【文件属性】：
文件名称：Mastering ElasticSearch 5.0 - Third Edition
文件大小：7.37MB
文件格式：EPUB
更新时间：2020-04-05 13:32:35
database SQL
English | ISBN: 1786460181 | 2017 | EPUB | 508 Pages | 7,4 MB
Key Features
Master the searching, indexing, and aggregation features in ElasticSearch
Improve users' search experience with Elasticsearch's functionalities and develop your own Elasticsearch plugins
A comprehensive, step-by-step guide to master the intricacies of ElasticSearch with ease
Book Description
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. With this book you will finally be able to fully utilize the power that Elasticsearch.
We will start with a brief recap on the basics and also introduce you to the new features of Elasticsearch 5.0. We will guide you through the intermediate and advanced functionalities of Elasticsearchsuch 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.
What you will learn
Understand Apache Lucene and the Elasticsearch 5.0 design and architecture
Use and configure the new and improved default text scoring mechanism in Apache Lucene 6
Know how to overcome the pitfalls while handling relational data in Elasticsearch
Write and develop customized plugins to extend Elasticsearch
Explore the right way of scaling production clusters to improve the performance of Elasticsearch