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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
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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

Logging


In addition to keeping an eye on JMX statistics, there are several levels of log files that should be monitored so that they can be analyzed in case of failure. Ideally, you should be using some sort of log aggregation (such as Flume, FluentD, Splunk, or other similar tools) to make it easier to make sense of logs. Also, aggregation ensures that catastrophic node failures don't prevent you from recovering logs from the problematic hosts, which may be the most important bit of diagnostic data available.

Cassandra logs

Cassandra itself provides two logs, and both are located in the configured logging directory, which is /var/log/cassandra by default. The first, system.log, is a rolling log of Cassandra's logback output. The second, output.log, shows standard out and standard error and is overwritten on startup.

If you are experiencing an issue that warrants lower-level logging than the default INFO level, you can adjust the logging level by editing the logback.xml file (in the conf directory...

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