Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/9766#discussion_r83057132
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/UDFRegistration.scala ---
@@ -414,6 +418,84 @@ class UDFRegistration private[sql] (functionRegistry:
FunctionRegistry) extends
//////////////////////////////////////////////////////////////////////////////////////////////
/**
+ * Register a Java UDF class using reflection, for use from pyspark
+ *
+ * @param name udf name
+ * @param className fully qualified class name of udf
+ * @param returnDataType return type of udf. If it is null, spark would
try to infer
+ * via reflection.
+ */
+ def registerJava(name: String, className: String, returnDataType:
DataType): Unit = {
--- End diff --
Is it possible to make this non-public? I believe we do this in other
cases for code only called from python.
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