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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2019/07/23 20:40:00 UTC
[jira] [Updated] (SPARK-28485) PythonBroadcast may delete the
broadcast file while a Python worker still needs it
[ https://issues.apache.org/jira/browse/SPARK-28485?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiao Li updated SPARK-28485:
----------------------------
Description:
How to reproduce:
Run "bin/pyspark --master local[1,1] --conf spark.memory.fraction=0.0001" to start PySpark and 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}
was:
How to reproduce:
Run "bin/pyspark --master local[1,1] --conf spark.memory.fraction=0.0001" to start PySpark and 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}
> PythonBroadcast may delete the broadcast file while a Python worker still needs it
> ----------------------------------------------------------------------------------
>
> Key: SPARK-28485
> URL: https://issues.apache.org/jira/browse/SPARK-28485
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.0.0
> Reporter: Xiao Li
> Assignee: wuyi
> Priority: Major
>
> How to reproduce:
> Run "bin/pyspark --master local[1,1] --conf spark.memory.fraction=0.0001" to start PySpark and 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}
>
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