From: Rainer Pruy <Rainer.Pruy@Acrys.COM>
To: Craig Ringer <craig@postnewspapers.com.au>
Cc: pgsql-performance@postgresql.org
Subject: Re: Very slow (2 tuples/second) sequential scan after bulk insert; speed returns to ~500 tuples/second after commit
Date: Mon, 10 Mar 2008 17:55:43 +0100
Message-ID: <47D5680F.6080508@acrys.com> (raw)
In-Reply-To: <47D51B7D.4010800@postnewspapers.com.au>
References: <47D505AF.4040101@postnewspapers.com.au>
<47D5150C.8090802@enterprisedb.com>
<47D51B7D.4010800@postnewspapers.com.au>
We experienced a similar degradation,
when heavily using savepoints within a single transaction.
However, we had not yet enough time to really investigate the issue.
It also was not directly reproducible using a (small) set of statements from a script.
As the overall scenario "bulk loads with sub-transactions" is close to the scenario we do run, it might come down to the same reason, so.
Thus take my vote for a solution that does not end up with "don't use (sub-) transactions".
Regards,
Rainer
Craig Ringer schrieb:
> Thanks for the extremely helpful response. I don't think I would've
> spotted that one in a hurry.
>
>> You must be having an exception handler block in that pl/pgsql
>> function, which implicitly creates a new subtransaction on each
>> invocation of the exception handler block, so you end up with hundreds
>> of thousands of committed subtransactions.
>
> Aah - yes, there is. I didn't realize it'd have such an impact. I can
> work around the need for it by explicitly checking the table constraints
> in the function - in which case an uncaught exception will terminate the
> transaction, but should only arise when I've missed a constraint check.
>
>> For 8.4, it would be nice to improve that. I tested that on my laptop
>> with a similarly-sized table, inserting each row in a pl/pgsql
>> function with an exception handler, and I got very similar run times.
>> According to oprofile, all the time is spent in
>> TransactionIdIsInProgress. I think it would be pretty straightforward
>> to store the committed subtransaction ids in a sorted array, instead
>> of a linked list, and binary search. Or to use a hash table. That
>> should eliminate this problem, though there is still other places as
>> well where a large number of subtransactions will hurt performance.
>
> That does sound interesting - and it would be nice to be able to use
> exception handlers this way without too huge a performance hit. In the
> end though it's something that can be designed around once you're aware
> of it - and I'm sure that other ways of storing that data have their own
> different costs and downsides.
>
> What might also be nice, and simpler, would be a `notice', `log', or
> even `debug1' level warning telling the user they've reached an absurd
> number of subtransactions that'll cripple PostgreSQL's performance - say
> 100,000. There's precedent for this in the checkpoint frequency warning
> 8.3 produces if checkpoints are becoming too frequent - and like that
> warning it could be configurable for big sites. If you think that's sane
> I might have a go at it - though I mostly work in C++ so the result
> probably won't be too pretty initially.
>
> --
> Craig Ringer
>
--
Rainer Pruy
Geschäftsführer
Acrys Consult GmbH & Co. KG
Untermainkai 29-30, D-60329 Frankfurt
Tel: +49-69-244506-0 - Fax: +49-69-244506-50
Web: http://www.acrys.com - Email: office@acrys.com
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To: pgsql-performance@postgresql.org
Cc: Rainer.Pruy@Acrys.COM, craig@postnewspapers.com.au
Subject: Re: Very slow (2 tuples/second) sequential scan after bulk insert; speed returns to ~500 tuples/second after commit
In-Reply-To: <47D5680F.6080508@acrys.com>
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