[Bug 1664764] Re: ARM Opentack API/Dashboard calls are very slow

2017-03-10 Thread M.Morana
Very disturbing, ~4.5x slower in ARM!

** Summary changed:

- ARM Opentack  API/Dashboard  calls are very slow 
+ Python 4.5x slower on ARM as seen with Opentack  API/Dashboard  calls

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Title:
  Python 4.5x slower on ARM as seen with Opentack  API/Dashboard  calls

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[Bug 1664764] Re: ARM Opentack API/Dashboard calls are very slow

2017-03-08 Thread Michael Reed
A comparison of the results

command
pyperformance compare py2_arm64.json py2_x86.json 

** Attachment added: "Output for the comparrison of arm64 vs x86"
   
https://bugs.launchpad.net/ubuntu/+source/horizon/+bug/1664764/+attachment/4834307/+files/compare_arm64_vs_x86.txt

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Title:
  ARM Opentack  API/Dashboard  calls are very slow

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[Bug 1664764] Re: ARM Opentack API/Dashboard calls are very slow

2017-03-08 Thread Michael Reed
uname -a

4.4.0-66-generic #87-Ubuntu SMP Fri Mar 3 15:29:05 UTC 2017 x86_64
x86_64 x86_64 GNU/Linux

** Attachment added: "Results generated on an x86 system"
   
https://bugs.launchpad.net/ubuntu/+source/horizon/+bug/1664764/+attachment/4834306/+files/py2_x86.tgz

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  ARM Opentack  API/Dashboard  calls are very slow

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[Bug 1664764] Re: ARM Opentack API/Dashboard calls are very slow

2017-03-01 Thread Raghuram Kota
@Billy : Nevermind comment #11. mreed8855 mentioned that the benchmark
comes with a "compare" option that can be used to compare results. Thx.

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[Bug 1664764] Re: ARM Opentack API/Dashboard calls are very slow

2017-03-01 Thread Raghuram Kota
@Billy Olsen : Michael R  helped run the benchmarks  you pointed to on
ARM64 and posted  the results on comm #9. Do you happen to know how they
can be interpreted/compared with other archs  ?

Thanks,
Raghu

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[Bug 1664764] Re: ARM Opentack API/Dashboard calls are very slow

2017-03-01 Thread Michael Reed
Kernel version for the results produced in comment #9

~$ uname -a
Linux seidel 4.4.0-64-generic #85-Ubuntu SMP Mon Feb 20 14:58:00 UTC 2017 
aarch64 aarch64 aarch64 GNU/Linux

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[Bug 1664764] Re: ARM Opentack API/Dashboard calls are very slow

2017-03-01 Thread Michael Reed
I used the benchmark from the following link:

https://github.com/python/performance


I used the following command:

pyperformance run --python=python2 -o py2.json




** Attachment added: "Results generated on a "Gigabyte R120-T33 ARM64 system""
   
https://bugs.launchpad.net/ubuntu/+source/horizon/+bug/1664764/+attachment/4829032/+files/py2.json.gz

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[Bug 1664764] Re: ARM Opentack API/Dashboard calls are very slow

2017-02-21 Thread dann frazier
fwiw, I believe we've always seen this problem on arm64, including with
our trusty + mitaka cloud archive testing.

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[Bug 1664764] Re: ARM Opentack API/Dashboard calls are very slow

2017-02-21 Thread James Page
May be related to bug 1638695

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[Bug 1664764] Re: ARM Opentack API/Dashboard calls are very slow

2017-02-21 Thread Jason Hobbs
We're also seeing this in OIL.  The dashboard takes so long to load
sometimes that the browser times out.

** Tags added: oil

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[Bug 1664764] Re: ARM Opentack API/Dashboard calls are very slow

2017-02-15 Thread Ryan Beisner
I'd suggest removing OpenStack from the mix and profiling python as
Billy mentions. My observation is that simple python calls such as
`openstack --help` are also more sluggish than expected.

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[Bug 1664764] Re: ARM Opentack API/Dashboard calls are very slow

2017-02-14 Thread Raghuram Kota
Billy Olsen (billy-olsen) wrote on 2017-02-13:

If we think this is a python performance issue, it might be beneficial
to get some data running the python performance suite - which is
available here https://github.com/python/performance. Also, its likely
we should target this at the Python Ubuntu package to see if there's
some compile time optimizations that can be done for the python
interpreter.

** Tags added: arm64 openstack uosci

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[Bug 1664764] Re: ARM Opentack API/Dashboard calls are very slow

2017-02-14 Thread Raghuram Kota
dann frazier (dannf) wrote on 2017-01-26: Re: [Bug 1652377] Re: API
calls are very slow :

On Wed, Jan 25, 2017 at 6:31 PM, Ryan Beisner
<1652...@bugs.launchpad.net> wrote:
> Without scientific data at this point, I can confirm that every CLI/API
> call I make on a freshly-deployed Xenial-Mitaka arm64 cloud is
> noticeably sluggish compared with x86 deploys, where the x86 machines
> are 6 years old, have 75% of the RAM, and less than half the advertised
> cores.
>
> This is worth profiling without OpenStack in the mix.

Do you know of a way to reproduce it without OpenStack in the mix?

  -dann

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[Bug 1664764] Re: ARM Opentack API/Dashboard calls are very slow

2017-02-14 Thread Raghuram Kota
Ryan Beisner (1chb1n) wrote on 2017-01-26:

For example, this should not take 19s on a cloud with no tenants, no
instances, 1 image, and light system resource allocation per-node:

`time glance image-list`
+--++
| ID | Name |
+--++
| 0d66c03c-fe4c-4d26-bfac-74ecb55735ab | xenial |
+--++

real 0m19.580s
user 0m0.888s
sys 0m0.068s

.

`time nova list`
jenkins@juju-osci1-machine-6:~/temp/openstack-charm-testing$ time nova list
++--+++-+--+
| ID | Name | Status | Task State | Power State | Networks |
++--+++-+--+
++--+++-+--+

real 0m11.833s
user 0m1.028s
sys 0m0.076s

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  ARM Opentack  API/Dashboard  calls are very slow

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[Bug 1664764] Re: ARM Opentack API/Dashboard calls are very slow

2017-02-14 Thread Raghuram Kota
Ryan Beisner (1chb1n) wrote on 2017-01-26:

Without scientific data at this point, I can confirm that every CLI/API
call I make on a freshly-deployed Xenial-Mitaka arm64 cloud is
noticeably sluggish compared with x86 deploys, where the x86 machines
are 6 years old, have 75% of the RAM, and less than half the advertised
cores.

This is worth profiling without OpenStack in the mix.

I'd like to have HWCERT or Server Team or Kernel Team to provide system
performance profiling methodology info (presuming there is an existing
approach). Then I'd like to exercise that on these arm64 machines and
the x86 machines, then compare to get baseline info (again, absent
OpenStack).

@raghu: please see if you can gather info from other teams and direct
that info here. TIA!

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