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Learning Apache Cassandra

You're reading from   Learning Apache Cassandra Build an efficient, scalable, fault-tolerant, and highly-available data layer into your application using Cassandra

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Product type Paperback
Published in Feb 2015
Publisher
ISBN-13 9781783989201
Length 246 pages
Edition 1st Edition
Languages
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Author (1):
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Matthew Brown Matthew Brown
Author Profile Icon Matthew Brown
Matthew Brown
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Table of Contents (14) 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 A. Peeking Under the Hood B. Authentication and Authorization Index

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 same general shape as that for the users column family, but the way...

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