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Posted to commits@airflow.apache.org by "t oo (Jira)" <ji...@apache.org> on 2019/12/26 17:20:00 UTC

[jira] [Updated] (AIRFLOW-5406) Allow spark_submit_hook to run without pip install kubernetes/airflow[kubernetes]

     [ https://issues.apache.org/jira/browse/AIRFLOW-5406?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

t oo updated AIRFLOW-5406:
--------------------------
    Description: 
Allow spark_submit_hook to run without pip install kubernetes/airflow[kubernetes]

k8s dependencies causing issues for non-k8s users based on 1.10.6:
*settings.py:*
from airflow.contrib.kubernetes.pod import Pod
def pod_mutation_hook(pod):

*models/__init__.py*
from airflow.models.kubernetes import KubeWorkerIdentifier, KubeResourceVersion

*executors/__init__.py*
KubernetesExecutor = "KubernetesExecutor"
elif executor_name == Executors.KubernetesExecutor:
        from airflow.contrib.executors.kubernetes_executor import KubernetesExecutor
        return KubernetesExecutor()

*spark_submit_hook.py*
from airflow.contrib.kubernetes import kube_client



  was:Allow spark_submit_hook to run without pip install kubernetes/airflow[kubernetes]


> Allow spark_submit_hook to run without pip install kubernetes/airflow[kubernetes]
> ---------------------------------------------------------------------------------
>
>                 Key: AIRFLOW-5406
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-5406
>             Project: Apache Airflow
>          Issue Type: Improvement
>          Components: dependencies, executor-kubernetes, executors
>    Affects Versions: 1.10.5
>            Reporter: t oo
>            Assignee: Daniel Imberman
>            Priority: Minor
>
> Allow spark_submit_hook to run without pip install kubernetes/airflow[kubernetes]
> k8s dependencies causing issues for non-k8s users based on 1.10.6:
> *settings.py:*
> from airflow.contrib.kubernetes.pod import Pod
> def pod_mutation_hook(pod):
> *models/__init__.py*
> from airflow.models.kubernetes import KubeWorkerIdentifier, KubeResourceVersion
> *executors/__init__.py*
> KubernetesExecutor = "KubernetesExecutor"
> elif executor_name == Executors.KubernetesExecutor:
>         from airflow.contrib.executors.kubernetes_executor import KubernetesExecutor
>         return KubernetesExecutor()
> *spark_submit_hook.py*
> from airflow.contrib.kubernetes import kube_client



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