Gregory, Thanks for the update.

I think the scheduler min & max pending latency should be per url (i.e. in
app.yaml) rather than being global at the app level. Most apps have requests
that require a quick response (UI and APIs), and others that don't (cron,
some tasks, backend work, ..etc). I'd probably want to set my max pending
latency to 50ms for UI requests and 5 seconds for some non-urgent tasks.

Waleed


On Fri, Jun 24, 2011 at 4:04 PM, Jeff Schnitzer <[email protected]> wrote:

> Thanks, this clarifies much!  Questions below:
>
> On Thu, Jun 23, 2011 at 11:49 PM, Gregory D'alesandre <[email protected]>wrote:
>
>>  Datastore APIs Q: Which operations are being charged for?
>> A: There are 3 categories of Datastore operations:
>> - Write operations (Entity Put, Entity Delete, Index Write), each of these
>> operations will cost $0.10 per 100k operations
>> - Read operations (Query, Entity Fetch), each of these operations will
>> cost $0.07 per 100k operations
>> - Small operations (Key Fetch, Id Allocation), each of these operations
>> will cost $0.01 per 100k operations
>>
>>  Q: Under the new scheme, is it more economical to do a keys-only query
>> that fetches 1000 keys, and then do a get on the 500 of them that I need, or
>> just do a regular (non keys-only) query for all 1000 directly?
>> A: The first is more economical.  Fetching 1000 keys + fetching 500
>> entities = $0.0001 + 0.00035 = $0.00045; fetching 1000 entities = $0.0007.
>>
>
> This makes sense, and encourages more use of memcache. to hold entities.
>  One question that I've been wondering a while - presuming no caching, does
> this query-keys+batch-get approach produce higher latency than a simple
> query, and if so, by how much?
>
> Also, is there any way we can get the transaction timestamp out on
> datastore writes?  This would *dramatically* improve the robustness of code
> that tries to keep memcache in sync with the datastore during contention.
>  I've spoken with Alfred and Max about this, but I don't know if it's a
> priority.  This could potentially reduce datastore bills by orders of
> magnitude.
>
> Thanks,
> Jeff
>
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