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)

Cassandra data modelling


Cassandra data modeling is the process of designing tables. This could involve drawing up an entity-relationship diagram, designing tables based on queries, and finally, making optimizations based on the features supported by Cassandra. Ideally, the data model can be split into three levels of abstraction:

  • Conceptual data model: A conceptual data model represents a high level view of the data. It is technology agnostic and not specific to Cassandra or any other database system. The purpose of creating a conceptual data model is to understand the data. We get a clear idea of the entities involved and the relationships between different entities. For our case, we will be using the entity relationship model as the conceptual data model.
  • Logical data model: A logical data model will act as a bridge between the business case and the final table design. We will use the conceptual model and apply query-driven design rules to get a logical data model.
  • Physical data model: A...