[postgis-users] Parallelisation provides powerful postgis performance perks (script + ppt slides) [x-posted: pgsql-performance]

David Haynes haynesd2 at gmail.com
Thu Jul 23 07:24:27 PDT 2015


I am a researcher at the University of Minnesota, US. who is working on a
project that uses PostGIS as our platform. I have been researching a number
of PostgreSQL platforms that claim to support parallelizing PostGIS or
geographic analysis. I am interested to learn more about the wrapper you
have written. Have you looked into the other platforms such at pg_shard
(CitusDB), or postgres-xl? We have not found them effective for actually
distributing a spatial query. However, I will test your code out in our use

When I briefly look at the text you have written in the "Quick Example" It
seems that you are distributing your query by an ID field. I am wondering
how your method would apply to raster datasets? Distributing geographic
data by an ID can get you into problems because of the dependency for
certain analytical functions.

This sounds great, hope to hear back from you soon.

On Thu, Jul 23, 2015 at 8:54 AM, Graeme B. Bell <graeme.bell at nibio.no>

> Hi all,
> Do you run map intersections between national scale geometry maps in
> postgis? (or other long-running GIS operations?)
> Do you hate that feeling of waiting all day/week for the query to complete?
> Well, here's a solution for you.
> 1. For those that don't like par_psql (http://github.com/gbb/par_psql),
> this alternative approach uses the Gnu Parallel command to organise
> parallelism for queries that take days to run usually. We saw up to 20x
> performance improvements here, a day's work in one hour. May give you a few
> ideas about how to parallelise your own code with Gnu Parallel.
> https://github.com/gbb/fast_map_intersection
> 2. Also, I gave a talk at FOSS4G Como about these tools (and a few
> others), and how to get better performance from your PostGIS database with
> parallelisation.
> This may be helpful to people who are new to parallelisation / multi-core
> work with postgres for GIS work.
> http://graemebell.net/foss4gcomo.pdf
> Enjoy,
> Graeme Bell.
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