What this book covers

Chapter 1, Getting Started, gives you an overview of the basic concepts of ElasticSearch and the ways to communicate with it.

Chapter 2, Downloading and Setting Up, shows the basic steps to start using ElasticSearch, from the simple installation to running multiple nodes.

Chapter 3, Managing Mapping, covers the correct definition of data fields to improve both the indexing and search quality.

Chapter 4, Basic Operations, shows you the common operations that are required to both ingest and manage data in ElasticSearch.

Chapter 5, Search, Queries, and Filters, covers the core search functionalities in ElasticSearch. The search DSL is the only way to execute queries in ElasticSearch.

Chapter 6, Aggregations, covers another capability of ElasticSearch: the possibility to execute analytics on search results in order to improve the user experience and drill down the information.

Chapter 7, Scripting, shows you how to customize ElasticSearch with scripting in different programming languages.

Chapter 8, Rivers, extends ElasticSearch to give you the ability to pull data from different sources such as databases, NoSQL solutions, and data streams.

Chapter 9, Cluster and Node Monitoring, shows you how to analyze the behavior of a cluster/node to understand common pitfalls.

Chapter 10, Java Integration, describes how to integrate ElasticSearch in a Java application using both REST and native protocols.

Chapter 11, Python Integration, covers the usage of the official ElasticSearch Python client and the Pythonic PyES library.

Chapter 12, Plugin Development, describes how to create the different types of plugins: site and native plugins. Some examples show the plugin skeletons, the setup process, and their build.