Rishi

Thank you for your suggestion. I have been using it. But for a large
app, it is a manual way of finding out which table is getting hit
most. Also, if tables have few fields with indexed=false, it becomes
really hard to figure out the true cost of writes across tables.



On Sep 22, 8:57 am, Rishi Arora <rishi.ar...@ship-rack.com> wrote:
> There was a similar question just a few hours ago on this forum:  "Re:
> Datastore Reads and Writes Crazy High"
>
> Here's my answer:
>
> I used the appstats tool to figure out where all my datastore writes were
> coming from.  Super easy to configure, and barely any processing overhead.
>
> http://code.google.com/appengine/docs/python/tools/appstats.htmlhttp://googleappengine.blogspot.com/2010/03/easy-performance-profilin...
>
> The only problem I had with this tool was it made my memory usage grow
> exponentially for a cron job that my backend was executing.  The backend
> does a lot of work, and this job usually lasts 3 minutes, even though it
> happens only once every hour.  But since this memory explosion was limited
> to a single type of request, I was able to exclude it from appstats by using
> appstats_FILTER_LIST in appengine_config.py.
>
> Hope this helps.
>
>
>
>
>
>
>
> On Thu, Sep 22, 2011 at 7:29 AM, Vivek Puri <v...@vivekpuri.com> wrote:
> > For "Estimated Charges Under New Pricing", my app is showing $40/per
> > day for Writes and $13/day for Reads. $40 worth of writes is 40
> > million write operations. Right now i have not idea which table is
> > being written to most and contributing to that number. Can AppEngine
> > team provide statistics on these write and read operations. I would
> > hope this is something similar to existing "Datastore Statistics"
> > tool.
>
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