Re: Out of Memory errors are frustrating as heck!

Tomas Vondra <tomas.vondra@2ndquadrant.com>

From: Tomas Vondra <tomas.vondra@2ndquadrant.com>
To: Tom Lane <tgl@sss.pgh.pa.us>
Cc: Justin Pryzby <pryzby@telsasoft.com>, Gunther <raj@gusw.net>, pgsql-performance@lists.postgresql.org, Jeff Janes <jeff.janes@gmail.com>, Alvaro Herrera <alvherre@2ndquadrant.com>
Date: 2019-04-20T20:36:50Z
Lists: pgsql-performance
On Sat, Apr 20, 2019 at 04:26:34PM -0400, Tom Lane wrote:
>Tomas Vondra <tomas.vondra@2ndquadrant.com> writes:
>> Considering how rare this issue likely is, we need to be looking for a
>> solution that does not break the common case.
>
>Agreed.  What I think we need to focus on next is why the code keeps
>increasing the number of batches.  It seems like there must be an undue
>amount of data all falling into the same bucket ... but if it were simply
>a matter of a lot of duplicate hash keys, the growEnabled shutoff
>heuristic ought to trigger.
>

I think it's really a matter of underestimate, which convinces the planner
to hash the larger table. In this case, the table is 42GB, so it's
possible it actually works as expected. With work_mem = 4MB I've seen 32k
batches, and that's not that far off, I'd day. Maybe there are more common
values, but it does not seem like a very contrived data set.

regards

-- 
Tomas Vondra                  http://www.2ndQuadrant.com
PostgreSQL Development, 24x7 Support, Remote DBA, Training & Services




Commits

  1. Consider BufFiles when adjusting hashjoin parameters

  2. Allocate hash join files in a separate memory context