yjshen commented on pull request #1849:
URL:
https://github.com/apache/arrow-datafusion/pull/1849#issuecomment-1046183553
For the record batch to row conversion case, I saw a 15% performance boost
while using JIT.
```
Benchmarking row serializer: Warming up for 3.0000 s
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase
target time to 283.9s, or reduce sample count to 10.
row serializer time: [2.6387 s 2.6547 s 2.6711 s]
change: [-1.1837% -0.2705% +0.6336%] (p = 0.56 >
0.05)
No change in performance detected.
Benchmarking row serializer jit: Warming up for 3.0000 s
Warning: Unable to complete 100 samples in 5.0s. You may wish to increase
target time to 240.6s, or reduce sample count to 10.
row serializer jit time: [2.2340 s 2.2833 s 2.3500 s]
change: [-1.1701% +0.8754% +4.0019%] (p = 0.57 >
0.05)
No change in performance detected.
Found 7 outliers among 100 measurements (7.00%)
7 (7.00%) high severe
```
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