Also, not setting indexed=False on your attributes leads to an
unexpectedly high number of datastore writes. Each attribute without
indexed=False will yield two more datastore write operations (asc,
desc), I believe.

Even still, we're trying to account for the large number of datastore
write ops....

j

On Sep 6, 3:05 pm, Jason Collins <[email protected]> wrote:
> We are seeing a lot more datastore write operations than we can
> account for (375M / day). Still trying to get to the bottom of it
> because it makes for a scary line item on the new sample bills. We
> haven't looked closely at read operations yet because the writes
> dwarfs it.
>
> This blog post outlines some unexpected read 
> statistics:http://point7.wordpress.com/2011/09/03/the-amazing-story-of-appengine...
> . I think that using offset with your queries (instead of cursors)
> could lead to an inflated number of reads.
>
> Aside, I'm really surprised that datastore reads cost 70% of a write.
> I would have expected perhaps an order of magnitude cheaper.
>
> j
>
> On Sep 6, 7:57 am, Richard Druce <[email protected]> wrote:
>
>
>
>
>
>
>
> > With the appengine pricing changes, we've been paying attention to our
> > datastore puts. According to the pricing comparison chart we're making 2.18
> > million puts a day. This seems a lot higher than expected. We receive about
> > 0.6 queries per second which means that each request is making about 60
> > puts!!
>
> > Using the sample code for db 
> > profilinghttp://code.google.com/appengine/articles/hooks.htmlwemeasured 
> > this for a
> > day and the most we counted was ~14,000 which seems more reasonable. Does
> > anyone have experience with something similar on their site?
> > Thanks,
> > Richard

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