sam-1112 commented on code in PR #5359:
URL: https://github.com/apache/datafusion-comet/pull/5359#discussion_r3791848205
##########
spark/src/main/scala/org/apache/comet/serde/CometScalarFunction.scala:
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@@ -21,14 +21,53 @@ package org.apache.comet.serde
import org.apache.spark.sql.catalyst.expressions.{Attribute, Expression}
+import org.apache.comet.CometSparkSessionExtensions.withFallbackReason
import org.apache.comet.serde.ExprOuterClass.Expr
import org.apache.comet.serde.QueryPlanSerde.{exprToProtoInternal,
scalarFunctionExprToProto}
/** Serde for scalar function. */
case class CometScalarFunction[T <: Expression](name: String) extends
CometExpressionSerde[T] {
override def convert(expr: T, inputs: Seq[Attribute], binding: Boolean):
Option[Expr] = {
+ if (CometScalarFunction.isAnsiSensitive(expr)) {
+ withFallbackReason(
+ expr,
+ s"${expr.nodeName} carries failOnError/evalMode/nullOnOverflow and
cannot use " +
+ s"CometScalarFunction('$name'). Prefer name-based ANSI/try variants
" +
+ "(e.g. parse_url / try_parse_url), or a custom serde with " +
+ "scalarFunctionExprToProtoWithReturnType plus a native match arm
that " +
+ "consumes fail_on_error.")
+ return None
+ }
val childExpr = expr.children.map(exprToProtoInternal(_, inputs, binding))
val optExpr = scalarFunctionExprToProto(name, childExpr: _*)
optExpr
}
}
+
+object CometScalarFunction {
+
+ /** Product field names that indicate ANSI / eval-mode sensitive Spark
expressions. */
+ private val AnsiSensitiveFields: Set[String] =
+ Set("failOnError", "evalMode", "nullOnOverflow")
+
+ /**
+ * True when the Spark expression case class declares an ANSI-related
constructor field. Used to
+ * reject miswiring via plain [[CometScalarFunction]].
+ */
+ private[serde] def isAnsiSensitive(expr: Expression): Boolean = {
+ expr match {
+ case p: Product =>
+ p.productElementNames.exists(AnsiSensitiveFields.contains)
Review Comment:
Fixed. I removed `Product.productElementNames` and now detect ANSI-sensitive
fields with Java reflection (`Class.getDeclaredFields`, walking superclasses).
That compiles on both Scala 2.12 and 2.13. Verified with `./mvnw -pl spark -am
compile -DskipTests -Pspark-3.4` using JDK 11.
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