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Mastering Apache Cassandra 3.x - Third Edition

You're reading from  Mastering Apache Cassandra 3.x - Third Edition

Product type Book
Published in Oct 2018
Publisher Packt
ISBN-13 9781789131499
Pages 348 pages
Edition 3rd Edition
Languages
Authors (3):
Aaron Ploetz Aaron Ploetz
Profile icon Aaron Ploetz
Tejaswi Malepati Tejaswi Malepati
Profile icon Tejaswi Malepati
Nishant Neeraj Nishant Neeraj
Profile icon Nishant Neeraj
View More author details

Table of Contents (12) Chapters

Preface 1. Quick Start 2. Cassandra Architecture 3. Effective CQL 4. Configuring a Cluster 5. Performance Tuning 6. Managing a Cluster 7. Monitoring 8. Application Development 9. Integration with Apache Spark 10. References 11. Other Books You May Enjoy

Cassandra's ring architecture

An aspect of Cassandra's architecture that demonstrates its AP CAP designation is in how each instance works together. A single-instance running in Cassandra is known as a node. A group of nodes serving the same dataset is known as a cluster or ring. Data written is distributed around the nodes in the cluster. The partition key of the data is hashed to determine it's token. The data is sent to the nodes responsible for the token ranges that contain the hashed token value.

The consistent hashing algorithm is used in many distributed systems, because it has intrinsic ways of dealing with changing range assignments. You can refer to Cassandra High Availability by Strickland R. (2014), published by Packt.

The partition key (formerly known as a row key) is the first part of PRIMARY KEY, and the key that determines the row’s token...

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