How to integrate Airflow with Github for running scripts

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.

edited Nov 21 '18 at 11:33

user10465355

1,8202416

asked Nov 21 '18 at 6:10

AshishPatil

288

add a comment |

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.

edited Nov 21 '18 at 11:33

user10465355

1,8202416

asked Nov 21 '18 at 6:10

AshishPatil

288

add a comment |

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.

edited Nov 21 '18 at 11:33

user10465355

1,8202416

asked Nov 21 '18 at 6:10

AshishPatil

288

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

edited Nov 21 '18 at 11:33

user10465355

1,8202416

asked Nov 21 '18 at 6:10

AshishPatil

288

edited Nov 21 '18 at 11:33

user10465355

1,8202416

asked Nov 21 '18 at 6:10

AshishPatil

288

edited Nov 21 '18 at 11:33

user10465355

1,8202416

edited Nov 21 '18 at 11:33

user10465355

1,8202416

edited Nov 21 '18 at 11:33

user10465355

1,8202416

asked Nov 21 '18 at 6:10

AshishPatil

288

asked Nov 21 '18 at 6:10

AshishPatil

288

asked Nov 21 '18 at 6:10

AshishPatil

288

add a comment |

1 Answer
1

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oldest

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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.

answered Nov 21 '18 at 8:12

Meghdeep Ray

2,53831838

add a comment |

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1 Answer
1

active

oldest

votes

1 Answer
1

active

oldest

votes

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.

answered Nov 21 '18 at 8:12

Meghdeep Ray

2,53831838

add a comment |

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.

answered Nov 21 '18 at 8:12

Meghdeep Ray

2,53831838

add a comment |

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.

answered Nov 21 '18 at 8:12

Meghdeep Ray

2,53831838

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.

answered Nov 21 '18 at 8:12

Meghdeep Ray

2,53831838

answered Nov 21 '18 at 8:12

Meghdeep Ray

2,53831838

answered Nov 21 '18 at 8:12

Meghdeep Ray

2,53831838

answered Nov 21 '18 at 8:12

Meghdeep Ray

2,53831838

add a comment |

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