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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

Monitoring node metrics


Whether you are using JMX monitoring software or the nodetool utility, it is important to know what statistics are worth watching. The names and locations of specific attributes can vary depending on the Cassandra version, but the key ideas remain the same.

The objective here is to give you an understanding of the available statistics so that you will know how to choose the proper monitoring targets. We will use nodetool for this purpose, as its options tend to be more stable. You should find it straightforward to locate the equivalent JMX mbean.

Thread pools

Cassandra's design employs a staged event-driven architecture (SEDA), which essentially comprises of message queues (containing events) feeding into thread pools (or stages). The stages fire off messages to other stages via a messaging service. There are stages for handling a variety of tasks.

Running nodetool tpstats provides detailed information about what's happening at each of the stages. A buildup of pending...

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