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Mastering RethinkDB

You're reading from   Mastering RethinkDB Master the skills of building real-time apps dramatically easier with open source, scalable database - RethinkDB

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Product type Paperback
Published in Dec 2016
Publisher Packt
ISBN-13 9781786461070
Length 330 pages
Edition 1st Edition
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Author (1):
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Shahid Shaikh Shahid Shaikh
Author Profile Icon Shahid Shaikh
Shahid Shaikh
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Table of Contents (11) Chapters Close

Preface 1. The RethinkDB Architecture and Data Model 2. RethinkDB Query Language FREE CHAPTER 3. Data Exploration Using RethinkDB 4. Performance Tuning in RethinkDB 5. Administration and Troubleshooting Tasks in RethinkDB 6. RethinkDB Deployment 7. Extending RethinkDB 8. Full Stack Development with RethinkDB 9. Polyglot Persistence Using RethinkDB 10. Using RethinkDB and Horizon

Creating and handling a RethinkDB cluster

We have done enough of theory; let's deal with clustering in RethinkDB. Till now we have covered what clustering really is in terms of computing and what it provides us. In this section, we are going to learn how we can perform clustering in RethinkDB, which by nature is a distributed database.

We will also learn how to add new machines into our existing cluster, manage them from the RethinkDB administrative screen, and monitor them for any errors.

We have two ways to perform RethinkDB clustering:

  • In the same machine with a different RethinkDB instance
  • In a different machine with a different RethinkDB instance

Creating a RethinkDB cluster in the same machine

We can create a RethinkDB cluster in the same machine using the simple command under a minute. Yes you heard it right, in a minute (assuming you have RethinkDB installed). Let's do this.

Lift up the default RethinkDB server using the following command in the terminal:

rethinkdb

It should lift...

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