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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

Choosing between tuples and user-defined types


As we saw, tuples and user-defined types have a lot in common. In both structures, a column contains a fixed, predefined set of fields, each of which can have its own type. Both structures are stored as frozen, meaning that Cassandra cannot perform discrete operations on their internal components. Both can be indexed and used in the WHERE clause of a query. So how do we decide which to use?

In most cases, a user-defined type is a better option. User-defined types give names to their fields, making it easier for application developers to reason about their usage. Also, user-defined types can be partially selected in queries, tuples cannot.

The only reason to use a tuple is convenience: a tuple does not need to be defined separately from its use in a column definition. So, for quick prototyping of schema structures, a tuple can be a better option. However, for a schema that's going into production, a user-defined type is nearly always going to be...

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