nikitagkonda commented on a change in pull request #25761: [SPARK-29029][SQL] - 
Using AttributeMap in PhysicalOperation.collectProjectsAndFilters
URL: https://github.com/apache/spark/pull/25761#discussion_r324832015
 
 

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 File path: 
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/planning/TestPhysicalOperation.scala
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 @@ -0,0 +1,67 @@
+/*
+ * 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.catalyst.planning
+
+import org.junit.Assert
+
+import org.apache.spark.SparkFunSuite
+import org.apache.spark.sql.catalyst.expressions.{Alias, AttributeReference, 
Expression, ExprId, IsNotNull}
+import org.apache.spark.sql.catalyst.plans.logical.{Filter, LocalRelation, 
LogicalPlan, Project}
+import org.apache.spark.sql.types.{LongType, StringType, TimestampType}
+
+class TestPhysicalOperation extends SparkFunSuite {
+  private val textField = AttributeReference("text1", StringType, nullable = 
false)()
+  private val dateField = AttributeReference("date1", TimestampType)()
+  private val longField = AttributeReference("long1", LongType)()
+  private val longAliasField = Alias(longField, "long1")(exprId = ExprId(100))
+  private val longAliasField2 =
+    Alias(longField, "long1")(exprId = ExprId(100), qualifier = Seq("tmp"))
+  private val testRelation = LocalRelation(textField, dateField, longField)
+
+  object InvokePhysicalOperation {
+    def apply(plan: LogicalPlan): Seq[Expression] = plan match {
+      case PhysicalOperation(projects, filters, _) =>
+        filters
+      case _ => Nil
+    }
+  }
+
+  test("verify PhysicalOperation returns correct filters with substituted 
alias when" +
+    " AttributeReferences are same in alias map and filter condition") {
+    val actualFilters = InvokePhysicalOperation(
+      Filter(IsNotNull(longAliasField.toAttribute),
+        Project(Seq(longAliasField, textField),
+          Filter(IsNotNull(dateField),
+            testRelation))))
+    val expectedFilters = Seq(IsNotNull(dateField), IsNotNull(longAliasField))
+
+    Assert.assertEquals(expectedFilters, actualFilters)
+  }
+
+  test("SPARK-29029 verify PhysicalOperation returns correct filters with 
substituted alias when" +
+    " AttributeReference's ExprId is same but qualifier is different") {
+    val actualFilters = InvokePhysicalOperation(
+      Filter(IsNotNull(longAliasField2.toAttribute),
+        Project(Seq(longAliasField, textField),
+          Filter(IsNotNull(dateField),
+            testRelation))))
+    val expectedFilters = Seq(IsNotNull(dateField), IsNotNull(longAliasField2))
 
 Review comment:
   @HyukjinKwon We have a case where we introduce a Custom logical operator for 
eg `CustomBarrier` in the spark logical plan merely to block some of the Spark 
optimization rules. However, as part of custom optimizations in 
`sessionState.experimentalMethods.extraOptimizations` (executed after all 
spark's optimization rules) we remove the custom logical operator 
`CustomBarrier` and after that we end up in this scenario. On digging further 
we found that the optimizer rule `PushDownPredicate` that handles this case was 
not getting triggered because of the `CustomBarrier`. Also `PushDownPredicate` 
is using `AttributeMap` instead of `Map[Attribute, Expression]` hence we do not 
see such case there and the alias is substituted properly in that case.

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