为什么array\u在SQL中包含两个参数的accept列,但在Dataset API中不包含?

我一直在复习关于 array_contains (和 isin )方法,但我仍然无法回答以下问题:

为什么 array\u包含 在SQL中,是否接受列(引用)作为其参数,而标准函数不接受?

我可以理解,上述问题很容易被标记为“主要基于意见”或类似问题,因此让我将其重新表述为:

如何使用 array\u包含 标准函数,以便它接受列中的参数(值)?

scala> spark.version
res0: String = 2.3.0

val codes = Seq(
  (Seq(1, 2, 3), 2),
  (Seq(1), 1),
  (Seq.empty[Int], 1),
  (Seq(2, 4, 6), 0)).toDF("codes", "cd")
scala> codes.show
+---------+---+
|    codes| cd|
+---------+---+
|[1, 2, 3]|  2|
|      [1]|  1|
|       []|  1|
|[2, 4, 6]|  0|
+---------+---+

// array_contains in SQL mode works with arguments being columns
val q = codes.where("array_contains(codes, cd)")
scala> q.show
+---------+---+
|    codes| cd|
+---------+---+
|[1, 2, 3]|  2|
|      [1]|  1|
+---------+---+

// array_contains standard function with Columns does NOT work. Why?!
// How to change it so it would work (without reverting to SQL expr)?
scala> val q = codes.where(array_contains($"codes", $"cd"))
java.lang.RuntimeException: Unsupported literal type class org.apache.spark.sql.ColumnName cd
  at org.apache.spark.sql.catalyst.expressions.Literal$.apply(literals.scala:77)
  at org.apache.spark.sql.functions$.array_contains(functions.scala:2988)
  ... 49 elided