Source code for airflow.contrib.hooks.databricks_hook

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import requests

from airflow import __version__
from airflow.exceptions import AirflowException
from airflow.hooks.base_hook import BaseHook
from requests import exceptions as requests_exceptions
from requests.auth import AuthBase
from time import sleep
from six.moves.urllib import parse as urlparse

[docs]RESTART_CLUSTER_ENDPOINT = ("POST", "api/2.0/clusters/restart")
[docs]START_CLUSTER_ENDPOINT = ("POST", "api/2.0/clusters/start")
[docs]TERMINATE_CLUSTER_ENDPOINT = ("POST", "api/2.0/clusters/delete")
[docs]RUN_NOW_ENDPOINT = ('POST', 'api/2.0/jobs/run-now')
[docs]SUBMIT_RUN_ENDPOINT = ('POST', 'api/2.0/jobs/runs/submit')
[docs]GET_RUN_ENDPOINT = ('GET', 'api/2.0/jobs/runs/get')
[docs]CANCEL_RUN_ENDPOINT = ('POST', 'api/2.0/jobs/runs/cancel')
[docs]USER_AGENT_HEADER = {'user-agent': 'airflow-{v}'.format(v=__version__)}
[docs]class DatabricksHook(BaseHook): """ Interact with Databricks. """ def __init__( self, databricks_conn_id='databricks_default', timeout_seconds=180, retry_limit=3, retry_delay=1.0): """ :param databricks_conn_id: The name of the databricks connection to use. :type databricks_conn_id: str :param timeout_seconds: The amount of time in seconds the requests library will wait before timing-out. :type timeout_seconds: int :param retry_limit: The number of times to retry the connection in case of service outages. :type retry_limit: int :param retry_delay: The number of seconds to wait between retries (it might be a floating point number). :type retry_delay: float """ self.databricks_conn_id = databricks_conn_id self.databricks_conn = self.get_connection(databricks_conn_id) self.timeout_seconds = timeout_seconds if retry_limit < 1: raise ValueError('Retry limit must be greater than equal to 1') self.retry_limit = retry_limit self.retry_delay = retry_delay @staticmethod
[docs] def _parse_host(host): """ The purpose of this function is to be robust to improper connections settings provided by users, specifically in the host field. For example -- when users supply ```` as the host, we must strip out the protocol to get the host.:: h = DatabricksHook() assert h._parse_host('') == \ '' In the case where users supply the correct ```` as the host, this function is a no-op.:: assert h._parse_host('') == '' """ urlparse_host = urlparse.urlparse(host).hostname if urlparse_host: # In this case, host = return urlparse_host else: # In this case, host = return host
[docs] def _do_api_call(self, endpoint_info, json): """ Utility function to perform an API call with retries :param endpoint_info: Tuple of method and endpoint :type endpoint_info: tuple[string, string] :param json: Parameters for this API call. :type json: dict :return: If the api call returns a OK status code, this function returns the response in JSON. Otherwise, we throw an AirflowException. :rtype: dict """ method, endpoint = endpoint_info if 'token' in self.databricks_conn.extra_dejson:'Using token auth. ') auth = _TokenAuth(self.databricks_conn.extra_dejson['token']) host = self._parse_host(self.databricks_conn.extra_dejson['host']) else:'Using basic auth. ') auth = (self.databricks_conn.login, self.databricks_conn.password) host = url = 'https://{host}/{endpoint}'.format( host=self._parse_host(host), endpoint=endpoint) if method == 'GET': request_func = requests.get elif method == 'POST': request_func = else: raise AirflowException('Unexpected HTTP Method: ' + method) attempt_num = 1 while True: try: response = request_func( url, json=json, auth=auth, headers=USER_AGENT_HEADER, timeout=self.timeout_seconds) response.raise_for_status() return response.json() except requests_exceptions.RequestException as e: if not _retryable_error(e): # In this case, the user probably made a mistake. # Don't retry. raise AirflowException('Response: {0}, Status Code: {1}'.format( e.response.content, e.response.status_code)) self._log_request_error(attempt_num, e) if attempt_num == self.retry_limit: raise AirflowException(('API requests to Databricks failed {} times. ' + 'Giving up.').format(self.retry_limit)) attempt_num += 1 sleep(self.retry_delay)
[docs] def _log_request_error(self, attempt_num, error): self.log.error( 'Attempt %s API Request to Databricks failed with reason: %s', attempt_num, error
[docs] def run_now(self, json): """ Utility function to call the ``api/2.0/jobs/run-now`` endpoint. :param json: The data used in the body of the request to the ``run-now`` endpoint. :type json: dict :return: the run_id as a string :rtype: str """ response = self._do_api_call(RUN_NOW_ENDPOINT, json) return response['run_id']
[docs] def submit_run(self, json): """ Utility function to call the ``api/2.0/jobs/runs/submit`` endpoint. :param json: The data used in the body of the request to the ``submit`` endpoint. :type json: dict :return: the run_id as a string :rtype: str """ response = self._do_api_call(SUBMIT_RUN_ENDPOINT, json) return response['run_id']
[docs] def get_run_page_url(self, run_id): json = {'run_id': run_id} response = self._do_api_call(GET_RUN_ENDPOINT, json) return response['run_page_url']
[docs] def get_run_state(self, run_id): json = {'run_id': run_id} response = self._do_api_call(GET_RUN_ENDPOINT, json) state = response['state'] life_cycle_state = state['life_cycle_state'] # result_state may not be in the state if not terminal result_state = state.get('result_state', None) state_message = state['state_message'] return RunState(life_cycle_state, result_state, state_message)
[docs] def cancel_run(self, run_id): json = {'run_id': run_id} self._do_api_call(CANCEL_RUN_ENDPOINT, json)
[docs] def restart_cluster(self, json): self._do_api_call(RESTART_CLUSTER_ENDPOINT, json)
[docs] def start_cluster(self, json): self._do_api_call(START_CLUSTER_ENDPOINT, json)
[docs] def terminate_cluster(self, json): self._do_api_call(TERMINATE_CLUSTER_ENDPOINT, json)
[docs]def _retryable_error(exception): return isinstance(exception, requests_exceptions.ConnectionError) \ or isinstance(exception, requests_exceptions.Timeout) \ or exception.response is not None and exception.response.status_code >= 500
[docs]class RunState: """ Utility class for the run state concept of Databricks runs. """ def __init__(self, life_cycle_state, result_state, state_message): self.life_cycle_state = life_cycle_state self.result_state = result_state self.state_message = state_message @property
[docs] def is_terminal(self): if self.life_cycle_state not in RUN_LIFE_CYCLE_STATES: raise AirflowException( ('Unexpected life cycle state: {}: If the state has ' 'been introduced recently, please check the Databricks user ' 'guide for troubleshooting information').format( self.life_cycle_state)) return self.life_cycle_state in ('TERMINATED', 'SKIPPED', 'INTERNAL_ERROR')
[docs] def is_successful(self): return self.result_state == 'SUCCESS'
[docs] def __eq__(self, other): return self.life_cycle_state == other.life_cycle_state and \ self.result_state == other.result_state and \ self.state_message == other.state_message
[docs] def __repr__(self): return str(self.__dict__)
[docs]class _TokenAuth(AuthBase): """ Helper class for requests Auth field. AuthBase requires you to implement the __call__ magic function. """ def __init__(self, token): self.token = token
[docs] def __call__(self, r): r.headers['Authorization'] = 'Bearer ' + self.token return r

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