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spark-instrumented-optimizer/sql/core/benchmarks/JsonBenchmark-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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================================================================================================
Benchmark for performance of JSON parsing
================================================================================================
Preparing data for benchmarking ...
OpenJDK 64-Bit Server VM 1.8.0_282-b08 on Linux 5.4.0-1043-azure
Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
JSON schema inferring: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
No encoding 4500 4634 132 1.1 900.1 1.0X
UTF-8 is set 6666 6700 53 0.8 1333.3 0.7X
Preparing data for benchmarking ...
OpenJDK 64-Bit Server VM 1.8.0_282-b08 on Linux 5.4.0-1043-azure
Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
count a short column: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
No encoding 3231 3303 88 1.5 646.2 1.0X
UTF-8 is set 5442 5513 72 0.9 1088.4 0.6X
Preparing data for benchmarking ...
OpenJDK 64-Bit Server VM 1.8.0_282-b08 on Linux 5.4.0-1043-azure
Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
count a wide column: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
No encoding 11257 11271 14 0.1 11257.4 1.0X
UTF-8 is set 13220 13469 296 0.1 13219.5 0.9X
Preparing data for benchmarking ...
OpenJDK 64-Bit Server VM 1.8.0_282-b08 on Linux 5.4.0-1043-azure
Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
select wide row: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
No encoding 16207 16359 168 0.0 324141.3 1.0X
UTF-8 is set 17577 17811 214 0.0 351539.6 0.9X
Preparing data for benchmarking ...
OpenJDK 64-Bit Server VM 1.8.0_282-b08 on Linux 5.4.0-1043-azure
Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
Select a subset of 10 columns: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Select 10 columns 2596 2633 34 0.4 2596.3 1.0X
Select 1 column 2730 2742 12 0.4 2729.6 1.0X
Preparing data for benchmarking ...
OpenJDK 64-Bit Server VM 1.8.0_282-b08 on Linux 5.4.0-1043-azure
Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
creation of JSON parser per line: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Short column without encoding 1089 1092 4 0.9 1088.9 1.0X
Short column with UTF-8 1410 1436 22 0.7 1410.3 0.8X
Wide column without encoding 16404 16572 184 0.1 16403.5 0.1X
Wide column with UTF-8 19200 19238 57 0.1 19200.0 0.1X
Preparing data for benchmarking ...
OpenJDK 64-Bit Server VM 1.8.0_282-b08 on Linux 5.4.0-1043-azure
Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
JSON functions: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Text read 130 134 4 7.7 130.1 1.0X
from_json 2863 2884 19 0.3 2862.7 0.0X
json_tuple 3325 3374 44 0.3 3324.5 0.0X
get_json_object 2892 2919 25 0.3 2892.2 0.0X
Preparing data for benchmarking ...
OpenJDK 64-Bit Server VM 1.8.0_282-b08 on Linux 5.4.0-1043-azure
Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
Dataset of json strings: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Text read 564 584 18 8.9 112.7 1.0X
schema inferring 4592 4601 12 1.1 918.3 0.1X
parsing 4032 4109 113 1.2 806.3 0.1X
Preparing data for benchmarking ...
OpenJDK 64-Bit Server VM 1.8.0_282-b08 on Linux 5.4.0-1043-azure
Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
Json files in the per-line mode: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Text read 1267 1282 18 3.9 253.4 1.0X
Schema inferring 5201 5277 73 1.0 1040.2 0.2X
Parsing without charset 5081 5140 64 1.0 1016.3 0.2X
Parsing with UTF-8 6554 6632 116 0.8 1310.8 0.2X
OpenJDK 64-Bit Server VM 1.8.0_282-b08 on Linux 5.4.0-1043-azure
Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
Write dates and timestamps: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
Create a dataset of timestamps 218 223 6 4.6 218.0 1.0X
to_json(timestamp) 1722 1734 12 0.6 1722.5 0.1X
write timestamps to files 1490 1503 14 0.7 1489.6 0.1X
Create a dataset of dates 241 245 6 4.2 240.6 0.9X
to_json(date) 1102 1128 24 0.9 1102.2 0.2X
write dates to files 900 927 24 1.1 899.6 0.2X
OpenJDK 64-Bit Server VM 1.8.0_282-b08 on Linux 5.4.0-1043-azure
Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
Read dates and timestamps: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
read timestamp text from files 323 331 9 3.1 323.2 1.0X
read timestamps from files 3456 3465 9 0.3 3456.0 0.1X
infer timestamps from files 7237 7264 27 0.1 7237.2 0.0X
read date text from files 282 291 8 3.5 282.4 1.1X
read date from files 1762 1789 44 0.6 1761.6 0.2X
timestamp strings 455 466 18 2.2 454.5 0.7X
parse timestamps from Dataset[String] 3870 3937 99 0.3 3869.9 0.1X
infer timestamps from Dataset[String] 7701 7739 36 0.1 7701.5 0.0X
date strings 513 538 21 1.9 513.3 0.6X
parse dates from Dataset[String] 2102 2123 23 0.5 2102.3 0.2X
from_json(timestamp) 5846 5950 91 0.2 5846.0 0.1X
from_json(date) 3988 4010 21 0.3 3988.1 0.1X
OpenJDK 64-Bit Server VM 1.8.0_282-b08 on Linux 5.4.0-1043-azure
Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
Filters pushdown: Best Time(ms) Avg Time(ms) Stdev(ms) Rate(M/s) Per Row(ns) Relative
------------------------------------------------------------------------------------------------------------------------
w/o filters 25621 25700 113 0.0 256214.3 1.0X
pushdown disabled 24732 24764 36 0.0 247315.8 1.0X
w/ filters 827 842 13 0.1 8274.2 31.0X
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