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Learning Apache Cassandra

You're reading from   Learning Apache Cassandra Managing fault-tolerant, scalable data with high performance

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Product type Paperback
Published in Apr 2017
Publisher
ISBN-13 9781787127296
Length 360 pages
Edition 2nd Edition
Languages
Concepts
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Author (1):
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 Yarabarla Yarabarla
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Yarabarla
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Toc

Table of Contents (14) Chapters Close

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 11. Cassandra Multi-Node Cluster 12. Application Development Using the Java Driver 13. Peeking under the Hood 14. Authentication and Authorization

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 aforementioned 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...

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