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Posted to issues@spark.apache.org by "Gabor Somogyi (JIRA)" <ji...@apache.org> on 2018/12/01 16:10:00 UTC
[jira] [Commented] (SPARK-26213) Custom Receiver for Structured
streaming
[ https://issues.apache.org/jira/browse/SPARK-26213?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16705884#comment-16705884 ]
Gabor Somogyi commented on SPARK-26213:
---------------------------------------
Structured streaming doesn't have receiver concept. If you take a look at how DStreams evolved a new direct approach has been introduced.
On the other hand you can create a custom source by implementing [this trait|https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/Source.scala]. There are several examples.
> Custom Receiver for Structured streaming
> ----------------------------------------
>
> Key: SPARK-26213
> URL: https://issues.apache.org/jira/browse/SPARK-26213
> Project: Spark
> Issue Type: New Feature
> Components: Structured Streaming
> Affects Versions: 2.4.0
> Reporter: Aarthi
> Priority: Major
>
> Hi,
> I have implemented a Custom Receiver for a https/json data source by implementing the Receievr abstract class as provided in the documentation here [https://spark.apache.org/docs/latest//streaming-custom-receivers.html]
> This approach works on Spark streaming context where the custom receiver class is passed it receiverStream. However I would like the implement the same for Structured streaming as each of the DStreams have a complex structure and need to be joined with each other based on complex rules. ([https://stackoverflow.com/questions/53449599/join-two-spark-dstreams-with-complex-nested-structure])
> Structured streaming uses the Spark Session object that takes in DataStreamReader which is a final class. Please advice on how to implement the custom receiver for Strucutred Streaming.
> Thanks,
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