spark-instrumented-optimizer/sql/hive/benchmarks/ObjectHashAggregateExecBenchmark-results.txt
HyukjinKwon ebf01ec3c1 [SPARK-34950][TESTS] Update benchmark results to the ones created by GitHub Actions machines
### 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:

![Screen Shot 2021-04-03 at 9 31 23 PM](https://user-images.githubusercontent.com/6477701/113478478-f4b57b80-94c3-11eb-9047-f81ca8c59672.png)

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>
2021-04-03 23:02:56 +03:00

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================================================================================================
Hive UDAF vs Spark AF
================================================================================================
OpenJDK 64-Bit Server VM 1.8.0_282-b08 on Linux 5.4.0-1043-azure
Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
hive udaf vs spark af: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
hive udaf w/o group by 4805 4881 55 0.0 73323.1 1.0X
spark af w/o group by 34 39 6 2.0 511.6 143.3X
hive udaf w/ group by 3770 3884 202 0.0 57526.2 1.3X
spark af w/ group by w/o fallback 34 39 5 1.9 525.7 139.5X
spark af w/ group by w/ fallback 39 44 5 1.7 596.5 122.9X
================================================================================================
ObjectHashAggregateExec vs SortAggregateExec - typed_count
================================================================================================
OpenJDK 64-Bit Server VM 1.8.0_282-b08 on Linux 5.4.0-1043-azure
Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
object agg v.s. sort agg: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
sort agg w/ group by 30645 31295 919 3.4 292.3 1.0X
object agg w/ group by w/o fallback 7025 7425 425 14.9 67.0 4.4X
object agg w/ group by w/ fallback 17222 18169 1251 6.1 164.2 1.8X
sort agg w/o group by 4755 4827 143 22.1 45.3 6.4X
object agg w/o group by w/o fallback 4183 4495 269 25.1 39.9 7.3X
================================================================================================
ObjectHashAggregateExec vs SortAggregateExec - percentile_approx
================================================================================================
OpenJDK 64-Bit Server VM 1.8.0_282-b08 on Linux 5.4.0-1043-azure
Intel(R) Xeon(R) Platinum 8272CL CPU @ 2.60GHz
object agg v.s. sort agg: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
sort agg w/ group by 625 673 29 3.4 297.9 1.0X
object agg w/ group by w/o fallback 509 549 24 4.1 242.9 1.2X
object agg w/ group by w/ fallback 600 652 33 3.5 286.2 1.0X
sort agg w/o group by 461 499 20 4.6 219.6 1.4X
object agg w/o group by w/o fallback 470 510 22 4.5 224.0 1.3X