Ngone51 commented on a change in pull request #28070: [SPARK-31010][SQL] Add 
Java UDF suggestion in error message of untyped Scala UDF
URL: https://github.com/apache/spark/pull/28070#discussion_r400205939
 
 

 ##########
 File path: sql/core/src/main/scala/org/apache/spark/sql/functions.scala
 ##########
 @@ -4864,9 +4864,10 @@ object functions {
         "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 typed Scala UDF APIs (e.g. `udf((x: Int) => x)`) to 
avoid this problem, " +
-        s"or set ${SQLConf.LEGACY_ALLOW_UNTYPED_SCALA_UDF.key} to true and use 
this API with " +
-        s"caution."
+        "You could use typed Scala UDF APIs (e.g. `udf((x: Int) => x)`) or 
Java UDF (e.g. " +
+        "`udf(new UDF1[String, Int] { override def call(s: String): Int = 
s.length() }, " +
 
 Review comment:
   Yes.

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