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Scala and Spark for Big Data Analytics
book

Scala and Spark for Big Data Analytics

by Sridhar Alla, Md. Rezaul Karim
July 2017
Intermediate to advanced
796 pages
18h 55m
English
Packt Publishing
Content preview from Scala and Spark for Big Data Analytics

Logging

Finally, logging can be configured through the log4j.properties file under your Spark application tree, as discussed in the preceding section. Spark uses log4j for logging. There are several valid logging levels supported by log4j with Spark; they are as follows:

Log Level Usages
OFF This is the most specific, which allows no logging at all
FATAL This is the most specific one that shows fatal errors with little data
ERROR This shows only the general errors
WARN This shows warnings that are recommended to be fixed but not mandatory
INFO This shows information required for your Spark job
DEBUG While debugging, those logs will be printed
TRACE This provides the least specific error trace with a lot of data
ALL Least ...
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Publisher Resources

ISBN: 9781785280849