Comments (1)
Hello,
please do not use GitHub to ask for questions. GH issues are to report bugs or unexpected behaviour and not to ask for guidance. For such, there is StackOverflow (in particular, the multiprocessing
tag).
Pebble relies on the Python multiprocessing
module. Hence, most of approaches which work for multiprocessing
work for Pebble as well.
from pebble.
Related Issues (20)
- Pebble wheels pushed to PyPI are incorrectly tagged HOT 3
- The timeout argument of ProcessPool().submit() is inconsistent with ThreadPool().submit() HOT 3
- Bug: new `submit` function makes it impossible to call a function that has a `timeout` argument HOT 6
- Logging process name inside concurrent.process HOT 2
- How to handle errors when using pool.schedule HOT 1
- shutdown of main program HOT 2
- @concurrent.process returned future blocks/hangs on running(), cancelled(), done() calls HOT 2
- Get information about broken process HOT 4
- Documentation for Pebble indicates threads created with a ThreadPool are cancellable HOT 1
- Channel mutex timeout HOT 6
- Type hint error of wrapped function HOT 7
- ISSUE with with ProcessPool when scheduled function return exception (not raise it) HOT 1
- BUG with ProcessPool when scheduled function raise BaseException HOT 1
- issue with handling frozen exceptions in worker thread or process HOT 1
- Cannot create pebble.ProcessPool() multiple times within a single run, all task got stuck and time out HOT 3
- error while running @concurrent.process repetitively HOT 4
- using multiprocess context (for dill support) no longer working HOT 2
- Workers using 100% CPU not getting killed after timeout HOT 11
- Behavior of Process.map with chunksize > 1 and a timeout HOT 5
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from pebble.