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 (12 chapters)
11
Index

Chapter 3. Putting Elasticsearch into Action

We have covered a lot of ground on Elasticsearch architecture, indexes, analyzers, and mappings. It's time to start learning about the indexing of data and the querying of Elasticsearch using its rich Query-DSL.

In this chapter, we will cover the following topics:

  • CRUD operations using the Elasticsearch Python client
  • CRUD operations using the Elasticsearch Java client
  • Creating a search database
  • Introducing Query-DSL
  • Search requests using Python
  • Search requests using Java
  • Sorting data
  • Document routing