On Thu, Mar 6, 2014 at 4:56 PM, Larry Martell <larry.mart...@gmail.com> wrote:
> On Wed, Mar 5, 2014 at 5:27 PM, Larry Martell <larry.mart...@gmail.com> wrote:
>> I have a script that forks off other processes and attempts to manage
>> them. Here is a stripped down version of the script:
>>
>> self.sleepTime = 300
>> self.procs = {}
>> self.startTimes = {}
>> self.cmd = ['python',
>> '/usr/local/motor/motor/app/some_other_script.py']
>>
>> while True:
>> try:
>> self.tools = Tool.objects.filter(ip__isnull=False)
>> except Exception, e:
>> print 'error from django call: ' + str(e)
>> sys.exit(1)
>>
>> for tool in self.tools:
>> name = tool.name
>> if name in self.procs:
>> if self.procs[name].poll() is None:
>> if
>> (datetime.datetime.now()-self.startTimes[name]) >
>> datetime.timedelta(hours=12):
>> # it's been running too long - kill it
>> print 'killing script for ' + name + "
>> it's been running too long"
>> self.procs[name].kill()
>> else:
>> continue
>>
>> if self.procs[name].returncode:
>> print 'scrikpt failed for ' + name + ', error
>> = ' + str(self.procs[name].returncode)
>>
>> print 'starting script.py for ' + name + ' at ' +
>> str(datetime.datetime.now())
>> try:
>> self.procs[name] = subprocess.Popen(self.cmd)
>> self.startTimes[name] = datetime.datetime.now()
>> except Exception, e:
>> print 'error from Popen: ' + str(e)
>> sys.exit(1)
>> else:
>> print 'starting script.py for ' + name + ' at ' +
>> str(datetime.datetime.now())
>> try:
>> self.procs[name] = subprocess.Popen(self.cmd)
>> self.startTimes[name] = datetime.datetime.now()
>> except Exception, e:
>> print 'error from Popen: ' + str(e)
>> sys.exit(1)
>>
>> time.sleep(self.sleepTime)
>>
>>
>> The script does what it's intended to do, however after about 2 hours
>> it has used up all the memory available and the machine hangs. Can
>> anyone see something that I am doing here that would be using memory
>> like this? Perhaps some immutable object needs to be repeatedly
>> recreated?
>
> I figured out what is causing this. Each pass through the loop it does:
>
> self.tools = Tool.objects.filter(ip__isnull=False)
>
> And that is what is causing the memory consumption. If I move that
> outside the loop and just do that once the memory issue goes away. Now
> I need to figure out why this is happening and how to prevent it as
> they do want to query the db each pass through the loop in case it has
> been updated.
Apparently the object returned by that call is immutable as if I look
at id(self.tools) each pass through the loop, it is different. Is
there some way I can recover that memory?
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