jonathanc-n commented on issue #13011:
URL: https://github.com/apache/datafusion/issues/13011#issuecomment-2430468199
I added the global flags for regexp_replace so it actually replaces all the
matches:
```
regexp_count_1000 string
time: [4.7333 ms 4.7585 ms 4.7831 ms]
change: [-1.3314% -0.5013% +0.3281%] (p = 0.24 >
0.05)
No change in performance detected.
Benchmarking regexp_count_1000 utf8view: Collecting 100 samples in estimated
5.1350 s (1
regexp_count_1000 utf8view
time: [4.7126 ms 4.7726 ms 4.8517 ms]
change: [-1.2727% +0.1796% +1.9213%] (p = 0.84 >
0.05)
No change in performance detected.
Found 2 outliers among 100 measurements (2.00%)
2 (2.00%) high severe
Benchmarking regexp_like_1000: Collecting 100 samples in estimated 5.1855 s
(2400 iterat
regexp_like_1000 time: [2.1724 ms 2.1958 ms 2.2264 ms]
change: [-1.2309% -0.1167% +1.1757%] (p = 0.87 >
0.05)
No change in performance detected.
Found 10 outliers among 100 measurements (10.00%)
2 (2.00%) high mild
8 (8.00%) high severe
Benchmarking regexp_match_1000: Collecting 100 samples in estimated 5.0246 s
(2000 itera
regexp_match_1000 time: [2.5040 ms 2.5100 ms 2.5208 ms]
change: [-2.0363% -1.1304% -0.3542%] (p = 0.00 <
0.05)
Change within noise threshold.
Found 3 outliers among 100 measurements (3.00%)
1 (1.00%) high mild
2 (2.00%) high severe
Benchmarking regexp_replace_1000: Collecting 100 samples in estimated 5.3076
s (1700 ite
regexp_replace_1000 time: [3.0762 ms 3.0808 ms 3.0855 ms]
change: [-3.0060% -1.5322% -0.4700%] (p = 0.01 <
0.05)
Change within noise threshold.
```
There is definitely a change compared to the benchmark taken by
@xinlifoobar however the count function is still marginally slower.
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