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Learning Apache Cassandra

Learning Apache Cassandra - Second Edition

By : Sandeep Yarabarla, Graham Doman
4 (26)
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Learning Apache Cassandra

Learning Apache Cassandra

4 (26)
By: Sandeep Yarabarla, Graham Doman

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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Consistency

Masterless replication offers huge advantages in maintaining full availability in the face of hardware failure, but it also creates a thorny, if subtle, problem: how can we be sure that the data we're reading is the most recent version of that data?

Let's first consider the master-follower architecture we discussed earlier. When our application issues a write request to the master instance, that request only returns a successful response once the data has been successfully written to the master instance. A successful response does not, however, guarantee that the data has been replicated to all of the followers: any master-follower system will involve some delay before writes are replicated to the followers.

Still, in this system, there is a simple way to guarantee that, when we read a piece of data, we're reading the most up-to-date version of it: simply read from the master. Of course...

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Learning Apache Cassandra
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