Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/18447#discussion_r124470787
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala ---
@@ -209,6 +209,18 @@ class DataFrameFunctionsSuite extends QueryTest with
SharedSQLContext {
Row(2743272264L, 2180413220L))
}
+ test("misc data_type function") {
+ val df = Seq(("a", false)).toDF("a", "b")
+
+ checkAnswer(
+ df.select(data_type($"a"), data_type($"b")),
--- End diff --
I think we can easily get the types via
```scala
val df = Seq(("a", false)).toDF("a", "b")
df.schema.map(_.dataType.simpleString)
```
I just wonder in which case we need these type per each row in the
dataframe.
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