feluelle commented on a change in pull request #7410: [AIRFLOW-6790] Add basic Tableau Integration URL: https://github.com/apache/airflow/pull/7410#discussion_r381203640
########## File path: airflow/providers/salesforce/example_dags/example_tableau_refresh_workbook.py ########## @@ -0,0 +1,59 @@ +# +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# 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 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +""" +This is an example dag that performs a refresh operation on a Tableau Workbook aka Extract. Since this is an +asynchronous operation we don't know when the operation actually finishes. That's why we have a second task +that checks exactly that. So that you can perform further operations after the extract has been refreshed. +""" +from datetime import timedelta + +from airflow import DAG +from airflow.providers.salesforce.operators.tableau_refresh_workbook import TableauRefreshWorkbookOperator +from airflow.providers.salesforce.sensors.tableau_job_status import TableauJobStatusSensor +from airflow.utils.dates import days_ago + +DEFAULT_ARGS = { + 'owner': 'airflow', + 'depends_on_past': False, + 'start_date': days_ago(2), + 'email': ['[email protected]'], + 'email_on_failure': False, + 'email_on_retry': False +} + +with DAG( + dag_id='example_tableau_refresh_workbook', + default_args=DEFAULT_ARGS, + dagrun_timeout=timedelta(hours=2), + schedule_interval=None, + tags=['example'], +) as dag: + task_refresh_workbook = TableauRefreshWorkbookOperator( + site_id='my_site', + workbook_name='MyWorkbook', + task_id='refresh_tableau_workbook', + dag=dag + ) + task_check_job_status = TableauJobStatusSensor( Review comment: I could make this configurable so that after the refresh operation has been kicked off It will poke until it succeeds and then the task status will be success. But this would mean that you can have this bad case where the refresh operation has been kicked off successfully but somehow the poke fails due to a unusual error. When you then clear this task (because it failed) you will kick off another extract refresh. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
