Igosuki commented on issue #1544: URL: https://github.com/apache/arrow-datafusion/issues/1544#issuecomment-1013001849
I've used kafka-streams, flink and beam professionally, the point of streaming is to execute windowed functions, join aggregated data with in-memory tables and distribute these computations (DAGs) according to partition keys, so that the right value gets sent to the right thread. In terms of priority, it looks to me like this would not be a reasonable thing to do before having methods like `DataFrame::map_partition` and traits like `SortMergeJoin` -- 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]
