I was using the profiling code that is available at Google App Engine
website, in FAQ.
Really do not know why 3 queries are expanding to so much calls. Maybe
it is something related to Django syndication app?
On 9 Lis, 18:21, Alex Popescu <[EMAIL PROTECTED]>
wrote:
> Rafal, what tool have you used for profiling the app?
>
> I was wondering too why I'm getting execution time warning when 95%+
> of the time was spent on framework code. I have
> a simple query that returns 20 results ordered by date and this gets
> flagged everytime even if I don't do anything.
>
> ./alex
>
> On Nov 8, 9:36 pm, Rafal Jonca <[EMAIL PROTECTED]> wrote:
>
> > I have a blog app which I think is created properly, but I'm getting a
> > strange behavior from time to time for blog RSS posts. App is based on
> > Django 1.0 (zip import) + GAE Helper. For most of the time (but not
> > only there) I see the strange behavior when someone gets me RSS feed.
> > I've started a random profiling of the code and here is what i got:
>
> > 11-08 10:40AM 46.407 /blog/rss/kategoria/django/ 200 2465ms
> > 19793mcycles 8kb
>
> > Profile data:
> > 191781 function calls (181229 primitive calls) in 2.404 CPU
> > seconds
>
> > Ordered by: internal time
> > List reduced from 687 to 25 due to restriction <25>
>
> > ncalls tottime percall cumtime percall
> > filename:lineno(function)
> > 128 1.716 0.013 1.933 0.015
> > {google3.apphosting.runtime._apphosting_runtime___python__apiproxy.Wait}
> > 4769/128 0.082 0.000 0.192 0.001
> > {google3.net.proto._net_proto___parse__python.MergeFromString}
> > 372 0.033 0.000 0.230 0.001 /base/python_lib/
> > versions/1/google/appengine/api/datastore.py:502(_FromPb)
> > 4769/128 0.021 0.000 0.208 0.002 /base/python_lib/
> > versions/1/google/net/proto/ProtocolBuffer.py:61(MergeFromString)
> > 128 0.021 0.000 0.021 0.000
> > {google3.apphosting.runtime._apphosting_runtime___python__apiproxy.MakeCall
> > }
> > 1360 0.015 0.000 0.038 0.000 /base/python_lib/
> > versions/1/google/appengine/api/datastore_types.py:
> > 1299(FromPropertyPb)
>
> > There are two things I don't understand:
> > 1. Why 128 Wait calls when I have in my pathway only three queries,
> > shown below?
>
> > tag = Tag.get_by_key_name(bits[0])
> > return Entry.all().filter('tags =', tag.name).order('-
> > pub_date').fetch(10)
> > current_site = cls.all().filter('id =', sid).get()
>
> > There is no put() in the path, just getting at max 12 entities.
>
> > 2. As you can see most of the time was not spend in my app (all Google
> > code), so why I see warnings in logs and dashboard to get the code
> > optimized, when I cannot do anything about it?
>
> > I've looked into to feed generator code from Django and i do not see
> > anything strange here. When i add memchaching to the blog RSS, the
> > response time drops to 20ms. By the way generating a standard blog
> > page, which has more data: also month list, newest comments list, top
> > tags list etc. takes normally about 100-150ms without caching.
>
> > Any ideas?
>
> > --
> > Rafał Jońca
> > Blog:http://www.rafaljonca.org/
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