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)

The limits of the WHERE keyword


At this point, we've seen that you can look up rows by partition key alone, or by a combination of a partition key and a clustering column. We can easily imagine other ways to use WHERE, but it's not as flexible as we might hope.

Restricting by clustering column

In Chapter 3, Organizing Related Data, you learned that any row in a table is uniquely identified by the combined values of its primary key columns. However, in the case of user_status_updates, the role of the username column is superfluous for the purposes of uniqueness; since id is a UUID, we know that it alone will uniquely identify the row on its own.

So, can we skip the username partition key and just look up rows by the id clustering column? Let's give it a shot:

SELECT * FROM "user_status_updates"
WHERE id = 3f9b5f00-e8f7-11e3-9211-5f98e903bf02;

This query is a syntactically valid CQL, and the WHERE clause identifies an existing row in the table - specifically, the status update whose body reads...