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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

Compound keys represent parent-child relationships

In the What is Cassandra and why Cassandra? section of Chapter 1, Getting Up and Running with Cassandra, you learned that Cassandra is not a relational database despite some surface similarities. Specifically, this means that Cassandra does not have a built-in concept of the relationships between data in different tables. There are no foreign key constraints and there's no JOIN clause available in the SELECT statements; in fact, there is no way to read from multiple tables in the same query whereas relational databases are designed to explicitly account for the relationships between data in different tables, whether they're one-to-one, one-to-many, or many-to-many. Cassandra has no built-in mechanism for describing or traversing inter-table relationships.

That being said, Cassandra's compound primary key structure provides an ample affordance for...

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