ElasticSearch Cookbook, 2nd Edition: Over 130 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with ElasticSearch

Over 130 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with ElasticSearch

About This Book
Deploy and manage simple ElasticSearch nodes as well as complex cluster topologies Write native plugins to extend the functionalities of ElasticSearch to boost your business Packed with clear, step-by-step recipes to walk you through the capabilities of ElasticSearch

Who This Book Is For

If you are a developer who implements ElasticSearch in your web applications and want to sharpen your understanding of the core elements and applications, this is the book for you. It is assumed that you've got working knowledge of JSON and, if you want to extend ElasticSearch, of Java and related technologies.

What You Will Learn
Make ElasticSearch work for you by choosing the best cloud topology and powering it with plugins Develop tailored mapping to take full control of index steps Build complex queries through managing indices and documents Optimize search results through executing analytics aggregations Manage rivers (SQL, NoSQL, and web-based) to synchronize and populate cross-source data Develop web interfaces to execute key tasks Monitor the performance of the cluster and nodes

In Detail

This book will guide you through the complete ElasticSearch ecosystem. From choosing the correct transport layer and communicating with the server to creating and customizing internal actions, you will develop an in-depth knowledge of the implementation of the ElasticSearch architecture.
After creating complex queries and analytics, mapping, aggregation, and scripting, you will master the integration of ElasticSearch's functionality in user-facing applications and take your knowledge one-step further by building custom plugins, developing tailored mapping, executing powerful analytics, and integrating with Python and Java applications.