ARROW-10898: [C++] Improve table sort performance #11262
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Use the same strategy as for chunked array sorting: - first sort each RecordBatch individually, taking advantage of data contiguity for fast indexing - then merge sorted batches recursively, using slower chunked indexing Benchmarks show up to 200% speedups on some benchmark parameters, along with very minor regressions.
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@ursabot please benchmark |
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Benchmark runs are scheduled for baseline = 8dbe574 and contender = f25bf77. Results will be available as each benchmark for each run completes. |
ViniciusSouzaRoque
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Oct 20, 2021
Use the same strategy as for chunked array sorting: - first sort each RecordBatch individually, taking advantage of data contiguity for fast indexing - then merge sorted batches recursively, using slower chunked indexing Benchmarks show up to 200% speedups on some benchmark parameters, along with very minor regressions. Closes apache#11262 from pitrou/ARROW-10898-table-merge-sort Authored-by: Antoine Pitrou <antoine@python.org> Signed-off-by: Antoine Pitrou <antoine@python.org>
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Use the same strategy as for chunked array sorting:
Benchmarks show up to 200% speedups on some benchmark parameters, along with very minor regressions.