ray.experimental.state.api.list_tasks#

ray.experimental.state.api.list_tasks(address: Optional[str] = None, filters: Optional[List[Tuple[str, str, Union[str, bool, int, float]]]] = None, limit: int = 100, timeout: int = 30, detail: bool = False, raise_on_missing_output: bool = True, _explain: bool = False) → List[Dict][source]#

List tasks in the cluster.

Parameters

  • address – Ray bootstrap address, could be auto, localhost:6379. If None, it will be resolved automatically from an initialized ray.

  • filters – List of tuples of filter key, predicate (=, or !=), and the filter value. E.g., ("is_alive", "=", "True")

  • limit – Max number of entries returned by the state backend.

  • timeout – Max timeout value for the state APIs requests made.

  • detail – When True, more details info (specified in WorkerState) will be queried and returned. See WorkerState.

  • raise_on_missing_output – When True, exceptions will be raised if there is missing data due to truncation/data source unavailable.

  • _explain – Print the API information such as API latency or failed query information.

Returns

List of dictionarified WorkerState.

Raises

Exceptions – RayStateApiException if the CLI failed to query the data.