[openstack-dev] [infra] [gate] [all] openstack services footprint lead to oom-kill in the gate
Armando M.
armamig at gmail.com
Thu Feb 2 20:32:55 UTC 2017
On 2 February 2017 at 12:19, Sean Dague <sean at dague.net> wrote:
> On 02/02/2017 02:28 PM, Armando M. wrote:
> >
> >
> > On 2 February 2017 at 10:08, Sean Dague <sean at dague.net
> > <mailto:sean at dague.net>> wrote:
> >
> > On 02/02/2017 12:49 PM, Armando M. wrote:
> > >
> > >
> > > On 2 February 2017 at 08:40, Sean Dague <sean at dague.net <mailto:
> sean at dague.net>
> > > <mailto:sean at dague.net <mailto:sean at dague.net>>> wrote:
> > >
> > > On 02/02/2017 11:16 AM, Matthew Treinish wrote:
> > > <snip>
> > > > <oops, forgot to finish my though>
> > > >
> > > > We definitely aren't saying running a single worker is how
> > we recommend people
> > > > run OpenStack by doing this. But it just adds on to the
> > differences between the
> > > > gate and what we expect things actually look like.
> > >
> > > I'm all for actually getting to the bottom of this, but
> > honestly real
> > > memory profiling is needed here. The growth across projects
> > probably
> > > means that some common libraries are some part of this. The
> > ever growing
> > > requirements list is demonstrative of that. Code reuse is
> > good, but if
> > > we are importing much of a library to get access to a couple of
> > > functions, we're going to take a bunch of memory weight on that
> > > (especially if that library has friendly auto imports in top
> level
> > > __init__.py so we can't get only the parts we want).
> > >
> > > Changing the worker count is just shuffling around deck chairs.
> > >
> > > I'm not familiar enough with memory profiling tools in python
> > to know
> > > the right approach we should take there to get this down to
> > individual
> > > libraries / objects that are containing all our memory. Anyone
> > more
> > > skilled here able to help lead the way?
> > >
> > >
> > > From what I hear, the overall consensus on this matter is to
> determine
> > > what actually caused the memory consumption bump and how to
> > address it,
> > > but that's more of a medium to long term action. In fact, to me
> > this is
> > > one of the top priority matters we should talk about at the
> > imminent PTG.
> > >
> > > For the time being, and to provide relief to the gate, should we
> > want to
> > > lock the API_WORKERS to 1? I'll post something for review and see
> how
> > > many people shoot it down :)
> >
> > I don't think we want to do that. It's going to force down the
> eventlet
> > API workers to being a single process, and it's not super clear that
> > eventlet handles backups on the inbound socket well. I honestly would
> > expect that creates different hard to debug issues, especially with
> high
> > chatter rates between services.
> >
> >
> > I must admit I share your fear, but out of the tests that I have
> > executed so far in [1,2,3], the house didn't burn in a fire. I am
> > looking for other ways to have a substantial memory saving with a
> > relatively quick and dirty fix, but coming up empty handed thus far.
> >
> > [1] https://review.openstack.org/#/c/428303/
> > [2] https://review.openstack.org/#/c/427919/
> > [3] https://review.openstack.org/#/c/427921/
>
> This failure in the first patch -
> http://logs.openstack.org/03/428303/1/check/gate-tempest-
> dsvm-neutron-full-ubuntu-xenial/71f42ea/logs/screen-n-
> api.txt.gz?level=TRACE#_2017-02-02_19_14_11_751
> looks exactly like I would expect by API Worker starvation.
>
Not sure I agree on this one, this has been observed multiple times in the
gate already [1] (though I am not sure there's a bug for it), and I don't
believe it has anything to do with the number of API workers, unless not
even two workers are enough.
[1]
http://logstash.openstack.org/#dashboard/file/logstash.json?query=message%3A%5C%22('Connection%20aborted.'%2C%20BadStatusLine(%5C%22''%5C%22%2C)%5C%22
> -Sean
>
> --
> Sean Dague
> http://dague.net
>
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