Add benchmarks for Parquet struct leaf-level projection pruning#21180
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adriangb merged 2 commits intoapache:mainfrom Mar 26, 2026
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Add benchmarks for Parquet struct leaf-level projection pruning#21180adriangb merged 2 commits intoapache:mainfrom
adriangb merged 2 commits intoapache:mainfrom
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This PR reduces the data volume in the parquet struct projection benchmark so it runs faster. It amends the recently introduced benchmarks in #21180. --------- Co-authored-by: Adrian Garcia Badaracco <1755071+adriangb@users.noreply.github.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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## Rationale for this change This PR adds a benchmark comparing top-level column access against struct field access for the same logical data #20925 introduced leaf level projection masking so that projecting a single struct field skips decoding its siblings. #21180 added benchmarks measuring that improvement across different strcut shapes. But neither benchmark answers how struct field access compare to reading the same column at the top level. Without that baseline, it's hard to know how much overhead the struct access path itself adds
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Rationale for this change
This PR adds benchmarks that measure the perf of projecting individual fields from struct columns in Parquet files. #20925 introduced leaf-level projection masking so that
select s['small_int']on a struct with large string fields only reads the small integer leaf, skipping the expensive string decoding entirely3 dataset shapes are coevered, each with ~262K rows of 8kb string payloads: a narrow struct (2 leaves), a wide struct (5 leaves), and a nested struct. Each shape benchmarks full-struct reads against single-field projections