Shixiong Zhu created SPARK-28486:
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Summary: 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: New Feature
Components: PySpark
Affects Versions: 2.4.3
Reporter: Shixiong Zhu
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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