Hi Jason, Vinny,
Thanks for your help!
Problem "solved" for now :-)
We did more or less as you suggested - turn memcache caching for objectify
off entirely.
And at first glance (we have to observe how it behaves in the long term)
seems to solve the problem, as far as we can see without any performance
delays (the memcache misses which to not happen anymore now, because we go
to datastore right away seem to make up for datastore access being maybe a
bit slower).
Only issue will be the bill for datastore gets, we will see in a few days
how it develops, but in that respect we would need to review the
application to check if we to redundant gets.
What we did was simply was to put a cache() call when getting ofy
private static boolean useCache=false;
public static Objectify ofy() {
return ObjectifyService.ofy().cache(useCache);
}
thanks a lot,
Gerald
On Thursday, April 18, 2013 11:28:47 PM UTC+2, Gerald N wrote:
>
> Hi,
>
> I have an App (online gaming) with over a million requests a day - we use
> objectify4, which in turn uses memcache for caching datastore objects.
> Usually, memcache is very quick - <10 ms per request.
>
> But occasionally (once a day a bit, once a week very significatnly),
> memcache becomes very very slow, from 50-100 up to several hundred
> milliseconds - which slows down my requests that get objects from objectify
> and memcache down quite a bit (from around 500 ms per request with good
> memcache to up to 6 seconds with "slow" memcache") and makes the game
> unplayable.
>
> So, did anybody else also experience this issues, and is there anything
> from developer side that can be done against that (i do not really want to
> abadon objectify) or is this just a flaw that Google App Engine Users have
> to live with like suggested in
> https://groups.google.com/forum/?fromgroups=#!topic/google-appengine/3gdJKrh5DUQ
> ?
>
> So how to archieve, constant and predictable memcache performane?
>
> thank you,
>
> Gerald
>
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