Hi Michael,
You need to spread the load as much as possible (parallel taskqueues),
keep processor load without extreme spikes.
Datastore writes max to about 4 per second (master/slave), 1 per
second high replication datastore.
When writing the app (triall and error) divide every load as much as
possible in smaller chunks, don't load to much libraries etc. (load
time)
gr
wim

2011/1/26 Michael McClain <[email protected]>:
> Hi everybody,
>
>  I am new to Google Apps Engine.
>  I'm interested in using a cloud storage service for a large scale database
> system.
>
>  I have to store billions of keys. Where each key has a 12 bytes value.
>  During query time I need to perfome one thousand simultaneous queries to
> retrieve 5000 thousand keys for each query. So I need to retrieve
> 5000*1000*12 bytes = 60 megabytes each time my application is run.
>
>  I would like to understand if this is feasible using Google Datastore.
>  What would be the latency in performing one thousand simultaneous queries?
>
>  Is there a Google representative that could assist me in understanding if
> my app is feasible for deployment in Google Datastore?
>  I'm interested in Google Datastore because it can scale usage growth and
> peak time traffic.
>
> Thank you,
> Michael
>
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-- 
gr
Wim den Ouden
Custom applications, https://e-comm.appspot.com/
Free open source E-commerce framework (web) apps,
http://code.google.com/p/relat/
Gae developer tips, http://code.google.com/p/relat/wiki/gaetips

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