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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

Multidata center cluster

One of the nice features of Cassandra that makes it a popular NoSQL database in the industry is its native support for multidata center clusters. There are no manual steps required to clone data from one data center to another. Once the cluster is properly configured with two data centers, all the requests (read or write) are forwarded to both data centers. For this setup to work, a few configuration changes, as well as schema changes, are required.

Here is an illustration of a multidata center cluster:

Here, we have two datacenters named DC1 and DC2, each with four nodes. For simplicity purposes, I am assuming a token range of 0-100. We will notice that the entire token range is split into four ranges on both the data centers rather than eight ranges. This means the same data is written to both the data centers. Even though they are part of the same cluster, both of them are considered...

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