Re: BUG #8013: Memory leak

From: Rae Stiening <stiening(at)comcast(dot)net>
To: Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us>
Cc: pgsql-bugs(at)postgresql(dot)org
Subject: Re: BUG #8013: Memory leak
Date: 2013-03-31 19:59:39
Message-ID: FDF3405F-45DB-434B-8764-757F563DFDB2@comcast.net
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I found that by replacing the postgresql.conf file with the original that is present following an initdb the query ran without a memory problem. I looked at the "bad" configuration file and couldn't see anything wrong with it. I regret that because of a typing error the bad file was accidentally deleted. I have subsequently been unable to reproduce the bad behavior. After editing the original file to be the same as what I had intended for the erased file the query still ran without a problem. Memory usage topped out at about 2.1 GB. Even setting work_mem and maintenance_work_mem to 30000MB did not change the maximum memory usage during the query.

Regards,
Rae Stiening

On Mar 31, 2013, at 1:16 PM, Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> wrote:

> stiening(at)comcast(dot)net writes:
>> The query:
>> SELECT pts_key,count(*)
>> FROM tm_tm_pairs GROUP BY pts_key HAVING count(*) !=1 ORDER BY
>> pts_key
>
>> Which is executed as:
>> GroupAggregate (cost=108680937.80..119278286.60 rows=470993280 width=4)
>> Filter: (count(*) <> 1)
>> -> Sort (cost=108680937.80..109858421.00 rows=470993280 width=4)
>> Sort Key: pts_key
>> -> Seq Scan on tm_tm_pairs (cost=0.00..8634876.80 rows=470993280
>> width=4)
>
>> uses all available memory (32GB). pts_key is an integer and the table
>> contains about 500 million rows.
>
> That query plan doesn't look like it should produce any undue memory
> consumption on the server side. How many distinct values of pts_key are
> there, and what are you using to collect the query result client-side?
> psql, for instance, would try to absorb the whole query result
> in-memory, so there'd be a lot of memory consumed by psql if there are
> a lot of pts_key values. (You can set FETCH_COUNT to alleviate that.)
>
> A different line of thought is that you might have set work_mem to
> an unreasonably large value --- the sort step will happily try to
> consume work_mem worth of memory.
>
> regards, tom lane

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