Book Image

Learning Apache Cassandra - Second Edition

Book Image

Learning Apache Cassandra - Second Edition

Overview of this book

Cassandra is a distributed database that stands out thanks to its robust feature set and intuitive interface, while providing high availability and scalability of a distributed data store. This book will introduce you to the rich feature set offered by Cassandra, and empower you to create and manage a highly scalable, performant and fault-tolerant database layer. The book starts by explaining the new features implemented in Cassandra 3.x and get you set up with Cassandra. Then you’ll walk through data modeling in Cassandra and the rich feature set available to design a flexible schema. Next you’ll learn to create tables with composite partition keys, collections and user-defined types and get to know different methods to avoid denormalization of data. You will then proceed to create user-defined functions and aggregates in Cassandra. Then, you will set up a multi node cluster and see how the dynamics of Cassandra change with it. Finally, you will implement some application-level optimizations using a Java client. By the end of this book, you'll be fully equipped to build powerful, scalable Cassandra database layers for your applications.
Table of Contents (14 chapters)

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...