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https://issues.apache.org/jira/browse/FLINK-9565?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16524798#comment-16524798
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Timo Walther commented on FLINK-9565:
-------------------------------------
We don't need a new eval function for it. I would prefer option #3:
{code}
public class MyScalarFunc extends ScalarFunction {
@Override
public boolean isParallelizable() {
return true;
}
public Double eval(Double d) {
// expensive logic
}
}
{code}
This would integrate nicely with the existing design. Because
{{ScalarFunction}} also has a {{isDeterministic}} method that can be
overwritten.
> Evaluating scalar UDFs in parallel
> ----------------------------------
>
> Key: FLINK-9565
> URL: https://issues.apache.org/jira/browse/FLINK-9565
> Project: Flink
> Issue Type: New Feature
> Components: Table API & SQL
> Affects Versions: 1.4.2
> Reporter: yinhua.dai
> Priority: Major
>
> As per
> [https://stackoverflow.com/questions/50790023/does-flink-sql-support-to-run-projections-in-parallel,]
> scalar UDF in the same SQL is always evaluated sequentially even when those
> UDF are irrelevant, it may increase latency when the UDF is time consuming
> function.
> It would be great if Flink SQL can support to run those UDF in parallel to
> reduce calculation latency.
>
> cc [~fhueske]
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