[jira] [Created] (SPARK-9499) Possible file handle leak in spilling/sort code

["Reynold Xin (JIRA)" <ji...@apache.org>]

Reynold Xin created SPARK-9499:
----------------------------------

             Summary: Possible file handle leak in spilling/sort code
                 Key: SPARK-9499
                 URL: https://issues.apache.org/jira/browse/SPARK-9499
             Project: Spark
          Issue Type: Bug
          Components: SQL
            Reporter: Reynold Xin
            Priority: Critical


As reported by [~hvanhovell]. See SPARK-8850.


Hi,

I am getting a Too many open files error since the unsafe mode is on. The same thing popped up when playing with unsafe before. The error is below:
{noformat}
15/07/30 23:37:29 WARN TaskSetManager: Lost task 2.0 in stage 33.0 (TID 2423, localhost): java.io.FileNotFoundException: /tmp/blockmgr-b3d3e14a-f313-4075-8082-7d97f012e35a/14/temp_shuffle_1cab42fa-dcb1-4114-ae53-1674446f9dac (Too many open files)
	at java.io.FileOutputStream.open0(Native Method)
	at java.io.FileOutputStream.open(FileOutputStream.java:270)
	at java.io.FileOutputStream.<init>(FileOutputStream.java:213)
	at org.apache.spark.storage.DiskBlockObjectWriter.open(DiskBlockObjectWriter.scala:88)
	at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.insertAll(BypassMergeSortShuffleWriter.java:111)
	at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:73)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:71)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
	at org.apache.spark.scheduler.Task.run(Task.scala:86)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
{noformat}

I am currently working on local mode (which is probably the cause of the problem) using the following command line:
{noformat}
$SPARK_HOME/bin/spark-shell --master local[*] --driver-memory 14G --driver-library-path $HADOOP_NATIVE_LIB
{noformat}

The maximum number of files I can open are 1024 (ulimit -n). I have tried to run the same code with an increased limit, but this didn't work out.

Dump of all open files after a Too Many Files Open error.
The command used to make the dump:

{code}
lsof -c java > open
{code}

The job starts crashing after as soon as I start sorting 10000000 rows for the 9th time (doing benchmarking). I guess files are left open after every benchmark? Is there a way to trigger the closing of files?






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