Book Image

Elasticsearch 7 Quick Start Guide

By : Anurag Srivastava, Douglas Miller
Book Image

Elasticsearch 7 Quick Start Guide

By: Anurag Srivastava, Douglas Miller

Overview of this book

Elasticsearch is one of the most popular tools for distributed search and analytics. This Elasticsearch book highlights the latest features of Elasticsearch 7 and helps you understand how you can use them to build your own search applications with ease. Starting with an introduction to the Elastic Stack, this book will help you quickly get up to speed with using Elasticsearch. You'll learn how to install, configure, manage, secure, and deploy Elasticsearch clusters, as well as how to use your deployment to develop powerful search and analytics solutions. As you progress, you'll also understand how to troubleshoot any issues that you may encounter along the way. Finally, the book will help you explore the inner workings of Elasticsearch and gain insights into queries, analyzers, mappings, and aggregations as you learn to work with search results. By the end of this book, you'll have a basic understanding of how to build and deploy effective search and analytics solutions using Elasticsearch.
Table of Contents (10 chapters)

Brief history and background

Developed in 2012, Elastic is an open source company that develops a distributed open source search engine based on Lucene. The history of Elastic starts with its main founder, Shay Banon, who wanted to explore making searching easier. In 2004, he released his first open source search-based product called Compass. This first iteration of open source search tools served as an inspiration, and, from Compass onward, searching has improved.

Around Elasticsearch grew a small community that would later lead to important partnerships that grew the company's capabilities. Jordan Sissel was working on a plugin ingestion tool named Logstash that sent the user logs to a stash, and Elasticsearch was one of those stashes. A visualization engine was needed and was provided by Rashid Khan, who was working on Kibana. Other contributors provided their own features and add-ons, and, hence, a stack of software was developed. The main product of Elastic continues to be Elasticsearch, and this is the focus of the following chapters.