From: | Joe Conway <mail(at)joeconway(dot)com> |
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To: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> |
Cc: | "David M(dot) Kaplan" <david(dot)kaplan(at)ird(dot)fr>, Ryan Kelly <rpkelly22(at)gmail(dot)com>, pgsql-general(at)postgresql(dot)org |
Subject: | Re: problem with lost connection while running long PL/R query |
Date: | 2013-05-16 21:40:45 |
Message-ID: | 5195525D.2070907@joeconway.com |
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Lists: | pgsql-general |
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On 05/16/2013 08:40 AM, Tom Lane wrote:
> "David M. Kaplan" <david(dot)kaplan(at)ird(dot)fr> writes:
>> Thanks for the help. You have definitely identified the problem,
>> but I am still looking for a solution that works for me. I tried
>> setting vm.overcommit_memory=2, but this just made the query
>> crash quicker than before, though without killing the entire
>> connection to the database. I imagine that this means that I
>> really am trying to use more memory than the system can handle?
>
>> I am wondering if there is a way to tell postgresql to flush a
>> set of table lines out to disk so that the memory they are using
>> can be liberated.
>
> Assuming you don't have work_mem set to something unreasonably
> large, it seems likely that the excessive memory consumption is
> inside your PL/R function, and not the fault of Postgres per se.
> You might try asking in some R-related forums about how to reduce
> the code's memory usage.
The two "classic" approaches to this with PL/R are either create a
custom aggregate with the PL/R as the final function (i.e. work on one
group at a time) or use the SPI cursor functionality within the PL/R
function and page your data using a cursor. Not all forms of analysis
lend themselves to these approaches, but perhaps yours does.
Ultimately I would like to implement a form of R data.frame that does
the paging with a cursor transparently for you, but I have not been
able to find the time so far.
Joe
- --
Joe Conway
credativ LLC: http://www.credativ.us
Linux, PostgreSQL, and general Open Source
Training, Service, Consulting, & 24x7 Support
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