From: | Jan Ploski <jpljpl(at)gmx(dot)de> |
---|---|
To: | pgsql-general(at)postgresql(dot)org |
Subject: | Re: Creating tons of tables to support a query |
Date: | 2002-09-09 10:52:32 |
Message-ID: | 14629117.1031568752666.JavaMail.jpl@remotejava |
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Lists: | pgsql-general |
On Sun, Sep 08, 2002 at 07:49:32PM -0700, Stephan Szabo wrote:
> On Sun, 8 Sep 2002, Jan Ploski wrote:
>
> > I am in particular wondering, why an index on message(sectionID, dateSent)
> > does not make these queries comparably fast:
> >
> > select msgnum from message where
> > sectionID = ? and
> > dateSent > ?
> > order by dateSent
> > limit 1;
>
> I don't think that'll use an index on (sectionID, dateSent) for the sort
> step. I think an index on (dateSent,sectionID) might be, however.
Stephan,
Indeed, my mistake. With an index on (dateSent,sectionID), the plan becomes:
Limit (cost=0.00..2.36 rows=1 width=10)
-> Index Scan using test_idx2 on message (cost=0.00..10482.08 rows=4449 width=10)
Alas, this does not help me further. I did two tests:
Test 1: Section 9 contained 5143 messages.
Test 2: Section 241 contained 0 messages.
The timing results (for 5000 queries) are:
1. Using index on message(dateSent, sectionID): 11 seconds
Using index on scnt_9(dateSent): 17 seconds
2. Using index on message(dateSent, sectionID): 320 seconds
Using index on scnt_241(dateSent): 2 seconds
The problem is that (apparently?) the whole (dateSent, sectionID) index
must be scanned in the second test, while the scnt_241 index simply
contains no values and yields quick results.
Since the auxiliary tables speed up things so much and behave well
for sections with few messages, I tend to believe that this is the
way to go for me. Two questions remain open: what kind of overheads
do I incur by creating that many tables (hundreds, maybe thousands
in the future)? And, second, since there is no support for pl/pgSQL
"execute select ... into" in 7.1.3, I need to collect results
inserted into a temporary table. Is this kind of "execute" statement
implemented in the newest version of PostgreSQL yet?
Take care -
JPL
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