[
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}
>
--
This message was sent by Atlassian JIRA
(v7.6.14#76016)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
