[SPARK-45242][SQL][FOLLOWUP] Canonicalize DataFrame ID in CollectMetrics

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

In #43010, a new DataFrameId field is added to `CollectMetrics`. We should also canonicalize the new DataFrame id field to avoid downstream plan comparison failures.

### Why are the changes needed?

avoid downstream plan comparison failures.

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

No

### How was this patch tested?

UT

### Was this patch authored or co-authored using generative AI tooling?

NO

Closes #43594 from amaliujia/do_not_canonicalize_dataframe_id.

Authored-by: Rui Wang <rui.wang@databricks.com>
Signed-off-by: Gengliang Wang <gengliang@apache.org>

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala

@@ -1983,6 +1983,10 @@ case class CollectMetrics(
 
   override protected def withNewChildInternal(newChild: LogicalPlan): CollectMetrics =
     copy(child = newChild)
+
+  override def doCanonicalize(): LogicalPlan = {
+    super.doCanonicalize().asInstanceOf[CollectMetrics].copy(dataframeId = 0L)
+  }
 }
 
 /**

sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/AnalysisSuite.scala

@@ -903,6 +903,11 @@ class AnalysisSuite extends AnalysisTest with Matchers {
     )
   }
 
+  test("Canonicalize CollectMetrics") {
+    assert(CollectMetrics("", Seq(Rand(10).as("rnd")), testRelation, 1).canonicalized ==
+      CollectMetrics("", Seq(Rand(10).as("rnd")), testRelation, 2).canonicalized)
+  }
+
   test("Analysis exceed max iterations") {
     // RuleExecutor only throw exception or log warning when the rule is supposed to run
     // more than once.