Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-04-16 Thread via GitHub


Omega359 commented on PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#issuecomment-2810508066

   To put my notes here I prefer the version before the addition of the 
consecutive failures check - simpler and faster.


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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-04-11 Thread via GitHub


friendlymatthew commented on PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#issuecomment-2797704916

   _Note: I'm sorry about the super long write ups. I'm not trying to bike 
shed._
   
   I was thinking about 
https://github.com/apache/datafusion/pull/15361/commits/f906af55df1b9c9bbfa15513da2e8ca17580e783
 and realized we could do more.
   
   The selective retry approach will extract every failed `Date32` and cast it 
to a `Date64`. If we have M failed `Date32`'s, we'll still recast M times. It's 
just that every cast will have a single element in the array. 
   
   We can use the cast even more sparingly, by keeping track of consecutive 
failed `Date32`s. 
   
   Suppose you had a 1000 format attempts, and a contiguous block of those 
format attempts erred because they contained datetime specifiers:
   
   ```sh
   |--|x|---|
  valid  invalid   valid
   ```
   
   For every invalid `Date32`, we'll create an array of size 1 and recast that 
array to a `Date64` array. 
   
   
https://github.com/apache/datafusion/pull/15361/commits/b379fe1b2927fc5c275670c70721df947a433c13
 will keep track of  consecutive failed `Date32` values. By batching the failed 
`Date32`'s, we can call cast _once_. And of course, we preserve the order.
   
   This approach also helps with readability and saves LOC, `to_char_inner` 
gets recursively invoked with the newly casted timestamp array.
   
   ## Benchmarks
   
   She leaves the existing code paths undisturbed like usual. While performance 
has slightly regressed, I really like how this approach looks and would prefer 
to call `cast` sparingly and make use of the batching. 
   
   ```sh
   # I ran the initial selective retry approach first. 
   # This run includes the new logic mentioned above.
   
   to_char_array_date_only_patterns_1000
   time:   [136.92 µs 137.15 µs 137.39 µs]
   change: [-3.1659% -2.3990% -1.6897%] (p = 0.00 < 
0.05)
   Performance has improved.
   Found 19 outliers among 100 measurements (19.00%)
 7 (7.00%) high mild
 12 (12.00%) high severe
   
   to_char_array_datetime_patterns_1000
   time:   [543.24 µs 543.84 µs 544.47 µs]
   change: [+4.4460% +6.0837% +7.4847%] (p = 0.00 < 
0.05)
   Performance has regressed.
   
   to_char_array_mixed_patterns_1000
   time:   [339.68 µs 342.60 µs 345.66 µs]
   change: [-5.3101% -2.9305% -0.8615%] (p = 0.01 < 
0.05)
   Change within noise threshold.
   Found 4 outliers among 100 measurements (4.00%)
 3 (3.00%) high mild
 1 (1.00%) high severe
   
   to_char_scalar_date_only_pattern_1000
   time:   [95.107 µs 98.972 µs 102.90 µs]
   change: [-5.9031% -1.2243% +3.4337%] (p = 0.60 > 
0.05)
   No change in performance detected.
   
   to_char_scalar_datetime_pattern_1000
   time:   [171.09 µs 179.74 µs 188.39 µs]
   change: [-4.0895% +1.3179% +7.1836%] (p = 0.64 > 
0.05)
   No change in performance detected.
   
   to_char_scalar_1000 time:   [315.63 ns 319.69 ns 323.50 ns]
   change: [-7.9240% -6.5685% -5.1341%] (p = 0.00 < 
0.05)
   Performance has improved.
   ```
   
   
   cc @Omega359 @alamb 
   


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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-04-11 Thread via GitHub


Omega359 commented on PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#issuecomment-2797640563

   Thanks for the additional work on this @friendlymatthew ! I think this 
approach is solid - the overhead for the casting is limited to only the cases 
where the format string includes time type specifiers and otherwise the 
performance is unchanged.


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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-04-10 Thread via GitHub


friendlymatthew commented on PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#issuecomment-2794878604

   f906af55df1b9c9bbfa15513da2e8ca17580e783 is a proof of concept that involves 
selective retry on err. _There's benchmark results below!_
   
   ## Quick overview 
   
   The `to_char_scalar` is quite trivial-- we deal with 1 format string for N 
Date32s, the first format err will trigger a retry, treating the `Date32` array 
as a `Date64` array.
   
   The `to_char_array` is trickier since we deal with N format strings for N 
`Date32`s. _When_ a format error occurs at the ith `Date32`, we'll retry that 
specific date as a `Date64`. And rather than recast the entire input `Date32` 
array as a `Date64` array, we slice into the array and only retrieve the faulty 
`Date32`.
   
   Another method I considered was casting the input `Date32` array at _most_ 
once. When the first occurrence of a format err occurs, we'll just recast the 
entire input array as a `Date64` array. So that subsequent format strings with 
time-specifiers will format without err.
   
   I don't really like this, because I'd like to cast from `Date32` to `Date64` 
very sparingly. Also, if we have a 1000 `Date32` and a 1000 format strings, and 
it just happens that the last format string contains time-specifiers, we'd 
endure the pain of casting the entire input array as a `Date64` array just to 
format the last element.
   
   
   ## Benchmarks
   ### Selective retry vs. main
   
   The selective retry doesn't disturb the code path. When benchmarking with 
main, we see little to no variance. 
   
   ```sh
   # The selective retry code was benched first. This is the benchmark result 
when running on main.
   
   to_char_array_date_only_patterns_1000
   time:   [136.87 µs 137.13 µs 137.49 µs]
   change: [-0.9784% -0.7511% -0.4721%] (p = 0.00 < 
0.05)
   Change within noise threshold.
   Found 10 outliers among 100 measurements (10.00%)
 1 (1.00%) low mild
 2 (2.00%) high mild
 7 (7.00%) high severe
   
   to_char_scalar_date_only_pattern_1000
   time:   [101.26 µs 104.97 µs 108.40 µs]
   change: [-1.5505% +2.7529% +7.4144%] (p = 0.21 > 
0.05)
   No change in performance detected.
   
   ```
   
   ### Eager cast vs. selective retry
   
   Since selective retry doesn't disturb the existing paths, those cases also 
run much faster when compared to the eager cast approach. 
   
   Plus, the selective retry approach sees a 3% improvement in the 
`to_char_scalar` than the eager cast approach.
   
   The tradeoff here is that the new features we want to have suffer and is 
slower than the eager cast approach.
   
   ```sh
   # The eager cast code was benched first. This is the benchmark result when 
running the selective retry code. 
   
   to_char_array_date_only_patterns_1000
   time:   [137.99 µs 138.20 µs 138.44 µs]
   change: [-21.564% -20.959% -20.538%] (p = 0.00 < 
0.05)
   Performance has improved.
   Found 2 outliers among 100 measurements (2.00%)
 2 (2.00%) high mild
   
   to_char_array_datetime_patterns_1000
   time:   [503.48 µs 506.55 µs 509.87 µs]
   change: [+110.95% +112.69% +114.12%] (p = 0.00 < 
0.05)
   Performance has regressed.
   Found 5 outliers among 100 measurements (5.00%)
 5 (5.00%) high mild
   
   to_char_array_mixed_patterns_1000
   time:   [323.05 µs 325.66 µs 328.11 µs]
   change: [+65.744% +66.705% +67.701%] (p = 0.00 < 
0.05)
   Performance has regressed.
   Found 3 outliers among 100 measurements (3.00%)
 3 (3.00%) high mild
   
   to_char_scalar_date_only_pattern_1000
   time:   [96.153 µs 100.02 µs 103.88 µs]
   change: [-12.058% -8.2654% -4.3595%] (p = 0.00 < 
0.05)
   Performance has improved.
   
   to_char_scalar_datetime_pattern_1000
   time:   [177.38 µs 186.04 µs 194.64 µs]
   change: [-11.383% -7.3528% -3.2635%] (p = 0.00 < 
0.05)
   Performance has improved.
   Found 20 outliers among 100 measurements (20.00%)
 14 (14.00%) low mild
 6 (6.00%) high mild
   
   to_char_scalar_1000 time:   [312.03 ns 316.56 ns 320.91 ns]
   change: [-4.3628% -3.1215% -1.7750%] (p = 0.00 < 
0.05)
   Performance has improved.
   ```
   
   
   If you want to run these benchmarks yourself, you can run:
   
   ```sh
   # use this to compare the alternate approaches (eager cast vs. selective 
retry)
   cargo bench --package datafusion-functions "to_char"
   ```
   
   ```sh
   # use this to compare approaches to main
   cargo be

Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-04-07 Thread via GitHub


friendlymatthew commented on PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#issuecomment-2783424002

   It may be beneficial to leave the existing code paths undisturbed and decide 
whether to retry on err. 
   
   It avoids the overhead of custom `chrono::Strftime::parse` validation. Plus, 
the retry logic for `to_char_scalar` is simple to implement. Something like:
   
   
   to_char_scalar
   
   
   ```rust
 let formatter = ArrayFormatter::try_new(array.as_ref(), &format_options)?;
 let formatted: Result>, ArrowError> = (0..array.len())
 .map(|i| {
 if array.is_null(i) {
 Ok(None)
 } else {
 formatter.value(i).try_to_string().map(Some)
 }
 })
 .collect(); /*
  will stop iterating upon the first err and 
  since we're dealing with one format string, 
  it'll halt after the first format attempt
   */
   
 if let Ok(formatted) = formatted {
 if is_scalar_expression {
 Ok(ColumnarValue::Scalar(ScalarValue::Utf8(
 formatted.first().unwrap().clone(),
 )))
 } else {
 Ok(ColumnarValue::Array(
 Arc::new(StringArray::from(formatted)) as ArrayRef
 ))
 }
 } else {
 // if the format attempt is with a Date32, it's possible the attempt 
failed because
 // the format string contained time-specifiers, so we'll retry as 
Date64s
 if data_type == &Date32 {
 return to_char_scalar(expression.clone().cast_to(&Date64, None)?, 
format);
 }
   
 exec_err!("{}", formatted.unwrap_err())
 }
   ```
   
   
   `to_char_array` is a bit more complex (see 
https://github.com/apache/datafusion/pull/15361#discussion_r2015455219), but 
I'll think it through.
   
   FWIW, it's worth implementing the retry logic and benchmarking the 
performance. I'm happy to do the work. The decision between eager casting and 
selective retry likely comes down to whether we're willing to slightly slow 
down existing behavior in exchange for better performance in the new case. But 
I'm just spitballing.


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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-04-07 Thread via GitHub


Omega359 commented on PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#issuecomment-2783327108

   It's only slower when date32 is the input type. It's going to be hard to 
have this functionality for formats with timestamp specifiers but not have some 
sort of impact on those with just date specifiers. The only way I can think of 
to handle that is via catching the error when the parsing fails and retrying 
with date64. 
   
   To put some context on this:
   - The 25% is for the case where the use has an array of 1000 dates *and* 
1000 formats (the table case)
   - The 7% is for the far more common case of 1000 dates and a single format. 
That is the overhead of chrono parsing a format string and doing matches on 
that.
   - This does not affect any other input types.


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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-04-07 Thread via GitHub


alamb commented on PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#issuecomment-2782998319

   > (TLDR) This branch will make the existing to_char paths slower, at the 
cost of adding the ability to format time-specifiers.
   
   Slowing down existing functionality for current users for some new 
functionality  doesn't sound like a great tradeoff to me -- if users want this 
behavior they can always override the to_char implementation
   
   If we can retain the same performance for existing to_char but add the new 
feature I think that is much more reasonable


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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-04-06 Thread via GitHub


friendlymatthew commented on PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#issuecomment-2781505801

   Some benchmark results when comparing main with this branch:
   
   _(TLDR) This branch will make the existing `to_char` paths slower, at the 
cost of adding the ability to format time-specifiers._ 
   
   I compared two benchmark functions: `to_char_array_date_only_patterns_1000` 
and `to_char_scalar_date_only_pattern_1000`. 
   
   These functions are concerned with formatting dates with date-only 
specifiers. 
   
   From main: 
   
   ```sh
   to_char_array_date_only_patterns_1000
   time:   [136.39 µs 136.68 µs 137.03 µs]
   
   to_char_scalar_date_only_pattern_1000
   time:   [92.084 µs 95.999 µs 100.12 µs]
   ```
   
   And when compared to this branch: 
   ```sh
   to_char_array_date_only_patterns_1000
   time:   [173.46 µs 174.21 µs 175.10 µs]
   change: [+25.159% +25.881% +26.651%] (p = 0.00 < 
0.05)
   Performance has regressed.
   Found 6 outliers among 100 measurements (6.00%)
 6 (6.00%) high mild
   
   
   to_char_scalar_date_only_pattern_1000
   time:   [105.04 µs 109.46 µs 113.80 µs]
   change: [+6.6648% +11.410% +16.429%] (p = 0.00 < 
0.05)
   Performance has regressed.
   ```
   
   
   ### To reproduce: 
   
   You can run the two benchmark functions by: 
   ```sh
   cargo bench --package datafusion-functions 
"to_char_array_date_only_patterns_1000|to_char_scalar_date_only_pattern_1000"
   ```
   
   Since the benchmark function names clash between main and this branch, you 
can consider [this 
branch](https://github.com/apache/datafusion/compare/main...friendlymatthew:datafusion:friendlymatthew/date32-with-ts-format-main-reference)
 representing main. (This branch only contains the refactor benchmark logic). 
   


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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-04-05 Thread via GitHub


friendlymatthew commented on PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#issuecomment-2781078642

   > I messed up and pushed directly to your branch vs a PR, sorry about that 
@friendlymatthew
   
   Not at all, thank you and happy to collaborate on this together!


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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-04-05 Thread via GitHub


Omega359 commented on PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#issuecomment-2781048171

   I messed up and pushed directly to your branch vs a PR, sorry about that 
@friendlymatthew 


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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-04-04 Thread via GitHub


friendlymatthew commented on PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#issuecomment-2773811330

   > I went ahead and did a quick poc using format parsing, you can see it @ 
https://github.com/Omega359/arrow-datafusion/tree/to_char_date32_with_time_formats
 
([main...Omega359:arrow-datafusion:to_char_date32_with_time_formats](https://github.com/apache/datafusion/compare/main...Omega359:arrow-datafusion:to_char_date32_with_time_formats))
   > 
   > I haven't done a comparison with the benchmark results from main yet.
   
   I was planning on getting to 
[this](https://github.com/apache/datafusion/pull/15361#discussion_r2020139946) 
during the weekend, but wow, this is super awesome @Omega359! I love how 
`has_time_specifier` will early return `true` when encountering the first 
time-related specifier. 
   
   Let me know how you want to proceed, I'd be happy to help out with 
benchmarking.
   


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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-04-04 Thread via GitHub


friendlymatthew commented on code in PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#discussion_r2009208756


##
datafusion/functions/src/datetime/to_char.rs:
##
@@ -277,7 +282,25 @@ fn _to_char_array(args: &[ColumnarValue]) -> 
Result {
 let result = formatter.value(idx).try_to_string();
 match result {
 Ok(value) => results.push(Some(value)),
-Err(e) => return exec_err!("{}", e),
+Err(e) => {
+if data_type == &Date32 {

Review Comment:
   > I don't understand why this is handling errors -- shouldn't we just 
dispach on type when building the format options?
   
   Sorry. 
   
   I assume you mean detect whether the format options contain time specifiers 
ahead of time and if so cast the `Date32` into a `Date64`. 
   
   Or are you saying avoid the cast altogether? A 
`FormatOption.with_datetime_format()` won't work with `Date32`, as Arrow 
doesn't consider the `datetime_format` field when formatting a `Date32`. 
   
   ```rs
   #[test]
   fn unaffected_format() {
   let date_format = "%Y-%m %H";
   
   let cast_options = CastOptions {
   safe: false,
   format_options: 
FormatOptions::default().with_datetime_format(Some(date_format)),
   };
   
   let array = Date32Array::from(vec![1, 17890]);
   let res = cast_with_options(&array, &DataType::Utf8, &cast_options);
   dbg!(&res); // StringArray(["1997-05-19", "2018-12-25"])
   }
   ```
   
   Initially, I figured if the initial format attempt fails with a `Date32`, 
it'll retry as a `Date64`. This is similar to how [Postgres tries to parse an 
interval string under the normal standard, and if that errs, it tries to parse 
the string again using the ISO8601 
standard.](https://github.com/postgres/postgres/blob/58fdca2204de5f683f025df37553e5e69cb6adb1/src/backend/utils/adt/timestamp.c#L920-L929)
   
   Regardless, I'll be happy to refactor this.
   



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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-04-04 Thread via GitHub


friendlymatthew commented on PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#issuecomment-2779327000

   > Your branch you mean? I can try and push a PR to your branch once I figure 
out how :)
   
   I just sent an invite to collaborate on my fork. From there you should be 
able to directly push a commit to this branch. 


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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-04-04 Thread via GitHub


Omega359 commented on PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#issuecomment-2779311964

   Your branch you mean? I can try and push a PR to your branch once I figure 
out how :)


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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-04-04 Thread via GitHub


friendlymatthew commented on PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#issuecomment-2779265295

   > I went ahead and did a quick poc using format parsing, you can see it @ 
https://github.com/Omega359/arrow-datafusion/tree/to_char_date32_with_time_formats
 
([main...Omega359:arrow-datafusion:to_char_date32_with_time_formats](https://github.com/apache/datafusion/compare/main...Omega359:arrow-datafusion:to_char_date32_with_time_formats))
   > 
   > I haven't done a comparison with the benchmark results from main yet.
   
   @Omega359 would you be open to committing to this branch? This way, I could 
base the benchmarking work on top of your work. 
   
   If we decide to on a different approach than the experimented one, we could 
just roll back to a prior commit. 


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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-04-03 Thread via GitHub


friendlymatthew commented on PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#issuecomment-2776384329

   > @friendlymatthew - Running the benchmarks between main and the sidebranch 
would be very helpful - it should give us an idea as to the overhead of the 
format parsing for date32 data.
   
   Sounds great. I'll have some free time tomorrow to work on this.


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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-04-03 Thread via GitHub


Omega359 commented on PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#issuecomment-2775861390

@friendlymatthew - Running the benchmarks between main and the sidebranch 
would be very helpful - it should give us an idea as to the overhead of the 
format parsing for date32 data.


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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-04-02 Thread via GitHub


Omega359 commented on PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#issuecomment-2773790617

   I went ahead and did a quick poc using format parsing, you can see it @ 
https://github.com/Omega359/arrow-datafusion/tree/to_char_date32_with_time_formats
 
(https://github.com/apache/datafusion/compare/main...Omega359:arrow-datafusion:to_char_date32_with_time_formats)
   
   I haven't done a comparison with the benchmark results from main yet.


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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-03-30 Thread via GitHub


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
   ```
   test_date32_to_date64_cast_array_1000: just casts from date32 to date64
   
   test_parse_performance_with_time_specifiers_array_1000: parses the formats 
looking for time specifiers and when found does the cast from date32 to date64
   
   test_parse_performance_without_time_specifiers_array_1000: parses the 
formats looking for time specifiers (doesn't find anything), no cast
   
   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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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-03-30 Thread via GitHub


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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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-03-30 Thread via GitHub


Omega359 commented on code in PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#discussion_r2020170477


##
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:
   It is possible to check for time formats in the format string however I'm 
not sure that cost would be any less than just doing the conversion up front. I 
think we need a benchmark to have quantified data vs assumptions.



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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-03-30 Thread via GitHub


alamb commented on code in PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#discussion_r2020139946


##
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:
   as @Omega359  says, this will now penalize performance for all existing 
Date32 columns
   
   Is there any way we can check if the format string contains any time related 
specifiers before doing this conversion?



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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-03-28 Thread via GitHub


Omega359 commented on code in PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#discussion_r2019547635


##
datafusion/functions/src/datetime/to_char.rs:
##
@@ -277,7 +282,25 @@ fn _to_char_array(args: &[ColumnarValue]) -> 
Result {
 let result = formatter.value(idx).try_to_string();
 match result {
 Ok(value) => results.push(Some(value)),
-Err(e) => return exec_err!("{}", e),
+Err(e) => {
+if data_type == &Date32 {

Review Comment:
   > > Yeah, this is a limitation of arrow-rs currently. I never got around to 
pushing a PR to arrow-rs to change that.
   > 
   > I'd be happy to work on this next, if you'd like.
   
   It would clean things up but I'm not sure if it would be a measurable 
performance improvement or not. Leaning to it not being all that noticeable but 
I'm often wrong :)
   



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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-03-28 Thread via GitHub


friendlymatthew commented on code in PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#discussion_r2019270254


##
datafusion/functions/src/datetime/to_char.rs:
##
@@ -277,7 +282,25 @@ fn _to_char_array(args: &[ColumnarValue]) -> 
Result {
 let result = formatter.value(idx).try_to_string();
 match result {
 Ok(value) => results.push(Some(value)),
-Err(e) => return exec_err!("{}", e),
+Err(e) => {
+if data_type == &Date32 {

Review Comment:
   > Casting Date32 to Date64 should be incredibly cheap I think
   
   I agree, converting involves a cast between primitives and a mult. 
   
   
https://github.com/apache/arrow-rs/blob/206fe024cdd9b9de770714baa27b58a1442fcc75/arrow-cast/src/cast/mod.rs#L1423-L1427
   
   > Yeah, this is a limitation of arrow-rs currently. I never got around to 
pushing a PR to arrow-rs to change that.
   
   I'd be happy to work on this next, if you'd like. 



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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-03-28 Thread via GitHub


Omega359 commented on code in PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#discussion_r2019195514


##
datafusion/functions/src/datetime/to_char.rs:
##
@@ -277,7 +282,25 @@ fn _to_char_array(args: &[ColumnarValue]) -> 
Result {
 let result = formatter.value(idx).try_to_string();
 match result {
 Ok(value) => results.push(Some(value)),
-Err(e) => return exec_err!("{}", e),
+Err(e) => {
+if data_type == &Date32 {

Review Comment:
   I thought about this a bit and was mentally toying with the idea of testing 
the format string(s) for time formats vs just casting always ... and generally 
I don't think it would be worth it at all. Casting Date32 to Date64 should be 
incredibly cheap I think 



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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-03-28 Thread via GitHub


Omega359 commented on code in PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#discussion_r2019198451


##
datafusion/functions/src/datetime/to_char.rs:
##
@@ -277,7 +282,25 @@ fn _to_char_array(args: &[ColumnarValue]) -> 
Result {
 let result = formatter.value(idx).try_to_string();
 match result {
 Ok(value) => results.push(Some(value)),
-Err(e) => return exec_err!("{}", e),
+Err(e) => {
+if data_type == &Date32 {

Review Comment:
   
   > _*The entire `Date32` array because for every format string, we create a 
new `ArrayFormatter` by supplying the entire array and specifying the index for 
the formatter to format:_
   > 
   > 
https://github.com/apache/datafusion/blob/fdb4e848b65c001dd3f65b477296e07cbe8e0b07/datafusion/functions/src/datetime/to_char.rs#L274-L277
   
   Yeah, this is a limitation of arrow-rs currently. I never got around to 
pushing a PR to arrow-rs to change that.



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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-03-26 Thread via GitHub


friendlymatthew commented on code in PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#discussion_r2015455219


##
datafusion/functions/src/datetime/to_char.rs:
##
@@ -277,7 +282,25 @@ fn _to_char_array(args: &[ColumnarValue]) -> 
Result {
 let result = formatter.value(idx).try_to_string();
 match result {
 Ok(value) => results.push(Some(value)),
-Err(e) => return exec_err!("{}", e),
+Err(e) => {
+if data_type == &Date32 {

Review Comment:
   I took another look and reached a different conclusion from above. I fear 
[1e57ed1](https://github.com/apache/datafusion/pull/15361/commits/1e57ed10f03b352fd2588fb8adf011e2f15766bd)
 is performing way too many casts in the retry logic, and it is better to 
implicitly treat `Date32` as timestamps ahead of time.
   
   `to_char` invokes either `to_char_scalar` or `to_char_array` based on the 
number of formats provided in the arguments (i.e. N dates with 1 format string 
or N dates with N format strings). If any of the dates err when formatting, 
we'd cast all N dates as `Date64`s and redo the body of work.
   
   While this would be fine with `to_char_scalar` because a format string with 
a time-specifier would err for any `Date32`, so at worst it'd err, cast, and 
retry after the first format attempt. But in `to_char_array` where we're 
iterating through N format strings, at worst we'd need to recast the _entire_ 
`Date32` array N times*.
   
   Since we can't avoid the `Date32` to `Date64` cast to support this feature, 
it's much simpler to check ahead of time and cast the input `Date32` array into 
a `Date64` array. Plus, all date-specifiers are valid in timestamp formatting, 
so existing features work as expected. 
   
   I pushed 
[ec2373a](https://github.com/apache/datafusion/pull/15361/commits/ec2373a4d58d6e373c6982ac85c6396c5c25d9ea)
 as a proof of concept. But I'd be happy to rework it as you see fit.
   
   
   
   _*The entire `Date32` array because for every format string, we create a new 
`ArrayFormatter` by supplying the entire array and specifying the index for the 
formatter to format:_
   
   
https://github.com/apache/datafusion/blob/fdb4e848b65c001dd3f65b477296e07cbe8e0b07/datafusion/functions/src/datetime/to_char.rs#L274-L277
   
   



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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-03-26 Thread via GitHub


friendlymatthew commented on code in PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#discussion_r2015534358


##
datafusion/functions/src/datetime/to_char.rs:
##
@@ -277,7 +282,25 @@ fn _to_char_array(args: &[ColumnarValue]) -> 
Result {
 let result = formatter.value(idx).try_to_string();
 match result {
 Ok(value) => results.push(Some(value)),
-Err(e) => return exec_err!("{}", e),
+Err(e) => {
+if data_type == &Date32 {

Review Comment:
   > But in to_char_array where we're iterating through N format strings, at 
worst we'd need to recast the entire Date32 array N times.
   
   We _could_ make the `Date32` array `mut` and keep it outside of the loop. 
Then when we encounter the first failed format attempt, we'd cast the date 
array to a `Date64` array and treat the subsequent dates as `Date64`s. This 
way, we limit the cast to only once per batch.
   
   But this adds a lot of unnecessary code complexity. 
   



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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-03-26 Thread via GitHub


friendlymatthew commented on code in PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#discussion_r2015455219


##
datafusion/functions/src/datetime/to_char.rs:
##
@@ -277,7 +282,25 @@ fn _to_char_array(args: &[ColumnarValue]) -> 
Result {
 let result = formatter.value(idx).try_to_string();
 match result {
 Ok(value) => results.push(Some(value)),
-Err(e) => return exec_err!("{}", e),
+Err(e) => {
+if data_type == &Date32 {

Review Comment:
   I took another look and reached a different conclusion from above. I fear 
[1e57ed1](https://github.com/apache/datafusion/pull/15361/commits/1e57ed10f03b352fd2588fb8adf011e2f15766bd)
 is performing way too many casts in the retry logic, and it is better to 
implicitly treat `Date32` as timestamps ahead of time.
   
   `to_char` invokes either `to_char_scalar` or `to_char_array` based on the 
number of formats provided in the arguments (i.e. N dates with 1 format string 
or N dates with N format strings). If any of the dates err when formatting, 
we'd cast all N dates as `Date64`s and redo the body of work.
   
   While this would be fine with `to_char_scalar` because a format string with 
a time-specifier would err for any `Date32`, so at worst it'd err, cast, and 
retry after the first format attempt. But in `to_char_array` where we're 
iterating through N format strings, at worst we'd need to recast the _entire_ 
`Date32` array N times*.
   
   Since we can't avoid the `Date32` to `Date64` cast to support this feature, 
it's much simpler to check ahead of time and cast the input `Date32` array into 
a `Date64` array. Plus, all date-specifiers are valid in timestamp formatting, 
so existing features work as expected. 
   
   I pushed 
[12e2314](https://github.com/apache/datafusion/pull/15361/commits/12e2314edcaa6ae0b7378a1986560b7a123bf3f2)
 as a proof of concept. But I'd be happy to rework it as you see fit.
   
   
   
   _*The entire `Date32` array because for every format string, we create a new 
`ArrayFormatter` by supplying the entire array and specifying the index for the 
formatter to format:_
   
   
https://github.com/apache/datafusion/blob/fdb4e848b65c001dd3f65b477296e07cbe8e0b07/datafusion/functions/src/datetime/to_char.rs#L274-L277
   
   



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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-03-24 Thread via GitHub


friendlymatthew commented on code in PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#discussion_r2009208756


##
datafusion/functions/src/datetime/to_char.rs:
##
@@ -277,7 +282,25 @@ fn _to_char_array(args: &[ColumnarValue]) -> 
Result {
 let result = formatter.value(idx).try_to_string();
 match result {
 Ok(value) => results.push(Some(value)),
-Err(e) => return exec_err!("{}", e),
+Err(e) => {
+if data_type == &Date32 {

Review Comment:
   > I don't understand why this is handling errors -- shouldn't we just 
dispach on type when building the format options?
   
   Sorry. 
   
   I assume you mean detect whether the format options contain time specifiers 
ahead of time and if so cast the `Date32` into a `Date64`. 
   
   Or are you saying avoid the cast altogether? A 
`FormatOption.with_datetime_format()` won't work with `Date32`, as Arrow 
doesn't consider the `datetime_format` field when formatting a `Date32`. 
   
   ```rs
   #[test]
   fn unaffected_format() {
   let date_format = "%Y-%m %H";
   
   let cast_options = CastOptions {
   safe: false,
   format_options: 
FormatOptions::default().with_datetime_format(Some(date_format)),
   };
   
   let array = Date32Array::from(vec![1, 17890]);
   let res = cast_with_options(&array, &DataType::Utf8, &cast_options);
   dbg!(&res); // StringArray(["1997-05-19", "2018-12-25"])
   }
   ```
   
   Initially, I figured if the initial format attempt fails with a `Date32`, 
it'll retry as a `Date64`. This is similar to how [Postgres tries to cast a 
`Date` into an `Interval` and if it fails, it reattempts with a different 
format.](https://github.com/postgres/postgres/blob/58fdca2204de5f683f025df37553e5e69cb6adb1/src/backend/utils/adt/timestamp.c#L920-L929)
   



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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-03-24 Thread via GitHub


alamb commented on code in PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#discussion_r2010730547


##
datafusion/functions/src/datetime/to_char.rs:
##
@@ -277,7 +282,25 @@ fn _to_char_array(args: &[ColumnarValue]) -> 
Result {
 let result = formatter.value(idx).try_to_string();
 match result {
 Ok(value) => results.push(Some(value)),
-Err(e) => return exec_err!("{}", e),
+Err(e) => {
+if data_type == &Date32 {

Review Comment:
   Right now I do find it very hard to understand  all the nested error handling
   
   Perhaps you could pull the retry logic into a function that handles the 
retry and is well documented (I think your description above makes a lot of 
sense, but it is not at all clear from the code in my mind)



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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-03-24 Thread via GitHub


friendlymatthew commented on code in PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#discussion_r2009208756


##
datafusion/functions/src/datetime/to_char.rs:
##
@@ -277,7 +282,25 @@ fn _to_char_array(args: &[ColumnarValue]) -> 
Result {
 let result = formatter.value(idx).try_to_string();
 match result {
 Ok(value) => results.push(Some(value)),
-Err(e) => return exec_err!("{}", e),
+Err(e) => {
+if data_type == &Date32 {

Review Comment:
   > I don't understand why this is handling errors -- shouldn't we just 
dispach on type when building the format options?
   
   Sorry. 
   
   I assume you mean detect whether the format options contain time specifiers 
ahead of time and if so cast the `Date32` into a `Date64`. 
   
   Initially, I figured if the initial format attempt fails with a `Date32`, 
it'll retry as a `Date64`. This is similar to how [Postgres tries to cast a 
`Date` into an `Interval` and if it fails, it reattempts with a different 
format.](https://github.com/postgres/postgres/blob/58fdca2204de5f683f025df37553e5e69cb6adb1/src/backend/utils/adt/timestamp.c#L920-L929)
   



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Re: [PR] Format `Date32` to string given timestamp specifiers [datafusion]

2025-03-23 Thread via GitHub


alamb commented on code in PR #15361:
URL: https://github.com/apache/datafusion/pull/15361#discussion_r200920


##
datafusion/functions/src/datetime/to_char.rs:
##
@@ -277,7 +282,25 @@ fn _to_char_array(args: &[ColumnarValue]) -> 
Result {
 let result = formatter.value(idx).try_to_string();
 match result {
 Ok(value) => results.push(Some(value)),
-Err(e) => return exec_err!("{}", e),
+Err(e) => {
+if data_type == &Date32 {

Review Comment:
   I don't understand why this is handling errors -- shouldn't we just dispach 
on type when building the format options?



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