Hello,
I have a python script that uploads multiple files from the local machine to a
remote server in parallel via ftp using p process pool:
p = Pool(processes=x)
Now as I increase the value of x, the overall upload time for all files drops
as expected. If I set x too high however, then an exception is thrown. The
exact value at which this happens varies, but is ~20
Traceback (most recent call last):
File "uploadFTP.py", line 59, in <module>
FTP_Upload().multiupload()
File "uploadFTP.py", line 56, in multiupload
p.map(upload_function,files)
File "/usr/lib64/python2.6/multiprocessing/pool.py", line 148, in map
return self.map_async(func, iterable, chunksize).get()
File "/usr/lib64/python2.6/multiprocessing/pool.py", line 422, in get
raise self._value
EOFError
Now this is not a problem - 20 is more than enough - but I'm trying to
understand the mechanisms involved, and why the exact number of processes at
which this exception occurs seems to vary.
I guess it comes down to the current resources of the server itself...but any
insight would be much appreciated!
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