This has decreased the latency significantly from 5-9 seconds now to
300-800 ms
On Wednesday, January 16, 2013 6:38:25 PM UTC-5, Joker321 wrote:
>
> 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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