tlfua opened a new issue, #7453:
URL: https://github.com/apache/datafusion-comet/issues/7453

   ### Describe the bug
   
   In `read_side_padding.rs`, the three-argument arm (`[Array, Scalar(Int32), 
Scalar(Utf8)]`) ignores the pad string when the input is a dictionary array. 
The `Utf8` and `LargeUtf8` branches pass `string` to 
`spark_read_side_padding_internal`, but both `Dictionary` branches pass 
`SPACE`. So `rpad`/`lpad` with a custom pad pads with spaces instead.
   
   
https://github.com/apache/datafusion-comet/blob/644a8708839270d382a78715fca7e2b724143588/native/spark-expr/src/static_invoke/char_varchar_utils/read_side_padding.rs#L115-L132
   
   ### Steps to reproduce
   
   Kernel-level, on `main` at 644a87088:
   
   ```rust
   let dict: DictionaryArray<Int32Type> = vec!["ab", 
"ab"].into_iter().collect();
   let args = vec![
       ColumnarValue::Array(Arc::new(dict)),
       ColumnarValue::Scalar(ScalarValue::Int32(Some(5))),
       ColumnarValue::Scalar(ScalarValue::Utf8(Some("x".to_string()))),
   ];
   spark_rpad(&args) // ["ab   ", "ab   "]
   ```
   
   I couldn't find a SQL query that reaches this today. The native scan input 
unpacks dictionary-encoded strings (see `test_unpack_dictionary_string` in 
`planner.rs`), and the existing `string_rpad.sql` tests with a custom pad pass. 
So this looks latent, but it would give silent wrong results if a dictionary 
array ever reaches the kernel, which is what the `Dictionary` arm (added for 
SPARK-48498) is there for.
   
   ### Expected behavior
   
   `["abxxx", "abxxx"]`, the same as for a `Utf8` input.
   
   ### Additional context
   
   Found while reviewing my change for #7245 (PR #7450). The fix is to pass 
`string` instead of `SPACE` in the two `Dictionary` branches and add a unit 
test with a dictionary input and a non-space pad.
   
   ### Willingness to contribute
   
   I can contribute a fix for this bug independently
   
   AI disclosure: this issue was investigated and written with an AI coding 
assistant, and reviewed by me.
   


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