This looks like you are just running your own program. To run Spark programs, you use spark-submit. It has options that control the executor and driver memory. The settings below are not affecting Spark.
On Wed, Oct 1, 2014 at 10:21 PM, 陈韵竹 <anny9...@gmail.com> wrote: > Thanks Sean. This is how I set this memory. I set it when I start to run the > job > > java -Xms64g -Xmx64g -cp > /root/spark/lib/spark-assembly-1.0.0-hadoop1.0.4.jar:/root/scala/lib/scala-library.jar:./target/MyProject.jar > MyClass > > Is there some problem with it? > > > > On Wed, Oct 1, 2014 at 2:03 PM, Sean Owen <so...@cloudera.com> wrote: >> >> How are you setting this memory? You may be configuring the wrong >> process's memory, like the driver and not the executors. >> >> On Oct 1, 2014 9:37 PM, "anny9699" <anny9...@gmail.com> wrote: >>> >>> Hi, >>> >>> After reading some previous posts about this issue, I have increased the >>> java heap space to "-Xms64g -Xmx64g", but still met the >>> "java.lang.OutOfMemoryError: GC overhead limit exceeded" error. Does >>> anyone >>> have other suggestions? >>> >>> I am reading a data of 200 GB and my total memory is 120 GB, so I use >>> "MEMORY_AND_DISK_SER" and kryo serialization. >>> >>> Thanks a lot! >>> >>> >>> >>> -- >>> View this message in context: >>> http://apache-spark-user-list.1001560.n3.nabble.com/still-GC-overhead-limit-exceeded-after-increasing-heap-space-tp15540.html >>> Sent from the Apache Spark User List mailing list archive at Nabble.com. >>> >>> --------------------------------------------------------------------- >>> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >>> For additional commands, e-mail: user-h...@spark.apache.org >>> > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
