Re: [BUGS] BUG #14729: Between operator is slow when same value usedfor low and high margin
| От | Pavel Tavoda |
|---|---|
| Тема | Re: [BUGS] BUG #14729: Between operator is slow when same value usedfor low and high margin |
| Дата | |
| Msg-id | CAMRASb+dXq9+sw3dVLjSp=080OC0v3pS0mMO+ZEoMqc5W_OfGA@mail.gmail.com обсуждение исходный текст |
| Ответ на | Re: [BUGS] BUG #14729: Between operator is slow when same value used for low and high margin (Tom Lane <tgl@sss.pgh.pa.us>) |
| Список | pgsql-bugs |
Hello, after 'VACUUM FULL VERBOSE ANALYZE' of both tables still very strange results:
VACUUM FULL VERBOSE ANALYZE contractportfolio;
VACUUM FULL VERBOSE ANALYZE contract;
EXPLAIN ANALYZE SELECT count(*) FROM contractportfolio cp JOIN contract co ON cp.contract = co.id WHERE validfor = '2017-05-31';
Aggregate (cost=87255.63..87255.64 rows=1 width=0) (actual time=488.634..488.635 rows=1 loops=1)
-> Hash Join (cost=424.96..87208.66 rows=18789 width=0) (actual time=6.160..482.780 rows=20426 loops=1)
Hash Cond: (cp.contract = co.id)
-> Seq Scan on contractportfolio cp (cost=0.00..86384.44 rows=18789 width=8) (actual time=0.025..456.431 rows=20426 loops=1)
Filter: (validfor = '2017-05-31'::date)
Rows Removed by Filter: 2966971
-> Hash (cost=334.98..334.98 rows=7198 width=8) (actual time=6.125..6.125 rows=7198 loops=1)
Buckets: 1024 Batches: 1 Memory Usage: 197kB
-> Seq Scan on contract co (cost=0.00..334.98 rows=7198 width=8) (actual time=0.003..2.931 rows=7198 loops=1)
Planning time: 0.329 ms
Execution time: 488.674 ms
EXPLAIN ANALYZE SELECT count(*) FROM contractportfolio cp JOIN contract co ON cp.contract = co.id WHERE validfor between '2017-05-30' AND '2017-05-31';
Aggregate (cost=94304.35..94304.36 rows=1 width=0) (actual time=528.667..528.667 rows=1 loops=1)
-> Hash Join (cost=424.96..94301.58 rows=1106 width=0) (actual time=6.198..517.042 rows=40844 loops=1)
Hash Cond: (cp.contract = co.id)
-> Seq Scan on contractportfolio cp (cost=0.00..93853.12 rows=1106 width=8) (actual time=0.022..474.856 rows=40844 loops=1)
Filter: ((validfor >= '2017-05-30'::date) AND (validfor <= '2017-05-31'::date))
Rows Removed by Filter: 2946553
-> Hash (cost=334.98..334.98 rows=7198 width=8) (actual time=6.166..6.166 rows=7198 loops=1)
Buckets: 1024 Batches: 1 Memory Usage: 197kB
-> Seq Scan on contract co (cost=0.00..334.98 rows=7198 width=8) (actual time=0.004..2.960 rows=7198 loops=1)
Planning time: 0.340 ms
Execution time: 528.708 ms
EXPLAIN ANALYZE SELECT count(*) FROM contractportfolio cp JOIN contract co ON cp.contract = co.id WHERE validfor between '2017-05-31' AND '2017-05-31'
Aggregate (cost=94278.08..94278.09 rows=1 width=0) (actual time=93832.610..93832.610 rows=1 loops=1)
-> Nested Loop (cost=0.00..94278.08 rows=1 width=0) (actual time=2.042..93822.069 rows=20426 loops=1)
Join Filter: (cp.contract = co.id)
Rows Removed by Join Filter: 147005922
-> Seq Scan on contractportfolio cp (cost=0.00..93853.12 rows=1 width=8) (actual time=0.023..487.343 rows=20426 loops=1)
Filter: ((validfor >= '2017-05-31'::date) AND (validfor <= '2017-05-31'::date))
Rows Removed by Filter: 2966971
-> Seq Scan on contract co (cost=0.00..334.98 rows=7198 width=8) (actual time=0.001..2.165 rows=7198 loops=20426)
Planning time: 0.333 ms
Execution time: 93832.656 ms
Same problem... here is something wrong with optimization.
The problem is shown when both dates are same it doesn't matter which date. Same result for 2017-05-12.
Regards
/Pavel
On Jul 4, 2017 07:15, "Tom Lane" <tgl@sss.pgh.pa.us> wrote:
Pavel Tavoda <pavel.tavoda@gmail.com> writes:
> -> Seq Scan on contractportfolio cp (cost=0.00..109171.90 rows=1 width=8) (actual time=0.009..486.918 rows=20426 loops=1)
> Filter: ((validfor >= '2017-05-31'::date) AND (validfor <= '2017-05-31'::date))
> STUNNING!!!!
Yup, it's certainly that factor-of-20K rowcount misestimate that is
killing you here. Given that this estimate isn't too bad:
> -> Seq Scan on contractportfolio cp (cost=0.00..101496.91 rows=20197 width=8) (actual time=0.009..463.063 rows=20426 loops=1)
> Filter: (validfor = '2017-05-31'::date)
I do not think your problem is one of out-of-date statistics. Rather,
the issue is just that we're bad at narrow range estimates. I did
some work on that today[1] but it won't show up in a released PG version
before next year. In the meantime, I believe that the existing code would
arrive at a plausible answer if the value being checked were present in
the column's pg_stats.most_common_vals list. Maybe you could fix this
by increasing the statistics target for the column or the whole table
(and re-analyzing it, of course).
regards, tom lane
[1] https://www.postgresql.org/message-id/12232.1499140410%40sss .pgh.pa.us
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