Re: Review: Revise parallel pg_restore's scheduling heuristic

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От Stefan Kaltenbrunner
Тема Re: Review: Revise parallel pg_restore's scheduling heuristic
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Msg-id 4A631A9E.5090601@kaltenbrunner.cc
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Ответ на Re: Review: Revise parallel pg_restore's scheduling heuristic  ("Kevin Grittner" <Kevin.Grittner@wicourts.gov>)
Ответы Re: Review: Revise parallel pg_restore's scheduling heuristic  ("Kevin Grittner" <Kevin.Grittner@wicourts.gov>)
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Kevin Grittner wrote:
> "Kevin Grittner" <Kevin.Grittner@wicourts.gov> wrote: 
>  
>> Performance tests to follow in a day or two.
>  
> I'm looking to beg another week or so on this to run more tests.  What
> I can have by the end of today is pretty limited, mostly because I
> decided it made the most sense to test this with big complex
> databases, and it just takes a fair amount of time to throw around
> that much data.  (This patch didn't seem likely to make a significant
> difference on smaller databases.)
>  
> My current plan is to test this on a web server class machine and a
> distributed application class machine.  Both database types have over
> 300 tables with tables with widely ranging row counts, widths, and
> index counts.
>  
> It would be hard to schedule the requisite time on our biggest web
> machines, but I assume an 8 core 64GB machine would give meaningful
> results.  Any sense what numbers of parallel jobs I should use for
> tests?  I would be tempted to try 1 (with the -1 switch), 8, 12, and
> 16 -- maybe keep going if 16 beats 12.  My plan here would be to have
> the dump on one machine, and run pg_restore there, and push it to a
> database on another machine through the LAN on a 1Gb connection. 
> (This seems most likely to be what we'd be doing in real life.)  I
> would run each test with the CVS trunk tip with and without the patch
> applied.  The database is currently 1.1TB.


you need to be careful here - in my latest round of benchmarking I had 
actually test with the workload generator on the same box because on 
fast boxes we can easily achive >100MB/s total load rate these days.
At these load rates you are very close or over the pratical limits of 
GigE...


Stefan


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