Hi Ikai,

In this monment, I can't appcfg.py download_data from HR in SDK 1.4.2.

Best Regards
Tom Wu


2011/3/2 Ikai Lan (Google) <[email protected]>

> I know I'm jumping late on this thread, but I want to push you and other
> developers in the High Replication direction. We're still working towards
> being able to provide SLAs, but one thing is almost for certain: application
> running under master/slave will *not* be supported under any SLA.
>
> --
> Ikai Lan
> Developer Programs Engineer, Google App Engine
> Blogger: http://googleappengine.blogspot.com
> Reddit: http://www.reddit.com/r/appengine
> Twitter: http://twitter.com/app_engine
>
>
>
> On Tue, Mar 1, 2011 at 7:25 AM, mscwd01 <[email protected]> wrote:
>
>> Thanks again guys, this is the type of insight I was after. Those
>> charts are rather impressive and in complete contradiction to what
>> I've read elsewhere - the latency seems to be consistently lower.
>>
>> I think I'll create a new app using the HR datastore and perform some
>> tests, I'm hoping my queries do not have to be changed to avoid
>> returning "stagnant" objects, the docs are rather confusing regarding
>> this issue.
>>
>> On Mar 1, 3:09 pm, bFlood <[email protected]> wrote:
>> > i think he meant that *interaction* with HR is more consistent (e.g.
>> > most requests are in a fixed performance range, whereas there are more
>> > perf spikes with MS).
>> >
>> > nice charts guys, those are helpful!
>> >
>> > On Mar 1, 9:50 am, Geoffrey Spear <[email protected]> wrote:
>> >
>> >
>> >
>> >
>> >
>> >
>> >
>> > > On Mar 1, 8:18 am, Simon Knott <[email protected]> wrote:
>> >
>> > > > What makes you think HR is slower than M/S?  This is the case for
>> > > > Puts/Deletes, but for Gets and Querying it's faster and much more
>> > > > consistent.
>> >
>> > > Where do you get "much more consistent" from?  The HR datastore is
>> > > eventually consistent; the M/S datastore is strongly consistent.
>>
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