gatorsmile commented on a change in pull request #27488:
[SPARK-31010][SQL][ML][FOLLOW-UP] Throw exception when use untyped UDF by
default
URL: https://github.com/apache/spark/pull/27488#discussion_r390032075
##########
File path: sql/core/src/main/scala/org/apache/spark/sql/functions.scala
##########
@@ -4732,6 +4732,15 @@ object functions {
* @since 2.0.0
*/
def udf(f: AnyRef, dataType: DataType): UserDefinedFunction = {
+ if (!SQLConf.get.getConf(SQLConf.LEGACY_ALLOW_UNTYPED_SCALA_UDF)) {
+ val errorMsg = "You're using untyped Scala UDF, which does not have the
input type " +
+ "information. Spark may blindly pass null to the Scala closure with
primitive-type " +
+ "argument, and the closure will see the default value of the Java type
for the null " +
+ "argument, e.g. `udf((x: Int) => x, IntegerType)`, the result is 0 for
null input. " +
+ "You could use other typed Scala UDF APIs to avoid this problem, or
set " +
Review comment:
In the error message, we should give an example to show how to use the typed
Scala UDF for implementing "udf((x: Int) => x, IntegerType)"
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