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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 primary keys in column families

Now that we've established the relatively familiar-looking column family structure of users-a table with a simple primary key-let's move on to a table with a compound primary key. To start, let's take a look at home_status_updates, a fairly straightforward table. Recall that this table has a partition key timeline_username; a clustering column status_update_id; and two data columns, body and status_update_username column.

We'll use the LIST command to take a look at the contents of the column family and, beforehand, we'll use the ASSUME command to set the value output format to utf8. This has a similar effect as the AS modifier we used earlier, but it applies to all cells in a column family, rather than only cells with a specific name:

ASSUME home_status_updates VALIDATOR AS utf8; 
LIST home_status_updates;

The output of the LIST command takes the...

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