mqy edited a comment on pull request #8954:
URL: https://github.com/apache/arrow/pull/8954#issuecomment-747475634
Amazing, great work! Here is my bench result on mac book pro 2018:
```
$ git checkout mutable_filter2
Previous HEAD position was 54da4378d Improved filter bench.
Switched to branch 'mutable_filter2'
Your branch is up to date with 'jorgecarleitao/mutable_filter2'.
$ cargo bench --bench filter_kernels
Compiling arrow v3.0.0-SNAPSHOT (/Users/mqy/tools/data/arrow/rust/arrow)
Finished bench [optimized] target(s) in 30.81s
Running target/release/deps/filter_kernels-9a777356dd1c1b39
Gnuplot not found, using plotters backend
filter u8 time: [3.3223 us 3.3282 us 3.3340 us]
change: [-99.062% -99.059% -99.056%] (p = 0.00 <
0.05)
Performance has improved.
Found 6 outliers among 100 measurements (6.00%)
3 (3.00%) low mild
3 (3.00%) high severe
filter u8 high selectivity
time: [6.6873 us 6.8811 us 7.0893 us]
change: [-65.458% -64.142% -62.812%] (p = 0.00 <
0.05)
Performance has improved.
Found 7 outliers among 100 measurements (7.00%)
7 (7.00%) high mild
filter u8 low selectivity
time: [2.6626 us 2.6704 us 2.6783 us]
change: [-53.949% -53.755% -53.558%] (p = 0.00 <
0.05)
Performance has improved.
Found 1 outliers among 100 measurements (1.00%)
1 (1.00%) high mild
filter context u8 time: [1.6725 us 1.6814 us 1.6902 us]
change: [-99.525% -99.522% -99.519%] (p = 0.00 <
0.05)
Performance has improved.
Found 1 outliers among 100 measurements (1.00%)
1 (1.00%) low mild
filter context u8 high selectivity
time: [4.3977 us 4.5770 us 4.7594 us]
change: [-75.323% -73.815% -72.286%] (p = 0.00 <
0.05)
Performance has improved.
Found 11 outliers among 100 measurements (11.00%)
11 (11.00%) high mild
filter context u8 low selectivity
time: [1.1797 us 1.1843 us 1.1890 us]
change: [-74.379% -74.076% -73.824%] (p = 0.00 <
0.05)
Performance has improved.
filter context u8 w NULLs
time: [2.0055 us 2.0120 us 2.0187 us]
change: [-99.621% -99.619% -99.618%] (p = 0.00 <
0.05)
Performance has improved.
Found 2 outliers among 100 measurements (2.00%)
1 (1.00%) low mild
1 (1.00%) high mild
filter context u8 w NULLs high selectivity
time: [243.76 us 244.08 us 244.41 us]
change: [-32.511% -32.318% -32.144%] (p = 0.00 <
0.05)
Performance has improved.
filter context u8 w NULLs low selectivity
time: [1.4073 us 1.4151 us 1.4230 us]
change: [-73.174% -72.860% -72.574%] (p = 0.00 <
0.05)
Performance has improved.
Found 2 outliers among 100 measurements (2.00%)
2 (2.00%) high mild
filter context f32 time: [3.7693 us 3.7804 us 3.7918 us]
change: [-99.341% -99.337% -99.332%] (p = 0.00 <
0.05)
Performance has improved.
Found 8 outliers among 100 measurements (8.00%)
3 (3.00%) low mild
4 (4.00%) high mild
1 (1.00%) high severe
filter context f32 high selectivity
time: [257.52 us 258.42 us 259.27 us]
change: [-31.098% -30.752% -30.429%] (p = 0.00 <
0.05)
Performance has improved.
Found 2 outliers among 100 measurements (2.00%)
2 (2.00%) high mild
filter context f32 low selectivity
time: [1.3838 us 1.3901 us 1.3964 us]
change: [-77.474% -77.227% -77.021%] (p = 0.00 <
0.05)
Performance has improved.
filter context string time: [4.7862 us 4.8040 us 4.8206 us]
change: [-99.393% -99.389% -99.386%] (p = 0.00 <
0.05)
Performance has improved.
Found 11 outliers among 100 measurements (11.00%)
1 (1.00%) low mild
7 (7.00%) high mild
3 (3.00%) high severe
filter context string high selectivity
time: [833.56 us 836.78 us 843.25 us]
change: [-20.015% -19.639% -19.202%] (p = 0.00 <
0.05)
Performance has improved.
Found 9 outliers among 100 measurements (9.00%)
2 (2.00%) low mild
3 (3.00%) high mild
4 (4.00%) high severe
filter context string low selectivity
time: [1.6389 us 1.6486 us 1.6584 us]
change: [-76.728% -76.552% -76.376%] (p = 0.00 <
0.05)
Performance has improved.
Found 1 outliers among 100 measurements (1.00%)
1 (1.00%) high mild
```
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
