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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
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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

A table for status updates


In the MyStatus application, we'll begin by creating a timeline of status updates for each user. Users can view their friends' status updates by accessing the timeline of the friend in question.

The user timeline requires a new level of organization that we didn't see in the users table that we created in the previous chapter. Specifically, we have two requirements:

  • Rows (individual status updates) should be logically grouped by a certain property (the user who created the update)

  • Rows should be accessible in sorted order (in this case, by creation date)

Fortunately, compound primary keys provide exactly these qualities.

Creating a table with a compound primary key

The syntax for creating tables with compound primary keys is a bit different from the single-column primary key syntax we saw in the previous chapter. We create a user_status_updates table with a compound primary key, as follows:

CREATE TABLE "user_status_updates" (
  "username" text,
  "id" timeuuid,
  "body...
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