rafafrdz commented on code in PR #17485:
URL: https://github.com/apache/datafusion/pull/17485#discussion_r2341172796
##########
datafusion/spark/src/function/url/parse_url.rs:
##########
@@ -47,23 +46,7 @@ impl Default for ParseUrl {
impl ParseUrl {
pub fn new() -> Self {
Self {
- signature: Signature::one_of(
- vec![
- TypeSignature::Uniform(
- 1,
- vec![DataType::Utf8View, DataType::Utf8,
DataType::LargeUtf8],
- ),
- TypeSignature::Uniform(
- 2,
- vec![DataType::Utf8View, DataType::Utf8,
DataType::LargeUtf8],
- ),
- TypeSignature::Uniform(
- 3,
- vec![DataType::Utf8View, DataType::Utf8,
DataType::LargeUtf8],
- ),
- ],
- Volatility::Immutable,
- ),
+ signature: Signature::user_defined(Volatility::Immutable),
Review Comment:
After rereading this several times, my understanding is that when you pass a
dictionary array whose values are strings, DataFusion attempts to match it
against the `String` signature. However, `parse_url` is defined to accept only
**plain string** arguments
[ref](https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.functions.parse_url.html).
It does not expect any dictionary inputs.
We mark the UDF’s signature as `user_defined` to enable coercion across
string types (`Utf8`, `Utf8View`, `LargeUtf8`), but a dictionary array is still
not a string type, so it isn’t coerced, and the call won’t match.
In short, even if the `String` signature seems to "capture" dictionaries
with string values, `parse_url` will still reject them because the underlying
physical type is a dictionary, not a string
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