Pajaraja commented on code in PR #49955:
URL: https://github.com/apache/spark/pull/49955#discussion_r1968084349


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sql/core/src/main/scala/org/apache/spark/sql/execution/basicPhysicalOperators.scala:
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@@ -714,6 +717,177 @@ case class UnionExec(children: Seq[SparkPlan]) extends 
SparkPlan {
     copy(children = newChildren)
 }
 
+/**
+ * The physical node for recursion. Currently only UNION ALL case is supported.
+ * For the details about the execution, look at the comment above doExecute 
function.
+ *
+ * A simple recursive query:
+ * {{{
+ * WITH RECURSIVE t(n) AS (
+ *     SELECT 1
+ *     UNION ALL
+ *     SELECT n+1 FROM t WHERE n < 5)
+ * SELECT * FROM t;
+ * }}}
+ * Corresponding logical plan for the recursive query above:
+ * {{{
+ * WithCTE
+ * :- CTERelationDef 0, false
+ * :  +- SubqueryAlias t
+ * :     +- Project [1#0 AS n#3]
+ * :        +- UnionLoop 0
+ * :           :- Project [1 AS 1#0]
+ * :           :  +- OneRowRelation
+ * :           +- Project [(n#1 + 1) AS (n + 1)#2]
+ * :              +- Filter (n#1 < 5)
+ * :                 +- SubqueryAlias t
+ * :                    +- Project [1#0 AS n#1]
+ * :                       +- UnionLoopRef 0, [1#0], false
+ * +- Project [n#3]
+ * +- SubqueryAlias t
+ * +- CTERelationRef 0, true, [n#3], false, false
+ * }}}
+ *
+ * @param loopId This is id of the CTERelationDef containing the recursive 
query. Its value is
+ *               first passed down to UnionLoop when creating it, and then to 
UnionLoopExec in
+ *               SparkStrategies.
+ * @param anchor The logical plan of the initial element of the loop.
+ * @param recursion The logical plan that describes the recursion with an 
[[UnionLoopRef]] node.
+ *                  CTERelationRef, which is marked as recursive, gets 
substituted with
+ *                  [[UnionLoopRef]] in ResolveWithCTE.
+ *                  Both anchor and recursion are marked with @transient 
annotation, so that they
+ *                  are not serialized.
+ * @param output The output attributes of this loop.
+ * @param limit If defined, the total number of rows output by this operator 
will be bounded by
+ *              limit.
+ *              Its value is pushed down to UnionLoop in Optimizer in case 
Limit node is present
+ *              in the logical plan and then transferred to UnionLoopExec in 
SparkStrategies.
+ *              Note here: limit can be applied in the main query calling the 
recursive CTE, and not
+ *              inside the recursive term of recursive CTE.
+ */
+case class UnionLoopExec(
+    loopId: Long,
+    @transient anchor: LogicalPlan,
+    @transient recursion: LogicalPlan,
+    override val output: Seq[Attribute],
+    limit: Option[Int] = None) extends LeafExecNode {
+
+  override def innerChildren: Seq[QueryPlan[_]] = Seq(anchor, recursion)

Review Comment:
   Could you please elaborate what you mean by this, please? To me this makes 
sense that these are inner children as they represent subqueries, but I don't 
completely understand the difference between children and innerChildren.



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