Hi there,
we're haveing a strange Problem here using Spark in a Java application
using the JavaSparkContext:
We are using java.util.logging.* for logging in our application with 2
Handlers (Console + Filehandler):
{{{
.handlers=java.util.logging.ConsoleHandler, java.util.logging.FileHandler
.level = FINE
java.util.logging.ConsoleHandler.level=INFO
java.util.logging.ConsoleHandler.formatter=java.util.logging.SimpleFormatter
java.util.logging.FileHandler.level= FINE
java.util.logging.FileHandler.formatter=java.util.logging.SimpleFormatter
java.util.logging.FileHandler.limit=10240000
java.util.logging.FileHandler.count=5
java.util.logging.FileHandler.append= true
java.util.logging.FileHandler.pattern=%t/delivery-model.%u.%g.txt
java.util.logging.SimpleFormatter.format=%1$tY-%1$tm-%1$td
%1$tH:%1$tM:%1$tS %5$s%6$s%n
}}}
The thing is, that when the JavaSparcContext is started, the Logging stops.
The log4j.properties for spark looks like this:
{{{
log4j.rootLogger=WARN, theConsoleAppender
log4j.additivity.io.datapath=false
log4j.appender.theConsoleAppender=org.apache.log4j.ConsoleAppender
log4j.appender.theConsoleAppender.layout=org.apache.log4j.PatternLayout
log4j.appender.theConsoleAppender.layout.ConversionPattern=%d{yyyy-MM-dd
HH:mm:ss} %m%n
}}}
Obviously iam not an expert in the Logging-Architecture yet, but i
really need to understand how the Handler of our JUL-Logging are changed
by the spark-library.
Thanks in advance!
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