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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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Toc

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

Beyond two columns

We've now seen a table with two columns in its primary key: a partition key, and a clustering column. As it turns out, neither of these roles is limited to a single column. A table can define one or more partition key columns, and zero or more clustering columns.

For instance, in our status application, we might want to allow users to reply to other users' status updates. In this case, each status update would have a stream of replies; replies would be partitioned by the full primary key of the original status update, and each reply would get its own timestamped UUID:

CREATE TABLE "status_update_replies" (
  "status_update_username" text,
  "status_update_id" timeuuid,
  "id" timeuuid,
  "author_username" text,
  "body" text,
  PRIMARY KEY (
    ("status_update_username", "status_update_id"),
    "id"
  )
);

Note the extra set of parentheses around the status_update_username...

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