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Posted to github@arrow.apache.org by GitBox <gi...@apache.org> on 2022/01/14 10:35:39 UTC

[GitHub] [arrow-datafusion] Igosuki commented on issue #1544: Streaming support for DataFusion

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`


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