trollhe opened a new issue #13530: URL: https://github.com/apache/airflow/issues/13530
tutorial ``` # -*- coding: utf-8 -*- # # 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. """ ### Tutorial Documentation Documentation that goes along with the Airflow tutorial located [here](https://airflow.apache.org/tutorial.html) """ # [START tutorial] # [START import_module] from datetime import timedelta # The DAG object; we'll need this to instantiate a DAG from airflow import DAG # Operators; we need this to operate! from airflow.operators.bash_operator import BashOperator from airflow.utils.dates import days_ago # [END import_module] # [START default_args] # These args will get passed on to each operator # You can override them on a per-task basis during operator initialization default_args = { 'owner': 'airflow', 'depends_on_past': False, 'start_date': days_ago(2), 'email': ['[email protected]'], 'email_on_failure': False, 'email_on_retry': False, 'retries': 1, 'retry_delay': timedelta(minutes=5), # 'queue': 'bash_queue', # 'pool': 'backfill', # 'priority_weight': 10, # 'end_date': datetime(2016, 1, 1), # 'wait_for_downstream': False, # 'dag': dag, # 'sla': timedelta(hours=2), # 'execution_timeout': timedelta(seconds=300), # 'on_failure_callback': some_function, # 'on_success_callback': some_other_function, # 'on_retry_callback': another_function, # 'sla_miss_callback': yet_another_function, # 'trigger_rule': 'all_success' } # [END default_args] # [START instantiate_dag] dag = DAG( 'tutorial', default_args=default_args, description='A simple tutorial DAG', schedule_interval=timedelta(days=1), ) # [END instantiate_dag] # t1, t2 and t3 are examples of tasks created by instantiating operators # [START basic_task] t1 = BashOperator( task_id='print_date', bash_command='date', dag=dag, ) t2 = BashOperator( task_id='sleep', depends_on_past=False, bash_command='sleep 5', retries=3, dag=dag, ) # [END basic_task] # [START documentation] dag.doc_md = __doc__ t1.doc_md = """\ #### Task Documentation You can document your task using the attributes `doc_md` (markdown), `doc` (plain text), `doc_rst`, `doc_json`, `doc_yaml` which gets rendered in the UI's Task Instance Details page.  """ # [END documentation] # [START jinja_template] templated_command = """ {% for i in range(5) %} echo "{{ ds }}" echo "{{ macros.ds_add(ds, 7)}}" echo "{{ params.my_param }}" {% endfor %} """ t3 = BashOperator( task_id='templated', depends_on_past=False, bash_command=templated_command, params={'my_param': 'Parameter I passed in'}, dag=dag, ) # [END jinja_template] t1 >> [t2, t3] # [END tutorial] ``` backfill ``` airflow backfill tutorial -s 2020-06-01 -e 2020-06-07 ```  how to get tutorial dag schedule datetime in code？but now is 2021-01-07. ``` eg: 2020-06-07 2020-06-01 ``` ---------------------------------------------------------------- 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]
