if data is independent of each other , yes you can easily reach that speed
of writing.

and unless it is ok to lost a one or two data point ( in case of
memcache eviction ) i recommend directly writing to datastore.

On Wed, Oct 24, 2012 at 5:46 AM, Bradley Ford <[email protected]> wrote:

> Hi All,
>
> I hope I can get some advice on a similar topic to that posted above.
>
> I need to record time series data at high-frequency and timestamps are
> very important.
>
> During a peak period for each data point it might be recording at 1 second
> update rates per data point. But during the off-peak periods I expect 10-30
> second update rates are to be expected.
> My thinking is that each data-point could be its own tablet; this will
> result in between 100,000 to 1,000,000 tablets.
>
> The other point too note is that it is ok if I have a delay before data is
> wrote to the database; so I could dump to the database after I have
> collected every 10 or 20 data points. (Possibly using Memcache)
>
>
> From my reading generally and on this thread it should be possible if I
> can split each data point onto its own tablet; I am still unsure how I can
> make the cost manageable  In particular if I can use Memcache as a method
> to reduce the number of writes.
>
> Best Regards
> Brad
>
> On Friday, 27 January 2012 06:57:04 UTC+9, Andrei-Ştefăniţă Cocorean wrote:
>>
>> Hi,
>>
>> I want to develop a web service which will be used by a few thousand
>> clients to save new pieces of data at a rate of aprox. 1 post/minute. I've
>> been looking at what App Engine has to offer but I'm not sure if it's the
>> right platform for this kind of system. At a glance it seems the datastore
>> is optimized for efficient reads, but not so much for write intensive
>> applications.
>>
>> I'd appreciate any help on deciding whether it's worth to try and build
>> this service on App Engine. Also, if you implemented something similar I'd
>> be interested in hearing what problems you encountered along the way.
>>
>> Regards,
>> Andrei
>>
>>
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