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There is a correctness issue: the fast path reuses the first concrete input’s list null bitmap as the output null bitmap at arrays_zip.rs. The slow path marks an output row null only when all concrete input lists are null. The fast path currently marks it according to the first input. That changes semantics when inputs are perfectly aligned but have different list-level nulls. select arrays_zip(a,b) as zipped
from (values
(null::int[], []::int[]),
([]::int[], null::int[]),
(null::int[], null::int[])
) as t(a,b);upstream/main returns: This PR returns: I would suggest adding this to the arrays_zip.slt file Attached is a benchmark update to test the performance of this change. |
Contributor
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#22285 is merged so I think we can close this. Thanks for contribution @BipashaBi |
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Which issue does this PR close?
arrays_zipto avoid row-by-row copying in the perfect-zip case #22225.Rationale for this change
arrays_zipcurrently reconstructs output arrays row-by-row usingMutableArrayDataeven when all input arrays are perfectly aligned and require no null padding.In the perfectly aligned case, the output can reuse the existing child arrays and offsets directly, avoiding unnecessary copying and allocations.
What changes are included in this PR?
is_perfect_zip()validation helpertry_fast_path()zero-copy execution pathAre these changes tested?
cargo checkcargo test --package datafusion-functions-nestedAre there any user-facing changes?
No user-facing changes. This is an internal performance optimization for
arrays_zip.