[SPARK-28486] PythonBroadcast may delete the broadcast file while a Python worker still needs it

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 2.4.3
• Fix Version/s: 3.0.0
• Component/s: PySpark
• Assignee: wuyi
• Reporter: Shixiong Zhu
• Created: 23/Jul/19 20:56
• Updated: 12/Dec/22 18:10
• Resolved: 05/Aug/19 11:19

Description

Steps to reproduce:

• Run "bin/pyspark --master local[1,1] --conf spark.memory.fraction=0.0001" to start PySpark
• Run the following codes:

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()

• Error:

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

Issue Links

• links to: GitHub Pull Request #25262