PyLoadL

NAME
SYNOPSIS
DESCRIPTION

Build/Installation

CREDITS
AUTHOR
SEE ALSO

NAME

PyLoadL - Python Interface to the IBM LoadLeveler API

SYNOPSIS

  from pyloadl import *

  version = version()

  #
  # Workload Management API
  #


  rc = ll_control( control_op, host_list, user_list, job_list, class_list, priority )

  rc = llctl( LL_CONTROL_START|LL_CONTROL_STOP|LL_CONTROL_RECYCLE|\
                 LL_CONTROL_RECONFIG|LL_CONTROL_DRAIN|LL_CONTROL_DRAIN_SCHEDD|\
                 LL_CONTROL_DRAIN_STARTD|LL_CONTROL_FLUSH|LL_CONTROL_PURGE_SCHEDD|\
                 LL_CONTROL_SUSPEND|LL_CONTROL_RESUME|LL_CONTROL_RESUME_STARTD|\
                 LL_CONTROL_RESUME_SCHEDD, host_list, class_list )

  rc = llfavorjob( LL_CONTROL_FAVOR_JOB|LL_CONTROL_UNFAVOR_JOB,job_list )

  rc = llfavoruser( LL_CONTROL_FAVOR_USER|LL_CONTROL_UNFAVOR_USER, user_list )

  rc = llhold( LL_CONTROL_HOLD_USER|LL_CONTROL_HOLD_SYSTEM|
                       LL_CONTROL_HOLD_RELEASE, host_list, user_list, job_list)

  rc = llprio( LL_CONTROL_PRIO_ABS|LL_CONTROL_PRIO_ADJ, job_list, priority)

  rc = ll_start_job_ext( cluster, proc, from_host, node_list )
  
  rc = ll_terminate_job( cluster, proc, from_host, message )
  
  (rc, errObj) = ll_preempt( job_step_id, PREEMPT_STEP|RESUME_STEP )

 (rc, errObj) = ll_modify( EXECUTION_FACTOR|CONSUMABLE_CPUS|CONSUMABLE_MEMORY|
 WCLIMIT_ADD_MIN|JOB_CLASS|ACCOUNT_NO, value, job_step )

  #
  # Error Handling API
  #

  ll_error(errObj, 1 | 2 )

  # 
  # Data Access API
  #
  
  query = ll_query( JOBS|MACHINES|CLUSTER|WLMSTAT|MATRIX)
  
  return = ll_set_request( query, QUERY_ALL|QUERY_JOBID|QUERY_STEPID|
                                         QUERY_GROUP|QUERY_CLASS|QUERY_HOST|QUERY_STARTDATE|
                                         QUERY_ENDDATE|QUERY_PROCID,
                                         filter, ALL_DATA|Q_LINE|STATUS_LINE )

  object, num_objs, error_code = ll_get_objs( query, LL_STARTED|LL_SCHEDD|LL_CM|LL_MASTER|\
                                     LL_STARTER|LL_HISTORY_FILE, hostname )

  return = ll_reset_request( object )

  next_object = ll_next_obj( object )

  return = ll_free_objs( object )
 
  return = ll_deallocate( object )
  
  result = ll_get_data( object, LLAPI_Specification )

DESCRIPTION

This module provides access to the APIs of the IBM LoadLeveler Workload Management System. The APIs currently implemented are:

The LoadLeveler API returns a huge amount of information, the ll_get_data call has over 300 different specifications that can be supplied. To use this module you really need a copy of the the IBM documentation on using LoadLeveler and maybe a copy of the llapi.h header file.

Build/Installation

Currently the module is hard coded to the llapi.h supplied with LoadLeveler 3.2 and a valid llapi.h is required in the build process as well as the LoadLeveler library. If your installation is not in the expected location then modify the setup.py file.

Standard build/installation is via supported by the python distutils module

                python setup.py build
                python setup.py install
                mv /usr/lib/python/site-packages/pyloadl.so /usr/lib/python/site-packages/pyloadl/

CREDITS

Many thanks are extended to Mary Cushion, Mike Hawkins, Peter Mayes and Waiman Chan plus anyone else who is unfortunate enough to know me.

AUTHOR(S)

Mark Roberts <mark@eiger.demon.co.uk>