Thanks for the feedback.
I solved the issue by caching the get_serving_url for subsequent requests.
something like this (not exact code):
def image(self, size=0):
try:
not_found '/images/not_found.jpg'
image_url = memcache.get('some_key:' + self.id + ':' + str(size))
if not image_url:
if self.image:
blob_key = self.image.blob_key
image_url = get_serving_url(blob_key, size)
memcache.set('some_key:' + self.id + ':' + str(size), image_url)
else:
image_url = not_found
except:
image_url = not_found
#logging error
return image_url
On Wednesday, January 16, 2013 12:34:15 PM UTC-5, Joker321 wrote:
>
> Latency for my application seems to be very high even though I've
> optimized it significantly.
>
> Here is an appstats sample for one of the requests:
>
> (4) 2013-01-16 08:33:19.750 "GET /" 200 real=3154ms api=0ms overhead=12ms (39
> RPCs, cost=0, billed_ops=[])
> images.GetUrlBase 18 0
> memcache.Get 10 0
> datastore_v3.Get 9 0
> datastore_v3.RunQuery 1 0
> user.CreateLogoutURL 1 0
>
> Seems images.GetUrlBase is one of the main culprit as well as memcache
> (?). Currently I have blob being fetched and passed to get_serving_url,
> with variable image sizes throughout the application.
>
> Any recommendation on performance improvements? thanks
>
>
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