[issue30549] ProcessPoolExecutor hangs forever if the object raises on __getstate__

2017-06-02 Thread Roberto Martínez

New submission from Roberto Martínez:

Hi, I detected that a ProcessPoolExecutor hangs if the object fails to 
picklelize.

I attached the simplest code to reproduce the behavior. Note that the 
interpreter should exit after the exception but it doesn't and hangs forever.

I tested with python 3.4, 3.5 and 3.6 with the same results.

--
files: test_noshutdown.py
messages: 294999
nosy: Roberto Martínez
priority: normal
severity: normal
status: open
title: ProcessPoolExecutor hangs forever if the object raises on __getstate__
type: behavior
versions: Python 3.4, Python 3.5, Python 3.6
Added file: http://bugs.python.org/file46919/test_noshutdown.py

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[issue23582] multiprocessing.Queue.get is not getting all the items in the queue

2015-03-04 Thread Roberto Martínez

Roberto Martínez added the comment:

I think you misunderstood my explanation. My english is not very good, sorry.

I think that my previously attached file (mpqueuegetwrong.py) shows it better 
than my words. In this file you can see that I am not calling qsize nor 
get_nowait, only put and get. And the behavior I am reporting is only related 
to those methods (and I think it is not documented).

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[issue23582] multiprocessing.Queue.get is not getting all the items in the queue

2015-03-04 Thread Roberto Martínez

Roberto Martínez added the comment:

That's not my point.

To my understanding, when you put a item in the queue the item *must* be 
available to get in the next call. So I think put should block until the item 
is really in the queue so when you call get it return *always* and not some 
times (depending on the item size).

If this is not the expected behavior I think it should be warned in the put/get 
method.

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[issue23582] multiprocessing.Queue.get is not getting all the items in the queue

2015-03-04 Thread Roberto Martínez

New submission from Roberto Martínez:

We face yesterday a bug in a project, and after a few hours of investigation we 
found a bad/not documented behavior in multiprocessing.Queue.

If you put one or more items in a queue and if the items are large, there is a 
delay between the put is executed and the item is finally available in the 
queue. This is reasonable because the underlying thread and the pipe, but the 
problem is not this.

The problem is that Queue.qsize() is reporting the number of items put, 
Queue.empty() is returning True, and Queue.get() is raising Empty.

So, the only safe method to get all the items is as follows:

while q.qsize(): 
try: 
item = q.get_nowait()   
except Empty:
pass

Which is not very nice.

I attach a sample file reproducing the behavior, a single process put 100 
elements in a Queue and after that it tries to get all of them, I tested in 
python 2.7.9 and 3.4 with the same result (seems python3 is a little bit faster 
and you need to enlarge the items). Also if you wait between get's, the process 
is able to retrieve all the items.

--
files: mpqueuegetwrong.py
messages: 237178
nosy: Roberto Martínez
priority: normal
severity: normal
status: open
title: multiprocessing.Queue.get is not getting all the items in the queue
type: behavior
versions: Python 2.7, Python 3.4
Added file: http://bugs.python.org/file38327/mpqueuegetwrong.py

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