QUERY PLAN AFTER APPLYING THE PATCH
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
 Hash Join  (cost=24.41..92627.20 rows=5000 width=256)
   Hash Cond: (c.relnamespace = n.oid)
   ->  Nested Loop  (cost=23.32..137.61 rows=5000 width=200)
         ->  Seq Scan on pg_publication p  (cost=0.00..1.05 rows=5 width=64) 
         ->  Hash Join  (cost=23.32..35.97 rows=1000 width=136)
               Hash Cond: (gpt.relid = c.oid)
               ->  Function Scan on pg_get_publication_tables gpt  (cost=0.01..10.01 rows=1000 width=68) 
               ->  Hash  (cost=18.14..18.14 rows=414 width=72) 
                     Buckets: 1024  Batches: 1  Memory Usage: 51kB
                     ->  Seq Scan on pg_class c  (cost=0.00..18.14 rows=414 width=72)
   ->  Hash  (cost=1.04..1.04 rows=4 width=68) 
         Buckets: 1024  Batches: 1  Memory Usage: 9kB
         ->  Seq Scan on pg_namespace n  (cost=0.00..1.04 rows=4 width=68) (actual time=0.006..0.008 rows=4 loops=1)
   SubPlan 1
     ->  Aggregate  (cost=18.48..18.49 rows=1 width=32) (actual time=0.027..0.027 rows=1 loops=3)
           ->  Index Scan using pg_attribute_relid_attnum_index on pg_attribute a  (cost=0.28..18.47 rows=1 width=66) (actual time=0.020..0.022 rows=1 loops=3)
                 Index Cond: ((attrelid = gpt.relid) AND (attnum > 0))
                 Filter: ((NOT attisdropped) AND ((attnum = ANY ((gpt.attrs)::smallint[])) OR (gpt.attrs IS NULL)))
                 Rows Removed by Filter: 2



                                                                                 QUERY PLAN BEFORE APPLYING THE PATCH
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
 Hash Join  (cost=24.41..166633.24 rows=5000 width=256) (actual time=0.593..0.735 rows=3 loops=1)
   Hash Cond: (c.relnamespace = n.oid)
   ->  Nested Loop  (cost=23.32..137.61 rows=5000 width=202) (actual time=0.492..0.550 rows=3 loops=1)
         ->  Seq Scan on pg_publication p  (cost=0.00..1.05 rows=5 width=64) (actual time=0.005..0.007 rows=5 loops=1)
         ->  Hash Join  (cost=23.32..35.97 rows=1000 width=138) (actual time=0.107..0.107 rows=1 loops=5)
               Hash Cond: (gpt.relid = c.oid)
               ->  Function Scan on pg_get_publication_tables gpt  (cost=0.01..10.01 rows=1000 width=68) (actual time=0.025..0.025 rows=1 loops=5)
               ->  Hash  (cost=18.14..18.14 rows=414 width=74) (actual time=0.392..0.392 rows=414 loops=1)
                     Buckets: 1024  Batches: 1  Memory Usage: 52kB
                     ->  Seq Scan on pg_class c  (cost=0.00..18.14 rows=414 width=74) (actual time=0.006..0.243 rows=414 loops=1)
   ->  Hash  (cost=1.04..1.04 rows=4 width=68) (actual time=0.016..0.017 rows=4 loops=1)
         Buckets: 1024  Batches: 1  Memory Usage: 9kB
         ->  Seq Scan on pg_namespace n  (cost=0.00..1.04 rows=4 width=68) (actual time=0.009..0.011 rows=4 loops=1)
   SubPlan 2
     ->  Aggregate  (cost=33.28..33.29 rows=1 width=32) (actual time=0.049..0.050 rows=1 loops=3)
           InitPlan 1 (returns $2)
             ->  Aggregate  (cost=12.51..12.52 rows=1 width=32) (actual time=0.012..0.013 rows=1 loops=1)
                   ->  Function Scan on generate_series g  (cost=0.01..10.01 rows=1000 width=4) (actual time=0.004..0.005 rows=3 loops=1)
           ->  Sort  (cost=20.75..20.76 rows=1 width=66) (actual time=0.043..0.043 rows=2 loops=3)
                 Sort Key: a.attnum
                 Sort Method: quicksort  Memory: 25kB
                 ->  Hash Join  (cost=0.54..20.69 rows=1 width=66) (actual time=0.033..0.035 rows=2 loops=3)
                       Hash Cond: (a.attnum = k.k)
                       ->  Index Scan using pg_attribute_relid_attnum_index on pg_attribute a  (cost=0.28..20.40 rows=7 width=66) (actual time=0.010..0.015 rows=9 loops=3)
                             Index Cond: (attrelid = gpt.relid)
                       ->  Hash  (cost=0.13..0.13 rows=10 width=4) (actual time=0.011..0.011 rows=2 loops=3)
                             Buckets: 1024  Batches: 1  Memory Usage: 9kB
                             ->  Function Scan on unnest k  (cost=0.03..0.13 rows=10 width=4) (actual time=0.008..0.009 rows=2 loops=3)