[jira] [Updated] (SPARK-36984) Misleading Spark Streaming source documentation

["Lukáš (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-36984?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Lukáš updated SPARK-36984:
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    Attachment: docs_highlight.png

> Misleading Spark Streaming source documentation
> -----------------------------------------------
>
>                 Key: SPARK-36984
>                 URL: https://issues.apache.org/jira/browse/SPARK-36984
>             Project: Spark
>          Issue Type: Documentation
>          Components: Documentation, PySpark, Structured Streaming
>    Affects Versions: 3.0.1, 3.0.2, 3.0.3, 3.1.0, 3.1.1, 3.1.2
>            Reporter: Lukáš
>            Priority: Trivial
>         Attachments: docs_highlight.png
>
>
> The documentation at [https://spark.apache.org/docs/latest/streaming-programming-guide.html#advanced-sources] clearly states that *Kafka* (and Kinesis) are available in the Python API v 3.1.2 in *Spark Streaming (DStreams)*. 
> However, there is no way to create DStream from Kafka in PySpark >= 3.0.0, as the `kafka.py` file is missing in [https://github.com/apache/spark/tree/master/python/pyspark/streaming]. I'm coming from PySpark 2.4.4 where this was possible. _Should Kafka be excluded as advanced source for spark streaming in Python API in the docs?_
>  
> Note that I'm aware of this Kafka integration guide [https://spark.apache.org/docs/latest/structured-streaming-kafka-integration.html] but I'm not interested in Structured Streaming as it doesn't support arbitrary stateful operations in Python. DStreams support this functionality with `updateStateByKey`.
> !image-2021-10-12-10-04-03-232.png!



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