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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2020/03/17 08:38:00 UTC
[jira] [Updated] (SPARK-30105) Add StreamingQueryListener support
to PySpark
[ https://issues.apache.org/jira/browse/SPARK-30105?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun updated SPARK-30105:
----------------------------------
Affects Version/s: (was: 3.0.0)
3.1.0
> Add StreamingQueryListener support to PySpark
> ---------------------------------------------
>
> Key: SPARK-30105
> URL: https://issues.apache.org/jira/browse/SPARK-30105
> Project: Spark
> Issue Type: New Feature
> Components: PySpark, Structured Streaming
> Affects Versions: 3.1.0
> Reporter: Abhijeet Prasad
> Priority: Minor
>
> Add support for StreamingQueryListener to PySpark.
>
> Currently the `StreamingQueryListener` in Scala is implemented as an abstract class, so we cannot use Python proxies (Py4j) to access it unless we create our own custom Scala/Java wrapper.
>
> [https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryListener.scala]
>
> This would be very useful in my personal case, I am building a library that allows you to send Python errors to Sentry.io [https://docs.sentry.io/platforms/python/pyspark/] and would like to hook onto onQueryTerminated to send errors.
>
> I can take this on if you point me in which direction to go, new to the codebase so not quite sure what the process for porting Scala API -> PySpark API changes usually look like.
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