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