Ted-Jiang commented on PR #2677:
URL:
https://github.com/apache/arrow-datafusion/pull/2677#issuecomment-1169493419
> Benchmarking tokio: select string_required from t where dict_10_required =
'prefix#1' and dict_1000_required = 'p...: Warming up for 3.0000 s
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase
target time to 12.0s, or reduce sample count to 40.
tokio: select string_required from t where dict_10_required = 'prefix#1' and
dict_1000_required = 'p...
time: [119.38 ms 119.57 ms 119.78 ms]
change: [+15.290% +15.988% +16.582%] (p = 0.00 <
0.05)
Performance has regressed.
Found 5 outliers among 100 measurements (5.00%)
5 (5.00%) high mild
>Benchmarking scheduled: select string_required from t where
dict_10_required = 'prefix#1' and dict_1000_required ...: Warming up for 3.0000
s
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase
target time to 12.4s, or reduce sample count to 40.
scheduled: select string_required from t where dict_10_required = 'prefix#1'
and dict_1000_required ...
time: [123.68 ms 123.88 ms 124.11 ms]
change: [+11.570% +12.168% +12.748%] (p = 0.00 <
0.05)
Performance has regressed.
Found 11 outliers among 100 measurements (11.00%)
6 (6.00%) high mild
🤔 why these case has such regression.
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