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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

Modeling follow relationships


A data model for follow relationships should be able to answer two questions on behalf of a user:

  • Who do I follow?

  • Who follows me?

In Chapter 3, Organizing Related Data, you learned to design our table structures so that all important data access can be accomplished by querying a single partition. For this reason, we're better off considering the above questions separately, and designing the right table schema for each.

Outbound follows

We'll start with the question, "Who do I follow?" We'll want a partition per user, with each partition containing all the other users they follow:

CREATE TABLE "user_outbound_follows" (
  "follower_username" text,
  "followed_username" text,
  PRIMARY KEY ("follower_username", "followed_username")
);

Simple enough, but there's something unusual here: there are only two columns in the table, and they're both part of the primary key. As it turns out, this is a perfectly valid way to construct a table schema; non-key columns are optional...

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