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https://issues.apache.org/jira/browse/SPARK-48717?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hyukjin Kwon resolved SPARK-48717.
----------------------------------
    Fix Version/s: 4.0.0
       Resolution: Fixed

Issue resolved by pull request 47093
[https://github.com/apache/spark/pull/47093]

> Python foreachBatch streaming query cannot be stopped gracefully after pin 
> thread mode is enabled and is running spark queries 
> -------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-48717
>                 URL: https://issues.apache.org/jira/browse/SPARK-48717
>             Project: Spark
>          Issue Type: New Feature
>          Components: PySpark, SS
>    Affects Versions: 4.0.0
>            Reporter: Wei Liu
>            Assignee: Wei Liu
>            Priority: Major
>             Fix For: 4.0.0
>
>
> Followup of https://issues.apache.org/jira/browse/SPARK-39218
>  
> It only considered the InterruptedException is thrown when time.sleep(10) is 
> intercepted. But when a spark query is executing:
> {code:java}
> def func(batch_df, batch_id):
>     batch_df.sparkSession.range(10000000).write.saveAsTable("oops")
>     print(batch_df.count()) {code}
> the actual error would be:
>  
> {code:java}
> py4j.protocol.Py4JJavaError: An error occurred while calling 
> o2141502.saveAsTable.  
> : org.apache.spark.SparkException: Job aborted.  
> <REDACTED>
> <REDACTED>
> <REDACTED>
> ...
> at 
> org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.$anonfun$run$2(StreamExecution.scala:262)
>   
> at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)  
> at 
> org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:262)
>   
> *Caused by: java.lang.InterruptedException  
> at 
> java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedInterruptibly(AbstractQueuedSynchronizer.java:1000)*
>   
> at 
> java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireSharedInterruptibly(AbstractQueuedSynchronizer.java:1308)
>    {code}
> We should also add consideration to this scenario 



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