In this chapter, we have covered the installation of Elasticsearch on different operating systems. We started with installation on Linux and macOS. Then we covered installation using the Debian and rpm packages. We also covered installing Elasticsearch manually using the rpm package. After that, we covered installation on Windows using the MSI installer of Elasticsearch. Then we covered how to install Elasticsearch on macOS using Homebrew. Finally, we covered how to check whether Elasticsearch is running by hitting the Elasticsearch URL. In this way, we have covered the process of installing Elasticsearch on different operating systems. In the next chapter, we will cover how to interact with Elasticsearch using REST calls to call different operations.
Elasticsearch 7 Quick Start Guide
By :
Elasticsearch 7 Quick Start Guide
By:
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.
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Current Title:
Elasticsearch 7 Quick Start Guide
Table of Contents (10 chapters)
Preface
Free Chapter
Introduction to Elastic Stack
Installing Elasticsearch
Many as One – the Distributed Model
Prepping Your Data – Text Analysis and Mapping
Let's Do a Search!
Performance Tuning
Aggregating Datasets
Best Practices
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Customer Reviews