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)

Collections and secondary indexes


Let's say we'd like to get a list of all of the status updates that alice has starred; we can display this as part of her user profile. In order to do this, we'd like to be able to look up all the rows in the user_status_updates table, where the starred_by_users column contains the value alice. This is similar to the use case for a secondary index that we explored in the Using secondary indexes to avoid denormalization section of Chapter 5, Establishing Relationships, except that in this case, we'd like to be able to perform a lookup based on a single value within a collection column.

Fortunately, it is entirely valid to put a secondary index on a collection column. The syntax for this is identical to putting an index on any other column:

CREATE INDEX ON "user_status_updates" ("starred_by_users"); 

So far so good.

Now, we'll introduce the CONTAINS operator, which can be used to look up rows by a value in a collection column:

SELECT * FROM "user_status_updates...