<p>请使用<code>multiprocessing</code>和<code>subprocess</code>。使用自定义shell脚本时,如果它不在路径中,则使用脚本的完整路径。如果脚本与python脚本位于同一文件夹中,请使用<code>./script.sh</code>作为命令</p>
<p>还要确保您正在运行的脚本具有exec权限</p>
<pre><code>from multiprocessing import Pool
import subprocess
def run_script(input):
(command,arg_str)=input
print("Starting command :{} with argument {}".format(command, arg_str))
result = subprocess.call(command+" "+arg_str, shell=True)
print("Completed command :{} with argument {}".format(command, arg_str))
return result
with Pool(5) as p: # choose appropriate level of parallelism
# choose appropriate command and argument, can be fetched from sys.argv if needed
exit_codes = p.map(run_script, [('echo','hello1'), ('echo','hello2')])
print("Exit codes : {}".format(exit_codes))
</code></pre>
<p>您可以使用退出代码来验证完成状态。
样本输出:</p>
<pre><code>Starting command :echo with argument hello1
Starting command :echo with argument hello2
hello1
hello2
Completed command :echo with argument hello1
Completed command :echo with argument hello2
Exit codes : [0, 0]
</code></pre>
<p>另一种方法(不使用python)是使用GNU并行。下面的命令执行与上面的python脚本相同的操作</p>
<pre><code>parallel -k echo ::: 'hello1' 'hello2'
</code></pre>