Python多線程使用和註意事項
阿新 • • 發佈：2019-01-20
col clas 函數 tran [] utf-8 阻塞 () courier
多線程
基本實現：
第一種，函數方式
# -*- coding:utf-8 -*-
import thread
import time
def print_time(threadName, delay):
count = 0
while count < 5:
time.sleep(delay)
count += 1
print ‘%s : %s‘ % (threadName, time.ctime(time.time()))
try:
thread.start_new_thread(print_time, ("Thread-1", 2,))
thread.start_new_thread(print_time, ("Thread-2", 4,))
except:
print "Error!Unable to start thread."
while 1:
pass
第二種，繼承父類
# -*- coding:utf-8 -*-
import threading
import time
class MyThread(threading.Thread):
def __init__(self, thread_id, name, counter):
threading.Thread.__init__(self)
self.thread_id = thread_id
self.name = name
self.counter = counter
def run(self):
print "Starting:" + self.name
print_time(self.name, self.counter, 5)
print "Exiting:" + self.name
def print_time(thread_name, delay, counter):
while counter:
time.sleep(delay)
print ‘%s : %s‘ % (thread_name, time.ctime(time.time()))
counter -= 1
thread1 = MyThread(1, "Thread-1", 1)
thread2 = MyThread(2, "Thread-2", 2)
thread1.start()
thread2.start()
線程同步的問題解決：鎖
這裏第一個線程執行的時候，第二個線程是等待狀態的
# -*- coding:utf-8 -*-
import threading
import time
threadLock = threading.Lock()
threads = []
class MyThread(threading.Thread):
def __init__(self, thread_id, name, counter):
threading.Thread.__init__(self)
self.thread_id = thread_id
self.name = name
self.counter = counter
def run(self):
print "Starting:" + self.name
threadLock.acquire()
print_time(self.name, self.counter, 5)
print "Exiting:" + self.name
threadLock.release()
def print_time(thread_name, delay, counter):
while counter:
time.sleep(delay)
print ‘%s : %s‘ % (thread_name, time.ctime(time.time()))
counter -= 1
thread1 = MyThread(1, "Thread-1", 1)
thread2 = MyThread(2, "Thread2", 2)
thread1.start()
thread2.start()
threads.append(thread1)
threads.append(thread2)
for thread in threads:
thread.join()
線程優先級隊列：
雖然開啟了多個線程，不過打印順序一定是：one按順序到five
# -*- coding:utf-8 -*-
import threading
import time
import Queue
exit_flag = 0
queue_lock = threading.Lock()
work_queue = Queue.Queue(10)
thread_list = ["Thread-1", "Thread-2", "Thread-3"]
name_list = ["one", "two", "three", "four", "five"]
threads = []
thread_id = 1
class MyThread(threading.Thread):
def __init__(self, thread__id, name, queue):
threading.Thread.__init__(self)
self.thread__id = thread__id
self.name = name
self.queue = queue
def run(self):
print "Starting:" + self.name
process_data(self.name, self.queue)
print "Exiting:" + self.name
def process_data(thread_name, queue):
while not exit_flag:
queue_lock.acquire()
if not work_queue.empty():
data = queue.get()
queue_lock.release()
print "%s processing %s" % (thread_name, data)
else:
queue_lock.release()
time.sleep(2)
for t in thread_list:
thread = MyThread(thread_id, t, work_queue)
thread.start()
threads.append(thread)
thread_id += 1
queue_lock.acquire()
for word in name_list:
work_queue.put(word)
queue_lock.release()
while not work_queue.empty():
pass
exit_flag = 1
for t in threads:
t.join()
這裏的join函數重點解釋下：
join的原理就是依次檢驗線程池中的線程是否結束，沒有結束就阻塞主線程直到其他線程結束，如果結束則跳轉執行下一個線程的join函數
Python多線程使用和註意事項