From: | Pallav Kalva <pkalva(at)livedatagroup(dot)com> |
---|---|
To: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> |
Cc: | pgsql-performance(at)postgresql(dot)org |
Subject: | Re: Optimizer Not using the Right plan |
Date: | 2007-12-04 19:15:52 |
Message-ID: | 4755A768.1050401@livedatagroup.com |
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Thread: | |
Lists: | pgsql-performance |
Tom Lane wrote:
> Pallav Kalva <pkalva(at)livedatagroup(dot)com> writes:
>
>> why does it have different plans for different values
>>
>
> Because the values occur different numbers of times (or so it thinks
> anyway). If the rowcount estimates are far from reality, perhaps
> increasing the statistics target would help. However, since you
> only showed EXPLAIN and not EXPLAIN ANALYZE output, no one can
> really tell whether the optimizer did anything wrong here.
>
> regards, tom lane
>
Hi Tom,
Thanks! for your reply, here is an another example of the same query
with different addressid now. This time I got the explain analyze on the
query,
this query also uses the Index Scan Backwards, it says it took 28
seconds but I can say that after looking at the postgres logs it took
more than 2 min
when the query first ran. I ran this one again to get the explain
analyze.
The statistics set to "default_statistics_target = 100"
I am sure if it uses index on addressid it would be quicker but for
some reason it using index backward scan on addressvaluationid and that
is taking too long.
Not only this one there are some other queries which use index scan
backwards scan and it takes too long. Index scan backwards most of the
time is not doing good for me is there any way to avoid it ?
explain analyze
select this_.addressvaluationid as addressv1_150_1_,
this_.sourcereference as sourcere2_150_1_,
this_.createdate as createdate150_1_, this_.valuationdate as
valuatio4_150_1_, this_.valuationamount as valuatio5_150_1_,
this_.valuationhigh as valuatio6_150_1_, this_.valuationlow as
valuatio7_150_1_,
this_.valuationconfidence as valuatio8_150_1_,
this_.valuationchange as valuatio9_150_1_,
this_.historycharturl as history10_150_1_,
this_.regionhistorycharturl as regionh11_150_1_,
this_.fkaddressid as fkaddre12_150_1_,
this_.fkaddressvaluationsourceid as fkaddre13_150_1_,
this_.fkvaluationchangeperiodid as fkvalua14_150_1_,
valuationc2_.valuationchangeperiodid as valuatio1_197_0_,
valuationc2_.name as name197_0_
from listing.addressvaluation this_ left outer join
listing.valuationchangeperiod valuationc2_
on
this_.fkvaluationchangeperiodid=valuationc2_.valuationchangeperiodid
where this_.fkaddressid= 6664161
order by this_.addressvaluationid desc limit 1;
QUERY PLAN
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Limit (cost=0.00..677.69 rows=1 width=494) (actual
time=28454.708..28454.712 rows=1 loops=1)
-> Nested Loop Left Join (cost=0.00..883705.44 rows=1304 width=494)
(actual time=28454.700..28454.700 rows=1 loops=1)
-> Index Scan Backward using
pk_addressvaluation_addressvaluationid on addressvaluation this_
(cost=0.00..883328.22 rows=1304 width=482) (actual
time=28441.236..28441.236 rows=1 loops=1)
Filter: (fkaddressid = 6664161)
-> Index Scan using
pk_valuationchangeperiod_valuationchangeperiodid on
valuationchangeperiod valuationc2_ (cost=0.00..0.28 rows=1 width=12)
(actual time=13.447..13.447 rows=1 loops=1)
Index Cond: (this_.fkvaluationchangeperiodid =
valuationc2_.valuationchangeperiodid)
Total runtime: 28454.789 ms
(7 rows)
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