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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

Chapter 5. Establishing Relationships

At this point, we might declare our MyStatus application a minimum viable product. Users can create accounts and post status updates, and those status updates can be viewed in their authors' timelines. And, of course, since we're storing the data in Cassandra, we don't need to worry about scaling up to millions of users or billions of status updates.

As our service grows, however, it would be nice for users to be able to view all their friends' status updates in one place. The first step of that, of course, would be to know who a user's friends are. So, we'll build a feature that allows one user to follow another.

We've already seen a good way to use Cassandra to model a specific type of relationship. Compound primary keys are a natural fit for parent-child associations but a follow relationship is many-to-many: I follow many users, and—hopefully—many users follow me.

In this chapter, we'll...

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