Book Image

Learning Elasticsearch

By : Abhishek Andhavarapu
Book Image

Learning Elasticsearch

By: Abhishek Andhavarapu

Overview of this book

Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. You can use Elasticsearch for small or large applications with billions of documents. It is built to scale horizontally and can handle both structured and unstructured data. Packed with easy-to- follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch and know how to utilize its capabilities efficiently. You will install and set up Elasticsearch and Kibana, and handle documents using the Distributed Document Store. You will see how to query, search, and index your data, and perform aggregation-based analytics with ease. You will see how to use Kibana to explore and visualize your data. Further on, you will learn to handle document relationships, work with geospatial data, and much more, with this easy-to-follow guide. Finally, you will see how you can set up and scale your Elasticsearch clusters in production environments.
Table of Contents (11 chapters)
10
Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Configuring Elasticsearch

Elasticsearch is designed to work out of the box. Most settings can be changed on the fly using the settings API. While in development, the default settings should be sufficient. But for production, depending on your application, you need to modify settings, such as memory, file descriptors, and so on. In this section, we will look at the important settings to configure before going to production. First, let's start by looking at the directory structure of Elasticsearch.

The directory structure

You can choose between .zip/.tar.gz or deb/rpm to install Elasticsearch. Depending on how you install, the directory structure, location of log files, the location of the configuration file, and how you...