Well, the requests are independent form each other (threadsafe) and are only
related to datastore (each request also triggers task creation for different
log writes). Should't all request that arrive "at the same time" be resolved
in parallel ?

On 16 October 2011 20:34, Brandon Wirtz <[email protected]> wrote:

>
> Concurrency isn't as "concurrent" as a lot of people think it is. Just like
> Multi-Tasking.
>
> If your App does "Calculate the pi to the power of X and return the
> Significant Digit in Y position"  Your App will consume 100% of the CPU and
> you get 0 Concurrent request.  If it does so fast enough the Pending
> Latency
> may allow a single instance to respond to a bunch of requests that arrive
> at
> the same time, but they will process in Serial.
>
> If your app does "Fetch X URL and return bytes 1234 through 4321" Most of
> the time will be spent in the FetchURL Api, and while that is happening
> other requests can execute.
>
> Because of this My APP that uses about 98% CPU from API's has HUGE
> concurrency on Python 2.7. but Huge is still something like 8 not 80.  But
> when you pay for instances, not consumed CPU this saved me a lot of money.
>
> In any event, your answer is: It depends on how you are using the CPU
> Cycles, and how you use API's or other things that would create a wait
> state, along with what the pending latency is.
>
>
> -----Original Message-----
> From: [email protected]
> [mailto:[email protected]] On Behalf Of Ice13ill
> Sent: Sunday, October 16, 2011 9:25 AM
> To: Google App Engine
> Subject: [google-appengine] Maximum concurrent user requests
>
> Hello, i know that you can allow concurrent user requests, for example, in
> java, by specifying threadsafe = true in your appengine- web.xml, but how
> many requests can be actually executed by a servlet in parallel ?
> For example, if N users make a request at the same moment, will there be a
> number of requests put into wait ?. Let's say M user requests will be
> treated (M < N ) and M-N requests will wait ?
>
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