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Learning Apache Cassandra

Learning Apache Cassandra

By : Yarabarla
4 (26)
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Learning Apache Cassandra

Learning Apache Cassandra

4 (26)
By: Yarabarla

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 (15 chapters)
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Cassandra repair mechanisms

Since data is partitioned and replicated onto multiple nodes, there is a possibility that replicas might be out of sync. This is usually due to slow responsiveness of certain nodes or nodes being down. If multiple nodes are out of sync, there is a possibility of reading stale data. There is also a certain case when deleted data reappears. To fix these issues, Cassandra provides three main repair mechanisms. These mechanisms ensure that the data is in sync most of the time. The repair mechanisms are as follows:

  • Hinted handoff
  • Read repair
  • Anti-entropy repair

Hinted handoff

Whenever a node becomes unresponsive or down for a certain period of time, all the write requests to that node will fail. Cassandra keeps a copy of the partitions...

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