AirFlow: How to set large number of external dependencies in one line?










0















I am reading this question trying to implement dependencies on tasks of other DAGs. In this example, dependency is written as:



ExternalTaskSensor(
task_id='wait_for_the_first_task_to_be_completed',
external_dag_id='a',
external_task_id='first_task',
dag=dag) >>


In my data warehouse, one table may depends on hundreds of tasks. Using this format, it will generate 2*number of dependencies lines of codes. This is really unacceptable, is there any better choice?



For instance, in Azkaban, I can write multi dependencies like this:



dependencies = dag1.task1, dag2.task4, dag2.task5, DAG3.task2, etc...


Any help is appreciated.










share|improve this question




























    0















    I am reading this question trying to implement dependencies on tasks of other DAGs. In this example, dependency is written as:



    ExternalTaskSensor(
    task_id='wait_for_the_first_task_to_be_completed',
    external_dag_id='a',
    external_task_id='first_task',
    dag=dag) >>


    In my data warehouse, one table may depends on hundreds of tasks. Using this format, it will generate 2*number of dependencies lines of codes. This is really unacceptable, is there any better choice?



    For instance, in Azkaban, I can write multi dependencies like this:



    dependencies = dag1.task1, dag2.task4, dag2.task5, DAG3.task2, etc...


    Any help is appreciated.










    share|improve this question


























      0












      0








      0








      I am reading this question trying to implement dependencies on tasks of other DAGs. In this example, dependency is written as:



      ExternalTaskSensor(
      task_id='wait_for_the_first_task_to_be_completed',
      external_dag_id='a',
      external_task_id='first_task',
      dag=dag) >>


      In my data warehouse, one table may depends on hundreds of tasks. Using this format, it will generate 2*number of dependencies lines of codes. This is really unacceptable, is there any better choice?



      For instance, in Azkaban, I can write multi dependencies like this:



      dependencies = dag1.task1, dag2.task4, dag2.task5, DAG3.task2, etc...


      Any help is appreciated.










      share|improve this question
















      I am reading this question trying to implement dependencies on tasks of other DAGs. In this example, dependency is written as:



      ExternalTaskSensor(
      task_id='wait_for_the_first_task_to_be_completed',
      external_dag_id='a',
      external_task_id='first_task',
      dag=dag) >>


      In my data warehouse, one table may depends on hundreds of tasks. Using this format, it will generate 2*number of dependencies lines of codes. This is really unacceptable, is there any better choice?



      For instance, in Azkaban, I can write multi dependencies like this:



      dependencies = dag1.task1, dag2.task4, dag2.task5, DAG3.task2, etc...


      Any help is appreciated.







      hadoop airflow airflow-scheduler






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 15 '18 at 7:11







      user2894829

















      asked Nov 15 '18 at 4:10









      user2894829user2894829

      978




      978






















          1 Answer
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          0














          You can create your sensors in a loop and set dependencies within it. I think it's cleaner, but I'm not sure if that meets your requirement regarding amount of code as number of dependencies increase.



          Example:



          dependencies = [('dag1', 'task1'), ('dag2', 'task4'), ('dag2', 'task5'), ('dag3', 'task2')]

          other_task = PythonOperator(...)

          for dag_id, task_id in dependencies:
          sensor = ExternalTaskSensor(
          task_id='wait_for_0.1'.format(dag_id, task_id),
          external_dag_id=dag_id,
          external_task_id=task_id,
          dag=dag)
          sensor >> other_task





          share|improve this answer






















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            1 Answer
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            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            0














            You can create your sensors in a loop and set dependencies within it. I think it's cleaner, but I'm not sure if that meets your requirement regarding amount of code as number of dependencies increase.



            Example:



            dependencies = [('dag1', 'task1'), ('dag2', 'task4'), ('dag2', 'task5'), ('dag3', 'task2')]

            other_task = PythonOperator(...)

            for dag_id, task_id in dependencies:
            sensor = ExternalTaskSensor(
            task_id='wait_for_0.1'.format(dag_id, task_id),
            external_dag_id=dag_id,
            external_task_id=task_id,
            dag=dag)
            sensor >> other_task





            share|improve this answer



























              0














              You can create your sensors in a loop and set dependencies within it. I think it's cleaner, but I'm not sure if that meets your requirement regarding amount of code as number of dependencies increase.



              Example:



              dependencies = [('dag1', 'task1'), ('dag2', 'task4'), ('dag2', 'task5'), ('dag3', 'task2')]

              other_task = PythonOperator(...)

              for dag_id, task_id in dependencies:
              sensor = ExternalTaskSensor(
              task_id='wait_for_0.1'.format(dag_id, task_id),
              external_dag_id=dag_id,
              external_task_id=task_id,
              dag=dag)
              sensor >> other_task





              share|improve this answer

























                0












                0








                0







                You can create your sensors in a loop and set dependencies within it. I think it's cleaner, but I'm not sure if that meets your requirement regarding amount of code as number of dependencies increase.



                Example:



                dependencies = [('dag1', 'task1'), ('dag2', 'task4'), ('dag2', 'task5'), ('dag3', 'task2')]

                other_task = PythonOperator(...)

                for dag_id, task_id in dependencies:
                sensor = ExternalTaskSensor(
                task_id='wait_for_0.1'.format(dag_id, task_id),
                external_dag_id=dag_id,
                external_task_id=task_id,
                dag=dag)
                sensor >> other_task





                share|improve this answer













                You can create your sensors in a loop and set dependencies within it. I think it's cleaner, but I'm not sure if that meets your requirement regarding amount of code as number of dependencies increase.



                Example:



                dependencies = [('dag1', 'task1'), ('dag2', 'task4'), ('dag2', 'task5'), ('dag3', 'task2')]

                other_task = PythonOperator(...)

                for dag_id, task_id in dependencies:
                sensor = ExternalTaskSensor(
                task_id='wait_for_0.1'.format(dag_id, task_id),
                external_dag_id=dag_id,
                external_task_id=task_id,
                dag=dag)
                sensor >> other_task






                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 15 '18 at 7:40









                Daniel HuangDaniel Huang

                2,0021015




                2,0021015





























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