Class TaskGroup (0.12.0)

TaskGroup(mapping=None, *, ignore_unknown_fields=False, **kwargs)

A TaskGroup defines one or more Tasks that all share the same TaskSpec.


name str
Output only. TaskGroup name. The system generates this field based on parent Job name. For example: "projects/123456/locations/us-west1/jobs/job01/taskGroups/group01".
Required. Tasks in the group share the same task spec.
task_count int
Number of Tasks in the TaskGroup. Default is 1.
parallelism int
Max number of tasks that can run in parallel. Default to min(task_count, 1000). Field parallelism must be 1 if the scheduling_policy is IN_ORDER.
Scheduling policy for Tasks in the TaskGroup. The default value is AS_SOON_AS_POSSIBLE.
task_environments MutableSequence[]
An array of environment variable mappings, which are passed to Tasks with matching indices. If task_environments is used then task_count should not be specified in the request (and will be ignored). Task count will be the length of task_environments. Tasks get a BATCH_TASK_INDEX and BATCH_TASK_COUNT environment variable, in addition to any environment variables set in task_environments, specifying the number of Tasks in the Task's parent TaskGroup, and the specific Task's index in the TaskGroup (0 through BATCH_TASK_COUNT - 1).
task_count_per_node int
Max number of tasks that can be run on a VM at the same time. If not specified, the system will decide a value based on available compute resources on a VM and task requirements.
require_hosts_file bool
When true, Batch will populate a file with a list of all VMs assigned to the TaskGroup and set the BATCH_HOSTS_FILE environment variable to the path of that file. Defaults to false.
permissive_ssh bool
When true, Batch will configure SSH to allow passwordless login between VMs running the Batch tasks in the same TaskGroup.




How Tasks in the TaskGroup should be scheduled relative to each other.

Values: SCHEDULING_POLICY_UNSPECIFIED (0): Unspecified. AS_SOON_AS_POSSIBLE (1): Run Tasks as soon as resources are available.

    Tasks might be executed in parallel depending on parallelism
    and task_count values.
    Run Tasks sequentially with increased task