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Learning Apache Cassandra - Second Edition

You're reading from Learning Apache Cassandra - Second Edition

Product type Book

Published in Apr 2017

Publisher

ISBN-13 9781787127296

Pages 360 pages

Edition 2nd Edition

Languages

Concepts

Table of Contents (14) Chapters

1. Getting Up and Running with Cassandra

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

Comparing data structures

We've now seen five different data structures that allow us to store multiple values within a single field. Each data structure has certain advantages and disadvantages, and each is best suited to particular use cases. In the following table, we summarize the important features of each of the data structures from this chapter:

	Set	List	Map	Tuple	User-defined Type
Size	Flexible	Flexible	Flexible	Fixed	Fixed
Discrete updates	Yes	Yes	Yes	No	No
Partial Selection	No	No	No	No	Yes
Name-value pairs	No	No	Yes	No	Yes
Multiple Types	No	No	Keys and Values	Yes	Yes
Index	Individual elements	Individual elements	Individual elements	Entire value	Entire value
Can be used as primary key	No	No	No	Yes	Yes

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