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Python使用multiprocessing实现一个最简单的分布式作业调度系统

  • 时间:2021-01-21 08:13 编辑: 来源: 阅读:
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摘要:Python使用multiprocessing实现一个最简单的分布式作业调度系统
 mutilprocess像线程一样管理进程,这个是mutilprocess的核心,他与threading很是相像,对多核CPU的利用率会比threading好的多。 [b]介绍[/b] Python的multiprocessing模块不但支持多进程,其中managers子模块还支持把多进程分布到多台机器上。一个服务进程可以作为调度者,将任务分布到其他多个机器的多个进程中,依靠网络通信。 想到这,就在想是不是可以使用此模块来实现一个简单的作业调度系统。 [b]实现[/b] Job 首先创建一个Job类,为了测试简单,只包含一个job id属性 [b]job.py[/b]
#!/usr/bin/env python
# -*- coding: utf-8 -*-
class Job:
def __init__(self, job_id):
self.job_id = job_id
[b]Master[/b] Master用来派发作业和显示运行完成的作业信息 [b]master.py[/b]
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from Queue import Queue
from multiprocessing.managers import BaseManager
from job import Job
[b]class Master:[/b]
def __init__(self):
# 派发出去的作业队列
self.dispatched_job_queue = Queue()
# 完成的作业队列
self.finished_job_queue = Queue()
def get_dispatched_job_queue(self):
return self.dispatched_job_queue
def get_finished_job_queue(self):
return self.finished_job_queue
def start(self):
# 把派发作业队列和完成作业队列注册到网络上
BaseManager.register('get_dispatched_job_queue', callable=self.get_dispatched_job_queue)
BaseManager.register('get_finished_job_queue', callable=self.get_finished_job_queue)
# 监听端口和启动服务
manager = BaseManager(address=('0.0.0.0', 8888), authkey='jobs')
manager.start()
# 使用上面注册的方法获取队列
dispatched_jobs = manager.get_dispatched_job_queue()
finished_jobs = manager.get_finished_job_queue()
# 这里一次派发10个作业,等到10个作业都运行完后,继续再派发10个作业
job_id = 0
while True:
for i in range(0, 10):
job_id = job_id + 1
job = Job(job_id)
print('Dispatch job: %s' % job.job_id)
dispatched_jobs.put(job)
while not dispatched_jobs.empty():
job = finished_jobs.get(60)
print('Finished Job: %s' % job.job_id)
manager.shutdown()
if __name__ == "__main__":
master = Master()
master.start()
[b]Slave[/b] Slave用来运行master派发的作业并将结果返回 [b]slave.py[/b]
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import time
from Queue import Queue
from multiprocessing.managers import BaseManager
from job import Job
[b]class Slave:[/b]
def __init__(self):
# 派发出去的作业队列
self.dispatched_job_queue = Queue()
# 完成的作业队列
self.finished_job_queue = Queue()
[b]def start(self):[/b]
# 把派发作业队列和完成作业队列注册到网络上
BaseManager.register('get_dispatched_job_queue')
BaseManager.register('get_finished_job_queue')
# 连接master
server = '127.0.0.1'
print('Connect to server %s...' % server)
manager = BaseManager(address=(server, 8888), authkey='jobs')
manager.connect()
# 使用上面注册的方法获取队列
dispatched_jobs = manager.get_dispatched_job_queue()
finished_jobs = manager.get_finished_job_queue()
# 运行作业并返回结果,这里只是模拟作业运行,所以返回的是接收到的作业
while True:
job = dispatched_jobs.get(timeout=1)
print('Run job: %s ' % job.job_id)
time.sleep(1)
finished_jobs.put(job)
if __name__ == "__main__":
slave = Slave()
slave.start()
[b]测试[/b] 分别打开三个linux终端,第一个终端运行master,第二个和第三个终端用了运行slave,运行结果如下 [b]master[/b]
$ python master.py 
Dispatch job: 1
Dispatch job: 2
Dispatch job: 3
Dispatch job: 4
Dispatch job: 5
Dispatch job: 6
Dispatch job: 7
Dispatch job: 8
Dispatch job: 9
Dispatch job: 10
Finished Job: 1
Finished Job: 2
Finished Job: 3
Finished Job: 4
Finished Job: 5
Finished Job: 6
Finished Job: 7
Finished Job: 8
Finished Job: 9
Dispatch job: 11
Dispatch job: 12
Dispatch job: 13
Dispatch job: 14
Dispatch job: 15
Dispatch job: 16
Dispatch job: 17
Dispatch job: 18
Dispatch job: 19
Dispatch job: 20
Finished Job: 10
Finished Job: 11
Finished Job: 12
Finished Job: 13
Finished Job: 14
Finished Job: 15
Finished Job: 16
Finished Job: 17
Finished Job: 18
Dispatch job: 21
Dispatch job: 22
Dispatch job: 23
Dispatch job: 24
Dispatch job: 25
Dispatch job: 26
Dispatch job: 27
Dispatch job: 28
Dispatch job: 29
Dispatch job: 30
[b]slave1[/b]
$ python slave.py 
Connect to server 127.0.0.1...
Run job: 1 
Run job: 2 
Run job: 3 
Run job: 5 
Run job: 7 
Run job: 9 
Run job: 11 
Run job: 13 
Run job: 15 
Run job: 17 
Run job: 19 
Run job: 21 
Run job: 23 
[b]slave2[/b]
$ python slave.py 
Connect to server 127.0.0.1...
Run job: 4 
Run job: 6 
Run job: 8 
Run job: 10 
Run job: 12 
Run job: 14 
Run job: 16 
Run job: 18 
Run job: 20 
Run job: 22 
Run job: 24 
以上内容是小编给大家介绍的Python使用multiprocessing实现一个最简单的分布式作业调度系统,希望对大家有所帮助!
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