Jefffrey commented on PR #10296:
URL: https://github.com/apache/arrow-rs/pull/10296#issuecomment-4976654859
I ran `cargo bench -p arrow --bench json_writer --features "test_utils
json"` locally with the bench changes on main then on this branch:
```diff
bench_integer time: [2.4510 ms 2.4599 ms 2.4684 ms]
+ change: [−4.3634% −3.9909% −3.6416%] (p = 0.00 <
0.05)
Performance has improved.
Found 17 outliers among 100 measurements (17.00%)
8 (8.00%) low severe
8 (8.00%) low mild
1 (1.00%) high mild
bench_float time: [2.9815 ms 2.9848 ms 2.9883 ms]
+ change: [−6.1623% −5.8905% −5.6521%] (p = 0.00 <
0.05)
Performance has improved.
Found 7 outliers among 100 measurements (7.00%)
7 (7.00%) high mild
bench_string time: [7.4536 ms 7.4639 ms 7.4741 ms]
+ change: [−2.7981% −2.5786% −2.3719%] (p = 0.00 <
0.05)
Performance has improved.
Found 1 outliers among 100 measurements (1.00%)
1 (1.00%) low mild
bench_mixed time: [10.658 ms 10.680 ms 10.705 ms]
+ change: [−7.4853% −7.1895% −6.9014%] (p = 0.00 <
0.05)
Performance has improved.
Found 1 outliers among 100 measurements (1.00%)
1 (1.00%) high severe
bench_mixed_longname time: [5.1188 ms 5.1363 ms 5.1558 ms]
+ change: [−28.954% −28.551% −28.156%] (p = 0.00 <
0.05)
Performance has improved.
Found 9 outliers among 100 measurements (9.00%)
6 (6.00%) high mild
3 (3.00%) high severe
bench_shortmixed_longname
time: [4.2039 ms 4.2093 ms 4.2148 ms]
+ change: [−29.683% −29.502% −29.324%] (p = 0.00 <
0.05)
Performance has improved.
Found 1 outliers among 100 measurements (1.00%)
1 (1.00%) high mild
bench_dict_array time: [3.6259 ms 3.6349 ms 3.6446 ms]
+ change: [−1.7944% −1.5260% −1.2328%] (p = 0.00 <
0.05)
Performance has improved.
Found 6 outliers among 100 measurements (6.00%)
3 (3.00%) high mild
3 (3.00%) high severe
bench_struct time: [17.071 ms 17.102 ms 17.135 ms]
+ change: [−2.3589% −2.0595% −1.7670%] (p = 0.00 <
0.05)
Performance has improved.
Found 7 outliers among 100 measurements (7.00%)
1 (1.00%) low mild
4 (4.00%) high mild
2 (2.00%) high severe
bench_nullable_struct time: [8.9790 ms 9.0044 ms 9.0332 ms]
- change: [+10.464% +10.847% +11.310%] (p = 0.00 <
0.05)
Performance has regressed.
Found 8 outliers among 100 measurements (8.00%)
2 (2.00%) high mild
6 (6.00%) high severe
bench_list time: [25.390 ms 25.439 ms 25.492 ms]
- change: [+7.6416% +8.2171% +8.7591%] (p = 0.00 <
0.05)
Performance has regressed.
Found 4 outliers among 100 measurements (4.00%)
3 (3.00%) high mild
1 (1.00%) high severe
bench_nullable_list time: [5.4186 ms 5.4606 ms 5.5029 ms]
- change: [+4.2082% +5.2798% +6.3134%] (p = 0.00 <
0.05)
Performance has regressed.
bench_struct_list time: [2.5047 ms 2.5144 ms 2.5257 ms]
+ change: [−4.4805% −3.7484% −3.0407%] (p = 0.00 <
0.05)
Performance has improved.
Found 9 outliers among 100 measurements (9.00%)
7 (7.00%) high mild
2 (2.00%) high severe
f64_to_string time: [2.1164 ms 2.1199 ms 2.1236 ms]
+ change: [−3.0236% −2.7448% −2.4816%] (p = 0.00 <
0.05)
Performance has improved.
Found 7 outliers among 100 measurements (7.00%)
7 (7.00%) high mild
Benchmarking f32_to_string: Warming up for 3.0000 s
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase
target time to 6.0s, enable flat sampling, or reduce sample count to 60.
f32_to_string time: [1.1920 ms 1.1955 ms 1.1995 ms]
change: [+0.5809% +0.8944% +1.2082%] (p = 0.00 <
0.05)
Change within noise threshold.
Benchmarking i64_to_string: Warming up for 3.0000 s
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase
target time to 7.9s, enable flat sampling, or reduce sample count to 50.
i64_to_string time: [1.5718 ms 1.5768 ms 1.5818 ms]
change: [−1.4256% −1.0300% −0.6526%] (p = 0.00 <
0.05)
Change within noise threshold.
Found 2 outliers among 100 measurements (2.00%)
2 (2.00%) high mild
Benchmarking i32_to_string: Warming up for 3.0000 s
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase
target time to 7.4s, enable flat sampling, or reduce sample count to 50.
i32_to_string time: [1.4531 ms 1.4576 ms 1.4621 ms]
+ change: [−2.2713% −1.8183% −1.3782%] (p = 0.00 <
0.05)
Performance has improved.
Found 7 outliers among 100 measurements (7.00%)
6 (6.00%) high mild
1 (1.00%) high severe
mixed_numbers_to_string time: [7.1889 ms 7.2025 ms 7.2169 ms]
- change: [+4.0331% +4.3315% +4.6342%] (p = 0.00 <
0.05)
Performance has regressed.
Found 5 outliers among 100 measurements (5.00%)
4 (4.00%) high mild
1 (1.00%) high severe
```
Can see clear improvements on the longname ones 🚀
I think the other regressions are just noise 🤔
Curious if you see similar results
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