Fix plan difference in gporca regression test

src/test/regress/expected/gporca_optimizer.out

@@ -12337,40 +12337,43 @@ SELECT DISTINCT L1.c, L1.lid
 FROM t55 L1 CROSS JOIN META
 WHERE L1.lid = META.LOAD_ID;
 NOTICE:  Table doesn't have 'DISTRIBUTED BY' clause. Creating a NULL policy entry.
-                                                      QUERY PLAN                                                      
-----------------------------------------------------------------------------------------------------------------------
+                                                        QUERY PLAN                                                        
+--------------------------------------------------------------------------------------------------------------------------
  Result  (cost=0.00..0.00 rows=0 width=0)
    Output: c, lid
-   ->  Result  (cost=0.00..437.37 rows=134 width=8)
+   ->  Result  (cost=0.00..431.10 rows=1 width=8)
          Output: c, lid, 1
-         ->  Redistribute Motion 3:3  (slice2; segments: 3)  (cost=0.00..431.12 rows=134 width=8)
+         ->  Redistribute Motion 3:3  (slice2; segments: 3)  (cost=0.00..431.08 rows=1 width=8)
                Output: c, lid
-               ->  HashAggregate  (cost=0.00..431.12 rows=134 width=8)
+               ->  GroupAggregate  (cost=0.00..431.08 rows=1 width=8)
                      Output: c, lid
                      Group Key: t55.c, t55.lid
-                     ->  Hash Join  (cost=0.00..431.08 rows=134 width=8)
+                     ->  Sort  (cost=0.00..431.08 rows=1 width=8)
                            Output: c, lid
-                           Hash Cond: (t55.lid = pg_catalog.int4in(unknownout("outer".load_id), 23::oid, (-1)))
-                           ->  Redistribute Motion 3:3  (slice1; segments: 3)  (cost=0.00..431.02 rows=334 width=8)
+                           Sort Key: t55.c, t55.lid
+                           ->  Hash Join  (cost=0.00..431.08 rows=1 width=8)
                                  Output: c, lid
-                                 Hash Key: lid
-                                 ->  Seq Scan on orca.t55  (cost=0.00..431.01 rows=334 width=8)
+                                 Hash Cond: (t55.lid = pg_catalog.int4in(unknownout("outer".load_id), 23::oid, (-1)))
+                                 ->  Redistribute Motion 3:3  (slice1; segments: 3)  (cost=0.00..431.02 rows=334 width=8)
                                        Output: c, lid
-                           ->  Hash  (cost=0.00..0.00 rows=1 width=8)
-                                 Output: load_id
-                                 ->  Result  (cost=0.00..0.00 rows=1 width=8)
+                                       Hash Key: lid
+                                       ->  Seq Scan on orca.t55  (cost=0.00..431.01 rows=334 width=8)
+                                             Output: c, lid
+                                 ->  Hash  (cost=0.00..0.00 rows=1 width=8)
                                        Output: load_id
                                        ->  Result  (cost=0.00..0.00 rows=1 width=8)
-                                             Output: load_id, pg_catalog.int4in(unknownout(load_id), 23::oid, (-1))
+                                             Output: load_id
                                              ->  Result  (cost=0.00..0.00 rows=1 width=8)
-                                                   Output: load_id
+                                                   Output: load_id, pg_catalog.int4in(unknownout(load_id), 23::oid, (-1))
                                                    ->  Result  (cost=0.00..0.00 rows=1 width=8)
-                                                         Output: '2020-01-01', '99'
-                                                         ->  Result  (cost=0.00..0.00 rows=1 width=1)
-                                                               Output: true
+                                                         Output: load_id
+                                                         ->  Result  (cost=0.00..0.00 rows=1 width=8)
+                                                               Output: '2020-01-01', '99'
+                                                               ->  Result  (cost=0.00..0.00 rows=1 width=1)
+                                                                     Output: true
  Optimizer: Pivotal Optimizer (GPORCA)
  Settings: optimizer=on, optimizer_cte_inlining_bound=1000, optimizer_join_order=query, optimizer_metadata_caching=on
-(31 rows)
+(34 rows)
 
 CREATE TABLE TP AS
 WITH META AS (SELECT '2020-01-01' AS VALID_DT, '99' AS LOAD_ID)