spark-instrumented-optimizer/sql/catalyst/benchmarks/GenericArrayDataBenchmark-jdk11-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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OpenJDK 64-Bit Server VM 11.0.10+9-LTS on Linux 5.4.0-1043-azure
Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
constructor: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
arrayOfAny 5 6 1 1957.6 0.5 1.0X
arrayOfAnyAsObject 5 6 1 2001.6 0.5 1.0X
arrayOfAnyAsSeq 5 6 1 2040.4 0.5 1.0X
arrayOfInt 578 595 20 17.3 57.8 0.0X
arrayOfIntAsObject 830 847 18 12.0 83.0 0.0X