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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

Consistency in action

For a single-node cluster, consistency and replication factor didn't matter since you had only one copy of the data residing on the lone instance, and the instance had to be up all the time for the writes/reads to succeed regardless of the consistency level used. However, the dynamics change significantly for a multinode cluster as witnessed in the previous chapter. We will create two keyspaces; one with replication factor 2 and the other with replication factor 3. We will then stop a running instance and try out read/write operations with different consistency levels.

Write consistency

Let's create the keyspaces with replication factors 2 and 3 as discussed in the preceding section. To distinguish both the keyspaces, we will include...

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