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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 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

Chapter 6. Denormalizing Data for Maximum Performance

In the previous chapter, we created a structure that allows a user to follow other users. The goal of the follow system was to allow users to see all of their followed users' status updates in one place that we'll call the "home timeline". In this chapter, we will build a table to store users' home timelines.

The follow structures in Chapter 5, Establishing Relationships introduced the concept of denormalization, the practice of storing the same piece of data in more than one place in order to optimize read performance. The denormalization we used for follows was fairly mild, however, each follow relationship is stored in exactly two places. For home timelines, we will create a much more aggressively denormalized data structure: a given piece of data will be stored in an arbitrary number of places.

While this highly denormalized structure will be the end result of our work in this chapter, we'll...

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