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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

Fully denormalizing the home timeline


The partially denormalized structure we built using the home_status_update_ids table certainly improves read-time performance, but we're still not at the sweet spot of querying exactly one partition to display the home timeline. In order to do this, we'll need to take the denormalization one step further.

Instead of storing references to status updates in the home timeline, we'll store actual copies of the status updates. Each user's timeline will contain its own copy of the status updates of all the users they follow. We create the following table:

CREATE TABLE "home_status_updates" (
  "timeline_username" text,
  "status_update_id" timeuuid,
  "status_update_username" text,
  "body" text,
  PRIMARY KEY ("timeline_username", "status_update_id")
) WITH CLUSTERING ORDER BY ("status_update_id" DESC);

This table looks very much like the home_status_update_ids table, except it contains an additional body column. By adding body, we now have a table that will...

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