feat(parquet): batch consecutive null/empty rows in write_list#9752
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HippoBaro wants to merge 1 commit intoapache:mainfrom
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feat(parquet): batch consecutive null/empty rows in write_list#9752HippoBaro wants to merge 1 commit intoapache:mainfrom
write_list#9752HippoBaro wants to merge 1 commit intoapache:mainfrom
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Restructure `write_list()` to accumulate consecutive null and empty rows and flush them in a single `visit_leaves()` call using `extend(repeat_n(...))`, instead of calling `visit_leaves()` per row. With sparse data (99% nulls), a 4096-row batch previously triggered ~4000 individual tree traversals, each pushing a single value per leaf. Now consecutive null/empty runs are collapsed into one traversal that extends all leaf level buffers in bulk. This follows the same pattern already used by `write_struct()`. The `write_non_null_slice` path is unchanged since each non-null row has different offsets and cannot be batched. Signed-off-by: Hippolyte Barraud <hippolyte.barraud@datadoghq.com>
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Which issue does this PR close?
Rationale for this change
See #9731
What changes are included in this PR?
Restructure
write_list()to accumulate consecutive null and empty rows and flush them in a singlevisit_leaves()call usingextend(repeat_n(...)), instead of callingvisit_leaves()per row.With sparse data (99% nulls), a 4096-row batch previously triggered ~4000 individual tree traversals, each pushing a single value per leaf. Now consecutive null/empty runs are collapsed into one traversal that extends all leaf level buffers in bulk.
This follows the same pattern already used by
write_struct(). Thewrite_non_null_slicepath is unchanged since each non-null row has different offsets and cannot be batched.Are these changes tested?
All tests passing; existing tests give 100% coverage.
Are there any user-facing changes?
N/A