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

Chapter 4. Performance Tuning in RethinkDB

As the size of your database grows and stores and processes million rows of records daily, so comes the challenge along with it, that is, performance. Query response time decreases as the size of data grows, most frequently accessed data puts a lot of load on the system. As we know, RethinkDB is a distributed database and it can store, index, and process data from multiple databases running independently. To the user end, it seems that the result comes from one database, but actually it doesn't.

This chapter is all about improving performance of RethinkDB by setting up clusters, replicating tables, and sharding data to improve the query time. We will also learn about the RethinkDB query profiler, which could be of great help for recognizing query performance issues.

In this chapter, we will cover the following topics:

  • Creating and handling a RethinkDB cluster

  • Securing a RethinkDB cluster

  • Executing ReQL queries in a cluster

  • Performing replication of a...