ch-sc commented on code in PR #14523:
URL: https://github.com/apache/datafusion/pull/14523#discussion_r1967699042
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datafusion/expr/src/udf.rs:
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@@ -717,9 +722,18 @@ pub trait ScalarUDFImpl: Debug + Send + Sync {
///
/// If the function is `ABS(a)`, and the input interval is `a: [-3, 2]`,
/// then the output interval would be `[0, 3]`.
- fn evaluate_bounds(&self, _input: &[&Interval]) -> Result<Interval> {
- // We cannot assume the input datatype is the same of output type.
- Interval::make_unbounded(&DataType::Null)
+ fn evaluate_bounds(&self, input: &[&Interval]) -> Result<Interval> {
Review Comment:
This should work similar to what we do in PhysicalExpr. By default, this is
not supported, but every UDF can implement its own version of bounds
evaluation.
`evaluate_bounds` in ScalarUDFImpl returns an unbounded Interval which is
not helpful for statistics. This is rather a leftover of my attempt to make use
of known bounds as much as possible and ignore null bounds. We should probably
throw a not implemented error here as well.
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