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https://issues.apache.org/jira/browse/SPARK-32500?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17173633#comment-17173633
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JinxinTang commented on SPARK-32500:
------------------------------------
I have found the root cause is `org.apache.spark.SparkContext#localProperties`
is thread local, the `
spark.job.description` is seted by stream execution thread, and when we use
python through py4j server to save, the py4j server thread belong to main
thread group, so
`org.apache.spark.sql.execution.ui.SparkListenerSQLExecutionStart$#apply` can
not get `desc` property from spark context.
When we use scala to operate, there is no problem because they are all belong
to stream execution thread.
> Query and Batch Id not set for Structured Streaming Jobs in case of
> ForeachBatch in PySpark
> -------------------------------------------------------------------------------------------
>
> Key: SPARK-32500
> URL: https://issues.apache.org/jira/browse/SPARK-32500
> Project: Spark
> Issue Type: Bug
> Components: PySpark, Structured Streaming
> Affects Versions: 2.4.6
> Reporter: Abhishek Dixit
> Priority: Major
> Attachments: Screen Shot 2020-07-26 at 6.50.39 PM.png, Screen Shot
> 2020-07-30 at 9.04.21 PM.png, image-2020-08-01-10-21-51-246.png
>
>
> Query Id and Batch Id information is not available for jobs started by
> structured streaming query when _foreachBatch_ API is used in PySpark.
> This happens only with foreachBatch in pyspark. ForeachBatch in scala works
> fine, and also other structured streaming sinks in pyspark work fine. I am
> attaching a screenshot of jobs pages.
> I think job group is not set properly when _foreachBatch_ is used via
> pyspark. I have a framework that depends on the _queryId_ and _batchId_
> information available in the job properties and so my framework doesn't work
> for pyspark-foreachBatch use case.
>
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