diff --git a/gluten-core/src/main/scala/io/glutenproject/extension/ColumnarOverrides.scala b/gluten-core/src/main/scala/io/glutenproject/extension/ColumnarOverrides.scala
index 3c12d0c56e22..f6c2b2ac90a9 100644
--- a/gluten-core/src/main/scala/io/glutenproject/extension/ColumnarOverrides.scala
+++ b/gluten-core/src/main/scala/io/glutenproject/extension/ColumnarOverrides.scala
@@ -45,6 +45,8 @@ import org.apache.spark.sql.execution.window.WindowExec
 import org.apache.spark.sql.hive.HiveTableScanExecTransformer
 import org.apache.spark.util.SparkRuleUtil
 
+import scala.collection.mutable.ListBuffer
+
 // This rule will conduct the conversion from Spark plan to the plan transformer.
 case class TransformPreOverrides(isAdaptiveContext: Boolean)
   extends Rule[SparkPlan]
@@ -749,7 +751,10 @@ case class ColumnarOverrideRules(session: SparkSession)
   private val aqeStackTraceIndex = 14
 
   // Holds the original plan for possible entire fallback.
-  private val localOriginalPlan = new ThreadLocal[SparkPlan]
+  private val localOriginalPlans: ThreadLocal[ListBuffer[SparkPlan]] =
+    ThreadLocal.withInitial(() => ListBuffer.empty[SparkPlan])
+  private val localIsAdaptiveContextFlags: ThreadLocal[ListBuffer[Boolean]] =
+    ThreadLocal.withInitial(() => ListBuffer.empty[Boolean])
 
   // Do not create rules in class initialization as we should access SQLConf
   // while creating the rules. At this time SQLConf may not be there yet.
@@ -760,7 +765,10 @@ case class ColumnarOverrideRules(session: SparkSession)
   }
 
   def isAdaptiveContext: Boolean =
-    session.sparkContext.getLocalProperty(GLUTEN_IS_ADAPTIVE_CONTEXT).toBoolean
+    Option(session.sparkContext.getLocalProperty(GLUTEN_IS_ADAPTIVE_CONTEXT))
+      .getOrElse("false")
+      .toBoolean ||
+      localIsAdaptiveContextFlags.get().head
 
   private def setAdaptiveContext(): Unit = {
     val traceElements = Thread.currentThread.getStackTrace
@@ -772,25 +780,27 @@ case class ColumnarOverrideRules(session: SparkSession)
     // columnar rule will be applied in adaptive execution context. This part of code
     // needs to be carefully checked when supporting higher versions of spark to make
     // sure the calling stack has not been changed.
-    session.sparkContext.setLocalProperty(
-      GLUTEN_IS_ADAPTIVE_CONTEXT,
-      traceElements(aqeStackTraceIndex).getClassName
-        .equals(AdaptiveSparkPlanExec.getClass.getName)
-        .toString)
+    localIsAdaptiveContextFlags
+      .get()
+      .prepend(
+        traceElements(aqeStackTraceIndex).getClassName
+          .equals(AdaptiveSparkPlanExec.getClass.getName))
   }
 
   private def resetAdaptiveContext(): Unit =
-    session.sparkContext.setLocalProperty(GLUTEN_IS_ADAPTIVE_CONTEXT, null)
+    localIsAdaptiveContextFlags.get().remove(0)
 
-  private def setOriginalPlan(plan: SparkPlan): Unit = localOriginalPlan.set(plan)
+  private def setOriginalPlan(plan: SparkPlan): Unit = {
+    localOriginalPlans.get.prepend(plan)
+  }
 
   private def originalPlan: SparkPlan = {
-    val plan = localOriginalPlan.get()
+    val plan = localOriginalPlans.get.head
     assert(plan != null)
     plan
   }
 
-  private def resetOriginalPlan(): Unit = localOriginalPlan.remove()
+  private def resetOriginalPlan(): Unit = localOriginalPlans.get.remove(0)
 
   private def preOverrides(): List[SparkSession => Rule[SparkPlan]] = {
     val tagBeforeTransformHitsRules =
diff --git a/gluten-delta/src/test/scala/io/glutenproject/execution/VeloxDeltaSuite.scala b/gluten-delta/src/test/scala/io/glutenproject/execution/VeloxDeltaSuite.scala
index 3f1f7ab255fa..7e096151b16c 100644
--- a/gluten-delta/src/test/scala/io/glutenproject/execution/VeloxDeltaSuite.scala
+++ b/gluten-delta/src/test/scala/io/glutenproject/execution/VeloxDeltaSuite.scala
@@ -55,4 +55,22 @@ class VeloxDeltaSuite extends WholeStageTransformerSuite {
     checkLengthAndPlan(df2, 1)
     checkAnswer(df2, Row("v2") :: Nil)
   }
+
+  test("basic test with stats.skipping disabled") {
+    withSQLConf("spark.databricks.delta.stats.skipping" -> "false") {
+      spark.sql(s"""
+                   |create table delta_test2 (id int, name string) using delta
+                   |""".stripMargin)
+      spark.sql(s"""
+                   |insert into delta_test2 values (1, "v1"), (2, "v2")
+                   |""".stripMargin)
+      val df1 = runQueryAndCompare("select * from delta_test2") { _ => }
+      checkLengthAndPlan(df1, 2)
+      checkAnswer(df1, Row(1, "v1") :: Row(2, "v2") :: Nil)
+
+      val df2 = runQueryAndCompare("select name from delta_test2 where id = 2") { _ => }
+      checkLengthAndPlan(df2, 1)
+      checkAnswer(df2, Row("v2") :: Nil)
+    }
+  }
 }