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>
41 lines
4.2 KiB
Plaintext
41 lines
4.2 KiB
Plaintext
OpenJDK 64-Bit Server VM 1.8.0_282-b08 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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cast strings to intervals: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
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------------------------------------------------------------------------------------------------------------------------
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prepare string w/ interval 638 642 4 1.6 637.6 1.0X
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prepare string w/o interval 637 640 5 1.6 636.6 1.0X
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1 units w/ interval 652 673 18 1.5 652.4 1.0X
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1 units w/o interval 610 624 12 1.6 610.4 1.0X
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2 units w/ interval 795 800 7 1.3 794.9 0.8X
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2 units w/o interval 773 812 35 1.3 773.3 0.8X
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3 units w/ interval 1713 1756 38 0.6 1713.3 0.4X
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3 units w/o interval 1714 1747 37 0.6 1714.3 0.4X
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4 units w/ interval 1945 1980 50 0.5 1944.9 0.3X
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4 units w/o interval 1923 1986 55 0.5 1922.8 0.3X
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5 units w/ interval 2138 2184 42 0.5 2138.4 0.3X
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5 units w/o interval 2149 2174 35 0.5 2148.5 0.3X
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6 units w/ interval 2383 2418 33 0.4 2383.0 0.3X
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6 units w/o interval 2413 2432 23 0.4 2412.9 0.3X
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7 units w/ interval 2976 3005 25 0.3 2976.1 0.2X
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7 units w/o interval 2955 2995 56 0.3 2954.9 0.2X
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8 units w/ interval 3256 3303 42 0.3 3256.1 0.2X
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8 units w/o interval 3264 3320 49 0.3 3263.9 0.2X
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9 units w/ interval 3587 3616 27 0.3 3587.0 0.2X
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9 units w/o interval 3613 3681 82 0.3 3613.5 0.2X
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10 units w/ interval 3972 3994 19 0.3 3972.4 0.2X
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10 units w/o interval 3934 3984 48 0.3 3933.7 0.2X
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11 units w/ interval 4226 4233 6 0.2 4226.1 0.2X
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11 units w/o interval 4172 4222 64 0.2 4171.9 0.2X
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OpenJDK 64-Bit Server VM 1.8.0_282-b08 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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make_interval(): Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
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prepare make_interval() 4533 4626 91 0.2 4532.8 1.0X
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make_interval(0, 1, 2, 3, 4, 5, 50.123456) 68 68 0 14.7 67.9 66.7X
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make_interval(*, *, 2, 3, 4, 5, 50.123456) 92 98 6 10.8 92.3 49.1X
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make_interval(0, 1, *, *, 4, 5, 50.123456) 103 107 6 9.7 102.8 44.1X
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make_interval(0, 1, 2, 3, *, *, *) 4521 4576 47 0.2 4521.4 1.0X
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make_interval(*, *, *, *, *, *, *) 4580 4591 11 0.2 4579.9 1.0X
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