andygrove commented on code in PR #3757:
URL: https://github.com/apache/datafusion-comet/pull/3757#discussion_r2971648120
##########
spark/src/main/scala/org/apache/comet/serde/aggregates.scala:
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@@ -671,6 +672,62 @@ object CometBloomFilterAggregate extends
CometAggregateExpressionSerde[BloomFilt
}
}
+object CometPercentile extends CometAggregateExpressionSerde[Percentile] {
+ override def convert(
+ aggExpr: AggregateExpression,
+ expr: Percentile,
+ inputs: Seq[Attribute],
+ binding: Boolean,
+ conf: SQLConf): Option[ExprOuterClass.AggExpr] = {
+
+ // Only support when frequency is Literal(1L) - i.e., percentile_cont
behavior
+ expr.frequencyExpression match {
+ case Literal(1L, LongType) =>
+ case _ =>
+ withInfo(aggExpr, "weighted percentile not supported")
+ return None
+ }
+
+ // Only support scalar percentile, not array of percentiles
+ if (expr.percentageExpression.dataType.isInstanceOf[ArrayType]) {
+ withInfo(aggExpr, "array of percentiles not supported")
+ return None
+ }
+
+ // Support numeric types and interval types
+ expr.child.dataType match {
+ case _: NumericType =>
+ case _: DecimalType =>
Review Comment:
The match on `DecimalType` is unreachable (because `NumericType` already
handles it)
```suggestion
```
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