Same here

2010/9/23 Fredrik Bonander <[email protected]>

> Oh, queries per second?
>
> Very low. At it's highest it's about 0,6. Only have about 50-60 visitors a
> day.
>
> Sent from my iPad
>
> On 23 sep 2010, at 18:26, Fredrik Bonander <
> [email protected]> wrote:
>
> Sorry, what's QPS?
>
> ..fredrik
>
> Sent from my iPad
>
> On 23 sep 2010, at 18:20, "Ikai Lan (Google)" < <[email protected]>
> [email protected]> wrote:
>
> It sounds like these are impacting Python developers - I haven't heard any
> Java app developers chime in yet.
>
> What's the ballpark of the QPS you guys are doing? <1qps, 10qps, 100qps,
> etc?
>
> --
> Ikai Lan
> Developer Programs Engineer, Google App Engine
> Blogger:  
> <http://googleappengine.blogspot.com/><http://googleappengine.blogspot.com>
> http://googleappengine.blogspot.com
> Reddit:  
> <http://www.reddit.com/r/appengine><http://www.reddit.com/r/appengine>
> http://www.reddit.com/r/appengine
> Twitter:  <http://twitter.com/app_engine> <http://twitter.com/app_engine>
> http://twitter.com/app_engine
>
>
>
> On Thu, Sep 23, 2010 at 12:15 PM, Eli Jones < 
> <[email protected]><[email protected]>
> [email protected]> wrote:
>
>> Also, a cold start for this task can take as little as 960 ms (where it
>> shows the log detail: "This request caused a new process to be started for
>> your application...").
>>
>> And, the task is doing a URLFetch, so.. I'm sure that is taking up a chunk
>> of the running time.
>>
>> One of my imports is pytz (no django or anything like that though).. so
>> that could also be of interest.
>>
>>
>> On Thu, Sep 23, 2010 at 12:10 PM, Eli Jones < 
>> <[email protected]><[email protected]>
>> [email protected]> wrote:
>>
>>> My app is in Python.  The only thing it does between 6:30 AM PST and 1:00
>>> PM PST is run a single chained task.  The task just runs once every 5
>>> minutes.  (There are no other backend processes or users).
>>>
>>> Yesterday at 11:00 AM PST and 11:02 AM PST, the task experienced the 10
>>> second, 500 error (with 0 CPU_MS used).. then the task successfully retried
>>> at 11:02:55 AM PST.
>>>
>>> There was another one (not mentioned in your list of times for yesterday)
>>> at 7:45 AM PST.  Failed after 10 seconds with a 500 error and 0 CPU_MS used.
>>>  The task successfully retried at 7:47 AM PST (for some reason, the tasks in
>>> my app wait 120 seconds for the first retry)
>>>
>>> For some reason, the log doesn't contain the message that usually goes
>>> with this error (there is no detailed log message):
>>>
>>>  "Request was aborted after waiting too long to attempt to service your
>>> request. This may happen sporadically when the App Engine serving cluster is
>>> under unexpectedly high or uneven load. If you see this message frequently,
>>> please contact the App Engine team."
>>>
>>> But, it has the exact same fingerprint. (It just seems that the logs are
>>> trimming the detailed messages faster than usual.)
>>>
>>> This chained task runs 79 times each day (this would be 82 requests
>>> counting these 3 errors).. so these errors accounted for 3.66 % of the
>>> requests during the day yesterday.
>>>
>>>
>>> On Thu, Sep 23, 2010 at 11:19 AM, Ikai Lan (Google) 
>>> <<ikai.l%[email protected]><[email protected]>
>>> [email protected]> wrote:
>>>
>>>> Hey guys,
>>>>
>>>> We've been tracking latency spikes and intermittent batches of aborted
>>>> requests over the last 24 hour period. There were at least 3 periods of
>>>> spikes yesterday:
>>>>
>>>> ~1100 Pacific (moderate, brief period of high)
>>>> ~1300 Pacific (small)
>>>> ~1530 Pacific (small)
>>>>
>>>> Community reports seem to indicate that these are related to loading
>>>> requests. If you are being affected, can you report your environment,
>>>> language and if these times correlate with your experiences in this thread?
>>>> Are there periods that this particular report did not cover? Please provide
>>>> measurements, times and application IDs.
>>>>
>>>> --
>>>> Ikai Lan
>>>> Developer Programs Engineer, Google App Engine
>>>> Blogger:  
>>>> <http://googleappengine.blogspot.com/><http://googleappengine.blogspot.com>
>>>> http://googleappengine.blogspot.com
>>>> Reddit:  
>>>> <http://www.reddit.com/r/appengine><http://www.reddit.com/r/appengine>
>>>> http://www.reddit.com/r/appengine
>>>> Twitter:  <http://twitter.com/app_engine><http://twitter.com/app_engine>
>>>> http://twitter.com/app_engine
>>>>
>>>>  --
>>>> You received this message because you are subscribed to the Google
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>>>>
>>>
>>>
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-- 
Carlos Ble
www.MavenCharts.com
www.iExpertos.com
www.carlosble.com

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