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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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Toc

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

Logging


In addition to keeping an eye on JMX statistics, there are several levels of logfiles that should be monitored so they can be analyzed in case of failure. Ideally, you should use some sort of log aggregation (such as Flume, FluentD, or Splunk) 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 log4j output. The second, output.log, shows standard output 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 log4j-server.properties (in the config directory). The level is determined...

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