[SPARK-31670][SQL] Trim unnecessary Struct field alias in Aggregate/GroupingSets

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

@@ -1325,25 +1325,45 @@ class Analyzer(
      *
      * Note : In this routine, the unresolved attributes are resolved from the input plan's
      * children attributes.
+     *
+     * @param e The expression need to be resolved.
+     * @param q The LogicalPlan whose children are used to resolve expression's attribute.
+     * @param trimAlias When true, trim unnecessary alias of `GetStructField`. Note that,
+     *                  we cannot trim the alias of top-level `GetStructField`, as we should
+     *                  resolve `UnresolvedAttribute` to a named expression. The caller side
+     *                  can trim the alias of top-level `GetStructField` if it's safe to do so.
+     * @return resolved Expression.
      */
-    private def resolveExpressionTopDown(e: Expression, q: LogicalPlan): Expression = {
-      if (e.resolved) return e
-      e match {
-        case f: LambdaFunction if !f.bound => f
-        case u @ UnresolvedAttribute(nameParts) =>
-          // Leave unchanged if resolution fails. Hopefully will be resolved next round.
-          val result =
-            withPosition(u) {
-              q.resolveChildren(nameParts, resolver)
-                .orElse(resolveLiteralFunction(nameParts, u, q))
-                .getOrElse(u)
+    private def resolveExpressionTopDown(
+        e: Expression,
+        q: LogicalPlan,
+        trimAlias: Boolean = false): Expression = {
+
+      def innerResolve(e: Expression, isTopLevel: Boolean): Expression = {
+        if (e.resolved) return e
+        e match {
+          case f: LambdaFunction if !f.bound => f
+          case u @ UnresolvedAttribute(nameParts) =>
+            // Leave unchanged if resolution fails. Hopefully will be resolved next round.
+            val resolved =
+              withPosition(u) {
+                q.resolveChildren(nameParts, resolver)
+                  .orElse(resolveLiteralFunction(nameParts, u, q))
+                  .getOrElse(u)
+              }
+            val result = resolved match {
+              case Alias(s: GetStructField, _) if trimAlias && !isTopLevel => s
+              case others => others
             }
-          logDebug(s"Resolving $u to $result")
-          result
-        case UnresolvedExtractValue(child, fieldExpr) if child.resolved =>
-          ExtractValue(child, fieldExpr, resolver)
-        case _ => e.mapChildren(resolveExpressionTopDown(_, q))
+            logDebug(s"Resolving $u to $result")
+            result
+          case UnresolvedExtractValue(child, fieldExpr) if child.resolved =>
+            ExtractValue(child, fieldExpr, resolver)
+          case _ => e.mapChildren(innerResolve(_, isTopLevel = false))
+        }
       }
+
+      innerResolve(e, isTopLevel = true)
     }
 
     def apply(plan: LogicalPlan): LogicalPlan = plan.resolveOperatorsUp {
@@ -1425,11 +1445,51 @@ class Analyzer(
       // rule: ResolveDeserializer.
       case plan if containsDeserializer(plan.expressions) => plan
 
-      // SPARK-25942: Resolves aggregate expressions with `AppendColumns`'s children, instead of
-      // `AppendColumns`, because `AppendColumns`'s serializer might produce conflict attribute
-      // names leading to ambiguous references exception.
-      case a @ Aggregate(groupingExprs, aggExprs, appendColumns: AppendColumns) =>
-        a.mapExpressions(resolveExpressionTopDown(_, appendColumns))
+      case a: Aggregate =>
+        val planForResolve = a.child match {
+          // SPARK-25942: Resolves aggregate expressions with `AppendColumns`'s children, instead of
+          // `AppendColumns`, because `AppendColumns`'s serializer might produce conflict attribute
+          // names leading to ambiguous references exception.
+          case appendColumns: AppendColumns => appendColumns
+          case _ => a
+        }
+
+        val resolvedGroupingExprs = a.groupingExpressions
+          .map(resolveExpressionTopDown(_, planForResolve, trimAlias = true))
+          .map {
+            // trim Alias over top-level GetStructField
+            case Alias(s: GetStructField, _) => s
+            case other => other
+          }
+
+        val resolvedAggExprs = a.aggregateExpressions
+          .map(resolveExpressionTopDown(_, planForResolve, trimAlias = true))
+            .map(_.asInstanceOf[NamedExpression])
+
+        a.copy(resolvedGroupingExprs, resolvedAggExprs, a.child)
+
+      case g: GroupingSets =>
+        val resolvedSelectedExprs = g.selectedGroupByExprs
+          .map(_.map(resolveExpressionTopDown(_, g, trimAlias = true))
+            .map {
+              // trim Alias over top-level GetStructField
+              case Alias(s: GetStructField, _) => s
+              case other => other
+            })
+
+        val resolvedGroupingExprs = g.groupByExprs
+          .map(resolveExpressionTopDown(_, g, trimAlias = true))
+          .map {
+            // trim Alias over top-level GetStructField
+            case Alias(s: GetStructField, _) => s
+            case other => other
+          }
+
+        val resolvedAggExprs = g.aggregations
+          .map(resolveExpressionTopDown(_, g, trimAlias = true))
+            .map(_.asInstanceOf[NamedExpression])
+
+        g.copy(resolvedSelectedExprs, resolvedGroupingExprs, g.child, resolvedAggExprs)
 
       case o: OverwriteByExpression if !o.outputResolved =>
         // do not resolve expression attributes until the query attributes are resolved against the

sql/core/src/test/resources/sql-tests/results/sql-compatibility-functions.sql.out

@@ -110,6 +110,6 @@ struct<>
 -- !query
 SELECT nvl(st.col1, "value"), count(*) FROM from tempView1 GROUP BY nvl(st.col1, "value")
 -- !query schema
-struct<nvl(st.col1 AS `col1`, value):string,FROM:bigint>
+struct<nvl(st.col1, value):string,FROM:bigint>
 -- !query output
 gamma	1

sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala

@@ -3496,6 +3496,108 @@ class SQLQuerySuite extends QueryTest with SharedSparkSession with AdaptiveSpark
     checkIfSeedExistsInExplain(df2)
   }
 
+  test("SPARK-31670: Trim unnecessary Struct field alias in Aggregate/GroupingSets") {
+    withTempView("t") {
+      sql(
+        """
+          |CREATE TEMPORARY VIEW t(a, b, c) AS
+          |SELECT * FROM VALUES
+          |('A', 1, NAMED_STRUCT('row_id', 1, 'json_string', '{"i": 1}')),
+          |('A', 2, NAMED_STRUCT('row_id', 2, 'json_string', '{"i": 1}')),
+          |('A', 2, NAMED_STRUCT('row_id', 2, 'json_string', '{"i": 2}')),
+          |('B', 1, NAMED_STRUCT('row_id', 3, 'json_string', '{"i": 1}')),
+          |('C', 3, NAMED_STRUCT('row_id', 4, 'json_string', '{"i": 1}'))
+        """.stripMargin)
+
+      checkAnswer(
+        sql(
+          """
+            |SELECT a, c.json_string, SUM(b)
+            |FROM t
+            |GROUP BY a, c.json_string
+            |""".stripMargin),
+        Row("A", "{\"i\": 1}", 3) :: Row("A", "{\"i\": 2}", 2) ::
+          Row("B", "{\"i\": 1}", 1) :: Row("C", "{\"i\": 1}", 3) :: Nil)
+
+      checkAnswer(
+        sql(
+          """
+            |SELECT a, c.json_string, SUM(b)
+            |FROM t
+            |GROUP BY a, c.json_string
+            |WITH CUBE
+            |""".stripMargin),
+        Row("A", "{\"i\": 1}", 3) :: Row("A", "{\"i\": 2}", 2) :: Row("A", null, 5) ::
+          Row("B", "{\"i\": 1}", 1) :: Row("B", null, 1) ::
+          Row("C", "{\"i\": 1}", 3) :: Row("C", null, 3) ::
+          Row(null, "{\"i\": 1}", 7) :: Row(null, "{\"i\": 2}", 2) :: Row(null, null, 9) :: Nil)
+
+      checkAnswer(
+        sql(
+          """
+            |SELECT a, get_json_object(c.json_string, '$.i'), SUM(b)
+            |FROM t
+            |GROUP BY a, get_json_object(c.json_string, '$.i')
+            |WITH CUBE
+            |""".stripMargin),
+        Row("A", "1", 3) :: Row("A", "2", 2) :: Row("A", null, 5) ::
+          Row("B", "1", 1) :: Row("B", null, 1) ::
+          Row("C", "1", 3) :: Row("C", null, 3) ::
+          Row(null, "1", 7) :: Row(null, "2", 2) :: Row(null, null, 9) :: Nil)
+
+      checkAnswer(
+        sql(
+          """
+            |SELECT a, c.json_string AS json_string, SUM(b)
+            |FROM t
+            |GROUP BY a, c.json_string
+            |WITH CUBE
+            |""".stripMargin),
+        Row("A", null, 5) :: Row("A", "{\"i\": 1}", 3) :: Row("A", "{\"i\": 2}", 2) ::
+          Row("B", null, 1) :: Row("B", "{\"i\": 1}", 1) ::
+          Row("C", null, 3) :: Row("C", "{\"i\": 1}", 3) ::
+          Row(null, null, 9) :: Row(null, "{\"i\": 1}", 7) :: Row(null, "{\"i\": 2}", 2) :: Nil)
+
+      checkAnswer(
+        sql(
+          """
+            |SELECT a, c.json_string as js, SUM(b)
+            |FROM t
+            |GROUP BY a, c.json_string
+            |WITH CUBE
+            |""".stripMargin),
+        Row("A", null, 5) :: Row("A", "{\"i\": 1}", 3) :: Row("A", "{\"i\": 2}", 2) ::
+          Row("B", null, 1) :: Row("B", "{\"i\": 1}", 1) ::
+          Row("C", null, 3) :: Row("C", "{\"i\": 1}", 3) ::
+          Row(null, null, 9) :: Row(null, "{\"i\": 1}", 7) :: Row(null, "{\"i\": 2}", 2) :: Nil)
+
+      checkAnswer(
+        sql(
+          """
+            |SELECT a, c.json_string as js, SUM(b)
+            |FROM t
+            |GROUP BY a, c.json_string
+            |WITH ROLLUP
+            |""".stripMargin),
+        Row("A", null, 5) :: Row("A", "{\"i\": 1}", 3) :: Row("A", "{\"i\": 2}", 2) ::
+          Row("B", null, 1) :: Row("B", "{\"i\": 1}", 1) ::
+          Row("C", null, 3) :: Row("C", "{\"i\": 1}", 3) ::
+          Row(null, null, 9) :: Nil)
+
+      checkAnswer(
+        sql(
+          """
+            |SELECT a, c.json_string, SUM(b)
+            |FROM t
+            |GROUP BY a, c.json_string
+            |GROUPING sets((a),(a, c.json_string))
+            |""".stripMargin),
+        Row("A", null, 5) :: Row("A", "{\"i\": 1}", 3) :: Row("A", "{\"i\": 2}", 2) ::
+          Row("B", null, 1) :: Row("B", "{\"i\": 1}", 1) ::
+          Row("C", null, 3) :: Row("C", "{\"i\": 1}", 3) :: Nil)
+    }
+  }
+
   test("SPARK-31761: test byte, short, integer overflow for (Divide) integral type") {
     checkAnswer(sql("Select -2147483648 DIV -1"), Seq(Row(Integer.MIN_VALUE.toLong * -1)))
     checkAnswer(sql("select CAST(-128 as Byte) DIV CAST (-1 as Byte)"),