Parallelize infer_schema#19969
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run benchmarks |
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🤖: Benchmark completed Details
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The benchmark doesn't reflect the improvement, as it runs 5 times and reports the lowest time (it is cached after first run). |
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…or_scan` Wraps the metadata fetch + statistics/ordering extraction inside `ParquetFormat::infer_stats_and_ordering` in `SpawnedTask::spawn_blocking` with `handle.block_on` so each call runs on a separate worker thread. `list_files_for_scan` already drives this via `.buffer_unordered(meta_fetch_concurrency)`, so concurrent per-file work now actually runs in parallel across threads instead of serializing the CPU-heavy parquet metadata decode/merge onto a single async task. Follows the same pattern as apache#19969 (parallelizing `infer_schema`). Part of apache#19971. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
# Conflicts: # datafusion/datasource-parquet/src/file_format.rs
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Which issue does this PR close?
infer_schema#19970Rationale for this change
Speedup first query / cold start performance by doing more in parallel.
Before (all in a single thread):
After:
(This part runs on multiple threads)
Note, I didn't run this while having a quiet environment. Performance wise it seems to gain 10-20ms per query.
What changes are included in this PR?
Are these changes tested?
Are there any user-facing changes?