airflow looker 源码
airflow looker 代码
文件路径:/airflow/providers/google/cloud/operators/looker.py
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# Licensed to the Apache Software Foundation (ASF) under one
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# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
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# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
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"""This module contains Google Cloud Looker operators."""
from __future__ import annotations
from typing import TYPE_CHECKING
from airflow.exceptions import AirflowException
from airflow.models import BaseOperator
from airflow.providers.google.cloud.hooks.looker import LookerHook
if TYPE_CHECKING:
from airflow.utils.context import Context
class LookerStartPdtBuildOperator(BaseOperator):
"""
Submits a PDT materialization job to Looker.
:param looker_conn_id: Required. The connection ID to use connecting to Looker.
:param model: Required. The model of the PDT to start building.
:param view: Required. The view of the PDT to start building.
:param query_params: Optional. Additional materialization parameters.
:param asynchronous: Optional. Flag indicating whether to wait for the job
to finish or return immediately.
This is useful for submitting long running jobs and
waiting on them asynchronously using the LookerCheckPdtBuildSensor
:param cancel_on_kill: Optional. Flag which indicates whether cancel the
hook's job or not, when on_kill is called.
:param wait_time: Optional. Number of seconds between checks for job to be
ready. Used only if ``asynchronous`` is False.
:param wait_timeout: Optional. How many seconds wait for job to be ready.
Used only if ``asynchronous`` is False.
"""
def __init__(
self,
looker_conn_id: str,
model: str,
view: str,
query_params: dict | None = None,
asynchronous: bool = False,
cancel_on_kill: bool = True,
wait_time: int = 10,
wait_timeout: int | None = None,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.model = model
self.view = view
self.query_params = query_params
self.looker_conn_id = looker_conn_id
self.asynchronous = asynchronous
self.cancel_on_kill = cancel_on_kill
self.wait_time = wait_time
self.wait_timeout = wait_timeout
self.hook: LookerHook | None = None
self.materialization_id: str | None = None
def execute(self, context: Context) -> str:
self.hook = LookerHook(looker_conn_id=self.looker_conn_id)
resp = self.hook.start_pdt_build(
model=self.model,
view=self.view,
query_params=self.query_params,
)
self.materialization_id = resp.materialization_id
if not self.materialization_id:
raise AirflowException(
f'No `materialization_id` was returned for model: {self.model}, view: {self.view}.'
)
self.log.info("PDT materialization job submitted successfully. Job id: %s.", self.materialization_id)
if not self.asynchronous:
self.hook.wait_for_job(
materialization_id=self.materialization_id,
wait_time=self.wait_time,
timeout=self.wait_timeout,
)
return self.materialization_id
def on_kill(self):
if self.materialization_id and self.cancel_on_kill:
self.hook.stop_pdt_build(materialization_id=self.materialization_id)
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