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.

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Table of Contents (10 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
Introduction to Elastic Stack
Introduction to Elastic Stack
Brief history and background
Why use Elasticsearch?
What is log analysis?
Elastic Stack architecture
Use cases of the Elastic Stack
Summary
2
Installing Elasticsearch
Installing Elasticsearch
Installation of Elasticsearch
Summary
3
Many as One – the Distributed Model
Many as One – the Distributed Model
API conventions
Summary
4
Prepping Your Data – Text Analysis and Mapping
Prepping Your Data – Text Analysis and Mapping
What is an analyzer?
Anatomy of an analyzer
Mapping
Summary
5
Let's Do a Search!
Let's Do a Search!
Introduction to data search
Search API
Summary
6
Performance Tuning
Performance Tuning
Data sparsity
Summary
7
Aggregating Datasets
Aggregating Datasets
What is an aggregation framework?
Metrics aggregations
Bucket aggregations
Pipeline aggregations
Matrix aggregations
Summary
8
Best Practices
Best Practices
Failure to obtain the required data
The best cluster configuration approaches
Data backup and snapshots
Data Analytics using Elasticsearch
Summary
9
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Installing Elasticsearch

In the last chapter, we introduced the Elastic Stack. We covered the basics and different use cases. Now we will focus on Elasticsearch and learn more about it. In this chapter, we will cover the Elasticsearch installation process on different operating systems. Elasticsearch can be installed and run on a computer or on the Elastic Cloud (assuming it's the hosted Elasticsearch service). The latter option uses Amazon Web Services (AWS) and Google Cloud Platform (GCP) to host Elasticsearch and Kibana, and users should note that to run the Elastic Stack, Java 8 or newer is needed. So, let's start the Elasticsearch installation process to understand how it can be installed on different operating systems. In this chapter, we are going to cover the following:

  • Installing Elasticsearch on Linux or macOS
  • Installing Elasticsearch using the Debian package...
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End of Section 1
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