46 строки
1.4 KiB
Python
46 строки
1.4 KiB
Python
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# -*- coding: utf-8 -*-
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from airflow.operators.bash_operator import BashOperator
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from airflow.models import DAG
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from datetime import datetime, timedelta
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five_days_ago = datetime.combine(datetime.today() - timedelta(5),
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datetime.min.time())
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args = {
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'owner': 'airflow',
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'start_date': five_days_ago,
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}
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dag = DAG(
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dag_id='perf_dag_2', default_args=args,
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schedule_interval='@daily',
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dagrun_timeout=timedelta(minutes=60))
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task_1 = BashOperator(
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task_id='perf_task_1',
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bash_command='sleep 5; echo "run_id={{ run_id }} | dag_run={{ dag_run }}"',
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dag=dag)
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for i in range(2, 5):
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task = BashOperator(
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task_id='perf_task_{}'.format(i),
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bash_command='''
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sleep 5; echo "run_id={{ run_id }} | dag_run={{ dag_run }}"
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''',
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dag=dag)
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task.set_upstream(task_1)
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if __name__ == "__main__":
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dag.cli()
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