Alexis Sarda-Espinosa created FLINK-21763:
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Summary: Extend Data Stream's batch mode to handle
partitioning/grouping/ordering
Key: FLINK-21763
URL: https://issues.apache.org/jira/browse/FLINK-21763
Project: Flink
Issue Type: Improvement
Components: API / DataStream
Reporter: Alexis Sarda-Espinosa
In the DataSet API, an undocumented (?) feature is using
[SplitDataProperties|[https://ci.apache.org/projects/flink/flink-docs-release-1.12/api/java/org/apache/flink/api/java/io/SplitDataProperties.html]]
to specify different grouping/partitioning/sorting properties, so if the data
is pre-sorted (e.g. when reading from a database), some operations can be
optimized. Based on this, I assume the Flink scheduler already knows about such
optimizations.
The new batch mode for the Data Stream API doesn't have a way to specify this.
I imagine something like this would be useful even for transformation
operators, not only for sources, e.g. a flat map that gets an input "batch" and
outputs new data with a different kind of grouping/sorting.
I suppose these diractives would have to be ignored for the normal stream mode.
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