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Cassandra High Availability

You're reading from   Cassandra High Availability Harness the power of Apache Cassandra to build scalable, fault-tolerant, and readily available applications

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Product type Paperback
Published in Dec 2014
Publisher Packt
ISBN-13 9781783989126
Length 186 pages
Edition 1st Edition
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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 (11) Chapters Close

Preface 1. Cassandra's 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 High Availability 8. Antipatterns 9. Failing Gracefully Index

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 upon the Cassandra version, but the key ideas remain the same.

The objective here is to give you an understanding of the available statistics so 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) that essentially comprises 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 to handle a variety of tasks.

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

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