如何在Spark中将non dataframe参数传递给udf

Question

Can any please help to know how to pass the non dataframe value as an argument to udf.

val df2 = df1.withColumn("newcol", udffunc(df1("col1"), x)).

The udf function i defined as below.

udffunc = udf(method _)

Method i defined as below.

def method(inputvar1: String, inputvar2: String): Option[Long] = {
  ...
  ...
  return Longvariable
}

Answer 1

I am able to fix the issue by just writing the below code for UDF.

def udffunc = udf((y:String) => {
    val format:String = "x"
    method(y, "x")
  })

So with this, I am able to pass one argument(dataframe column) from .withColumn to the UDF function udffunc and then am able to pass external argument which is "x" in the above example to the function named as "method".