最近一个项目上使用线程池,设定处理项1W,10线程,但是需要检测线程进行状态。出现错误N次,就自动终止线程。实现如下:
线程池代码
ERRORCOUNT=0
IS_EXIT=True
class Worker(Thread):
worker_count=0
timeout=1
def __init__(self, workQueue,resultQueue,**kwds):
Thread.__init__(self,**kwds)
self.id=Worker.worker_count
Worker.worker_count+=1
self.setDaemon(True)
self.workQueue=workQueue
self.resultQueue=resultQueue
self.start()
def run(self):
#the get-some-work,do-some-work main loop of worker threads
while IS_EXIT:
try:
callable,args,kwds=self.workQueue.get(timeout=Worker.timeout)
res=callable(*args,**kwds)
self.resultQueue.put(res)
except Queue.Empty:
break
except:
pass
class WorkerManager:
def __init__(self, num_of_workers=10,timeout=2):
self.workQueue=Queue.Queue()
self.resultQueue=Queue.Queue()
self.workers=[]
self.timeout=timeout
self._recruitThreads(num_of_workers)
def _recruitThreads(self,num_of_workers):
for i in range(num_of_workers):
worker=Worker(self.workQueue,self.resultQueue)
self.workers.append(worker)
def wait_for_complete(self):
#then,wait for each of them to terminate
while len(self.workers):
worker=self.workers.pop()
worker.join(10)
if worker.isAlive() and not self.workQueue.empty():
self.workers.append(worker)
def add_job(self,callable,*args,**kwds):
self.workQueue.put((callable,args,kwds))
def get_result(self,*args,**kwds):
return self.resultQueue.get(*args,**kwds)
在WorkerManager中使用到一个全局变量IS_EXIT用来判断是否需要退出线程
调用线程代码
wm=WorkerManager(10)#10线程
for i in range(10000):
wm.add_job(do_job)
wm.wait_for_complete()
具体工作代码
def do_job():
global ERRORCOUNT
global IS_EXIT
try:
do anything
except:
ERRORCOUNT+=1
if ERRORCOUNT>5:
IS_EXIT=False
此处使用了全局变量ERRORCOUNT统计错误数量,超过指定次数,则设置IS_EXIT=False通知线程停止执行。
至此基本上满足项目所需,但并不友好,应有更好的方式。
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