Itamar Turner-Trauring added the comment:
Given people's general experience, I would not say that "fork" works on Linux
either. More like "99% of the time it works, 1% it randomly breaks in
mysterious way".
--
___
Py
Itamar Turner-Trauring added the comment:
This change was made on macOS at some point, so why not Linux? "spawn" is
already the default on macOS and Windows.
--
___
Python tracker
<https://bugs.python.o
Itamar Turner-Trauring added the comment:
Another person with the same issue:
https://twitter.com/volcan01010/status/1324764531139248128
--
nosy: +itamarst2
___
Python tracker
<https://bugs.python.org/issue40
Itamar Turner-Trauring added the comment:
Just got an email from someone for whom switching to "spawn" fixed a problem.
Earlier this week someone tweeted about this fixing things. This keeps hitting
people in the real world.
--
___
Pyth
Itamar Turner-Trauring added the comment:
Looks like as of 3.8 this only impacts Linux/non-macOS-POSIX, so I'll amend the
above to say this will also make it consistent with macOS.
--
___
Python tracker
<https://bugs.python.org/issue40
New submission from Itamar Turner-Trauring :
By default, multiprocessing uses fork() without exec() on POSIX. For a variety
of reasons this can lead to inconsistent state in subprocesses: module-level
globals are copied, which can mess up logging, threads don't survive fork(),
etc..
The end
Itamar Turner-Trauring added the comment:
This bug was closed on the basis that signals + threads don't interact well.
Which is a good point.
Unfortunately this bug can happen in cases that have nothing to do with
signals. If you look at the title and some of the comments it also happens
Itamar Turner-Trauring added the comment:
This is not specifically a signal issue; it can happen with garbage collection
as well if you have a Queue.put that runs in __del__ or a weakref callback
function.
This can happen in real code. In my case, a thread that reads log messages from
New submission from Itamar Turner-Trauring:
In certain situations it is best to avoid doing file I/O. For example, a
program that runs in an event loop may wish to avoid any potentially blocking
operations; reading from a file usually is fast, but can sometimes take
arbitrary long. Another
