diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
index db276fbc9d53a..4535176a14d89 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
@@ -279,9 +279,15 @@ class Analyzer(
      *  We need to get all of its subsets for a given GROUPBY expression, the subsets are
      *  represented as sequence of expressions.
      */
-    def cubeExprs(exprs: Seq[Expression]): Seq[Seq[Expression]] = exprs.toList match {
+    def cubeExprs(exprs: Seq[Expression]): Seq[Seq[Expression]] = {
+      // `cubeExprs0` is recursive and returns a lazy Stream. Here we call `toIndexedSeq` to
+      // materialize it and avoid serialization problems later on.
+      cubeExprs0(exprs).toIndexedSeq
+    }
+
+    def cubeExprs0(exprs: Seq[Expression]): Seq[Seq[Expression]] = exprs.toList match {
       case x :: xs =>
-        val initial = cubeExprs(xs)
+        val initial = cubeExprs0(xs)
         initial.map(x +: _) ++ initial
       case Nil =>
         Seq(Seq.empty)