Re: Query never completes with low work_mem (at least not within one hour)

From: Daniel Westermann <daniel(dot)westermann(at)dbi-services(dot)com>
To: Pavel Stehule <pavel(dot)stehule(at)gmail(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 07:28:03
Message-ID: 1837861226.253099.1491377283719.JavaMail.zimbra@dbi-services.com
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>>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)

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