From: | Pavel Stehule <pavel(dot)stehule(at)gmail(dot)com> |
---|---|
To: | Daniel Westermann <daniel(dot)westermann(at)dbi-services(dot)com> |
Cc: | Merlin Moncure <mmoncure(at)gmail(dot)com>, PostgreSQL General <pgsql-general(at)postgresql(dot)org> |
Subject: | Re: Query never completes with low work_mem (at least not within one hour) |
Date: | 2017-04-05 08:21:05 |
Message-ID: | CAFj8pRAD7O50aN-+SwL6Xm+Vho2v9wiHZ38uFti1erH_-8V=Bg@mail.gmail.com |
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Lists: | pgsql-general |
2017-04-05 10:13 GMT+02:00 Daniel Westermann <
daniel(dot)westermann(at)dbi-services(dot)com>:
> 2017-04-05 9:28 GMT+02:00 Daniel Westermann <daniel(dot)westermann(at)dbi-
> services.com>:
>
>> >>what is result of EXPLAIN statement for slow and fast cases?
>> >>
>> >>regards
>> >>
>> >>Pavel
>>
>> For work_mem=32MB
>>
>> explain (analyze,verbose,buffers) select count(user_id) from users where
>> user_id not in ( select id from ids);
>> QUERY
>> PLAN
>> ------------------------------------------------------------
>> ------------------------------------------------------------
>> --------------
>> Aggregate (cost=83175.01..83175.02 rows=1 width=8) (actual
>> time=7945.592..7945.593 rows=1 loops=1)
>> Output: count(users.user_id)
>> Buffers: shared read=29425
>> -> Seq Scan on public.users (cost=16925.01..79425.01 rows=1500000
>> width=4) (actual time=1928.665..5888.645 rows=2499999 loops=1)
>> Output: users.user_id, users.username
>> Filter: (NOT (hashed SubPlan 1))
>> Rows Removed by Filter: 500001
>> Buffers: shared read=29425
>> SubPlan 1
>> -> Seq Scan on public.ids (cost=0.00..14425.01 rows=1000001
>> width=4) (actual time=11.111..868.382 rows=1000001 loops=1)
>> Output: ids.id
>> Buffers: shared read=4425
>> Planning time: 187.396 ms
>> Execution time: 7948.108 ms
>> (14 rows)
>>
>> Time: 8244.493 ms
>>
>> For work_mem='16MB' it does not complete with analyze in on hour. For
>> explain only:
>>
>> explain (verbose) select count(user_id) from users where user_id not in
>> ( select id from ids);
>> QUERY
>> PLAN
>> ------------------------------------------------------------
>> ----------------------------
>> Aggregate (cost=38748092500.00..38748092500.01 rows=1 width=8)
>> Output: count(users.user_id)
>> -> Seq Scan on public.users (cost=0.00..38748088750.00 rows=1500000
>> width=4)
>> Output: users.user_id, users.username
>> Filter: (NOT (SubPlan 1))
>> SubPlan 1
>> -> Materialize (cost=0.00..23332.01 rows=1000001 width=4)
>> Output: ids.id
>> -> Seq Scan on public.ids (cost=0.00..14425.01
>> rows=1000001 width=4)
>> Output: ids.id
>> (10 rows)
>>
>
> >There is a materialize op more
> >
> >do you have a index on ids.id?
>
> Yes:
>
> \d ids
> Table "public.ids"
> Column | Type | Modifiers
> --------+---------+-----------
> id | integer |
> Indexes:
> "i_ids" UNIQUE, btree (id)
>
>
hmm .. NOT IN is just bad :(
The second is slow becase table ids is stored in temp file. and it is
repeatedly read from file. In first case, ids table is stored in memory.
SELECT count(user_id) FROM users WHERE user_id NOT EXISTS(SELECT id from
ids where id = user_id)
Regards
Pavel
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