Re: OutOfMemoryError with ramdom forest and small training dataset

2015-02-12 Thread didmar
Ok, I would suggest adding SPARK_DRIVER_MEMORY in spark-env.sh, with a larger amount of memory than the default 512m -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/OutOfMemoryError-with-ramdom-forest-and-small-training-dataset-tp21598p21618.html Sent from

Re: OutOfMemoryError with ramdom forest and small training dataset

2015-02-12 Thread Sean Owen
://apache-spark-user-list.1001560.n3.nabble.com/OutOfMemoryError-with-ramdom-forest-and-small-training-dataset-tp21598p21620.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user

Re: OutOfMemoryError with ramdom forest and small training dataset

2015-02-12 Thread poiuytrez
) but the memory is not correctly allocated as we can see on the webui executor page). I am going to file an issue in the bug tracker. Thank you for your help. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/OutOfMemoryError-with-ramdom-forest-and-small

Re: OutOfMemoryError with ramdom forest and small training dataset

2015-02-11 Thread poiuytrez
true spark.eventLog.dir gs://-spark/spark-eventlog-base/spark-m spark.executor.memory 83971m spark.yarn.executor.memoryOverhead 83971m I am using spark-submit. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/OutOfMemoryError-with-ramdom-forest

Re: OutOfMemoryError with ramdom forest and small training dataset

2015-02-11 Thread poiuytrez
spark.eventLog.dir gs://databerries-spark/spark-eventlog-base/spark-m spark.executor.memory 83971m spark.yarn.executor.memoryOverhead 83971m I am using spark-submit. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/OutOfMemoryError-with-ramdom-forest-and-small

OutOfMemoryError with ramdom forest and small training dataset

2015-02-11 Thread poiuytrez
ActorSystem [sparkDriver] java.lang.OutOfMemoryError: Java heap space That's very weird. Any idea of what's wrong with my configuration? PS : I am running Spark 1.2 -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/OutOfMemoryError-with-ramdom-forest-and-small