On Wed, 28 Sep 2005, Rajesh Kumar Mallah wrote:
> > > Number of Copies | Update perl Sec
> > >
> > > 1 --> 119
> > > 2 ---> 59
> > > 3 ---> 38
> > > 4 ---> 28
> > > 5 --> 22
> > > 6 --> 19
> > > 7 --> 16
> > > 8 --> 14
> > > 9 --> 11
> > > 10 --> 11
> > > 11 --> 10
> > So, 11 instances result in 10 updated rows per second, database wide or
> > per instance? If it is per instance, then 11 * 10 is close to the
> > performance for one connection.
> Sorry do not understand the difference between "database wide"
> and "per instance"
> > That being said, when you've got 10 connections fighting over one row, I
> > wouldn't be surprised if you had bad performance.
> > Also, at 119 updates a second, you're more than doubling the table's
> > initial size (dead tuples) each second. How often are you vacuuming and
> > are you using vacuum or vacuum full?
> Yes I realize the obvious phenomenon now, (and the uselessness of the script)
> , we should not consider it a performance degradation.
> I am having performance issue in my live database thats why i tried to
> simulate the situation(may the the script was overstresser).
> My original problem is that i send 100 000s of emails carrying a
> beacon for tracking readership every tuesday and on wednesday i see
> lot of the said query in pg_stat_activity each of these query update
> the SAME row that corresponds to the dispatch of last day and it is
> then i face the performance problem.
> I think i can only post further details next wednesday , please lemme
> know how should i be dealing with the situation if each the updates takes
> 100times more time that normal update duration.
I see. These problems regularly come up in database design. The best thing
you can do is modify your database design/application such that instead of
incrementing a count in a single row, you insert a row into a table,
recording the 'dispatch_id'. Counting the number of rows for a given
dispatch id will give you your count.
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