ray.util.state.common.ObjectSummaryPerKey#

class ray.util.state.common.ObjectSummaryPerKey(total_objects: int, total_size_mb: float, total_num_workers: int, total_num_nodes: int, task_state_counts: ~typing.Dict[~typing.Literal['NIL', 'PENDING_ARGS_AVAIL', 'PENDING_NODE_ASSIGNMENT', 'PENDING_OBJ_STORE_MEM_AVAIL', 'PENDING_ARGS_FETCH', 'SUBMITTED_TO_WORKER', 'PENDING_ACTOR_TASK_ARGS_FETCH', 'PENDING_ACTOR_TASK_ORDERING_OR_CONCURRENCY', 'RUNNING', 'RUNNING_IN_RAY_GET', 'RUNNING_IN_RAY_WAIT', 'FINISHED', 'FAILED'], int] = <factory>, task_attempt_number_counts: ~typing.Dict[str, int] = <factory>, ref_type_counts: ~typing.Dict[~typing.Literal['ACTOR_HANDLE', 'PINNED_IN_MEMORY', 'LOCAL_REFERENCE', 'USED_BY_PENDING_TASK', 'CAPTURED_IN_OBJECT', 'UNKNOWN_STATUS'], int] = <factory>)[source]#

total_objects: int#: Total number of objects of the type.

total_size_mb: float#: Total size in mb.

total_num_workers: int#: Total number of workers that reference the type of objects.

total_num_nodes: int#: Total number of nodes that reference the type of objects.

task_state_counts: Dict[Literal['NIL', 'PENDING_ARGS_AVAIL', 'PENDING_NODE_ASSIGNMENT', 'PENDING_OBJ_STORE_MEM_AVAIL', 'PENDING_ARGS_FETCH', 'SUBMITTED_TO_WORKER', 'PENDING_ACTOR_TASK_ARGS_FETCH', 'PENDING_ACTOR_TASK_ORDERING_OR_CONCURRENCY', 'RUNNING', 'RUNNING_IN_RAY_GET', 'RUNNING_IN_RAY_WAIT', 'FINISHED', 'FAILED'], int]#: State name to the count dict. State name is equivalent to ObjectState.

task_attempt_number_counts: Dict[str, int]#: Attempt number to the count dict. The attempt number include the current execution

ref_type_counts: Dict[Literal['ACTOR_HANDLE', 'PINNED_IN_MEMORY', 'LOCAL_REFERENCE', 'USED_BY_PENDING_TASK', 'CAPTURED_IN_OBJECT', 'UNKNOWN_STATUS'], int]#: Ref count type to the count dict. State name is equivalent to ObjectState.