You can certainly write to Memcache, but I don't think your application can
tolerate any kind of volatility. Persistence is the price you have to pay.
Fortunately, I think this can be done pretty cheaply. Just be aware of
monotonically increasing indexes like timestamps: if you have an application
with a high write rate that has a timestamp, this will cause the persistence
unit storing the indexes to be unable to be autosplit easily across multiple
hardware instances and you will take a performance hit. The solution here
is, again, to shard the timestamp by prefixing a value to distribute the
writes.

--
Ikai Lan
Developer Programs Engineer, Google App Engine
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On Fri, Jan 14, 2011 at 6:06 AM, Richard Arrano <[email protected]>wrote:

> I'm looking to make a silent-auction type of application where you
> have 20-30 users bidding on an item at a time, with potentially
> hundreds or thousands of auctions happening simultaneously. As soon as
> a high bid is made, it updates this information and sends it via the
> Channel API to the other users in the auction. I see two potential
> difficulties:
>
>    1. The limit on updating an entity group about once per second - I
> believe this can be solved with sharding bids amongst users in the
> auction and querying all shards to find the maximum bid at any given
> time, correct?
>
>    2. The nature of the auction lends itself to a heavy amount of
> writing to the datastore - this itself eats up CPU and I’m trying to
> figure out if it can be avoided. Is this just inevitable in this type
> of application? Does it matter that I would only be only updating a
> single IntegerProperty() in any given write? Is there some clever
> solution that we can apply that avoids the hammering of the datastore?
>
> Any tips or suggestions would be appreciated.
>
> Thank you,
> Richard
>
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