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From Ted Yu <yuzhih...@gmail.com>
Subject Re: Too many open files
Date Mon, 30 Mar 2015 14:08:48 GMT
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 <masfworld@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 <akhil@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 <masfworld@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
>

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