Thanks for the reply — that’s the lag I’m seeing, correct. However, I log
around that pickling step to get time stamps and it looks like the step only
takes ~20ms to do:
logging.debug("To get to index search took %s
seconds"%(time.time()-start_time))
search_results_pickle = jsonpickle.encode(results, unpicklable=False)
logging.debug("To get to pickling took %s seconds"%(time.time()-start_time))
start_time is from the beginning of the post(self) function and all time stamps
are calculated from that. On a sample run, these are my time stamps:
D 2014-07-22 14:29:24.732 To get to index search took 0.620759963989 seconds
D 2014-07-22 14:29:24.749 To get to pickling took 0.637880086899 seconds
So subtracting those two numbers gets something like ~17ms. The data I’m
pickling is ~10kb.
> On Jul 23, 2014, at 1:47 AM, Vinny P <vinny...@gmail.com> wrote:
>
> On Tue, Jul 22, 2014 at 7:17 PM, Adrian <adrianj.rand...@gmail.com> wrote:
> I have been playing with all of the settings I can think of (including going
> from an F1 to F4 instance), but to no avail I am consistently getting a ~1
> second lag on this POST request. For some reason, the process seems to just
> stop for arbitrary amounts of time, and it is severely degrading my app's
> performance. Note that this is not a situation where cold instances are being
> spun up, nor where there are many instances trying to access a given entity
> (which shouldn't matter anyway).
>
>
> To clarify: the gap you're referring to is the approximately 750 - 1700 space
> in the first AppStats screenshot, correct? It looks like the pickling
> operation is taking a long time. If you reduce the index search limit to 20,
> then to 10, then to 5 records, what impact does this have on performance? How
> large is the data you're pickling?
>
>
> -----------------
> -Vinny P
> Technology & Media Consultant
> Chicago, IL
>
> App Engine Code Samples: http://www.learntogoogleit.com
>
>
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