Query planner plans very inefficient plans
| От | Robert Wille |
|---|---|
| Тема | Query planner plans very inefficient plans |
| Дата | |
| Msg-id | 032101c33f31$0d239910$2264a8c0@zucchini обсуждение исходный текст |
| Ответы |
Re: Query planner plans very inefficient plans
Re: Query planner plans very inefficient plans |
| Список | pgsql-performance |
I have a number of very common queries that the optimizer plans a very inefficient plan. I vacuum hourly. I'm wondering what I can do to make the queries faster.
Here are the relevant tables:
create table image(
imageid integer not null, /* The image's ID */
imageid integer not null, /* The image's ID */
containerid integer not null, /* The container that owns it */
name varchar(120) not null, /* Its name */
name varchar(120) not null, /* Its name */
state bigint not null default 0, /* Its state */
primary key (imageid),
unique (containerid, name) /* All images in a container must be uniquely named */
);
primary key (imageid),
unique (containerid, name) /* All images in a container must be uniquely named */
);
create table ancestry(
containerid integer not null, /* The container that has an ancestor */
ancestorid integer not null, /* The ancestor of the container */
unique (containerid, ancestorid),
unique (ancestorid, containerid)
);
containerid integer not null, /* The container that has an ancestor */
ancestorid integer not null, /* The ancestor of the container */
unique (containerid, ancestorid),
unique (ancestorid, containerid)
);
I have somewhere around 3M rows in the image table, and 37K rows in the ancestry table. The following is representative of some of the common queries I issue:
select * from image natural join ancestry where ancestorid=1000000 and (state & 7::bigint) = 0::bigint;
When I ask postgres to EXPLAIN it, I get the following:
Merge Join (cost=81858.22..81900.60 rows=124 width=49)
-> Sort (cost=81693.15..81693.15 rows=16288 width=41)
-> Seq Scan on image (cost=0.00..80279.17 rows=16288 width=41)
-> Sort (cost=165.06..165.06 rows=45 width=8)
-> Index Scan using ancestry_ancestorid_key on ancestry (cost=0.00..163.83 rows=45 width=8)
-> Sort (cost=81693.15..81693.15 rows=16288 width=41)
-> Seq Scan on image (cost=0.00..80279.17 rows=16288 width=41)
-> Sort (cost=165.06..165.06 rows=45 width=8)
-> Index Scan using ancestry_ancestorid_key on ancestry (cost=0.00..163.83 rows=45 width=8)
It appears to me that the query executes as follows:
1. Scan every row in the image table to find those where (state & 7::bigint) = 0::bigint
2. Sort the results
3. Use an index on ancestry to find rows where ancestorid=1000000
4. Sort the results
5. Join the two
It seems to me that if this query is going to return a small percentage of the rows (which is the common case), it could be done much faster by first joining (all columns involved in the join are indexed), and then by applying the (state & 7::bigint) = 0::bigint constraint to the results.
Similarly, when I update, I get the following:
explain update image set state=0 from ancestry where ancestorid=1000000 and ancestry.containerid=image.containerid and (state & 7::bigint) = 0::bigint;
NOTICE: QUERY PLAN:
Merge Join (cost=81841.92..81884.30 rows=124 width=43)
-> Sort (cost=81676.74..81676.74 rows=16288 width=39)
-> Seq Scan on image (cost=0.00..80279.17 rows=16288 width=39)
-> Sort (cost=165.19..165.19 rows=45 width=4)
-> Index Scan using ancestry_ancestorid_key on ancestry (cost=0.00..163.95 rows=45 width=4)
-> Sort (cost=81676.74..81676.74 rows=16288 width=39)
-> Seq Scan on image (cost=0.00..80279.17 rows=16288 width=39)
-> Sort (cost=165.19..165.19 rows=45 width=4)
-> Index Scan using ancestry_ancestorid_key on ancestry (cost=0.00..163.95 rows=45 width=4)
How can I avoid the sequential scan of the entire image table (i.e. how can I get it to perform the join first)?
Thanks in advance.
Robert Wille
В списке pgsql-performance по дате отправления: