partition table slow planning - Mailing list pgsql-general

From Jatinder Sandhu
Subject partition table slow planning
Date
Msg-id CAE7n=v+Rj2GzfY8JTqedXhd9vHjO+TsEWxK78xLxY04nfko8+g@mail.gmail.com
Whole thread Raw
Responses Re: partition table slow planning  (Imre Samu <pella.samu@gmail.com>)
List pgsql-general


We encounter a issue when we do query on partition table directly with proper partition key provide. postgres able to find problem partition but when I do explain plan it showing 95% spend on planning the execution . Here is example
itinerary=# EXPLAIN ANALYZE SELECT * FROM itinerary WHERE destination ='GRJ' AND departure_date = '2020-01-01' AND month_day = 101
itinerary-# ;
                                                                              QUERY PLAN
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
 Append  (cost=0.29..13.79 rows=11 width=1024) (actual time=0.033..0.037 rows=1 loops=1)
   ->  Index Scan using itinerary_101_destination_departure_date_idx on itinerary_101  (cost=0.29..13.73 rows=11 width=1024) (actual time=0.033..0.036 rows=1 loops=1)
         Index Cond: (((destination)::text = 'GRJ'::text) AND ((departure_date)::text = '2020-01-01'::text))
         Filter: (month_day = 101)
 Planning Time: 51.677 ms
 Execution Time: 0.086 ms


When  I do query on directly on the partition table it is quite fast
itinerary=# EXPLAIN ANALYZE SELECT * FROM itinerary_101 WHERE destination ='GRJ' AND departure_date = '2020-01-01' AND month_day = 101
itinerary-# ;
                                                                           QUERY PLAN
-----------------------------------------------------------------------------------------------------------------------------------------------------------------
 Index Scan using itinerary_101_destination_departure_date_idx on itinerary_101  (cost=0.29..13.73 rows=11 width=1024) (actual time=0.043..0.048 rows=1 loops=1)
   Index Cond: (((destination)::text = 'GRJ'::text) AND ((departure_date)::text = '2020-01-01'::text))
   Filter: (month_day = 101)
 Planning Time: 0.191 ms
 Execution Time: 0.074 ms
(5 rows)

itinerary=#

Can we know why this is happening?





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