ebf01ec3c1
### What changes were proposed in this pull request? https://github.com/apache/spark/pull/32015 added a way to run benchmarks much more easily in the same GitHub Actions build. This PR updates the benchmark results by using the way. **NOTE** that looks like GitHub Actions use four types of CPU given my observations: - Intel(R) Xeon(R) Platinum 8171M CPU 2.60GHz - Intel(R) Xeon(R) CPU E5-2673 v4 2.30GHz - Intel(R) Xeon(R) CPU E5-2673 v3 2.40GHz - Intel(R) Xeon(R) Platinum 8272CL CPU 2.60GHz Given my quick research, seems like they perform roughly similarly:  I couldn't find enough information about Intel(R) Xeon(R) Platinum 8272CL CPU 2.60GHz but the performance seems roughly similar given the numbers. So shouldn't be a big deal especially given that this way is much easier, encourages contributors to run more and guarantee the same number of cores and same memory with the same softwares. ### Why are the changes needed? To have a base line of the benchmarks accordingly. ### Does this PR introduce _any_ user-facing change? No, dev-only. ### How was this patch tested? It was generated from: - [Run benchmarks: * (JDK 11)](https://github.com/HyukjinKwon/spark/actions/runs/713575465) - [Run benchmarks: * (JDK 8)](https://github.com/HyukjinKwon/spark/actions/runs/713154337) Closes #32044 from HyukjinKwon/SPARK-34950. Authored-by: HyukjinKwon <gurwls223@apache.org> Signed-off-by: Max Gekk <max.gekk@gmail.com>
54 lines
4.4 KiB
Plaintext
54 lines
4.4 KiB
Plaintext
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Nested Schema Pruning Benchmark For Parquet
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================================================================================================
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OpenJDK 64-Bit Server VM 11.0.10+9-LTS on Linux 5.4.0-1043-azure
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Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
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Selection: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
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Top-level column 72 103 23 13.9 71.8 1.0X
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Nested column 351 372 22 2.8 351.2 0.2X
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Nested column in array 1563 1664 57 0.6 1563.3 0.0X
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OpenJDK 64-Bit Server VM 11.0.10+9-LTS on Linux 5.4.0-1043-azure
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Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
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Limiting: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
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Top-level column 380 453 68 2.6 379.8 1.0X
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Nested column 729 818 70 1.4 728.8 0.5X
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Nested column in array 2161 2404 173 0.5 2160.9 0.2X
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OpenJDK 64-Bit Server VM 11.0.10+9-LTS on Linux 5.4.0-1043-azure
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Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
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Repartitioning: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
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Top-level column 315 358 50 3.2 315.2 1.0X
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Nested column 617 678 40 1.6 616.9 0.5X
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Nested column in array 2032 2149 112 0.5 2031.8 0.2X
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OpenJDK 64-Bit Server VM 11.0.10+9-LTS on Linux 5.4.0-1043-azure
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Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
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Repartitioning by exprs: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
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Top-level column 306 348 39 3.3 305.6 1.0X
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Nested column 713 762 40 1.4 713.1 0.4X
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Nested column in array 2364 2452 58 0.4 2364.3 0.1X
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OpenJDK 64-Bit Server VM 11.0.10+9-LTS on Linux 5.4.0-1043-azure
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Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
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Sample: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
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Top-level column 106 143 45 9.4 106.2 1.0X
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Nested column 427 460 42 2.3 427.3 0.2X
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Nested column in array 1739 1864 91 0.6 1738.8 0.1X
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OpenJDK 64-Bit Server VM 11.0.10+9-LTS on Linux 5.4.0-1043-azure
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Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
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Sorting: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
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Top-level column 520 581 39 1.9 519.6 1.0X
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Nested column 983 1063 71 1.0 983.3 0.5X
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Nested column in array 2538 2687 146 0.4 2538.0 0.2X
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