cloud-fan 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_r400201722
##########
File path: sql/core/src/main/scala/org/apache/spark/sql/functions.scala
##########
@@ -4864,9 +4864,12 @@ 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."
+ "To get rid of this error, you could:\n" +
+ "1. use typed Scala UDF APIs, e.g. `udf((x: Int) => x)`\n" +
+ "2. use Java UDF APIs, e.g. `udf(new UDF1[String, Int] { override def
call(s: String): " +
Review comment:
does Java UDF support scala `Int`?
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
With regards,
Apache Git Services
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
