diff --git a/fe/fe-core/src/main/java/org/apache/doris/catalog/FunctionSet.java b/fe/fe-core/src/main/java/org/apache/doris/catalog/FunctionSet.java
index f22a6eeed9..70e974c40c 100644
--- a/fe/fe-core/src/main/java/org/apache/doris/catalog/FunctionSet.java
+++ b/fe/fe-core/src/main/java/org/apache/doris/catalog/FunctionSet.java
@@ -1321,6 +1321,15 @@ public class FunctionSet<T> {
                 true, false, true, true));
 
         //vec percentile and percentile_approx
+        addBuiltin(AggregateFunction.createBuiltin("percentile",
+                        Lists.newArrayList(Type.BIGINT, Type.DOUBLE), Type.DOUBLE, Type.VARCHAR,
+                        "",
+                        "",
+                        "",
+                        "",
+                        "",
+                        false, true, false, true));
+
         addBuiltin(AggregateFunction.createBuiltin("percentile_approx",
                 Lists.<Type>newArrayList(Type.DOUBLE, Type.DOUBLE), Type.DOUBLE, Type.VARCHAR,
                 "",
diff --git a/regression-test/suites/mv_p0/test_user_activity/test_user_activity.groovy b/regression-test/suites/mv_p0/test_user_activity/test_user_activity.groovy
index 2fd50485e1..8a100b9bfb 100644
--- a/regression-test/suites/mv_p0/test_user_activity/test_user_activity.groovy
+++ b/regression-test/suites/mv_p0/test_user_activity/test_user_activity.groovy
@@ -18,8 +18,8 @@
 import org.codehaus.groovy.runtime.IOGroovyMethods
 
 suite ("test_user_activity") {
-
-    sql """ DROP TABLE IF EXISTS d_table; """
+    sql """set enable_nereids_planner=true"""
+    sql """ DROP TABLE IF EXISTS u_axx; """
 
     sql """
             CREATE TABLE u_axx (
@@ -38,6 +38,7 @@ suite ("test_user_activity") {
 
     qt_select_base " select n_dx, percentile_approx(n_duration, 0.5) as p50, percentile_approx(n_duration, 0.90) as p90 FROM u_axx GROUP BY n_dx; "
 
+    sql """ drop materialized view IF EXISTS session_distribution_2 on u_axx;"""
     createMV ("create materialized view session_distribution_2 as select n_dx, percentile_approx(n_duration, 0.5) as p50, percentile_approx(n_duration, 0.90) as p90 FROM u_axx GROUP BY n_dx;")
 
     sql """INSERT INTO u_axx VALUES (2, "2023-01-02", 600);"""