You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "JinxinTang (Jira)" <ji...@apache.org> on 2020/08/01 02:22:00 UTC
[jira] [Updated] (SPARK-32500) Query and Batch Id not set for
Structured Streaming Jobs in case of ForeachBatch in PySpark
[ https://issues.apache.org/jira/browse/SPARK-32500?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
JinxinTang updated SPARK-32500:
-------------------------------
Attachment: image-2020-08-01-10-21-51-246.png
> 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, 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.
>
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org