bq. In /etc/secucity/limits.conf set the next values: Have you done the above modification on all the machines in your Spark cluster ?
If you use Ubuntu, be sure that the /etc/pam.d/common-session file contains the following line: session required pam_limits.so On Mon, Mar 30, 2015 at 5:08 AM, Masf <masfwo...@gmail.com> wrote: > Hi. > > I've done relogin, in fact, I put 'uname -n' and returns 1000000, but it > crashs. > I'm doing reduceByKey and SparkSQL mixed over 17 files (250MB-500MB/file) > > > Regards. > Miguel Angel. > > On Mon, Mar 30, 2015 at 1:52 PM, Akhil Das <ak...@sigmoidanalytics.com> > wrote: > >> Mostly, you will have to restart the machines to get the ulimit effect >> (or relogin). What operation are you doing? Are you doing too many >> repartitions? >> >> Thanks >> Best Regards >> >> On Mon, Mar 30, 2015 at 4:52 PM, Masf <masfwo...@gmail.com> wrote: >> >>> Hi >>> >>> I have a problem with temp data in Spark. I have fixed >>> spark.shuffle.manager to "SORT". In /etc/secucity/limits.conf set the next >>> values: >>> * soft nofile 1000000 >>> * hard nofile 1000000 >>> In spark-env.sh set ulimit -n 1000000 >>> I've restarted the spark service and it continues crashing (Too many >>> open files) >>> >>> How can I resolve? I'm executing Spark 1.2.0 in Cloudera 5.3.2 >>> >>> java.io.FileNotFoundException: >>> /tmp/spark-local-20150330115312-37a7/2f/temp_shuffle_c4ba5bce-c516-4a2a-9e40-56121eb84a8c >>> (Too many open files) >>> at java.io.FileOutputStream.open(Native Method) >>> at java.io.FileOutputStream.<init>(FileOutputStream.java:221) >>> at >>> org.apache.spark.storage.DiskBlockObjectWriter.open(BlockObjectWriter.scala:123) >>> at >>> org.apache.spark.util.collection.ExternalSorter$$anonfun$spillToPartitionFiles$1.apply(ExternalSorter.scala:360) >>> at >>> org.apache.spark.util.collection.ExternalSorter$$anonfun$spillToPartitionFiles$1.apply(ExternalSorter.scala:355) >>> at scala.Array$.fill(Array.scala:267) >>> at >>> org.apache.spark.util.collection.ExternalSorter.spillToPartitionFiles(ExternalSorter.scala:355) >>> at >>> org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:211) >>> at >>> org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:65) >>> 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:56) >>> at >>> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196) >>> at >>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >>> at >>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >>> at java.lang.Thread.run(Thread.java:745) >>> 15/03/30 11:54:18 WARN TaskSetManager: Lost task 22.0 in stage 3.0 (TID >>> 27, localhost): java.io.FileNotFoundException: >>> /tmp/spark-local-20150330115312-37a7/2f/temp_shuffle_c4ba5bce-c516-4a2a-9e40-56121eb84a8c >>> (Too many open files) >>> at java.io.FileOutputStream.open(Native Method) >>> at java.io.FileOutputStream.<init>(FileOutputStream.java:221) >>> at >>> org.apache.spark.storage.DiskBlockObjectWriter.open(BlockObjectWriter.scala:123) >>> at >>> org.apache.spark.util.collection.ExternalSorter$$anonfun$spillToPartitionFiles$1.apply(ExternalSorter.scala:360) >>> at >>> org.apache.spark.util.collection.ExternalSorter$$anonfun$spillToPartitionFiles$1.apply(ExternalSorter.scala:355) >>> at scala.Array$.fill(Array.scala:267) >>> at >>> org.apache.spark.util.collection.ExternalSorter.spillToPartitionFiles(ExternalSorter.scala:355) >>> at >>> org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:211) >>> at >>> org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:65) >>> 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:56) >>> at >>> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196) >>> at >>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >>> at >>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >>> at java.lang.Thread.run(Thread.java:745) >>> >>> >>> >>> Thanks!!!!! >>> -- >>> >>> >>> Regards. >>> Miguel Ángel >>> >> >> > > > -- > > > Saludos. > Miguel Ángel >
