feat(parquet): add wide-schema writer overhead benchmark#9723
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alamb merged 1 commit intoapache:mainfrom Apr 15, 2026
Merged
feat(parquet): add wide-schema writer overhead benchmark#9723alamb merged 1 commit intoapache:mainfrom
alamb merged 1 commit intoapache:mainfrom
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Existing writer benchmarks use narrow schemas (5–10 columns) and primarily measure data encoding throughput. They don't capture per-column structural overhead that dominates at high column cardinality (thousands to hundreds of thousands of columns), such as allocation, and metadata assembly. This commit adds benchmarks to fill that gap by writing a single-row batch through `ArrowWriter` with 1k/5k/10k flat `Float32` columns and per-column `WriterProperties` entries, isolating the cost of the writer infrastructure itself. Baseline results (Apple M1 Max): writer_overhead/1000_cols/per_column_props 3.72 ms writer_overhead/5000_cols/per_column_props 54.96 ms writer_overhead/10000_cols/per_column_props 220.73 ms Signed-off-by: Hippolyte Barraud <hippolyte.barraud@datadoghq.com>
etseidl
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Looks good. The metadata bench will do wide tables (10k columns), but only measures decoding the footer. Nice to have something similar on the write side.
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Thank you @HippoBaro and @etseidl for the review |
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Which issue does this PR close?
Rationale for this change
Existing writer benchmarks use narrow schemas (5–10 columns) and primarily measure data encoding throughput. They don't capture per-column structural overhead that dominates at high column cardinality (thousands to hundreds of thousands of columns), such as allocation, and metadata assembly.
What changes are included in this PR?
This commit adds benchmarks to fill that gap by writing a single-row batch through
ArrowWriterwith 1k/5k/10k flatFloat32columns and per-columnWriterPropertiesentries, isolating the cost of the writer infrastructure itself.Baseline results (Apple M1 Max):
Are these changes tested?
N/A
Are there any user-facing changes?
N/A