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Cassandra 3.x High Availability

You're reading from   Cassandra 3.x High Availability Achieve scalability and high availability without compromising on performance

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Product type Paperback
Published in Aug 2016
Publisher
ISBN-13 9781786462107
Length 196 pages
Edition 2nd Edition
Languages
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Author (1):
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Robbie Strickland Robbie Strickland
Author Profile Icon Robbie Strickland
Robbie Strickland
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Table of Contents (10) Chapters Close

Preface 1. Cassandras Approach to High Availability FREE CHAPTER 2. Data Distribution 3. Replication 4. Data Centers 5. Scaling Out 6. High Availability Features in the Native Java Client 7. Modeling for Availability 8. Anti-Patterns 9. Failing Gracefully

When a node goes down


In a cluster of any significant size, nodes are bound to become unresponsive for a variety of reasons. Fortunately, Cassandra has a sophisticated mechanism called the failure detector that is designed to determine when this has occurred and then mark the node as down.

Most node failures result from temporary conditions, such as network issues. Therefore, Cassandra assumes that the node will eventually come back online and that permanent cluster changes will be executed explicitly using nodetool.

Marking a downed node

Each node keeps track of the state of other nodes in the cluster by means of an accrual failure detector (or phi failure detector). This detector evaluates the health of other nodes based on a sliding window of gossip message arrival times. It computes the statistical distribution of those arrival times per node, thus taking into account the current state of the network rather than using naive thresholds or timeouts.

The ultimate result of the failure detection...

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