cloud-fan commented on code in PR #49471:
URL: https://github.com/apache/spark/pull/49471#discussion_r1984468771


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/SessionCatalog.scala:
##########
@@ -1675,6 +1676,86 @@ class SessionCatalog(
     }
   }
 
+  /**
+   * Constructs a SQL table function plan.
+   * This function should be invoked with the captured SQL configs from the 
function.
+   *
+   * Example SQL table function:
+   *
+   *   CREATE FUNCTION foo(x INT) RETURNS TABLE(a INT) RETURN SELECT x + 1 AS 
x1
+   *
+   * Query:
+   *
+   *   SELECT * FROM foo(1);
+   *
+   * Plan:
+   *
+   *   Project [CAST(x1 AS INT) AS a]
+   *   +- LateralJoin lateral-subquery [x]
+   *      :  +- Project [(outer(x) + 1) AS x1]
+   *      :     +- OneRowRelation
+   *      +- Project [CAST(1 AS INT) AS x]
+   *         +- OneRowRelation
+   */
+  def makeSQLTableFunctionPlan(
+      name: String,
+      function: SQLFunction,
+      input: Seq[Expression],
+      outputAttrs: Seq[Attribute]): LogicalPlan = {
+    assert(function.isTableFunc)
+    val funcName = function.name.funcName
+    val inputParam = function.inputParam
+    val returnParam = function.getTableFuncReturnCols
+    val (_, query) = function.getExpressionAndQuery(parser, isTableFunc = true)
+    assert(query.isDefined)
+
+    // Check function arguments
+    val paramSize = inputParam.map(_.size).getOrElse(0)
+    if (input.size > paramSize) {
+      throw QueryCompilationErrors.wrongNumArgsError(
+        name, paramSize.toString, input.size)
+    }
+
+    val body = if (inputParam.isDefined) {
+      val param = inputParam.get
+      // Attributes referencing the input parameters inside the function can 
use the
+      // function name as a qualifier.
+      val qualifier = Seq(funcName)
+      val paddedInput = input ++
+        param.takeRight(paramSize - input.size).map { p =>

Review Comment:
   This looks like dead code, `SQLTableFunction` is created by 
`SessionCatalog#makeSQLTableFunctionBuilder`, which already handles by-name 
parameters and fills default values. If there are missing parameters that has 
no default value, it should already failed: 
https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/FunctionBuilderBase.scala#L192-L193



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