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Mastering Elasticsearch 5.x

Mastering Elasticsearch 5.x

By : Bharvi Dixit
1 (1)
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Mastering Elasticsearch 5.x

Mastering Elasticsearch 5.x

1 (1)
By: Bharvi Dixit

Overview of this book

Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. Elasticsearch leverages the capabilities of Apache Lucene, and provides a new level of control over how you can index and search even huge sets of data. This book will give you a brief recap of the basics and also introduce you to the new features of Elasticsearch 5. We will guide you through the intermediate and advanced functionalities of Elasticsearch, such as querying, indexing, searching, and modifying data. We’ll also explore advanced concepts, including aggregation, index control, sharding, replication, and clustering. We’ll show you the modules of monitoring and administration available in Elasticsearch, and will also cover backup and recovery. You will get an understanding of how you can scale your Elasticsearch cluster to contextualize it and improve its performance. We’ll also show you how you can create your own analysis plugin in Elasticsearch. By the end of the book, you will have all the knowledge necessary to master Elasticsearch and put it to efficient use.
Table of Contents (13 chapters)
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Summary

In this chapter, we learned about developing custom plugins for Elasticsearch. We started with an overview of Apache Maven and its components and then created a custom REST action plugin for creating our own REST endpoints inside Elasticsearch. Finally, we created a custom analyzer plugin, and learned about various internal and useful classes of Elasticsearch and Lucene.

In the next chapter, we will go through the complete Elastic Stack and learn about how to work with Elasticsearch, Logstash, and Kibana together.

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