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https://issues.apache.org/jira/browse/SPARK-32500?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17168423#comment-17168423
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Abhishek Dixit commented on SPARK-32500:
----------------------------------------
[~rohitmishr1484]
I used the following example to reproduce the issue. I used Spark version 2.4.6
{code:java}
def foreach_batch_function(stream_df, epoch_id):
stream_df.write \
.format("json") \
.mode('Append') \
.option("path", "/tmp/testdata/output") \
.save()
from pyspark.sql.functions import *
checkpoint_location = "/tmp/testdata/checkpoint"
query = (
spark.readStream.format("rate").option("rowsPerSecond",100).option("numPartitions",4)
.load()
.writeStream
.foreachBatch(foreach_batch_function)
.option("checkpointLocation", checkpoint_location)
.outputMode("Append")
.start()
)
{code}
Let me know if you need any more information.
> 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 2020-07-30 at 9.04.21 PM.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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