Login Register

multiprocessing.pool.Pool.terminate()

terminate()

Stops the worker processes immediately without completing outstanding work. When the pool object is garbage collected terminate() will be called immediately.

Links:

https://docs.python.org/3.5/library/multiprocessing.html#multiprocessing.pool.Pool.terminate

doc_python

2016-10-07 17:37:55

Comments

Leave a Comment

Please login to continue.

Popular Articles

multiprocessing.pool.Pool class multiprocessing.pool.Pool([processes[, initializer[, initargs[, maxtasksperchild[, context]]]]]) A process pool object which controls a pool

multiprocessing.pool.Pool.imap() imap(func, iterable[, chunksize]) A lazier version of map(). The chunksize argument is the same as the one used by the map() method. For very long

multiprocessing.pool.Pool.map_async() map_async(func, iterable[, chunksize[, callback[, error_callback]]]) A variant of the map() method which returns a result object. If callback is s

multiprocessing.pool.Pool.close() close() Prevents any more tasks from being submitted to the pool. Once all the tasks have been completed the worker processes will exit.

multiprocessing.pool.Pool.join() join() Wait for the worker processes to exit. One must call close() or terminate() before using join().