Book Image

Mastering RethinkDB

By : Shahid Shaikh
Book Image

Mastering RethinkDB

By: Shahid Shaikh

Overview of this book

RethinkDB has a lot of cool things to be excited about: ReQL (its readable,highly-functional syntax), cluster management, primitives for 21st century applications, and change-feeds. This book starts with a brief overview of the RethinkDB architecture and data modeling, and coverage of the advanced ReQL queries to work with JSON documents. Then, you will quickly jump to implementing these concepts in real-world scenarios, by building real-time applications on polling, data synchronization, share market, and the geospatial domain using RethinkDB and Node.js. You will also see how to tweak RethinkDB's capabilities to ensure faster data processing by exploring the sharding and replication techniques in depth. Then, we will take you through the more advanced administration tasks as well as show you the various deployment techniques using PaaS, Docker, and Compose. By the time you have finished reading this book, you would have taken your knowledge of RethinkDB to the next level, and will be able to use the concepts in RethinkDB to develop efficient, real-time applications with ease.
Table of Contents (16 chapters)
Mastering RethinkDB
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface

Integrating RethinkDB with ElasticSearch


To perform real-time full text search, it is recommended to use ElasticSearch-a database made for searches. ElasticSearch is a very advanced search database based on Apache Lucene, which allows you to perform full text searches efficiently.

Before we go ahead with integration, let's look over some basics of ElasticSearch.

Introducing ElasticSearch

ElasticSearch is real-time, distributed, document-oriented, and full-text-based search database. It provides you with immediate search availability with very easy-to-use RESTful APIs.

ElasticSearch is based upon Apache Lucene but with more advanced features, such as geo-location, did-you-mean search suggestion, autocomplete, and much more. It also provides schemaless architecture so that you can start very quickly; just dump your existing data in ElasticSearch as documents and it will make it searchable in no time, just like that!

In order to begin with ElasticSearch, let me explain you some terms and what they...