diff --git a/tests/sqllogictests/suites/mode/standalone/ee/explain_agg_index.test b/tests/sqllogictests/suites/mode/standalone/ee/explain_agg_index.test
index 79ba0897b98b6..4b55060b4e513 100644
--- a/tests/sqllogictests/suites/mode/standalone/ee/explain_agg_index.test
+++ b/tests/sqllogictests/suites/mode/standalone/ee/explain_agg_index.test
@@ -325,7 +325,7 @@ EXPLAIN SELECT station_name, MIN(measurement) AS min_measurement, AVG(measuremen
 ----
 EvalScalar
 ├── output columns: [MIN(measurement) (#2), MAX(measurement) (#5), onebrc.station_name (#0), mean_measurement (#6)]
-├── expressions: [sum(measurement) (#3) / CAST(if(CAST(count(measurement) (#4) = 0 AS Boolean NULL), 1, count(measurement) (#4)) AS UInt64 NULL)]
+├── expressions: [CAST(sum(measurement) (#3) AS Float64 NULL) / CAST(if(CAST(count(measurement) (#4) = 0 AS Boolean NULL), 1, count(measurement) (#4)) AS Float64 NULL)]
 ├── estimated rows: 0.00
 └── AggregateFinal
     ├── output columns: [MIN(measurement) (#2), sum(measurement) (#3), count(measurement) (#4), MAX(measurement) (#5), onebrc.station_name (#0)]
@@ -363,7 +363,7 @@ Sort
 ├── estimated rows: 0.00
 └── EvalScalar
     ├── output columns: [MIN(measurement) (#2), MAX(measurement) (#5), onebrc.station_name (#0), mean_measurement (#6)]
-    ├── expressions: [sum(measurement) (#3) / CAST(if(CAST(count(measurement) (#4) = 0 AS Boolean NULL), 1, count(measurement) (#4)) AS UInt64 NULL)]
+    ├── expressions: [CAST(sum(measurement) (#3) AS Float64 NULL) / CAST(if(CAST(count(measurement) (#4) = 0 AS Boolean NULL), 1, count(measurement) (#4)) AS Float64 NULL)]
     ├── estimated rows: 0.00
     └── AggregateFinal
         ├── output columns: [MIN(measurement) (#2), sum(measurement) (#3), count(measurement) (#4), MAX(measurement) (#5), onebrc.station_name (#0)]
@@ -401,7 +401,7 @@ Sort
 ├── estimated rows: 0.00
 └── EvalScalar
     ├── output columns: [MIN(measurement) (#2), MAX(measurement) (#5), onebrc.station_name (#0), mean_measurement (#6)]
-    ├── expressions: [sum(measurement) (#3) / CAST(if(CAST(count(measurement) (#4) = 0 AS Boolean NULL), 1, count(measurement) (#4)) AS UInt64 NULL)]
+    ├── expressions: [CAST(sum(measurement) (#3) AS Float64 NULL) / CAST(if(CAST(count(measurement) (#4) = 0 AS Boolean NULL), 1, count(measurement) (#4)) AS Float64 NULL)]
     ├── estimated rows: 0.00
     └── AggregateFinal
         ├── output columns: [MIN(measurement) (#2), sum(measurement) (#3), count(measurement) (#4), MAX(measurement) (#5), onebrc.station_name (#0)]
@@ -439,7 +439,7 @@ Sort
 ├── estimated rows: 0.00
 └── EvalScalar
     ├── output columns: [MIN(measurement) (#2), MAX(measurement) (#5), onebrc.station_name (#0), mean_measurement (#6)]
-    ├── expressions: [sum(measurement) (#3) / CAST(if(CAST(count(measurement) (#4) = 0 AS Boolean NULL), 1, count(measurement) (#4)) AS UInt64 NULL)]
+    ├── expressions: [CAST(sum(measurement) (#3) AS Float64 NULL) / CAST(if(CAST(count(measurement) (#4) = 0 AS Boolean NULL), 1, count(measurement) (#4)) AS Float64 NULL)]
     ├── estimated rows: 0.00
     └── AggregateFinal
         ├── output columns: [MIN(measurement) (#2), sum(measurement) (#3), count(measurement) (#4), MAX(measurement) (#5), onebrc.station_name (#0)]
@@ -478,7 +478,7 @@ Sort
 ├── estimated rows: 0.00
 └── EvalScalar
     ├── output columns: [MIN(measurement) (#2), MAX(measurement) (#5), onebrc.station_name (#0), onebrc.measurement (#1), mean_measurement (#6)]
-    ├── expressions: [sum(measurement) (#3) / CAST(if(CAST(count(measurement) (#4) = 0 AS Boolean NULL), 1, count(measurement) (#4)) AS UInt64 NULL)]
+    ├── expressions: [CAST(sum(measurement) (#3) AS Float64 NULL) / CAST(if(CAST(count(measurement) (#4) = 0 AS Boolean NULL), 1, count(measurement) (#4)) AS Float64 NULL)]
     ├── estimated rows: 0.00
     └── AggregateFinal
         ├── output columns: [MIN(measurement) (#2), sum(measurement) (#3), count(measurement) (#4), MAX(measurement) (#5), onebrc.station_name (#0), onebrc.measurement (#1)]
diff --git a/tests/sqllogictests/suites/mode/standalone/explain/aggregate.test b/tests/sqllogictests/suites/mode/standalone/explain/aggregate.test
index 0116da9d6c7c4..24a23f665d0fd 100644
--- a/tests/sqllogictests/suites/mode/standalone/explain/aggregate.test
+++ b/tests/sqllogictests/suites/mode/standalone/explain/aggregate.test
@@ -281,7 +281,7 @@ Sort
 ├── estimated rows: 0.00
 └── EvalScalar
     ├── output columns: [sum(b) / if(count(b) = 0, 1, count(b)) (#4), sum(b) / if(count(b) = 0, 1, count(b)) + 1 (#5), sum(b) / if(count(b) = 0, 1, count(b)) (#6)]
-    ├── expressions: [sum(b) (#2) / CAST(if(CAST(count(b) (#3) = 0 AS Boolean NULL), 1, count(b) (#3)) AS UInt64 NULL), sum(b) (#2) / CAST(if(CAST(count(b) (#3) = 0 AS Boolean NULL), 1, count(b) (#3)) AS UInt64 NULL) + 1, sum(b) (#2) / CAST(if(CAST(count(b) (#3) = 0 AS Boolean NULL), 1, count(b) (#3)) AS UInt64 NULL)]
+    ├── expressions: [cast(sum(b) (#2) AS Float64 NULL) / CAST(if(CAST(count(b) (#3) = 0 AS Boolean NULL), 1, count(b) (#3)) AS Float64 NULL), CAST(sum(b) (#2) AS Float64 NULL) / CAST(if(CAST(count(b) (#3) = 0 AS Boolean NULL), 1, count(b) (#3)) AS Float64 NULL) + 1, CAST(sum(b) (#2) AS Float64 NULL) / CAST(if(CAST(count(b) (#3) = 0 AS Boolean NULL), 1, count(b) (#3)) AS Float64 NULL)]
     ├── estimated rows: 0.00
     └── AggregateFinal
         ├── output columns: [sum(b) (#2), count(b) (#3), explain_agg_t1.a (#0)]
@@ -311,7 +311,7 @@ Sort
 ├── estimated rows: 0.00
 └── EvalScalar
     ├── output columns: [sum(b) / if(count(b) = 0, 1, count(b)) + 1 (#4), sum(b) / if(count(b) = 0, 1, count(b)) (#5), sum(b) / if(count(b) = 0, 1, count(b)) (#6)]
-    ├── expressions: [sum(b) (#2) / CAST(if(CAST(count(b) (#3) = 0 AS Boolean NULL), 1, count(b) (#3)) AS UInt64 NULL) + 1, sum(b) (#2) / CAST(if(CAST(count(b) (#3) = 0 AS Boolean NULL), 1, count(b) (#3)) AS UInt64 NULL), sum(b) (#2) / CAST(if(CAST(count(b) (#3) = 0 AS Boolean NULL), 1, count(b) (#3)) AS UInt64 NULL)]
+    ├── expressions: [CAST(sum(b) (#2) AS Float64 NULL) / CAST(if(CAST(count(b) (#3) = 0 AS Boolean NULL), 1, count(b) (#3)) AS Float64 NULL) + 1, CAST(sum(b) (#2) AS Float64 NULL) / CAST(if(CAST(count(b) (#3) = 0 AS Boolean NULL), 1, count(b) (#3)) AS Float64 NULL), CAST(sum(b) (#2) AS Float64 NULL) / CAST(if(CAST(count(b) (#3) = 0 AS Boolean NULL), 1, count(b) (#3)) AS Float64 NULL)]
     ├── estimated rows: 0.00
     └── AggregateFinal
         ├── output columns: [sum(b) (#2), count(b) (#3), explain_agg_t1.a (#0)]
@@ -341,7 +341,7 @@ Sort
 ├── estimated rows: 0.00
 └── EvalScalar
     ├── output columns: [sum(b) / if(count(b) = 0, 1, count(b)) (#4), sum(b) / if(count(b) = 0, 1, count(b)) + 1 (#5), sum(b) / if(count(b) = 0, 1, count(b)) + 1 (#6)]
-    ├── expressions: [sum(b) (#2) / CAST(if(CAST(count(b) (#3) = 0 AS Boolean NULL), 1, count(b) (#3)) AS UInt64 NULL), sum(b) (#2) / CAST(if(CAST(count(b) (#3) = 0 AS Boolean NULL), 1, count(b) (#3)) AS UInt64 NULL) + 1, sum(b) (#2) / CAST(if(CAST(count(b) (#3) = 0 AS Boolean NULL), 1, count(b) (#3)) AS UInt64 NULL) + 1]
+    ├── expressions: [CAST(sum(b) (#2) AS Float64 NULL) / CAST(if(CAST(count(b) (#3) = 0 AS Boolean NULL), 1, count(b) (#3)) AS Float64 NULL), CAST(sum(b) (#2) AS Float64 NULL) / CAST(if(CAST(count(b) (#3) = 0 AS Boolean NULL), 1, count(b) (#3)) AS Float64 NULL) + 1, CAST(sum(b) (#2) AS Float64 NULL) / CAST(if(CAST(count(b) (#3) = 0 AS Boolean NULL), 1, count(b) (#3)) AS Float64 NULL) + 1]
     ├── estimated rows: 0.00
     └── AggregateFinal
         ├── output columns: [sum(b) (#2), count(b) (#3), explain_agg_t1.a (#0)]
@@ -430,7 +430,7 @@ EXPLAIN SELECT referer, avg(isrefresh), count(distinct referer) FROM t GROUP BY
 ----
 EvalScalar
 ├── output columns: [count(DISTINCT referer) (#4), t.referer (#0), sum(isrefresh) / if(count(isrefresh) = 0, 1, count(isrefresh)) (#5)]
-├── expressions: [sum(isrefresh) (#2) / CAST(if(CAST(count(isrefresh) (#3) = 0 AS Boolean NULL), 1, count(isrefresh) (#3)) AS UInt64 NULL)]
+├── expressions: [CAST(sum(isrefresh) (#2) AS Float64 NULL) / CAST(if(CAST(count(isrefresh) (#3) = 0 AS Boolean NULL), 1, count(isrefresh) (#3)) AS Float64 NULL)]
 ├── estimated rows: 0.00
 └── AggregateFinal
     ├── output columns: [sum(isrefresh) (#2), count(isrefresh) (#3), count(DISTINCT referer) (#4), t.referer (#0)]