How to integrate Airflow with Github for running scripts












1















If we maintain our code/scripts in github repository account, is there any way to copy these scripts from Github repository and execute on some other cluster ( which can be Hadoop or Spark).



Does airflow provides any operator to connect to Github for fetching such files ?



Maintaining scripts in Github will provide more flexibility as every change in the code will be reflected and used directly from there.



Any idea on this scenario will really help.










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    1















    If we maintain our code/scripts in github repository account, is there any way to copy these scripts from Github repository and execute on some other cluster ( which can be Hadoop or Spark).



    Does airflow provides any operator to connect to Github for fetching such files ?



    Maintaining scripts in Github will provide more flexibility as every change in the code will be reflected and used directly from there.



    Any idea on this scenario will really help.










    share|improve this question



























      1












      1








      1








      If we maintain our code/scripts in github repository account, is there any way to copy these scripts from Github repository and execute on some other cluster ( which can be Hadoop or Spark).



      Does airflow provides any operator to connect to Github for fetching such files ?



      Maintaining scripts in Github will provide more flexibility as every change in the code will be reflected and used directly from there.



      Any idea on this scenario will really help.










      share|improve this question
















      If we maintain our code/scripts in github repository account, is there any way to copy these scripts from Github repository and execute on some other cluster ( which can be Hadoop or Spark).



      Does airflow provides any operator to connect to Github for fetching such files ?



      Maintaining scripts in Github will provide more flexibility as every change in the code will be reflected and used directly from there.



      Any idea on this scenario will really help.







      python github airflow






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      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 21 '18 at 11:33









      user10465355

      1,8202416




      1,8202416










      asked Nov 21 '18 at 6:10









      AshishPatilAshishPatil

      288




      288
























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          You can use GitPython as part of a PythonOperator task to run the pull as per a specified schedule.



          import git 

          g = git.cmd.Git( git_dir )
          g.pull()


          Don't forget to make sure that you have added the relevant keys so that the airflow workers have permission to pull the data.






          share|improve this answer























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            1 Answer
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            1 Answer
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            You can use GitPython as part of a PythonOperator task to run the pull as per a specified schedule.



            import git 

            g = git.cmd.Git( git_dir )
            g.pull()


            Don't forget to make sure that you have added the relevant keys so that the airflow workers have permission to pull the data.






            share|improve this answer




























              0














              You can use GitPython as part of a PythonOperator task to run the pull as per a specified schedule.



              import git 

              g = git.cmd.Git( git_dir )
              g.pull()


              Don't forget to make sure that you have added the relevant keys so that the airflow workers have permission to pull the data.






              share|improve this answer


























                0












                0








                0







                You can use GitPython as part of a PythonOperator task to run the pull as per a specified schedule.



                import git 

                g = git.cmd.Git( git_dir )
                g.pull()


                Don't forget to make sure that you have added the relevant keys so that the airflow workers have permission to pull the data.






                share|improve this answer













                You can use GitPython as part of a PythonOperator task to run the pull as per a specified schedule.



                import git 

                g = git.cmd.Git( git_dir )
                g.pull()


                Don't forget to make sure that you have added the relevant keys so that the airflow workers have permission to pull the data.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 21 '18 at 8:12









                Meghdeep RayMeghdeep Ray

                2,53831838




                2,53831838






























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