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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2019/07/23 21:03:00 UTC
[jira] [Commented] (SPARK-28486) PythonBroadcast may delete the
broadcast file while a Python worker still needs it
[ https://issues.apache.org/jira/browse/SPARK-28486?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16891377#comment-16891377 ]
Xiao Li commented on SPARK-28486:
---------------------------------
[~Ngone51] Please submit a PR to address this issue. Thanks!
> PythonBroadcast may delete the broadcast file while a Python worker still needs it
> ----------------------------------------------------------------------------------
>
> Key: SPARK-28486
> URL: https://issues.apache.org/jira/browse/SPARK-28486
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.4.3
> Reporter: Shixiong Zhu
> Assignee: wuyi
> Priority: Major
>
> Steps to reproduce:
> * Run "bin/pyspark --master local[1,1] --conf spark.memory.fraction=0.0001" to start PySpark
> * Run the following codes:
> {code:java}
> b = sc.broadcast([100])
> sc.parallelize([0],1).map(lambda x: 0 if x == 0 else b.value[0]).collect()
> sc._jvm.java.lang.System.gc()
> import time
> time.sleep(5)
> sc._jvm.java.lang.System.gc()
> time.sleep(5)
> sc.parallelize([1],1).map(lambda x: 0 if x == 0 else b.value[0]).collect()
> {code}
> * Error:
> {code}
> IOError: [Errno 2] No such file or directory: u'.../spark-ee2a0da1-7d2e-48fd-be9a-fdcc89c5076c/broadcast4970491472715621982'
> at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:452)
> at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:588)
> at org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRunner.scala:571)
> at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:406)
> at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
> at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
> at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
> at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
> at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
> at org.apache.spark.InterruptibleIterator.to(InterruptibleIterator.scala:28)
> at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
> at org.apache.spark.InterruptibleIterator.toBuffer(InterruptibleIterator.scala:28)
> at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
> at org.apache.spark.InterruptibleIterator.toArray(InterruptibleIterator.scala:28)
> at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$13.apply(RDD.scala:945)
> at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$13.apply(RDD.scala:945)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
> at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:121)
> at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> ... 1 more
> {code}
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