Re: [sqlmap-users] CPU utilization

[Miroslav S. <mir...@gm...>]

Hi Kasper.

Threads are indeed in a blocking state while retrieving page content
(basic socket blocking). Basic python urllib2 doesn't support
asynchronous page retrievals, but we could put this on a feature
request list (http://eventlet.net/doc/,
http://twistedmatrix.com/trac/).

Kind regards.

On Mon, Mar 15, 2010 at 1:24 PM, Kasper Føns <th...@ma...> wrote:
> Dead Miroslav
>
> That was not the point I was trying to make. It would ofcourse be nice to
> utilize the 100% of my computer when a program wants to, but I can see that
> python is crippled in the matter. But what I was asking about was:
> I think it is strange that sqlmap uses 50% of my cpu - What operations could
> require that much cpu? It seems that if a connection to a target is slow,
> sqlmap still uses 50% of the cpu. Is it besy-waiting for the thread that is
> doing the I/O operation to complete?
>
> I'll try again:
> I would see sqlmap's main bottlenet as the internet connection. I can't find
> anything to justify to use my CPU as much as it does. Therefore I think some
> thread is besy-waiting, which really cripples the system (especially if I
> only had 1 CPU). So my question is, is it busy-waiting?
>
> PS: Thanks for the nice link. Was interesting reading.
>
> /Kasper
>
> On 15-03-2010 13:17, Miroslav Stampar wrote:
>>
>> Dear Kasper.
>>
>> Python has an "technical" issue dealing with multithreading programs.
>> In part that it can't run threads on multiple cores, it has a really
>> nasty "GIL" problem which is discussed here:
>> http://www.snaplogic.com/blog/?p=94. Threading of sqlmap really speeds
>> it up, but the side effect is that CPU-throttling you are talking
>> about, especially in a high number of threads used.
>>
>> Kind regards.
>>
>> On Mon, Mar 15, 2010 at 12:55 PM, Kasper Føns<th...@ma...>  wrote:
>>
>>>
>>> Hello sqlmap users.
>>>
>>> I have a question about how sqlmap utilizes the cpu. On my computer the
>>> CPU being utilized is nearly always 50%, and since I have two cores I
>>> suspect some thread to be in deadlock or maybe doing busy-waiting.
>>> If using busy-waiting, I would suggest using an event-based approach
>>> instead.
>>>
>>> /Kasper
>>>
>>>
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>>
>>
>>
>
>



-- 
Miroslav Stampar

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