Python 基礎線程

Python 基礎線程

#!/usr/bin/python
# -*- coding: UTF-8 -*-

import threading
import time

exitFlag = 0


class myThread(threading.Thread):  # 繼承父類threading.Thread
    def __init__(self, threadID, name, counter):
        threading.Thread.__init__(self)
        self.threadID = threadID
        self.name = name
        self.counter = counter

    def run(self):  # 把要執行的代碼寫到run函數裏面 線程在創建後會直接運行run函數
        print "Starting " + self.name
        print_time(self.name, self.counter, 5)
        print "Exiting " + self.name


def print_time(threadName, delay, counter):
    while counter:
        if exitFlag:
            (threading.Thread).exit()
        time.sleep(delay)
        print "%s: %s" % (threadName, time.ctime(time.time()))
        counter -= 1


# 創建新線程
thread1 = myThread(1, "Thread-1", 1)
thread2 = myThread(2, "Thread-2", 2)

# 開啓線程
thread1.start()
thread2.start()

print "Exiting Main Thread"

運行結果

Starting Thread-1
Starting Thread-2Exiting Main Thread

Thread-1: Mon Jul 19 14:02:18 2021
Thread-2: Mon Jul 19 14:02:19 2021Thread-1: Mon Jul 19 14:02:19 2021

Thread-1: Mon Jul 19 14:02:20 2021
Thread-1: Mon Jul 19 14:02:21 2021
Thread-2: Mon Jul 19 14:02:21 2021
Thread-1: Mon Jul 19 14:02:22 2021
Exiting Thread-1
Thread-2: Mon Jul 19 14:02:23 2021
Thread-2: Mon Jul 19 14:02:25 2021
Thread-2: Mon Jul 19 14:02:27 2021
Exiting Thread-2

Process finished with exit code 0

 

線程鎖

#!/usr/bin/python
# -*- coding: UTF-8 -*-

# 如果多個線程共同對某個數據修改,則可能出現不可預料的結果,爲了保證數據的正確性,需要對多個線程進行同步。
#
# 使用Thread對象的Lock和Rlock可以實現簡單的線程同步,這兩個對象都有acquire方法和release方法,對於那些需要每次只允許一個線程操作的數據,可以將其操作放到acquire和release方法之間。如下:
#
# 多線程的優勢在於可以同時運行多個任務(至少感覺起來是這樣)。但是當線程需要共享數據時,可能存在數據不同步的問題。
#
# 考慮這樣一種情況:一個列表裏所有元素都是0,線程"set"從後向前把所有元素改成1,而線程"print"負責從前往後讀取列表並打印。
#
# 那麼,可能線程"set"開始改的時候,線程"print"便來打印列表了,輸出就成了一半0一半1,這就是數據的不同步。爲了避免這種情況,引入了鎖的概念。
#
# 鎖有兩種狀態——鎖定和未鎖定。每當一個線程比如"set"要訪問共享數據時,必須先獲得鎖定;如果已經有別的線程比如"print"獲得鎖定了,那麼就讓線程"set"暫停,也就是同步阻塞;等到線程"print"訪問完畢,釋放鎖以後,再讓線程"set"繼續。
#
# 經過這樣的處理,打印列表時要麼全部輸出0,要麼全部輸出1,不會再出現一半0一半1的尷尬場面。


import threading
import time


class myThread(threading.Thread):
    def __init__(self, threadID, name, counter):
        threading.Thread.__init__(self)
        self.threadID = threadID
        self.name = name
        self.counter = counter

    def run(self):
        print "Starting " + self.name
        # 獲得鎖,成功獲得鎖定後返回True
        # 可選的timeout參數不填時將一直阻塞直到獲得鎖定
        # 否則超時後將返回False
        threadLock.acquire()
        print_time(self.name, self.counter, 3)
        # 釋放鎖
        threadLock.release()


def print_time(threadName, delay, counter):
    while counter:
        time.sleep(delay)
        print "%s: %s" % (threadName, time.ctime(time.time()))
        counter -= 1


threadLock = threading.Lock()
threads = []

# 創建新線程
thread1 = myThread(1, "Thread-1", 1)
thread2 = myThread(2, "Thread-2", 2)

# 開啓新線程
thread1.start()
thread2.start()

# 添加線程到線程列表
threads.append(thread1)
threads.append(thread2)

# 等待所有線程完成
for t in threads:
    t.join()
print "Exiting Main Thread"

運行結果

Starting Thread-1
Starting Thread-2
Thread-1: Mon Jul 19 14:07:59 2021
Thread-1: Mon Jul 19 14:08:00 2021
Thread-1: Mon Jul 19 14:08:01 2021
Thread-2: Mon Jul 19 14:08:03 2021
Thread-2: Mon Jul 19 14:08:05 2021
Thread-2: Mon Jul 19 14:08:07 2021
Exiting Main Thread

Process finished with exit code 0

隊列

#!/usr/bin/python
# -*- coding: UTF-8 -*-

import Queue
import threading
import time

exitFlag = 0


class myThread(threading.Thread):
    def __init__(self, threadID, name, q):
        threading.Thread.__init__(self)
        self.threadID = threadID
        self.name = name
        self.q = q

    def run(self):
        print "Starting " + self.name
        process_data(self.name, self.q)
        print "Exiting " + self.name


def process_data(threadName, q):
    while not exitFlag:
        queueLock.acquire()
        if not workQueue.empty():
            data = q.get()
            queueLock.release()
            print "%s processing %s" % (threadName, data)
        else:
            queueLock.release()
        time.sleep(1)


threadList = ["Thread-1", "Thread-2", "Thread-3"]
nameList = ["One", "Two", "Three", "Four", "Five"]
queueLock = threading.Lock()
workQueue = Queue.Queue(10)
threads = []
threadID = 1

# 創建新線程
for tName in threadList:
    thread = myThread(threadID, tName, workQueue)
    thread.start()
    threads.append(thread)
    threadID += 1

# 填充隊列
queueLock.acquire()
for word in nameList:
    workQueue.put(word)
queueLock.release()

# 等待隊列清空
while not workQueue.empty():
    pass

# 通知線程是時候退出
exitFlag = 1

# 等待所有線程完成
for t in threads:
    t.join()
print "Exiting Main Thread"

運行結果

Starting Thread-1
Starting Thread-2
Starting Thread-3
Thread-3 processing One
Thread-1 processing Two
Thread-3 processing Three
Thread-2 processing Four
Thread-1 processing Five
Exiting Thread-3
Exiting Thread-2
Exiting Thread-1
Exiting Main Thread

Process finished with exit code 0

 

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