diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
index 1233f2207f54e..a0d49c29470df 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala
@@ -1251,9 +1251,14 @@ object OptimizeWindowFunctions extends Rule[LogicalPlan] {
  *   independent and are of the same window function type, collapse into the parent.
  */
 object CollapseWindow extends Rule[LogicalPlan] {
+  private def specCompatible(s1: Seq[Expression], s2: Seq[Expression]): Boolean = {
+    s1.length == s2.length &&
+      s1.zip(s2).forall(e => e._1.semanticEquals(e._2))
+  }
+
   private def windowsCompatible(w1: Window, w2: Window): Boolean = {
-    w1.partitionSpec == w2.partitionSpec &&
-      w1.orderSpec == w2.orderSpec &&
+    specCompatible(w1.partitionSpec, w2.partitionSpec) &&
+      specCompatible(w1.orderSpec, w2.orderSpec) &&
       w1.references.intersect(w2.windowOutputSet).isEmpty &&
       w1.windowExpressions.nonEmpty && w2.windowExpressions.nonEmpty &&
       // This assumes Window contains the same type of window expressions. This is ensured
diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/CollapseWindowSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/CollapseWindowSuite.scala
index 63cc3554564b2..515203da7caf6 100644
--- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/CollapseWindowSuite.scala
+++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/CollapseWindowSuite.scala
@@ -148,4 +148,24 @@ class CollapseWindowSuite extends PlanTest {
 
     comparePlans(optimized, query)
   }
+
+  test("SPARK-42525: collapse two adjacent windows with the same partition/order " +
+    "but qualifiers are different ") {
+
+    val query = testRelation
+      .window(Seq(min(a).as("_we0")), Seq(c.withQualifier(Seq("0"))), Seq(c.asc))
+      .select($"a", $"b", $"c", $"_we0" as "min_a")
+      .window(Seq(max(a).as("_we1")), Seq(c.withQualifier(Seq("1"))), Seq(c.asc))
+      .select($"a", $"b", $"c", $"min_a", $"_we1" as "max_a")
+      .analyze
+
+    val optimized = Optimize.execute(query)
+
+    val correctAnswer = testRelation
+      .window(Seq(min(a).as("_we0"), max(a).as("_we1")), Seq(c), Seq(c.asc))
+      .select(a, b, c, $"_we0" as "min_a", $"_we1" as "max_a")
+      .analyze
+
+    comparePlans(optimized, correctAnswer)
+  }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala
index b9421f8b13dd4..1fb937e93b843 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala
@@ -22,6 +22,7 @@ import org.scalatest.matchers.must.Matchers.the
 import org.apache.spark.TestUtils.{assertNotSpilled, assertSpilled}
 import org.apache.spark.sql.catalyst.expressions.{AttributeReference, Expression, Lag, Literal, NonFoldableLiteral}
 import org.apache.spark.sql.catalyst.optimizer.TransposeWindow
+import org.apache.spark.sql.catalyst.plans.logical.{Window => LogicalWindow}
 import org.apache.spark.sql.catalyst.plans.physical.HashPartitioning
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 import org.apache.spark.sql.execution.exchange.{ENSURE_REQUIREMENTS, Exchange, ShuffleExchangeExec}
@@ -1429,4 +1430,19 @@ class DataFrameWindowFunctionsSuite extends QueryTest
       }
     }
   }
+
+  test("SPARK-42525: collapse two adjacent windows with the same partition/order in subquery") {
+    withTempView("t1") {
+      Seq((1, 1), (2, 2)).toDF("a", "b").createOrReplaceTempView("t1")
+      val df = sql(
+        """
+          |SELECT a, b, rk, row_number() OVER (PARTITION BY a ORDER BY b) AS rn
+          |FROM   (SELECT a, b, rank() OVER (PARTITION BY a ORDER BY b) AS rk
+          |        FROM t1) t2
+          |""".stripMargin)
+
+      val windows = df.queryExecution.optimizedPlan.collect { case w: LogicalWindow => w }
+      assert(windows.size === 1)
+    }
+  }
 }