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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2022/12/19 11:41:06 UTC

[GitHub] [spark] beliefer commented on pull request #39091: [SPARK-41527][CONNECT][PYTHON] Implement `DataFrame.observe`

beliefer commented on PR #39091:
URL: https://github.com/apache/spark/pull/39091#issuecomment-1357520476

   > I think it would be possible to add another result batch type for observed metrics and simply pass them at the end.
   
   I have an idea:
   1. cache the `Observation` at server.
   2. create a new relation `GetObservation` for get `Observation` from cache with timeout. If we can get the metrics successfully, wrap the metrics with a local relation and return it to client.


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