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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 2. The First Table FREE CHAPTER 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 normalized approach


Before we proceed down the path of denormalization, let's first try an approach that requires adding no new tables to our schema. Our goal is to display to a user all the status updates of all the users they follow, the most recent first. So, the simplest approach would be to simply look up the followed users, and then retrieve their status updates.

If you've been following along with the code examples so far, you should currently have a single follow relationship in the database, such as alice follows carol. To make things more interesting, let's also have alice follow dave:

INSERT INTO "user_outbound_follows"
  ("follower_username", "followed_username")
VALUES ('alice', 'dave');

INSERT INTO "user_inbound_follows"
  ("followed_username", "follower_username")
VALUES ('dave', 'alice');

Now that alice is following a couple of users, we can build a meaningful home timeline for her. Let's have carol and dave write some updates:

INSERT INTO "user_status_updates" ("username...
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