KubernetesProvider(image: str, namespace: str = 'default', nodes_per_block: int = 1, init_blocks: int = 4, min_blocks: int = 0, max_blocks: int = 10, max_cpu: float = 2, max_mem: str = '500Mi', init_cpu: float = 1, init_mem: str = '250Mi', parallelism: float = 1, worker_init: str = '', pod_name: Optional[str] = None, user_id: Optional[str] = None, group_id: Optional[str] = None, run_as_non_root: bool = False, secret: Optional[str] = None, persistent_volumes: List[Tuple[str, str]] = )¶
Kubernetes execution provider :param namespace: Kubernetes namespace to create deployments. :type namespace: str :param image: Docker image to use in the deployment. :type image: str :param nodes_per_block: Nodes to provision per block. :type nodes_per_block: int :param init_blocks: Number of blocks to provision at the start of the run. Default is 1. :type init_blocks: int :param min_blocks: Minimum number of blocks to maintain. :type min_blocks: int :param max_blocks: Maximum number of blocks to maintain. :type max_blocks: int :param max_cpu: CPU limits of the blocks (pods), in cpu units.This is the cpu “limits” option for resource specification. Check kubernetes docs for more details. Default is 2.
- max_mem (str) – Memory limits of the blocks (pods), in Mi or Gi. This is the memory “limits” option for resource specification on kubernetes. Check kubernetes docs for more details. Default is 500Mi.
- init_cpu (float) – CPU limits of the blocks (pods), in cpu units. This is the cpu “requests” option for resource specification. Check kubernetes docs for more details. Default is 1.
- init_mem (str) – Memory limits of the blocks (pods), in Mi or Gi. This is the memory “requests” option for resource specification on kubernetes. Check kubernetes docs for more details. Default is 250Mi.
- 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.
- worker_init (str) – Command to be run first for the workers, such as python start.py.
- secret (str) – Docker secret to use to pull images
- pod_name (str) – The name for the pod, will be appended with a timestamp. Default is None, meaning parsl automatically names the pod.
- user_id (str) – Unix user id to run the container as.
- group_id (str) – Unix group id to run the container as.
- run_as_non_root (bool) – Run as non-root (True) or run as root (False).
- persistent_volumes (list[(str, str)]) – List of tuples describing persistent volumes to be mounted in the pod. The tuples consist of (PVC Name, Mount Directory).
Cancels the resources identified by the job_ids provided by the user.
job_ids (-) – A list of job identifiers
- A list of status from cancelling the job which can be True, False
- ExecutionProviderException or its subclasses
Provides the label for this provider
Get the status of a list of jobs identified by the job identifiers returned from the submit request. :param - job_ids: A list of job identifiers :type - job_ids: list
- A list of status from [‘PENDING’, ‘RUNNING’, ‘CANCELLED’, ‘COMPLETED’, ‘FAILED’, ‘TIMEOUT’] corresponding to each job_id in the job_ids list.
- ExecutionProviderExceptions or its subclasses
submit(cmd_string, tasks_per_node, task_type, job_name='FuncX')¶
Submit a job :param - cmd_string: (String) - Name of the container to initiate :param - tasks_per_node: command invocations to be launched per node :type - tasks_per_node: int
- job_name (String): Name for job, must be unique
Returns: At capacity, cannot provision more - job_id: (string) Identifier for the job Return type: