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

CRUD operations using elasticsearch-py

Elasticsearch is written in Java but it is interoperable with non-JVM languages too. In this book, we will use its Python client, elasticsearch-py, as well as its Java client to perform all the operations. The best part of this Python client library is that it communicates over HTTP and gives you the freedom to write your settings, mappings, and queries using plain JSON objects, and allows them to pass into the body parameters of the requests. To read more about this client, you can visit this URL:

All the examples used in this book are based on Python 2.7. However, they are compatible with Python version 3 also.

Setting up the environment

In this section, you will learn how to set up Python environments on Ubuntu using pip and virtualenv.

Installing Pip

Pip is a package installer for Python modules. It can be installed using the following commands:

sudo apt-get install python-pip python-dev build-essential...