Omega359 commented on code in PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#discussion_r2020191523
##########
datafusion/functions/src/datetime/to_char.rs:
##########
@@ -220,6 +221,13 @@ fn _to_char_scalar(
}
}
+ // eagerly cast Date32 values to Date64 to support date formatting with
time-related specifiers
+ // without error.
+ if data_type == &Date32 {
Review Comment:
Some data from a quick little benchmark I wrote
```
test_date32_to_date64_cast_array_1000
time: [311.06 ns 314.48 ns 318.16 ns]
Found 4 outliers among 100 measurements (4.00%)
1 (1.00%) high mild
3 (3.00%) high severe
test_parse_performance_with_time_specifiers_array_1000
time: [343.79 ns 351.64 ns 359.98 ns]
Found 14 outliers among 100 measurements (14.00%)
10 (10.00%) low mild
3 (3.00%) high mild
1 (1.00%) high severe
test_parse_performance_without_time_specifiers_array_1000
time: [196.59 µs 201.06 µs 206.45 µs]
Found 10 outliers among 100 measurements (10.00%)
2 (2.00%) high mild
8 (8.00%) high severe
```
Note that results on my machine will vary +-10% between runs. The check for
time specifiers in the format is simple and could be improved but I think is
enough to show general performance. Note that the list of time specifiers is
not complete
```
const TIME_SPECIFIERS: &[&str] = &[
"%H", "%M", "%S", "%c", "%f", "%k", "%I", "%l", "%p", "%R", "%T", "%x",
"%r", "%Z",
];
fn has_time_specifiers(str: &str) -> bool {
for specifier in TIME_SPECIFIERS {
if str.contains(specifier) {
return true;
}
}
false
}
```
A couple of takeaways from this. casting is not as cheap as I thought
however parsing is seems to be more expensive than that but perhaps with some
really good optimizations it could be reduced.
I don't see a good way to make this feature have no cost with Date32 && no
time specifiers in the format.
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