diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
index 801bd2693af4..5aef82b64ed3 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
@@ -400,13 +400,14 @@ object RewriteDistinctAggregates extends Rule[LogicalPlan] {
         (distinctAggOperatorMap.flatMap(_._2) ++
           regularAggOperatorMap.map(e => (e._1, e._3))).toMap
 
+      val groupByMapNonFoldable = groupByMap.filter(!_._1.foldable)
       val patchedAggExpressions = a.aggregateExpressions.map { e =>
         e.transformDown {
           case e: Expression =>
             // The same GROUP BY clauses can have different forms (different names for instance) in
             // the groupBy and aggregate expressions of an aggregate. This makes a map lookup
             // tricky. So we do a linear search for a semantically equal group by expression.
-            groupByMap
+            groupByMapNonFoldable
               .find(ge => e.semanticEquals(ge._1))
               .map(_._2)
               .getOrElse(transformations.getOrElse(e, e))
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregatesSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregatesSuite.scala
index ac136dfb898e..4d31999ded65 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregatesSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregatesSuite.scala
@@ -18,7 +18,7 @@ package org.apache.spark.sql.catalyst.optimizer
 
 import org.apache.spark.sql.catalyst.dsl.expressions._
 import org.apache.spark.sql.catalyst.dsl.plans._
-import org.apache.spark.sql.catalyst.expressions.Literal
+import org.apache.spark.sql.catalyst.expressions.{Literal, Round}
 import org.apache.spark.sql.catalyst.expressions.aggregate.CollectSet
 import org.apache.spark.sql.catalyst.plans.PlanTest
 import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, Expand, LocalRelation, LogicalPlan}
@@ -109,4 +109,20 @@ class RewriteDistinctAggregatesSuite extends PlanTest {
       case _ => fail(s"Plan is not rewritten:\n$rewrite")
     }
   }
+
+  test("SPARK-49261: Literals in grouping expressions shouldn't result in unresolved aggregation") {
+    val relation = testRelation2
+      .select(Literal(6).as("gb"), $"a", $"b", $"c", $"d")
+    val input = relation
+      .groupBy($"a", $"gb")(
+        countDistinct($"b").as("agg1"),
+        countDistinct($"d").as("agg2"),
+        Round(sum($"c").as("sum1"), 6)).analyze
+    val rewriteFold = FoldablePropagation(input)
+    // without the fix, the below produces an unresolved plan
+    val rewrite = RewriteDistinctAggregates(rewriteFold)
+    if (!rewrite.resolved) {
+      fail(s"Plan is not as expected:\n$rewrite")
+    }
+  }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
index 0e9d34c3bd96..e80c3b23a7db 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
@@ -2490,6 +2490,27 @@ class DataFrameAggregateSuite extends QueryTest
       })
     }
   }
+
+  test("SPARK-49261: Literals in grouping expressions shouldn't result in unresolved aggregation") {
+    val data = Seq((1, 1.001d, 2), (2, 3.001d, 4), (2, 3.001, 4)).toDF("a", "b", "c")
+    withTempView("v1") {
+      data.createOrReplaceTempView("v1")
+      val df =
+        sql("""SELECT
+              |  ROUND(SUM(b), 6) AS sum1,
+              |  COUNT(DISTINCT a) AS count1,
+              |  COUNT(DISTINCT c) AS count2
+              |FROM (
+              |  SELECT
+              |    6 AS gb,
+              |    *
+              |  FROM v1
+              |)
+              |GROUP BY a, gb
+              |""".stripMargin)
+      checkAnswer(df, Row(1.001d, 1, 1) :: Row(6.002d, 1, 1) :: Nil)
+    }
+  }
 }
 
 case class B(c: Option[Double])