>
>Hi everyone,
>
>I've written a new open source tool for easily parallelising SQL scripts in 
>postgres.   [obligatory plug:   https://github.com/gbb/par_psql   ]
>
>Using it, I'm seeing a problem that I've also seen in other postgres projects 
>involving high degrees of parallelisation in the last 12 months.
>
>Basically:
>
>- I have machines here with up to 16 CPU cores and 128GB memory, very fast 
>SSDs and controller etc, carefully configured kernel/postgresql.conf for high 
>performance.
>
>- Ordinary queries parallelise nearly perfectly (e.g. SELECT some_stuff ...), 
>e.g. almost up to 16x performance improvement.
>
>- Non-DB stuff like GDAL, python etc. parallelise nearly perfectly.
>
>- HOWEVER calls to CPU-intensive user-defined pl/pgsql functions (e.g. SELECT 
>myfunction(some_stuff)) do not parallelise well, even when they are 
>independently defined functions, or accessing tables in a read-only way. They 
>hit a limit of 2.5x performance improvement relative to single-CPU performance 
>(pg9.4) and merely 2x performance (pg9.3) regardless of how many CPU cores I 
>throw at them. This is about 6 times slower than I'm expecting.
>
>
>I can't see what would be locking. It seems like it's the pl/pgsql environment 
>itself that is somehow locking or incurring some huge frictional costs. 
>Whether I use independently defined functions, independent source tables, 
>independent output tables, makes no difference whatsoever, so it doesn't feel 
>'lock-related'. It also doesn't seem to be WAL/synchronisation related, as the 
>machines I'm using can hit absurdly high pgbench rates, and I'm using unlogged 
>tables for output.
>
>Take a quick peek here: 
>https://github.com/gbb/par_psql/blob/master/BENCHMARKS.md
>
>I'm wondering what I'm missing here. Any ideas?
>
>Graeme.
>

auto explain might help giving some insight in what's going on: 
http://www.postgresql.org/docs/9.4/static/auto-explain.html

Regards, 
Marc Mamin

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