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)

Inserts, updates, and upserts


So far, we've used the INSERT statements to add new rows to our tables and the UPDATE statements to update information in existing rows. As it turns out, both the INSERT and UPDATE statements can modify existing rows and can create new rows. We took a brief look at how INSERT statements can modify existing data as well in Chapter 2, The First Table. We will expand a bit more on this functionality of Cassandra in this section. At their core, we can most accurately think of the INSERT and UPDATE statements as providing different syntax for the same underlying operation, an upsert.

This is quite astonishing for those of us who are used to SQL, in which the INSERT and UPDATE statements are entirely distinct. While there are some situations in which the upsert behavior is quite handy, it can also be a stumbling block, especially for developers who are new to Cassandra. Fortunately, Cassandra offers us ways to ensure that our write operations behave the way we intend...