mik-laj 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_r347158027
##########
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:
It is very important that the modules are imported here. Otherwise, all
possible executors will load on every person, which causes a drastic increase
in the time it takes to run the application. This means that everyone must
also have all executors installed.
In this PR: https://github.com/apache/airflow/pull/6594 In this PR, I have
reduced the number of modules loaded and you can see how it affected
performance.
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