suryaprasanna commented on issue #18298: URL: https://github.com/apache/hudi/issues/18298#issuecomment-4151078093
> All in all - I think this is not a Hudi problem. You probably want to track something across all Spark jobs. and we can do this cleanly with some listeners? I believe that is the standard approach across OpenLineage, DataHub etc. That's true, we will not be adding any Open Lineage library dependencies. We will extend the HoodieLeafRunnableCommand to implement Spark's writer interfaces. Once, Hudi does that it will be easier to integrate to OpenLineage seamlessly. Regarding the Deltastreamer yes we need to make it more DataFrame code. > But I also wonder this should be a standard ask from Spark lineage tracking tools. e.g. https://docs.datahub.com/docs/metadata-integration/java/acryl-spark-lineage uses Spark listeners to do this generically at the Spark layer. Thanks for sharing this, will study this more and get back. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
