NAME¶

SYNOPSIS¶

DESCRIPTION¶

By default, work_queue_factory will run as many workers as the indicated masters have tasks ready to run. If there are multiple masters, then enough workers will be started to satisfy their collective needs. For example, if there are two masters with the same project name, each with 10 tasks to run, then work_queue_factory will start a total of 20 workers.

If the number of needed workers increases, work_queue_factory will submit more workers to meet the desired need. However, it will not run more than a fixed maximum number of workers, given by the -W option.

If the need for workers drops, work_queue_factory does not remove them immediately, but waits to them to exit on their own. (This happens when the worker has been idle for a certain time.) A minimum number of workers will be maintained, given by the -w option.

If given the -c option, then work_queue_factory will consider the capacity reported by each master. The capacity is the estimated number of workers that the master thinks it can handle, based on the task execution and data transfer times currently observed at the master. With the -c option on, work_queue_factory will consider the master's capacity to be the maximum number of workers to run.

If work_queue_factory receives a terminating signal, it will attempt to remove all running workers before exiting.

OPTIONS¶

EXIT STATUS¶

EXAMPLES¶

work_queue_factory -T condor -M barney
    

To maintain a maximum of 100 workers on an SGE batch system, do this:

work_queue_factory -T sge -M barney -W 100
    

To start workers such that the workers exit after 5 minutes (300s) of idleness:

work_queue_factory -T condor -M barney -t 300
    

If you want to start workers that match any project that begins with barney, use a regular expression:

work_queue_factory -T condor -M barney.-t 300
    

If running on condor, you may manually specify condor requirements:

work_queue_factory -T condor -M barney --condor-requirements 'MachineGroup == "disc"' --condor-requirements 'has_matlab == true'
    

Repeated uses of condor-requirements are and-ed together. The previous example will produce a statement equivalent to:

requirements = ((MachineGroup == "disc") && (has_matlab == true))

Use the configuration file my_conf:

work_queue_factory -Cmy_conf
    

my_conf should be a proper JSON document, as:

{
        "master-name": "my_master.*",
        "max-workers": 100,
        "min-workers": 0
}
    

Valid configuration fields are:

master-name
foremen-name
min-workers
max-workers
workers-per-cycle
task-per-worker
timeout
worker-extra-options
condor-requirements
cores
memory
disk
    

KNOWN BUGS¶

COPYRIGHT¶

SEE ALSO¶

• Cooperative Computing Tools Documentation
• Work Queue User Manual
• work_queue_worker(1) work_queue_status(1) work_queue_factory(1) condor_submit_workers(1) sge_submit_workers(1) torque_submit_workers(1)