[jira] [Created] (AIRFLOW-3737) Kubernetes executor cannot handle long dag/task names

["afusr (JIRA)" <ji...@apache.org>]

afusr created AIRFLOW-3737:
------------------------------

             Summary: Kubernetes executor cannot handle long dag/task names
                 Key: AIRFLOW-3737
                 URL: https://issues.apache.org/jira/browse/AIRFLOW-3737
             Project: Apache Airflow
          Issue Type: Bug
          Components: scheduler
    Affects Versions: 1.10.2
            Reporter: afusr


When using the Kubernetes Executor, if the combined DAG and Task name is longer than 63 characters the scheduler is unable to create a pod and stops processing further dags. For example the logs show the following:


{noformat}
[2019-01-21 08:07:05,337] {rest.py:219} DEBUG - response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"unable to parse requirement: invalid label value: \"very_long_dag_name.very_long_task_name\": must be no more than 63 characters","reason":"BadRequest","code":400}
[2019-01-21 08:07:05,389] {dag_processing.py:579} WARNING - Ending without manager process.
[2019-01-21 08:07:05,390] {jobs.py:1510} INFO - Exited execute loop
{noformat}

The error appears to be returned by the k8s api. 

Perhaps related to the code here? 

https://github.com/apache/airflow/blob/a7e369f082025fb089d909a6978106bb7cd24798/airflow/contrib/executors/kubernetes_executor.py#L459

This was tested using 1.10.2RC2





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