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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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Gossip protocol

In past sections, we have dwelt on how Cassandra distributes data using partitioners and how Cassandra replicates data for high availability. For the earlier said features to work, every node within the cluster should have information about every other node. Cassandra nodes should get the information when a new node is added so they can rearrange the token ranges. They should know whenever a node is down so they can store hints. So, there has to be some sort of communication between the nodes so each node can maintain the entire cluster view up to date at all times. Cassandra uses a gossip protocol for internode communication.

Gossip protocol is mainly used to relay information about the location and state of other nodes in the cluster. Each node sends information about itself and other nodes they gossip with to up to three other nodes every second. This way, the entire cluster view is propagated...

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