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Getting Started with RethinkDB

You're reading from   Getting Started with RethinkDB Absorb the knowledge required to utilize, manage, and deploy

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Product type Paperback
Published in Mar 2016
Publisher Packt
ISBN-13 9781785887604
Length 176 pages
Edition 1st Edition
Languages
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Author (1):
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Gianluca Tiepolo Gianluca Tiepolo
Author Profile Icon Gianluca Tiepolo
Gianluca Tiepolo
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Table of Contents (9) Chapters Close

Preface 1. Introducing RethinkDB FREE CHAPTER 2. The ReQL Query Language 3. Clustering, Sharding, and Replication 4. Performance Tuning and Advanced Queries 5. Programming RethinkDB in Node.js 6. RethinkDB Administration and Deployment 7. Developing Real-Time Web Applications Index

Clustering RethinkDB

Clustering in RethinkDB's context refers to the ability of several server or instances to support a single database. An instance can be a database process on the same machine as other RethinkDB instances, or it can be a completely different and separate server.

Clustering offers three major advantages especially in databases with large datasets:

  • Data scalability
  • Fault tolerance
  • Load balancing

As we have seen in the previous sections, clustering solves the increasing data volume problem as it allows us to store large quantities of data in multiple instances. This is because a single machine has limited capacity.

Clustering also provides us with additional fault tolerance; that is, in the event that a software component fails, a backup component or procedure can immediately take place; in fact, in a clustered environment, because there is more than one instance for the client to connect to, there will always be an alternative endpoint for the client in the event of an...

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