5.x introduces a set of powerful functionalities that target the problems that arise during ingestion of documents via the ingest node.

In Chapter 1Getting Started, we discussed that the Elasticsearch node can be master, data, or ingest; the idea to split the ingest component from the others is to create a more stable cluster due to problems that can arise when preprocessing documents.

To create a more stable cluster, the ingest nodes should be isolated by the master nodes (and possibly also from the data ones) in the event that some problems may occur, such as a crash due to an attachment plugin and high loads due to complex type manipulation.

The ingestion node can replace a Logstash installation in simple scenarios.

In this chapter, we will cover the following recipes:

  • Pipeline definition
  • Inserting an ingest pipeline
  • Getting ...