多线程python的实现及多线程有序性
作者:Efred.D 时间:2021-11-15 02:49:56
前言
多线程一般用于同时调用多个函数,cpu时间片轮流分配给多个任务。 优点是提高cpu的使用率,使计算机减少处理多个任务的总时间;缺点是如果有全局变量,调用多个函数会使全局变量被多个函数修改,造成计算错误,这使需要使用join方法或者设置局部变量来解决问题。python使用threading模块来实现多线程,threading.join()方法是保证调用join的子线程完成后,才会分配cpu给其他的子线程,从而保证线程运行的有序性。
一、多线程运行无序问题
我们首先创建三个实例,t1,t2,t3 t1实例调用function1函数,t2和t3函数调用function11函数,他们都是对全局变量l1进行操作
代码如下:
import threading,time
l1 = []
#创建RLock锁,acquire几次,release几次
lock = threading.RLock()
def function1(x,y):
for i in range(x):
l1.append(i)
if i == 0:
time.sleep(1)
end_time = time.time()
print("t{} is finished in {}s".format(y,end_time -time1 ))
def function11(x,y):
for i in range(x):
l1.append(i)
end_time = time.time()
print("t{} is finished in {}s".format(y, end_time -time1))
#2.创建子线程:thread类
if __name__ == '__main__':
t1 = threading.Thread(target= function1, args = (100,1))
t2 = threading.Thread(target= function11, args = (100,2))
t3 = threading.Thread(target= function11, args = (100,3))
time1 = time.time()
print("time starts in {}".format(time1))
t1.start()
t2.start()
t3.start()
print(l1)
结果如下:
runfile('E:/桌面/temp.py', wdir='E:/桌面')
time starts in 1656474963.9487
t2 is finished in 0.0s
t3 is finished in 0.0s
[0, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99]
t1 is finished in 1.0152690410614014s
我们可以看到,全局变量中开头有两个0,而不是按着0,1,2,3的方式按序填充,所以可以得知全局变量在多线程中是被多个函数无序调用的。为了保证多线程有序调用全局变量,我们可以利用threading.join()的方法。
二、“join方法”解决多线程运行无序问题
我们重写了function1函数,并命名为function2,t1调用function2函数。t2,t3不变。
代码如下:
import threading,time
l1 = []
#创建RLock锁,acquire几次,release几次
lock = threading.RLock()
def function1(x,y):
for i in range(x):
l1.append(i)
if i == 0:
time.sleep(1)
end_time = time.time()
print("t{} is finished in {}s".format(y,end_time -time1))
def function11(x,y):
for i in range(x):
l1.append(i)
end_time = time.time()
print("t{} is finished in {}s".format(y,end_time -time1))
def function2(x,y):
for i in range(x):
l1.append(i)
if i == 0:
time.sleep(1)
end_time = time.time()
print("t{} is finished in {}s".format(y,end_time -time1))
#2.创建子线程:thread类
if __name__ == '__main__':
t1 = threading.Thread(target= function2, args = (100,1))
t2 = threading.Thread(target= function11, args = (100,2))
t3 = threading.Thread(target= function11, args = (100,3))
time1 = time.time()
print("time starts in {}".format(time1))
t1.start()
t1.join()
t2.start()
t3.start()
print(l1)
结果如下:
runfile('E:/桌面/temp.py', wdir='E:/桌面')
time starts in 1656476057.441827
t1 is finished in 1.0155227184295654s
t2 is finished in 1.0155227184295654s
t3 is finished in 1.0155227184295654s
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99]
由此可见,threading.join()方法可以解决多线程无序问题
三、threading.Thread()的常用参数
1.group:默认值None,为了实现ThreadGroup类而保留
2.target:在start方法中调用的可调用对象,即需要开启线程的可调用对象,比如函数、方法
3.name:默认为“Thread-N”,字符串形式的线程名称
4.args:默认为空元组,参数target中传入的可调用对象的参数元组
5.kwargs:默认为空字典{},参数target中传入的可调用对象的关键字参数字典
6.daemon:默认为None
来源:https://blog.csdn.net/dylan_young/article/details/125516188
![](/images/zang.png)
![](/images/jiucuo.png)
猜你喜欢
thinkphp6如何使用中间件记录行为日志
![](https://img.aspxhome.com/file/2023/1/55501_0s.png)
python Airtest自动化测试工具的的使用
![](https://img.aspxhome.com/file/2023/6/79446_0s.jpg)
python迭代器与生成器详解
Python实现二叉排序树与平衡二叉树的示例代码
![](https://img.aspxhome.com/file/2023/6/80586_0s.png)
python通过线程实现定时器timer的方法
段正淳的css笔记(4)css代码的简写
感知器基础原理及python实现过程详解
![](https://img.aspxhome.com/file/2023/6/91976_0s.jpg)
php提示Failed to write session data错误的解决方法
css:小技巧大问题,cellSpacing用css样式代替方法,其它样式类似解决!
安装docker-compose的两种最简方法
python中subprocess实例用法及知识点详解
ASP使用组件在线发E-mail的2个函数
新浪乐居的人不好!哈哈
![](https://img.aspxhome.com/file/UploadPic/20097/23/sinahouse-26s.jpg)
Mootools 1.2教程(1)——MooTools介绍
![](https://img.aspxhome.com/file/UploadPic/up/9-Mootools-1.2.gif)
PHP的PDO大对象(LOBs)
解析SQL Server 2005 溢用之:合并列值
Python IDLE清空窗口的实例
如何提取python字符串括号中的内容
![](https://img.aspxhome.com/file/2023/0/72870_0s.png)
Pivot,信息组织的梦想之窗
![](https://img.aspxhome.com/file/UploadPic/20101/11/pivot-01-87s.jpg)