parsl.providers.CondorProvider
- class parsl.providers.CondorProvider(channel: Channel = LocalChannel(envs={}, script_dir=None, userhome='/home/docs/checkouts/readthedocs.org/user_builds/parsl/checkouts/stable/docs'), nodes_per_block: int = 1, cores_per_slot: int | None = None, mem_per_slot: float | None = None, init_blocks: int = 1, min_blocks: int = 0, max_blocks: int = 1, parallelism: float = 1, environment: Dict[str, str] | None = None, project: str = '', scheduler_options: str = '', transfer_input_files: List[str] = [], walltime: str = '00:10:00', worker_init: str = '', launcher: Launcher = SingleNodeLauncher(debug=True, fail_on_any=False), requirements: str = '', cmd_timeout: int = 60, cmd_chunk_size: int = 100)[source]
HTCondor Execution Provider.
- Parameters:
channel (Channel) – Channel for accessing this provider. Possible channels include
LocalChannel
(the default),SSHChannel
, orSSHInteractiveLoginChannel
.nodes_per_block (int) – Nodes to provision per block.
cores_per_slot (int) – Specify the number of cores to provision per slot. If set to None, executors will assume all cores on the node are available for computation. Default is None.
mem_per_slot (float) – Specify the real memory to provision per slot in GB. If set to None, no explicit request to the scheduler will be made. Default is None.
init_blocks (int) – Number of blocks to provision at time of initialization
min_blocks (int) – Minimum number of blocks to maintain
max_blocks (int) – Maximum number of blocks to maintain.
parallelism (float) – Ratio of provisioned task slots to active tasks. A parallelism value of 1 represents aggressive scaling where as many resources as possible are used; parallelism close to 0 represents the opposite situation in which as few resources as possible (i.e., min_blocks) are used.
environment (dict of str) – A dictionary of environmant variable name and value pairs which will be set before running a task.
project (str) – Project which the job will be charged against
scheduler_options (str) – String to add specific condor attributes to the HTCondor submit script.
transfer_input_files (list(str)) – List of strings of paths to additional files or directories to transfer to the job
worker_init (str) – Command to be run before starting a worker.
requirements (str) – Condor requirements.
launcher (Launcher) – Launcher for this provider. Possible launchers include
SingleNodeLauncher
(the default),cmd_timeout (int) – Timeout for commands made to the scheduler in seconds.
cmd_chunk_size (int) – Calls to the scheduler will be made for chunks of blocks with this size.
- __init__(channel: Channel = LocalChannel(envs={}, script_dir=None, userhome='/home/docs/checkouts/readthedocs.org/user_builds/parsl/checkouts/stable/docs'), nodes_per_block: int = 1, cores_per_slot: int | None = None, mem_per_slot: float | None = None, init_blocks: int = 1, min_blocks: int = 0, max_blocks: int = 1, parallelism: float = 1, environment: Dict[str, str] | None = None, project: str = '', scheduler_options: str = '', transfer_input_files: List[str] = [], walltime: str = '00:10:00', worker_init: str = '', launcher: Launcher = SingleNodeLauncher(debug=True, fail_on_any=False), requirements: str = '', cmd_timeout: int = 60, cmd_chunk_size: int = 100) None [source]
Methods
__init__
([channel, nodes_per_block, ...])cancel
(job_ids)Cancels the jobs specified by a list of job IDs.
execute_wait
(cmd[, timeout])status
(job_ids)Get the status of a list of jobs identified by their ids.
submit
(command, tasks_per_node[, job_name])Submits the command onto an Local Resource Manager job.
Attributes
cores_per_node
Number of cores to provision per node.
label
Provides the label for this provider
mem_per_node
Real memory to provision per node in GB.
Returns the interval, in seconds, at which the status method should be called.
- property status_polling_interval[source]
Returns the interval, in seconds, at which the status method should be called.
- Returns:
the number of seconds to wait between calls to status()
- submit(command, tasks_per_node, job_name='parsl.condor')[source]
Submits the command onto an Local Resource Manager job.
- example file with the complex case of multiple submits per job:
Universe =vanilla output = out.$(Cluster).$(Process) error = err.$(Cluster).$(Process) log = log.$(Cluster) leave_in_queue = true executable = test.sh queue 5 executable = foo queue 1
$ condor_submit test.sub Submitting job(s)…… 5 job(s) submitted to cluster 118907. 1 job(s) submitted to cluster 118908.