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Learning Apache Cassandra

You're reading from   Learning Apache Cassandra Managing fault-tolerant, scalable data with high performance

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Product type Paperback
Published in Apr 2017
Publisher
ISBN-13 9781787127296
Length 360 pages
Edition 2nd Edition
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Author (1):
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Sandeep Yarabarla Sandeep Yarabarla
Author Profile Icon Sandeep Yarabarla
Sandeep Yarabarla
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Table of Contents (15) Chapters Close

Preface 1. Getting Up and Running with Cassandra FREE CHAPTER 2. The First Table 3. Organizing Related Data 4. Beyond Key-Value Lookup 5. Establishing Relationships 6. Denormalizing Data for Maximum Performance 7. Expanding Your Data Model 8. Collections, Tuples, and User-Defined Types 9. Aggregating Time-Series Data 10. How Cassandra Distributes Data 11. Cassandra Multi-Node Cluster 12. Application Development Using the Java Driver 13. Peeking under the Hood 14. Authentication and Authorization

3 - node cluster

So far, through our journey across using Cassandra, we have been working with a single instance to create tables and test all the cool features provided by Cassandra. We haven't taken advantage of the distributed nature of Cassandra. With a single-node cluster, most operations don't require any sort of tweaking or performance tuning. Even the configuration operations can be left as default for the most part. But with a multi-node cluster, quite a few changes are required in order to get a balance between throughput and availability as well as getting gossip and other internal Cassandra operations to work properly. In this section, we will set up a 3-node cluster.

Prerequisites

You can set up a single-node cluster on your personal laptop...

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