通过ssh在多台Windows计算机上实现Python的并行处理,可以使用以下步骤:
以下是一个示例代码:
import paramiko
from concurrent.futures import ThreadPoolExecutor
def execute_command(ssh, command):
stdin, stdout, stderr = ssh.exec_command(command)
return stdout.read().decode()
def run_remote_python_script(hostname, username, password, script_path):
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(hostname, username=username, password=password)
result = execute_command(ssh, f"python {script_path}")
ssh.close()
return result
def distribute_tasks(hostnames, username, password, script_path):
results = []
with ThreadPoolExecutor() as executor:
for hostname in hostnames:
result = executor.submit(run_remote_python_script, hostname, username, password, script_path)
results.append(result)
for result in results:
print(result.result())
if __name__ == "__main__":
hostnames = ["hostname1", "hostname2", "hostname3"]
username = "your_username"
password = "your_password"
script_path = "path_to_your_python_script.py"
distribute_tasks(hostnames, username, password, script_path)
在上述示例代码中,我们使用paramiko库来通过SSH连接到远程计算机并执行Python脚本。通过ThreadPoolExecutor来实现并行处理任务,并使用submit方法将任务提交给线程池。最后,我们打印每个任务的结果。
请注意,上述示例代码仅供参考,实际使用时需要根据具体情况进行修改和调整。
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