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)

Anatomy of a compound primary key


At this point, it's clear that there's some nuance in the compound primary key that we're missing. Both the username column and the id column affect the order in which rows are returned; however, while the actual ordering of username is opaque, the ordering of id is meaningfully related to the information encoded in the id column.

In the lexicon of Cassandra, username is a partition key. A table's partition key groups rows together into logically related bundles. In the case of our MyStatus application, each user's timeline is a self-contained data structure, so partitioning the table by user is a sound strategy.

We call the id column a clustering column. The job of a clustering column is to determine the ordering of rows within a partition. This is why we observed that within each user's status updates, the rows were returned in a strictly ascending order by timestamp of the id. This is a very useful property since our application will want to display status...