Re: Terrible performance after deleting/recreating indexes - Mailing list pgsql-performance

From Bill Chandler
Subject Re: Terrible performance after deleting/recreating indexes
Date
Msg-id 20040708204921.4921.qmail@web51407.mail.yahoo.com
Whole thread Raw
In response to Re: Terrible performance after deleting/recreating indexes  (Shridhar Daithankar <shridhar@frodo.hserus.net>)
Responses Re: Terrible performance after deleting/recreating indexes
List pgsql-performance
Thanks for the advice.

On further review it appears I am only getting this
performance degradation when I run the command via
a JDBC app.  If I do the exact same query from
psql, the performance is fine.  I've tried both the
JDBC2 and JDBC3 jars.  Same results.

It definitely seems to correspond to deleting and
recreating the indexes, though.  The same query thru
JDBC worked fine before recreating the indexes.

Does that make any sense at all?

thanks

Bill

--- Shridhar Daithankar <shridhar@frodo.hserus.net>
wrote:
> Bill Chandler wrote:
>
> > Hi,
> >
> > Using PostgreSQL 7.4.2 on Solaris.  I'm trying to
> > improve performance on some queries to my
> databases so
> > I wanted to try out various index structures.
> >
> > Since I'm going to be running my performance tests
> > repeatedly, I created some SQL scripts to delete
> and
> > recreate various index configurations.  One of the
> > scripts contains the commands for recreating the
> > 'original' index configuration (i.e. the one I've
> > already got some numbers for).  Only thing is now
> > when I delete and recreate the original indexes
> then
> > run the query, I'm finding the performance has
> gone
> > completely down the tubes compared to what I
> > originally had.  A query that used to take 5
> minutes
> > to complete now takes hours to complete.
> >
> > For what it's worth my query looks something like:
> >
> > select * from tbl_1, tbl_2 where tbl_1.id =
> tbl_2.id
> > and tbl_2.name like 'x%y%' and tbl_1.x >
> 1234567890123
> > order by tbl_1.x;
> >
> > tbl_1 is very big (> 2 million rows)
> > tbl_2 is relatively small (7000 or so rows)
> > tbl_1.x is a numeric(13)
> > tbl_1.id & tbl_2.id are integers
> > tbl_2.name is a varchar(64)
> >
> > I've run 'VACUUM ANALYZE' on both tables involved
> in
> > the query.  I also used 'EXPLAIN' and observed
> that
> > the query plan is completely changed from what it
> > was originally.
>
> Get an explain analyze. That gives actual v/s
> planned time spent. See what is
> causing the difference. A discrepency between
> planned and actual row is usually
> a indication of out-of-date stats.
>
>
> Which are the indexes on these tables? You should
> list fields with indexes first
> in where clause. Also list most selective field
> first so that it eliminates as
> many rows as possible in first scan.
>
>
> I hope you have read the tuning articles on
> varlena.com and applied some basic
> tuning.
>
> And post the table schema, hardware config,
> postgresql config(important ones of
> course) and  explain analyze for queries. That would
> be something to start with.
>
>   Shridhar
>
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