Hi Akhil,
Thanks a lot! After set export _JAVA_OPTIONS="-Xmx5g", the OutOfMemory exception disappeared. But this make me confused, so the driver-memory options doesn’t work for spark-submit to YARN (I haven’t check other clusters), is it a bug? Regards, Shuai From: Akhil Das [mailto:ak...@sigmoidanalytics.com] Sent: Wednesday, April 01, 2015 2:40 AM To: Shuai Zheng Cc: user@spark.apache.org Subject: Re: --driver-memory parameter doesn't work for spark-submmit on yarn? Once you submit the job do a ps aux | grep spark-submit and see how much is the heap space allocated to the process (the -Xmx params), if you are seeing a lower value you could try increasing it yourself with: export _JAVA_OPTIONS="-Xmx5g" Thanks Best Regards On Wed, Apr 1, 2015 at 1:57 AM, Shuai Zheng <szheng.c...@gmail.com> wrote: Hi All, Below is the my shell script: /home/hadoop/spark/bin/spark-submit --driver-memory=5G --executor-memory=40G --master yarn-client --class com.***.FinancialEngineExecutor /home/hadoop/lib/my.jar s3://bucket/vriscBatchConf.properties My driver will load some resources and then broadcast to all executors. That resources is only 600MB in ser format, but I always has out of memory exception, it looks like the driver doesn’t allocate right memory to my driver. Exception in thread "main" java.lang.OutOfMemoryError: Java heap space at java.lang.reflect.Array.newArray(Native Method) at java.lang.reflect.Array.newInstance(Array.java:70) at java.io.ObjectInputStream.readArray(ObjectInputStream.java:1670) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1344) at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990) at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370) at com.***.executor.support.S3FileUtils.loadCache(S3FileUtils.java:68) Do I do anything wrong here? And no matter how much I set for --driver-memory value (from 512M to 20G), it always give me error on the same line (that line try to load a 600MB java serialization file). So looks like the script doesn’t allocate right memory to driver in my case? Regards, Shuai