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Posted to commits@airflow.apache.org by GitBox <gi...@apache.org> on 2019/11/17 22:28:29 UTC

[GitHub] [airflow] potiuk commented on a change in pull request #6596: [AIRFLOW-6004] Untangle Executors class to avoid cyclic imports

potiuk commented on a change in pull request #6596: [AIRFLOW-6004] Untangle Executors class to avoid cyclic imports
URL: https://github.com/apache/airflow/pull/6596#discussion_r347163897
 
 

 ##########
 File path: airflow/executors/__init__.py
 ##########
 @@ -57,32 +61,21 @@ def get_default_executor():
     return DEFAULT_EXECUTOR
 
 
-class Executors:
-    LocalExecutor = "LocalExecutor"
-    SequentialExecutor = "SequentialExecutor"
-    CeleryExecutor = "CeleryExecutor"
-    DaskExecutor = "DaskExecutor"
-    KubernetesExecutor = "KubernetesExecutor"
-
-
 def _get_executor(executor_name):
     """
     Creates a new instance of the named executor.
     In case the executor name is not know in airflow,
     look for it in the plugins
     """
-    if executor_name == Executors.LocalExecutor:
+    if executor_name == AvailableExecutors.LOCAL_EXECUTOR:
         return LocalExecutor()
-    elif executor_name == Executors.SequentialExecutor:
+    elif executor_name == AvailableExecutors.SEQUENTIAL_EXECUTOR:
         return SequentialExecutor()
-    elif executor_name == Executors.CeleryExecutor:
-        from airflow.executors.celery_executor import CeleryExecutor
+    elif executor_name == AvailableExecutors.CELERY_EXECUTOR:
 
 Review comment:
   Yes. It caused mutiple other problems. But it was wrong originally that only some of the executors were locally imported (and that was part of the problems with cyclic imports). Now all of them are locally imported. I don't think it has an impact on performance. The classes are too small to make a difference. I think optimising for performance here would be a premature optimisation. However cyclic imports should be avoided and I hope I can make all the tests succeed now.

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