NAME

       ppserver - manual page for Parallel Python Network Server

SYNOPSIS

       ppserver  [-hda]  [-i  interface]  [-b  broadcast] [-p port] [-w nworkers] [-s secret] [-t
       seconds]

DESCRIPTION

       Parallel Python Network Server

OPTIONS

       -h     this help message

       -d     debug

       -a     enable auto-discovery service

       -r     restart worker process after each task completion

       -n <proto>
              protocol number for pickle module

       -c <path>
              path to config file

       -i <interface>
              interface to listen

       -b <broadcast>
              broadcast address for auto-discovery service

       -p <port>
              port to listen

       -w <nworkers>
              number of workers to start

       -s <secret>
              secret for authentication

       -t <seconds>
              timeout to exit if no connections with clients exist

       -k <seconds>
              socket timeout in seconds which is also the maximum time  a  remote  job  could  be
              executed.  Increase  this  value  if  you  have  long  running  jobs or decrease if
              connectivity to remote ppservers is often lost.

       -P pid_file
              file to write PID to

       Please visit http://www.parallelpython.com for extended up-to-date documentation, examples
       and support forums

SECURITY

       Due  to  the  security  concerns  it is highly recommended to run ppserver.py with an non-
       trivial secret key (-s command line argument) which should be  paired  with  the  matching
       secret  keyword  of PP Server class constructor. An alternative way to set a secret key is
       by assigning pp_secret variable in the configuration file  .pythonrc.py  which  should  be
       located  in  the  user home directory (please make this file readable and writable only by
       user).  The secret key set in .pythonrc.py could be overridden by  command  line  argument
       (for ppserver.py) and secret keyword (for PP Server class constructor).

AUTHOR

       This  manual page was written by Sandro Tosi <matrixhasu@gmail.com>, and Vitalii Vanovschi
       support@parallelpython.com