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 >
