Further your knowledge of the Elasticsearch server by learning more about its internals, querying, and data handling
Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. Elasticsearch leverages the capabilities of Apache Lucene, providing a new level of control over how you can index and search even huge sets of data.
This book covers intermediate and advanced functionalities of Elasticsearch and walks you through its internals including caches, the Apache Lucene library, and its monitoring capabilities. You'll learn about practical usage of Elasticsearch configuration parameters and how to use the monitoring API.
With this book, you'll delve into Elasticsearch's query rewrite, query template, bulk operation, document grouping, and function score queries. You will also learn how to improve user search experience, index distribution, segment statistics, and merging. By the end of the book, you will be able to enhance Elasticsearch's performance and create your own Elasticsearch plugins.
What You Will Learn
Understand Apache Lucene and Elasticsearch's design and architecture
Use and configure different scoring models to alter the default scoring mechanism
Choose the appropriate amount of shards and replicas for your deployment
Improve user search experience by utilizing Elasticsearch functionality
Control segment merging and learn why Elasticsearch uses merging
Develop custom Elasticsearch plugins and cover detailed examples of how to extend Elasticsearch by writing your own plugins
Apply your knowledge to create scalable, efficient, and fault tolerant clusters and monitor your cluster by using and understanding the Elasticsearch API
Downloading the example code for this book. You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.