You can enable YARN log aggregation (yarn.log-aggregation-enable to
true) and execute command
yarn logs -applicationId <your_application_id>
after your application finishes.
Or you can look at them directly in HDFS in
/tmp/logs/<user>/logs/<applicationid>/<hostname>
On 6.2.2015. 19:50, nitinkak001 wrote:
I am trying to debug my mapPartitionsFunction. Here is the code. There are
two ways I am trying to log using log.info() or println(). I am running in
yarn-cluster mode. While I can see the logs from driver code, I am not able
to see logs from map, mapPartition functions in the Application Tracking
URL. Where can I find the logs?
/var outputRDD = partitionedRDD.mapPartitions(p => {
val outputList = new ArrayList[scala.Tuple3[Long, Long, Int]]
p.map({ case(key, value) => {
log.info("Inside map")
println("Inside map");
for(i <- 0 until outputTuples.size()){
val outputRecord = outputTuples.get(i)
if(outputRecord != null){
outputList.add(outputRecord.getCurrRecordProfileID(),
outputRecord.getWindowRecordProfileID, outputRecord.getScore())
}
}
}
})
outputList.iterator()
})/
Here is my log4j.properties
/log4j.rootCategory=INFO, console
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p
%c{1}: %m%n
# Settings to quiet third party logs that are too verbose
log4j.logger.org.eclipse.jetty=WARN
log4j.logger.org.eclipse.jetty.util.component.AbstractLifeCycle=ERROR
log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=INFO
log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=INFO/
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