Even the simplest controller give me a high cpu usage:
import logging
def test():
logging.info("Just making a performace test")
ms=559 cpu_ms=612 api_cpu_ms=245
On Monday, August 6, 2012 3:37:38 PM UTC-3, Felipe Meirelles wrote:
>
> Just compiled the app and deployed again, seems to make no diference. App
> engine uses the bytecode generated on web2py? Did I need to change some
> config at app.yaml?
>
> On Monday, August 6, 2012 3:21:29 PM UTC-3, Felipe Meirelles wrote:
>>
>> Pre compiled by the admin interface? Not yet, is there some impove with
>> the precompiled code?
>>
>> On Mon, Aug 6, 2012 at 3:16 PM, Derek <sp1d...@gmail.com> wrote:
>>
>>> Have you compiled your app?
>>>
>>> On Monday, August 6, 2012 10:46:33 AM UTC-7, Felipe Meirelles wrote:
>>>>
>>>> Hi,
>>>>
>>>> I'm using web2py in a project that stands on top of a REST api. The
>>>> project is write intensive (around 110k requests a day, with all the
>>>> requests making at least 2 updates to the datastore).
>>>> All my requests seems to uso at least 200 cpu_ms (even dummy requests
>>>> that only places a item on the queue to be processeced later). Is this
>>>> behaviour right? I used to get around 20 cpu_ms while using django with
>>>> the
>>>> same application (I'm currently re-writing it on web2py).
>>>> Is there some way to optimize web2py for a appengine deploy (I already
>>>> followed all the documentation)
>>>>
>>>> Thanks!
>>>>
>>> --
>>>
>>>
>>>
>>>
>>
>>
>>
>> --
>> Att,
>> Felipe Meirelles.
>>
>>
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