To be honest, I don't know the differene btw the API CPU cycles and
the CPU cycles.
On Aug 18, 3:27 pm, "Nick Johnson (Google)" <nick.john...@google.com>
wrote:
> Hi,
>
> It sounds like you're accounting for CPU megacycles, but not API CPU
> megacycles. You also need to call quota.get_request_api_cpu_usage().
>
> -Nick Johnson
>
>
>
>
>
> On Tue, Aug 17, 2010 at 7:38 AM, MyElasticEye <sarp.er...@gmail.com> wrote:
> > Hi,
>
> > I have been trying to optimize the App Engine application my team is
> > working on. As I read on Google's documentation,
>
> > 1 megacycles = 1/1200 cpu seconds
>
> > And if I a check how many megacycles it takes to load an empty sinlge
> > page without any templates using webapp.py, it takes 0 megacycles.
> > However, the amount of cpu miliseconds used for the request usually
> > becomes around 200 ms. That's understandable because of the overheads
> > of the request.
>
> > However, I see that when I do like:
>
> > class SomePage(..):
> > def get(self):
> > start = quota.get_request_cpu_usage()
> > # do some dense operations here...
> > end = quota.get_request_cpu_usage()
> > logging.info("the operation cost %d megacycles." % (start -
> > end))
> > return
>
> > I can't see a relation btw the megacycles it takes and the cpu
> > miliseconds used. According to the equation above, 1200 megacycles = 1
> > cpu second, and if the result of the operation is 2400 megacycles, it
> > means that it should equal to 2 cpu seconds. Let's say there is an
> > overhead occuring even if we load an empty page or whatever, and then
> > it should equal to 2400 + 200 = 2600 ms
>
> > However, the logs of the request says that it takes much more than 2
> > cpu secs, more like 7000 or 9000 cpu milisecs.
>
> > Why is this occuring?
>
> > Thanks
>
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> --
> Nick Johnson, Developer Programs Engineer, App Engine Google Ireland Ltd. ::
> Registered in Dublin, Ireland, Registration Number: 368047
> Google Ireland Ltd. :: Registered in Dublin, Ireland, Registration Number:
> 368047
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