Java to Kotlin migration fails

Support
1

Hello

I have used IDEA to convert the following Java Spark code to Kotlin (latest version of IDEA and Kotlin 1.3.31)

Here is Java:

	public static void getGuid() {
	    SparkConf conf = new SparkConf().setAppName("Java UDF Example");
	    SparkSession spark = 
	    		SparkSession.builder().enableHiveSupport().config(conf).getOrCreate(); 		
	    spark.udf().register("getguid", 
	    		() -> java.util.UUID.randomUUID().toString(), 
	    		DataTypes.StringType);
	}

	public static void ctof() {
	    SparkConf conf = new SparkConf().setAppName("Java UDF Example");
	    SparkSession spark = 
	    		SparkSession.builder().enableHiveSupport().config(conf).getOrCreate(); 		
	    spark.udf().register("ctof", new UDF1<Double, Double>() {
		      @Override
		      public Double call(Double degreesCelcius) {
		        return ((degreesCelcius * 9.0 / 5.0) + 32.0);
		      }
		    }, DataTypes.DoubleType);		
	}

Here is converted Kotlin:

   fun getGuid() {
        val conf = SparkConf().setAppName("Java UDF Example")
        val spark = SparkSession.builder().enableHiveSupport().config(conf).orCreate

// this does not compile, Overload Resolution Ambiguity

        spark.udf().register("getguid",
                { java.util.UUID.randomUUID().toString() },
                DataTypes.StringType)

    }

    fun ctof() {
        val conf = SparkConf().setAppName("Java UDF Example")
        val spark = SparkSession.builder().enableHiveSupport().config(conf).orCreate
        spark.udf().register("ctof",
                { degreesCelcius -> (degreesCelcius!! as Double) * 9.0 / 5.0 + 32.0 },
                DataTypes.DoubleType)
    }

Here is what I think I need:

public void register(java.lang.String name, org.apache.spark.sql.api.java.UDF0<?> f, org.apache.spark.sql.types.DataType returnType) { /* compiled code */ }

or this ?

 public <RT> org.apache.spark.sql.expressions.UserDefinedFunction 
 register(java.lang.String name, scala.Function0<RT> func, scala.reflect.api.TypeTags.TypeTag<RT> evidence$1)  { /* compiled code */}

In other words nothing goes in and function returns 1 value as out.

I used method reference instead which worked:

        spark.udf().register("getguid",
                UUID.randomUUID()::toString,
                DataTypes.StringType)

Can anyone assist me how to migrate this “ambiguous” call please, I am new to Kotlin.
Can I use another way to do achieve the same result without using method reference?

2

For now please keep the callable reference. This is a known bug, please follow https://youtrack.jetbrains.com/issue/KT-29164 for updates.