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Learning Apache Cassandra

You're reading from   Learning Apache Cassandra Managing fault-tolerant, scalable data with high performance

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Product type Paperback
Published in Apr 2017
Publisher
ISBN-13 9781787127296
Length 360 pages
Edition 2nd Edition
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Author (1):
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Sandeep Yarabarla Sandeep Yarabarla
Author Profile Icon Sandeep Yarabarla
Sandeep Yarabarla
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Table of Contents (15) Chapters Close

Preface 1. Getting Up and Running with Cassandra FREE CHAPTER 2. The First Table 3. Organizing Related Data 4. Beyond Key-Value Lookup 5. Establishing Relationships 6. Denormalizing Data for Maximum Performance 7. Expanding Your Data Model 8. Collections, Tuples, and User-Defined Types 9. Aggregating Time-Series Data 10. How Cassandra Distributes Data 11. Cassandra Multi-Node Cluster 12. Application Development Using the Java Driver 13. Peeking under the Hood 14. Authentication and Authorization

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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