fix unstable cte_prune again

Author: avamingli

src/test/regress/expected/cte_prune.out

@@ -8,6 +8,7 @@ insert into t1 values(generate_series(1, 10), generate_series(11, 20), generate_
 analyze t1;
 create table t2(v1 int, v2 int, v3 int);
 insert into t2 values(generate_series(0, 100), generate_series(100, 200), generate_series(200, 300));
+analyze t2;
 -- should pruned both seq scan and shared scan
 explain verbose with c1 as (select v1, v2, v3 from t1) select c11.v1 from c1 as c11 left join c1 as c22 on c11.v1=c22.v1 where c11.v1 < 5;
                                         QUERY PLAN                                        

src/test/regress/expected/cte_prune_optimizer.out

@@ -12,6 +12,7 @@ create table t2(v1 int, v2 int, v3 int);
 NOTICE:  Table doesn't have 'DISTRIBUTED BY' clause -- Using column named 'v1' as the Apache Cloudberry data distribution key for this table.
 HINT:  The 'DISTRIBUTED BY' clause determines the distribution of data. Make sure column(s) chosen are the optimal data distribution key to minimize skew.
 insert into t2 values(generate_series(0, 100), generate_series(100, 200), generate_series(200, 300));
+analyze t2;
 -- should pruned both seq scan and shared scan
 explain verbose with c1 as (select v1, v2, v3 from t1) select c11.v1 from c1 as c11 left join c1 as c22 on c11.v1=c22.v1 where c11.v1 < 5;
                                              QUERY PLAN                                             
@@ -867,12 +868,12 @@ select c11.v1 from c1 as c11 left join c1 as c22 on c11.v1=c22.v1;
                ->  Hash Join  (cost=0.00..862.00 rows=1 width=4)
                      Output: t1.v1
                      Hash Cond: (t1.v1 = t2.v1)
-                     ->  Seq Scan on cte_prune.t1  (cost=0.00..431.00 rows=4 width=4)
-                           Output: t1.v1
-                     ->  Hash  (cost=431.00..431.00 rows=1 width=4)
+                     ->  Seq Scan on cte_prune.t2  (cost=0.00..431.00 rows=4 width=4)
                            Output: t2.v1
-                           ->  Seq Scan on cte_prune.t2  (cost=0.00..431.00 rows=1 width=4)
-                                 Output: t2.v1
+                     ->  Hash  (cost=431.00..431.00 rows=1 width=4)
+                           Output: t1.v1
+                           ->  Seq Scan on cte_prune.t1  (cost=0.00..431.00 rows=1 width=4)
+                                 Output: t1.v1
          ->  Hash Left Join  (cost=0.00..862.00 rows=1 width=4)
                Output: share0_ref3.v1
                Hash Cond: (share0_ref3.v1 = share0_ref2.v1)

src/test/regress/sql/cte_prune.sql

@@ -10,6 +10,7 @@ analyze t1;
 
 create table t2(v1 int, v2 int, v3 int);
 insert into t2 values(generate_series(0, 100), generate_series(100, 200), generate_series(200, 300));
+analyze t2;
 
 -- should pruned both seq scan and shared scan
 explain verbose with c1 as (select v1, v2, v3 from t1) select c11.v1 from c1 as c11 left join c1 as c22 on c11.v1=c22.v1 where c11.v1 < 5;