This is only true if you're using transactions on ONE entity group and
trying to update the same entity over and over.

You can easily write several thousand entities per second, especially
if they are spread across multiple entity groups.



Robert






On Wed, Jan 26, 2011 at 14:36, Wim den Ouden <[email protected]> wrote:
> 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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