[SPARK-32616][SQL] Window operators should be added determinedly

### What changes were proposed in this pull request?

Use the `LinkedHashMap` instead of `immutable.Map` to hold the `Window` expressions in `ExtractWindowExpressions.addWindow`.

### Why are the changes needed?

This is a bug fix for apache#29270. In that PR, the generated plan(especially for the queries q47, q49, q57) on Jenkins always can not match the golden plan generated on my laptop.

It happens because `ExtractWindowExpressions.addWindow` now uses `immutable.Map` to hold the `Window` expressions by the key `(spec.partitionSpec, spec.orderSpec, WindowFunctionType.functionType(expr))` and converts the map to `Seq` at the end. Then, the `Seq` is used to add Window operators on top of the child plan. However, for the same query, the order of Windows expression inside the `Seq` could be undetermined when the expression id changes(which can affect the key). As a result, the same query could have different plans because of the undetermined order of Window operators.

Therefore, we use `LinkedHashMap`, which records the insertion order of entries, to make the adding order determined.

### Does this PR introduce _any_ user-facing change?

Maybe yes, users now always see the same plan for the same queries with multiple Window operators.

### How was this patch tested?

It's really hard to make a reproduce demo. I just tested manually with apache#29270 and it looks good.

Closes apache#29432 from Ngone51/fix-addWindow.

Authored-by: yi.wu <yi.wu@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>

Author: Ngone51

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala

@@ -2552,6 +2552,8 @@ class Analyzer(
    *    [[Window]] operator and inserts it into the plan tree.
    */
   object ExtractWindowExpressions extends Rule[LogicalPlan] {
+    type Spec = (Seq[Expression], Seq[SortOrder], WindowFunctionType)
+
     private def hasWindowFunction(exprs: Seq[Expression]): Boolean =
       exprs.exists(hasWindowFunction)
 
@@ -2696,8 +2698,11 @@ class Analyzer(
         }.asInstanceOf[NamedExpression]
       }
 
+      // SPARK-32616: Use a linked hash map to maintains the insertion order of the Window
+      // operators, so the query with multiple Window operators can have the determined plan.
+      val groupedWindowExpressions = mutable.LinkedHashMap.empty[Spec, ArrayBuffer[NamedExpression]]
       // Second, we group extractedWindowExprBuffer based on their Partition and Order Specs.
-      val groupedWindowExpressions = extractedWindowExprBuffer.groupBy { expr =>
+      extractedWindowExprBuffer.foreach { expr =>
         val distinctWindowSpec = expr.collect {
           case window: WindowExpression => window.windowSpec
         }.distinct
@@ -2713,9 +2718,12 @@ class Analyzer(
             s"Please file a bug report with this error message, stack trace, and the query.")
         } else {
           val spec = distinctWindowSpec.head
-          (spec.partitionSpec, spec.orderSpec, WindowFunctionType.functionType(expr))
+          val specKey = (spec.partitionSpec, spec.orderSpec, WindowFunctionType.functionType(expr))
+          val windowExprs = groupedWindowExpressions
+            .getOrElseUpdate(specKey, new ArrayBuffer[NamedExpression])
+          windowExprs += expr
         }
-      }.toSeq
+      }
 
       // Third, we aggregate them by adding each Window operator for each Window Spec and then
       // setting this to the child of the next Window operator.