### Description

Add Databricks Cluster API in Databricks Hook


### Use case/motivation

Databricks provider lacks [Cluster API](https://docs.databricks.com/dev-tools/api/latest/clusters.html) access to allow
to CRUD cluster as well as manage clusters (start/restart/delete/...)
Those API are very convenient to control clusters (get status, force shutdown...) and to optimize some specific flows (scale cluster in advance when a coming need is detected )

### Related issues

none

### Are you willing to submit a PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

"""
        Returns the resulting state of the run.
        :param run_id: id of the run
        :return: string with resulting state
        """
        return self.get_run_state(run_id).result_state
    def get_run_state_message(self, run_id: int) -> str:
        """
        Returns the state message for the run.
        :param run_id: id of the run
        :return: string with state message
        """
        return self.get_run_state(run_id).state_message
    def get_run_output(self, run_id: int) -> dict:
        """
        Retrieves run output of the run.
        :param run_id: id of the run
        :return: output of the run
        """
        json = {"run_id": run_id}
        run_output = self._do_api_call(OUTPUT_RUNS_JOB_ENDPOINT, json)
        return run_output
    def cancel_run(self, run_id: int) -> None:
        """
        Cancels the run.
        :param run_id: id of the run
        """
        json = {"run_id": run_id}
        self._do_api_call(CANCEL_RUN_ENDPOINT, json)
    def cancel_all_runs(self, job_id: int) -> None: