Re: Postgres chooses slow query plan from time to time
От | Tom Lane |
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Тема | Re: Postgres chooses slow query plan from time to time |
Дата | |
Msg-id | 589350.1631628930@sss.pgh.pa.us обсуждение исходный текст |
Ответ на | Re: Postgres chooses slow query plan from time to time (Kristjan Mustkivi <sonicmonkey@gmail.com>) |
Ответы |
Re: Postgres chooses slow query plan from time to time
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Список | pgsql-performance |
Kristjan Mustkivi <sonicmonkey@gmail.com> writes: > -> Index Scan Backward using player_balance_history_idx2 on > mytable pbh (cost=0.70..21639.94 rows=3885 width=66) (actual > time=5934.153..5934.153 rows=1 loops=1) > Index Cond: ((cage_code = $3) AND (cage_player_id = > $2) AND (modified_time < $5)) > Filter: (((product_code)::text = ($1)::text) AND > ((balance_type)::text = ($4)::text)) > Rows Removed by Filter: 95589 > Buffers: shared hit=7623 read=18217 So indeed, the core issue is that that filter condition is very selective, and applying it after the index scan is expensive. Perhaps it would help to create an index that includes those columns along with cage_code and cage_player_id. (It's not clear whether to bother with modified_time in this specialized index, but if you do include it, it needs to be the last column since you're putting a non-equality condition on it.) regards, tom lane
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