Re: PostgreSQL strange query plan for my query - Mailing list pgsql-performance
| From | David Popiashvili |
|---|---|
| Subject | Re: PostgreSQL strange query plan for my query |
| Date | |
| Msg-id | BLU002-W71B7396E1D8CEE63229C2CD1510@phx.gbl Whole thread Raw |
| In response to | Re: PostgreSQL strange query plan for my query ("Albe Laurenz" <laurenz.albe@wien.gv.at>) |
| Responses |
Re: PostgreSQL strange query plan for my query
|
| List | pgsql-performance |
All right, after some discussion on StackOverflow, we found out that incorrect query plan is generated due to the fact that there is a LIMIT keyword in the query. I guess Postgresql expects to find appropriate rows faster and that's why it generates a seq scan on the table. If I remove LIMIT 1000 everything is executed in several milliseconds and query plan looks like this:
Hash Join (cost=2662004.85..14948213.44 rows=22661658 width=138) (actual time=0.105..0.105 rows=0 loops=1)
Hash Cond: (p."PaymentOrderId" = po."Id")
-> Seq Scan on "Payments" p (cost=0.00..5724570.00 rows=350000000 width=18) (actual time=0.018..0.018 rows=1 loops=1)
-> Hash (cost=2583365.85..2583365.85 rows=2614480 width=120) (actual time=0.046..0.046 rows=0 loops=1)
Buckets: 8192 Batches: 64 Memory Usage: 0kB
-> Hash Join (cost=904687.05..2583365.85 rows=2614480 width=120) (actual time=0.046..0.046 rows=0 loops=1)
Hash Cond: (po."UserId" = u."Id")
-> Seq Scan on "PaymentOrders" po (cost=0.00..654767.00 rows=40000000 width=24) (actual time=0.003..0.003 rows=1 loops=1)
-> Hash (cost=850909.04..850909.04 rows=1980881 width=96) (actual time=0.016..0.016 rows=0 loops=1)
Buckets: 8192 Batches: 32 Memory Usage: 0kB
-> Hash Join (cost=1.20..850909.04 rows=1980881 width=96) (actual time=0.016..0.016 rows=0 loops=1)
Hash Cond: (u."RoleId" = r."Id")
-> Seq Scan on "Users" u (cost=0.00..718598.20 rows=30000220 width=80) (actual time=0.002..0.002 rows=1 loops=1)
-> Hash (cost=1.19..1.19 rows=1 width=16) (actual time=0.009..0.009 rows=0 loops=1)
Buckets: 1024 Batches: 1 Memory Usage: 0kB
-> Seq Scan on "Roles" r (cost=0.00..1.19 rows=1 width=16) (actual time=0.009..0.009 rows=0 loops=1)
Filter: (("Name")::text = 'Moses2333'::text)
Rows Removed by Filter: 15
Total runtime: 0.209 ms
According to Erwin Brandstetter I also tried pushing the query in a subquery and applying LIMIT there:
SELECT *
FROM (
SELECT *
FROM "Roles" AS r
JOIN "Users" AS u ON u."RoleId" = r."Id"
JOIN "PaymentOrders" AS po ON po."UserId" = u."Id"
JOIN "Payments" AS p ON p."PaymentOrderId" = po."Id"
WHERE r."Name" = 'Moses'
) x
LIMIT 1000;
but this solution also generates incorrect query plan. Any idea how to solve this query without omitting LIMIT keyword?
Thanks
> Subject: RE: [PERFORM] PostgreSQL strange query plan for my query
> Date: Fri, 16 Nov 2012 13:55:41 +0100
> From: laurenz.albe@wien.gv.at
> To: dato0011@hotmail.com; pgsql-performance@postgresql.org
>
> David Popiashvili wrote:
> > I have database with few hundred millions of rows. I'm running the
> following query:
> >
> > select * from "Payments" as p
> > inner join "PaymentOrders" as po
> > on po."Id" = p."PaymentOrderId"
> > inner join "Users" as u
> > On u."Id" = po."UserId"
> > INNER JOIN "Roles" as r
> > on u."RoleId" = r."Id"
> > Where r."Name" = 'Moses'
> > LIMIT 1000
> > When the where clause finds a match in database, I get the result in
> several milliseconds, but if I
> > modify the query and specify a non-existent r."Name" in where clause,
> it takes too much time to
> > complete. I guess that PostgreSQL is doing a sequential scan on the
> Payments table (which contains the
> > most rows), comparing each row one by one.
> > Isn't postgresql smart enough to check first if Roles table contains
> any row with Name 'Moses'?
> >
> > Roles table contains only 15 row, while Payments contains ~350
> million.
> >
> > I'm running PostgreSQL 9.2.1.
>
> > Here'e explain analyse results: http://explain.depesz.com/s/7e7
>
> Can you also show the plan for the good case?
>
> Yours,
> Laurenz Albe
> Date: Fri, 16 Nov 2012 13:55:41 +0100
> From: laurenz.albe@wien.gv.at
> To: dato0011@hotmail.com; pgsql-performance@postgresql.org
>
> David Popiashvili wrote:
> > I have database with few hundred millions of rows. I'm running the
> following query:
> >
> > select * from "Payments" as p
> > inner join "PaymentOrders" as po
> > on po."Id" = p."PaymentOrderId"
> > inner join "Users" as u
> > On u."Id" = po."UserId"
> > INNER JOIN "Roles" as r
> > on u."RoleId" = r."Id"
> > Where r."Name" = 'Moses'
> > LIMIT 1000
> > When the where clause finds a match in database, I get the result in
> several milliseconds, but if I
> > modify the query and specify a non-existent r."Name" in where clause,
> it takes too much time to
> > complete. I guess that PostgreSQL is doing a sequential scan on the
> Payments table (which contains the
> > most rows), comparing each row one by one.
> > Isn't postgresql smart enough to check first if Roles table contains
> any row with Name 'Moses'?
> >
> > Roles table contains only 15 row, while Payments contains ~350
> million.
> >
> > I'm running PostgreSQL 9.2.1.
>
> > Here'e explain analyse results: http://explain.depesz.com/s/7e7
>
> Can you also show the plan for the good case?
>
> Yours,
> Laurenz Albe
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