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From "Lihan Li (Jira)" <j...@apache.org>
Subject [jira] [Commented] (AIRFLOW-3819) k8s executor - Allow the configuration of a global default for pod resource request/limits
Date Tue, 31 Dec 2019 02:38:00 GMT

    [ https://issues.apache.org/jira/browse/AIRFLOW-3819?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17005898#comment-17005898
] 

Lihan Li commented on AIRFLOW-3819:
-----------------------------------

I think this better resolved within Airflow, it is a very small addition; Also, Mesos has
task_cpu within Airflow.

> k8s executor - Allow the configuration of a global default for pod resource request/limits

> -------------------------------------------------------------------------------------------
>
>                 Key: AIRFLOW-3819
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-3819
>             Project: Apache Airflow
>          Issue Type: Improvement
>          Components: executors
>    Affects Versions: 1.10.2
>            Reporter: afusr
>            Priority: Minor
>              Labels: kubernetes
>
> Currently the kubernetes executor allows you to specify pod resources requests and limits
(cpu and memory). For example:
> {noformat}
> # Limit resources on this operator/task with node affinity & tolerations
> three_task = PythonOperator(
>     task_id="three_task", python_callable=print_stuff, dag=dag,
>     executor_config={
>         "KubernetesExecutor": {"request_memory": "128Mi",
>                                "limit_memory": "128Mi",
>                                "tolerations": tolerations,
>                                "affinity": affinity}}
> )
> {noformat}
> These values are used by kubernetes when making scaling decisions. It would be nice to
be able to specify a global default for these values, to ensure that each pod airflow creates
has a value specified for these properties. 
> There is still the requirement to override these values on a dag by dag basis. 



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