Book Image

Elasticsearch Essentials

Book Image

Elasticsearch Essentials

Overview of this book

With constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. ElasticSearch, which is the world's most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazing fast search solutions over a massive amount of data, but can also serve as a NoSQL data store. This guide will take you on a tour to become a competent developer quickly with a solid knowledge level and understanding of the ElasticSearch core concepts. Starting from the beginning, this book will cover these core concepts, setting up ElasticSearch and various plugins, working with analyzers, and creating mappings. This book provides complete coverage of working with ElasticSearch using Python and performing CRUD operations and aggregation-based analytics, handling document relationships in the NoSQL world, working with geospatial data, and taking data backups. Finally, we’ll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practices.
Table of Contents (18 chapters)
Elasticsearch Essentials
About the Author
About the Reviewer

Chapter 1. Getting Started with Elasticsearch

Nowadays, search is one of the primary functionalities needed in every application; it can be fulfilled by Elasticsearch, which also has many other extra features. Elasticsearch, which is built on top of Apache Lucene, is an open source, distributable, and highly scalable search engine. It provides extremely fast searches and makes data discovery easy.

In this chapter, we will cover the following topics:

  • Concepts and terminologies related to Elasticsearch

  • Rest API and the JSON data structure

  • Installing and configuring Elasticsearch

  • Installing the Elasticsearch plugins

  • Basic operations with Elasticsearch