Dandandan opened a new pull request #9279:
URL: https://github.com/apache/arrow/pull/9279
This PR changes take string to use `MutableBuffer` to create a byte array
directly instead of converting it from a `Vec<u8>`.
There used to be some overhead compared to using a `Vec` and converting it
to a buffer afterwards, but the overhead seems to be gone now.
The change seems to be neutral according to benchmarks, giving results
within a few %. If there is any remaining overhead in `MutableBufffer` I think
we should fix that rather than having some workarounds and inconsistencies with
other kernels.
```
take str 512 time: [2.3304 us 2.3358 us 2.3419 us]
change: [-4.4130% -4.0693% -3.7241%] (p = 0.00 <
0.05)
Performance has improved.
Found 3 outliers among 100 measurements (3.00%)
2 (2.00%) high mild
1 (1.00%) high severe
Benchmarking take str 1024: Collecting 100 samples in estimated 5.0198 s
(1.1M i
take str 1024 time: [4.3583 us 4.3633 us 4.3694 us]
change: [-0.5853% +1.1186% +2.9951%] (p = 0.29 >
0.05)
No change in performance detected.
Found 16 outliers among 100 measurements (16.00%)
3 (3.00%) low severe
6 (6.00%) high mild
7 (7.00%) high severe
Benchmarking take str null indices 512: Collecting 100 samples in estimated
5.00
take str null indices 512
time: [2.4779 us 2.4813 us 2.4844 us]
change: [-2.4765% -2.2000% -1.9437%] (p = 0.00 <
0.05)
Performance has improved.
Found 5 outliers among 100 measurements (5.00%)
3 (3.00%) low mild
2 (2.00%) high mild
Benchmarking take str null indices 1024: Collecting 100 samples in estimated
5.0
take str null indices 1024
time: [4.4823 us 4.4910 us 4.5053 us]
change: [-4.8482% -4.5426% -4.2894%] (p = 0.00 <
0.05)
Performance has improved.
Found 5 outliers among 100 measurements (5.00%)
1 (1.00%) low mild
3 (3.00%) high mild
1 (1.00%) high severe
Benchmarking take str null values 1024: Collecting 100 samples in estimated
5.00
take str null values 1024
time: [4.4856 us 4.4889 us 4.4920 us]
change: [-2.2093% -2.0471% -1.8925%] (p = 0.00 <
0.05)
Performance has improved.
Found 7 outliers among 100 measurements (7.00%)
2 (2.00%) low severe
3 (3.00%) low mild
1 (1.00%) high mild
1 (1.00%) high severe
Benchmarking take str null values null indices 1024: Collecting 100 samples
in e
take str null values null indices 1024
time: [9.6438 us 9.6514 us 9.6592 us]
change: [-2.8600% -2.7478% -2.6338%] (p = 0.00 <
0.05)
Performance has improved.
Found 2 outliers among 100 measurements (2.00%)
1 (1.00%) high mild
1 (1.00%) high severe
```
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