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https://issues.apache.org/jira/browse/ARROW-10026?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17197739#comment-17197739
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Wes McKinney commented on ARROW-10026:
--------------------------------------
IMHO we should consider a slimmed down data structure for {{ExecBatch}} that
does not use {{arrow::util::variant}}, considering that we only ever will have
either {{ArrayData}} or {{Scalar}} as value types. The overhead of slicing
{{ArrayData}} objects is also non-trivial
> [C++] Improve kernel performance on small batches
> -------------------------------------------------
>
> Key: ARROW-10026
> URL: https://issues.apache.org/jira/browse/ARROW-10026
> Project: Apache Arrow
> Issue Type: Task
> Components: C++
> Reporter: Antoine Pitrou
> Priority: Major
>
> It seems that invoking some kernels on smallish batches has quite an overhead:
> {code}
> ArrayArrayKernel<Add, Int32Type>/32768/100 2860 ns
> 2859 ns 245195 bytes_per_second=10.6727G/s
> items_per_second=2.86494G/s null_percent=1 size=32.768k
> ArrayArrayKernel<Add, Int32Type>/32768/0 2752 ns
> 2751 ns 249316 bytes_per_second=11.093G/s items_per_second=2.97775G/s
> null_percent=0 size=32.768k
> ArrayArrayKernel<Add, Int32Type>/524288/100 18633 ns
> 18630 ns 36548 bytes_per_second=26.2097G/s
> items_per_second=7.03561G/s null_percent=1 size=524.288k
> ArrayArrayKernel<Add, Int32Type>/524288/0 18260 ns
> 18257 ns 38245 bytes_per_second=26.7451G/s
> items_per_second=7.17933G/s null_percent=0 size=524.288k
> {code}
> We should investigate and try to lighten the overhead.
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