Re: ceph mgr balancer bad distribution

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On Thu, Mar 1, 2018 at 9:31 AM, Stefan Priebe - Profihost AG
<s.priebe@xxxxxxxxxxxx> wrote:
> Hi,
> Am 01.03.2018 um 09:03 schrieb Dan van der Ster:
>> Is the score improving?
>>
>>     ceph balancer eval
>>
>> It should be decreasing over time as the variances drop toward zero.
>>
>> You mentioned a crush optimize code at the beginning... how did that
>> leave your cluster? The mgr balancer assumes that the crush weight of
>> each OSD is equal to its size in TB.
>> Do you have any osd reweights? crush-compat will gradually adjust
>> those back to 1.0.
>
> I reweighted them all back to their correct weight.
>
> Now the mgr balancer module says:
> mgr[balancer] Failed to find further optimization, score 0.010646
>
> But as you can see it's heavily imbalanced:
>
>
> Example:
> 49   ssd 0.84000  1.00000   864G   546G   317G 63.26 1.13  49
>
> vs:
>
> 48   ssd 0.84000  1.00000   864G   397G   467G 45.96 0.82  49
>
> 45% usage vs. 63%

Ahh... but look, the num PGs are perfectly balanced, which implies
that you have a relatively large number of empty PGs.

But regardless, this is annoying and I expect lots of operators to get
this result. (I've also observed that the num PGs is gets balanced
perfectly at the expense of the other score metrics.)

I was thinking of a patch around here [1] that lets operators add a
score weight on pgs, objects, bytes so we can balance how we like.

Spandan: you were the last to look at this function. Do you think it
can be improved as I suggested?

Cheers, Dan

[1] https://github.com/ceph/ceph/blob/luminous/src/pybind/mgr/balancer/module.py#L558
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