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)

Distributed deletion


When we want to delete data from storage, we might assume that Cassandra simply removes the data from disk and forgets that it ever existed. In a non-distributed environment, this approach to deletion would be entirely sufficient, but deletion is a bit more complex in a distributed database such as Cassandra. To find out why, let's return to and modify our previous scenario with Heather and Charles making concurrent modifications to happycorp's user record.

In our modified scenario, Heather will still be updating the location column to contain New York, but Charles will be attempting to delete the contents of that column altogether. As with the original scenario, they'll be making their respective changes at roughly the same time, and our application will issue the UPDATE and DELETE queries at the ONE consistency level. Consider the following sequence of events:

  1. Heather issues a request to update the location value to New York; this is acknowledged by Replica 1.

 

  1. Charles...