ulysses-you commented on a change in pull request #32602:
URL: https://github.com/apache/spark/pull/32602#discussion_r636165023



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File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/ConvertToLocalRelation.scala
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@@ -0,0 +1,32 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.execution.adaptive
+
+import org.apache.spark.sql.catalyst.plans.logical.{LocalRelation, LogicalPlan}
+import org.apache.spark.sql.catalyst.rules.Rule
+
+/**
+ * Converts empty query stage to empty `LocalRelation`
+ */
+object ConvertToLocalRelation extends Rule[LogicalPlan] {
+  override def apply(plan: LogicalPlan): LogicalPlan = plan transform {
+    case l @ LogicalQueryStage(_, stage: QueryStageExec) if 
stage.resultOption.get().isDefined &&

Review comment:
       I see the issue. If we worry about the `LocalRelation` output 
partitioning, we can just mark `LocalRelationExec` output partitioning as 
`SinglePartition` to avoid extra shuffle. But it doesn't work with optimization 
like non empty left semi/anti elimintaion and multi-join case.
   
   > we can always do: eliminate join, aggregate
   
   Not sure we can always do this if we don't want to introduce extra shuffle. 
And the issue it has already existed in current `EliminateUnnecessaryJoin`, 
like this plan
   ```
   Aggregate (same key with join)
     Join Inner
       LocalRelation
       xxx
   ```
   
   An another idea, if we plan to support extra shuffle later and don't expect 
introduce shuffle at AQE optimzier side, then is it better to check the 
physical plan `requiredChildDistribution` ? We can only allow one node which 
has a valid `requiredChildDistribution` (not `UnspecifiedDistribution`) in one 
query stage, and skip optimize if one query stage has two or more valid 
`requiredChildDistribution` nodes. Thus we can run `PropagateEmptyRelation` 
safely.
   




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