cloud-fan commented on code in PR #38034:
URL: https://github.com/apache/spark/pull/38034#discussion_r1070213329


##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala:
##########
@@ -618,6 +618,165 @@ abstract class TreeNode[BaseType <: TreeNode[BaseType]] 
extends Product with Tre
     }
   }
 
+  /**
+   * Returns alternative copies of this node where `rule` has been recursively 
applied to the tree.
+   *
+   * Users should not expect a specific directionality. If a specific 
directionality is needed,
+   * multiTransformDown or multiTransformUp should be used.
+   *
+   * @param rule a function used to generate transformed alternatives for a 
node
+   * @return     the stream of alternatives
+   */
+  def multiTransform(rule: PartialFunction[BaseType, Seq[BaseType]]): 
Stream[BaseType] = {
+    multiTransformDown(rule)
+  }
+
+  /**
+   * Returns alternative copies of this node where `rule` has been recursively 
applied to the tree.
+   *
+   * Users should not expect a specific directionality. If a specific 
directionality is needed,
+   * multiTransformDownWithPruning or multiTransformUpWithPruning should be 
used.
+   *
+   * @param rule   a function used to generate transformed alternatives for a 
node
+   * @param cond   a Lambda expression to prune tree traversals. If 
`cond.apply` returns false
+   *               on a TreeNode T, skips processing T and its subtree; 
otherwise, processes
+   *               T and its subtree recursively.
+   * @param ruleId is a unique Id for `rule` to prune unnecessary tree 
traversals. When it is
+   *               UnknownRuleId, no pruning happens. Otherwise, if `rule` 
(with id `ruleId`)
+   *               has been marked as in effective on a TreeNode T, skips 
processing T and its
+   *               subtree. Do not pass it if the rule is not purely 
functional and reads a
+   *               varying initial state for different invocations.
+   * @return       the stream of alternatives
+   */
+  def multiTransformWithPruning(
+      cond: TreePatternBits => Boolean,
+      ruleId: RuleId = UnknownRuleId
+    )(rule: PartialFunction[BaseType, Seq[BaseType]]): Stream[BaseType] = {
+    multiTransformDownWithPruning(cond, ruleId)(rule).map(_._1)
+  }
+
+  /**
+   * Returns alternative copies of this node where `rule` has been recursively 
applied to it and all
+   * of its children (pre-order).
+   *
+   * @param rule the function used to generate transformed alternatives for a 
node
+   * @return     the stream of alternatives
+   */
+  def multiTransformDown(rule: PartialFunction[BaseType, Seq[BaseType]]): 
Stream[BaseType] = {
+    multiTransformDownWithPruning(AlwaysProcess.fn, 
UnknownRuleId)(rule).map(_._1)
+  }
+
+  /**
+   * Returns alternative copies of this node where `rule` has been recursively 
applied to it and all
+   * of its children (pre-order).
+   *
+   * As it is very easy to generate enormous number of alternatives when the 
input tree is huge or
+   * when the rule returns large number of alternatives, this function returns 
the alternatives as a
+   * lazy `Stream` to be able to limit the number of alternatives generated at 
the caller side as
+   * needed.
+   *
+   * To indicate that the original node without any transformation is a valid 
alternative the rule
+   * can either:
+   * - not apply or
+   * - return an empty `Seq` or
+   * - a `Seq` that contains a node that is equal to the original node.
+   *
+   * Please note that this function always consider the original node as a 
valid alternative (even
+   * if the original node is not included in the returned `Seq`) if the rule 
can transform any of
+   * the descendants of the node. E.g. consider a simple expression:
+   *   `Add(a, b)`
+   * and a rule that returns:
+   *   `Seq(1, 2)` for `a` and
+   *   `Seq(10, 20)` for `b` and
+   *   `Seq(11, 12, 21, 22)` for `Add(a, b)` (note that the original `Add(a, 
b)` is not returned)
+   * then the result of `multiTransform` is:
+   *   `Seq(11, 12, 21, 22, Add(1, 10), Add(2, 10), Add(1, 20), Add(2, 20))`.
+   * This feature makes the usage of `multiTransform` easier as a non-leaf 
transforming rule doesn't
+   * need to take into account that it can transform a descendant node of the 
non-leaf node as well
+   * and so it doesn't need return the non-leaf node itself in the list of 
alternatives to not stop
+   * generating alternatives.
+   *
+   * @param rule   a function used to generate transformed alternatives for a 
node
+   * @param cond   a Lambda expression to prune tree traversals. If 
`cond.apply` returns false
+   *               on a TreeNode T, skips processing T and its subtree; 
otherwise, processes
+   *               T and its subtree recursively.
+   * @param ruleId is a unique Id for `rule` to prune unnecessary tree 
traversals. When it is
+   *               UnknownRuleId, no pruning happens. Otherwise, if `rule` 
(with id `ruleId`)
+   *               has been marked as in effective on a TreeNode T, skips 
processing T and its
+   *               subtree. Do not pass it if the rule is not purely 
functional and reads a
+   *               varying initial state for different invocations.
+   * @return       the stream of alternatives with a flag if any 
transformation was done

Review Comment:
   It's not very clear to me that why we need this bool flag.



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