[FEA][AUDIT][SPARK-44641] Incorrect result in certain scenarios when SPJ is not triggered

sql-plugin/src/main/spark340/scala/com/nvidia/spark/rapids/shims/GpuBatchScanExec.scala

@@ -202,7 +202,12 @@ case class GpuBatchScanExec(
               val partitionMapping = groupedPartitions.map { case (row, parts) =>
                 InternalRowComparableWrapper(row, p.expressions) -> parts
               }.toMap
-              finalPartitions = p.partitionValues.map { partValue =>
+
+              // In case `commonPartitionValues` is not defined (e.g., SPJ is not used), there
+              // could exist duplicated partition values, as partition grouping is not done
+              // at the beginning and postponed to this method. It is important to use unique
+              // partition values here so that grouped partitions won't get duplicated.
+              finalPartitions = KeyGroupedPartitioningShim.getUniquePartitions(p).map { partValue =>
                 // Use empty partition for those partition values that are not present
                 partitionMapping.getOrElse(
                   InternalRowComparableWrapper(partValue, p.expressions), Seq.empty)

sql-plugin/src/main/spark340/scala/com/nvidia/spark/rapids/shims/KeyGroupedPartitioningShim.scala

@@ -0,0 +1,33 @@
+/*
+ * Copyright (c) 2023, NVIDIA CORPORATION.
+ *
+ * Licensed 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.
+ */
+/*** spark-rapids-shim-json-lines
+{"spark": "340"}
+{"spark": "341"}
+spark-rapids-shim-json-lines ***/
+package com.nvidia.spark.rapids.shims
+
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.plans.physical.KeyGroupedPartitioning
+import org.apache.spark.sql.catalyst.util.InternalRowComparableWrapper
+
+object KeyGroupedPartitioningShim {
+  def getUniquePartitions(p: KeyGroupedPartitioning): Seq[InternalRow] = {
+    p.partitionValues
+      .map(InternalRowComparableWrapper(_, p.expressions))
+      .distinct
+      .map(_.row)
+  }
+}

sql-plugin/src/main/spark350/scala/com/nvidia/spark/rapids/shims/KeyGroupedPartitioningShim.scala

@@ -0,0 +1,28 @@
+/*
+ * Copyright (c) 2023, NVIDIA CORPORATION.
+ *
+ * Licensed 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.
+ */
+/*** spark-rapids-shim-json-lines
+{"spark": "350"}
+spark-rapids-shim-json-lines ***/
+package com.nvidia.spark.rapids.shims
+
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.plans.physical.KeyGroupedPartitioning
+
+object KeyGroupedPartitioningShim {
+  def getUniquePartitions(p: KeyGroupedPartitioning): Seq[InternalRow] = {
+    p.uniquePartitionValues
+  }
+}