Try to run to see actual ulimit. We found that mesos overrides the ulimit
which causes the issue.
import sys.process._
val p = 1 to 100
val rdd = sc.parallelize(p, 100)
val a = rdd.map(x=> Seq("sh", "-c", "ulimit -n").!!.toDouble.toLong).collect
Sincerely,
DB Tsai
----------------------------------------------------------
Blog: https://www.dbtsai.com
PGP Key ID: 0xAF08DF8D
<https://pgp.mit.edu/pks/lookup?search=0x59DF55B8AF08DF8D>
On Thu, Oct 8, 2015 at 3:22 PM, Tian Zhang <tzhang...@yahoo.com> wrote:
> I hit this issue with spark 1.3.0 stateful application (with
> updateStateByKey) function on mesos. It will
> fail after running fine for about 24 hours.
> The error stack trace as below, I checked ulimit -n and we have very large
> numbers set on the machines.
> What else can be wrong?
> 15/09/27 18:45:11 WARN scheduler.TaskSetManager: Lost task 2.0 in stage
> 113727.0 (TID 833758, ip-10-112-10-221.ec2.internal):
> java.io.FileNotFoundException:
>
> /media/ephemeral0/oncue/mesos-slave/slaves/20150512-215537-2165010442-5050-1730-S5/frameworks/20150825-175705-2165010442-5050-13705-0338/executors/0/runs/19342849-d076-483c-88da-747896e19b93/./spark-6efa2dcd-aea7-478e-9fa9-6e0973578eb4/blockmgr-33b1e093-6dd6-4462-938c-2597516272a9/27/shuffle_535_2_0.index
> (Too many open files)
> at java.io.FileOutputStream.open(Native Method)
> at java.io.FileOutputStream.<init>(FileOutputStream.java:221)
> at java.io.FileOutputStream.<init>(FileOutputStream.java:171)
> at
>
> org.apache.spark.shuffle.IndexShuffleBlockManager.writeIndexFile(IndexShuffleBlockManager.scala:85)
> at
>
> org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:69)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:64)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
> at
>
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
>
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
>
>
>
>
>
> --
> View this message in context:
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