Book Image

ElasticSearch Cookbook

By : Alberto Paro
Book Image

ElasticSearch Cookbook

By: Alberto Paro

Overview of this book

ElasticSearch is one of the most promising NoSQL technologies available and is built to provide a scalable search solution with built-in support for near real-time search and multi-tenancy. This practical guide is a complete reference for using ElasticSearch and covers 360 degrees of the ElasticSearch ecosystem. We will get started by showing you how to choose the correct transport layer, communicate with the server, and create custom internal actions for boosting tailored needs. Starting with the basics of the ElasticSearch architecture and how to efficiently index, search, and execute analytics on it, you will learn how to extend ElasticSearch by scripting and monitoring its behaviour. Step-by-step, this book will help you to improve your ability to manage data in indexing with more tailored mappings, along with searching and executing analytics with facets. The topics explored in the book also cover how to integrate ElasticSearch with Python and Java applications. This comprehensive guide will allow you to master storing, searching, and analyzing data with ElasticSearch.
Table of Contents (19 chapters)
ElasticSearch Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Understanding node services


When a node is running, a lot of services are managed by its instance. Services provide additional functionalities to a node and they cover different behaviors such as networking, indexing, analyzing, and so on.

Getting ready

Every ElasticSearch server that is running provides services.

How it works...

ElasticSearch natively provides a large set of functionalities that can be extended with additional plugins. During a node startup, a lot of required services are automatically started. The most important are as follows:

  • Cluster services manage cluster state and intra-node communication and synchronization

  • Indexing service manages all the index operations, initializing all active indices and shards

  • Mapping service that manages the document types stored in the cluster (we'll discuss mapping in Chapter 3, Managing Mapping)

  • Network services, such as HTTP REST services (default on port 9200), internal ES protocol (on port 9300) and Thrift server (on port 9500 if thrift plugin is installed)

  • Plugin service (discussed in Chapter 2, Downloading and Setting Up ElasticSearch, for installation and Chapter 12, Plugin Development, for detailed usage)

  • River service (covered in Chapter 8, Rivers)

  • Language scripting services that allow adding new language scripting support to ElasticSearch

Note

Throughout the book, we'll see recipes that interact with ElasticSearch services. Every base functionality or extended functionality is managed in ElasticSearch as a service.