I have a list/queue of 200 commands that I need to run in a shell on a Linux server.
I only want to have a maximum of 10 processes running (from the queue) at once. Some processes will take a few seconds to complete, other processes will take much longer.
When a process finishes I want the next command to be "popped" from the queue and executed.
Does anyone have code to solve this problem?
Further elaboration:
There's 200 pieces of work that need to be done, in a queue of some sort. I want to have at most 10 pieces of work going on at once. When a thread finishes a piece of work it should ask the queue for the next piece of work. If there's no more work in the queue, the thread should die. When all the threads have died it means all the work has been done.
The actual problem I'm trying to solve is using imapsync
to synchronize 200 mailboxes from an old mail server to a new mail server. Some users have large mailboxes and take a long time tto sync, others have very small mailboxes and sync quickly.
Can you elaborate what you mean by in parallel? It sounds like you need to implement some sort of locking in the queue so your entries are not selected twice, etc and the commands run only once.
Most queue systems cheat -- they just write a giant to-do list, then select e.g. ten items, work them, and select the next ten items. There's no parallelization.
If you provide some more details, I'm sure we can help you out.
For this kind of job PPSS is written: Parallel processing shell script. Google for this name and you will find it, I won't linkspam.
I would imagine you could do this using make and the make -j xx command.
Perhaps a makefile like this
make -j 10 -f makefile
GNU make (and perhaps other implementations as well) has the -j argument, which governs how many jobs it will run at once. When a job completes, make will start another one.
In python, you could try:
Untested...
(of course, python itself is single-threaded. You should still get the benefit of multiple threads in terms of waiting for IO, though.)
https://savannah.gnu.org/projects/parallel (gnu parallel) and pssh might help.