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

Summary


In this chapter, we covered the use of the RethinkDB query language to perform data exploration queries. Apart from that, we also looked over some use cases where we need to perform some alteration and filtering of records in order to meet our exploration task, such as stripping the $ sign from ctc, or converting base 256 ip addresses into base 10 values and performing a query on them. We also covered some general uses cases in order to get a practical feel of ReQL.

In the next chapter, we are going to study performance tuning in RethinkDB. As we have mentioned in Chapter 1, The RethinkDB Architecture and Data Model, RethinkDB comes up with an easy-to-use administrative screen to perform sharding, replication, and so on. We will also look over clustering and running queries in a cluster. Then we will cover query optimization in RethinkDB and tools that can help us to identify query execution time, waiting time, and so on.