[GitHub] [spark] viirya commented on a change in pull request #25130: [SPARK-28359][test-maven][SQL][PYTHON][TESTS] Make integrated UDF tests robust by making UDFs (virtually) no-op

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viirya commented on a change in pull request #25130: [SPARK-28359][test-maven][SQL][PYTHON][TESTS] Make integrated UDF tests robust by making UDFs (virtually) no-op
URL: https://github.com/apache/spark/pull/25130#discussion_r302853052
 
 

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 File path: sql/core/src/test/scala/org/apache/spark/sql/IntegratedUDFTestUtils.scala
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 @@ -35,8 +36,9 @@ import org.apache.spark.sql.types.StringType
  * This object targets to integrate various UDF test cases so that Scalar UDF, Python UDF and
  * Scalar Pandas UDFs can be tested in SBT & Maven tests.
  *
- * The available UDFs cast input to strings, which take one column as input and return a string
- * type column as output.
+ * The available UDFs are special. It defines an UDF wrapped by cast. So, Input column is casted
+ * into string, UDF returns strings as are, and then output column is casted back to the input
+ * column. In this way, UDF is virtually no-op.
 
 Review comment:
   Yeah, I think it makes more sense.

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