[jira] [Created] (SPARK-28480) Types of input parameters of a UDF affect the ability to cache the result

["Ivan Tsukanov (JIRA)" <ji...@apache.org>]

Ivan Tsukanov created SPARK-28480:
-------------------------------------

             Summary: Types of input parameters of a UDF affect the ability to cache the result
                 Key: SPARK-28480
                 URL: https://issues.apache.org/jira/browse/SPARK-28480
             Project: Spark
          Issue Type: Bug
          Components: Spark Core
    Affects Versions: 2.3.1
            Reporter: Ivan Tsukanov


When I define a parameter in a UDF as Boolean or Int the result DataFrame can't be cached

 

 
{code:java}
import org.apache.spark.sql.functions.{lit, udf}
val empty = sparkSession.emptyDataFrame
val table = "table"

def test(customUDF: UserDefinedFunction, col: Column): Unit = {
  val df = empty.select(customUDF(col))
  df.cache()
  df.createOrReplaceTempView(table)
  println(sparkSession.catalog.isCached(table))
}

test(udf { _: String => 42 }, lit("")) // true
test(udf { _: Any => 42 }, lit("")) // true
test(udf { _: Int => 42 }, lit(42)) // false
test(udf { _: Boolean => 42 }, lit(false)) // false
{code}
or sparkSession.catalog.isCached gives irrelevant information.



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