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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

Table configuration options

So far, we have looked at a few configuration options, especially to enable certain functionalities in Cassandra or configure Cassandra as you would in a production cluster. We have looked at keyspace replication options, such as replication strategy and replication factor. Similarly, you can set certain configuration parameters for a table as well. Let's look at the schema of our table users:

Here, you will notice a bunch of configurations being mentioned after the WITH keyword. Even though we didn't mention them when creating the table, Cassandra automatically sets the default values. Let's take a look at some of these options:

  • Caching: Cassandra provides two caching mechanisms to store data that is read frequently in memory so it can be fetched faster during later requests. Key cache is used to store partition keys and their locations on disk in memory. Row cache is...
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