Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/17848#discussion_r128657154
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/UDFRegistration.scala ---
@@ -130,460 +138,507 @@ class UDFRegistration private[sql]
(functionRegistry: FunctionRegistry) extends
val version = if (i == 0) "2.3.0" else "1.3.0"
val funcCall = if (i == 0) "() => func" else "func"
println(s"""
- |/**
- | * Register a user-defined function with ${i} arguments.
- | * @since $version
- | */
- |def register(name: String, f: UDF$i[$extTypeArgs], returnType:
DataType): Unit = {
- | val func = f$anyCast.call($anyParams)
- | def builder(e: Seq[Expression]) = if (e.length == $i) {
- | ScalaUDF($funcCall, returnType, e)
- | } else {
- | throw new AnalysisException("Invalid number of arguments for
function " + name +
- | ". Expected: $i; Found: " + e.length)
- | }
- | functionRegistry.createOrReplaceTempFunction(name, builder)
- |}""".stripMargin)
+ |/**
+ | * Registers a deterministic user-defined function with ${i}
arguments.
+ | * @since $version
+ | */
+ |def register(name: String, f: UDF$i[$extTypeArgs], returnType:
DataType): Unit = {
+ | register(name, f, returnType, deterministic = true)
+ |}
+ |
+ |/**
+ | * Registers a user-defined function with ${i} arguments.
+ | * @since 2.3.0
+ | */
+ |def register(name: String, f: UDF$i[$extTypeArgs], returnType:
DataType, deterministic: Boolean): Unit = {
--- End diff --
So far, the impl of `def udf(f: AnyRef, dataType: DataType)` does not
support Java UDF
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