Github user yhuai commented on a diff in the pull request: https://github.com/apache/spark/pull/10266#discussion_r47391422 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/ScalaUDF.scala --- @@ -1029,24 +1029,27 @@ case class ScalaUDF( // such as IntegerType, its javaType is `int` and the returned type of user-defined // function is Object. Trying to convert an Object to `int` will cause casting exception. val evalCode = evals.map(_.code).mkString - val funcArguments = converterTerms.zipWithIndex.map { - case (converter, i) => - val eval = evals(i) - val dt = children(i).dataType - s"$converter.apply(${eval.isNull} ? null : (${ctx.boxedType(dt)}) ${eval.value})" - }.mkString(",") - val callFunc = s"${ctx.boxedType(ctx.javaType(dataType))} $resultTerm = " + - s"(${ctx.boxedType(ctx.javaType(dataType))})${catalystConverterTerm}" + - s".apply($funcTerm.apply($funcArguments));" + val (converters, funcArguments) = converterTerms.zipWithIndex.map { case (converter, i) => + val eval = evals(i) + val argTerm = ctx.freshName("arg") + val convert = s"Object $argTerm = ${eval.isNull} ? null : $converter.apply(${eval.value});" + (convert, argTerm) + }.unzip - evalCode + s""" - ${ctx.javaType(dataType)} ${ev.value} = ${ctx.defaultValue(dataType)}; - Boolean ${ev.isNull}; + val callFunc = s"${ctx.boxedType(dataType)} $resultTerm = " + + s"(${ctx.boxedType(dataType)})${catalystConverterTerm}" + + s".apply($funcTerm.apply(${funcArguments.mkString(", ")}));" + s""" + $evalCode + ${converters.mkString("\n")} $callFunc - ${ev.value} = $resultTerm; - ${ev.isNull} = $resultTerm == null; + boolean ${ev.isNull} = $resultTerm == null; + ${ctx.javaType(dataType)} ${ev.value} = ${ctx.defaultValue(dataType)}; + if (!${ev.isNull}) { + ${ev.value} = $resultTerm; --- End diff -- My understanding is that he was trying to explain the NPE reported by @markhamstra.
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