SilvrDuck opened a new issue #10037: URL: https://github.com/apache/airflow/issues/10037
**Apache Airflow version**: 1.10.10 **Kubernetes version (if you are using kubernetes)** (use `kubectl version`): v1.16.11-gke.5 **Environment**: - **Cloud provider or hardware configuration**: GKE - **OS** (e.g. from /etc/os-release): – - **Kernel** (e.g. `uname -a`): – - **Install tools**: helm - **Others**: – **What happened**: I tried to create a job in my DAG using the [KubernetesPodOperator](https://airflow.apache.org/docs/stable/_api/airflow/contrib/operators/kubernetes_pod_operator/index.html), and configuring it with a `.yaml` file (with the `pod_template_file` argument). When specifying the `namespace` argument for the `KubernetesPodOperator`, I got the following error : ``` [2020-07-28 13:27:02,689] {taskinstance.py:1150} ERROR - Pod Launching failed: Cannot configure pod and pass either `pod` or `pod_template_file`. Fields ['namespace'] passed. Traceback (most recent call last): File "/home/airflow/.local/lib/python3.8/site-packages/airflow/contrib/operators/kubernetes_pod_operator.py", line 291, in execute final_state, _, result = self.create_new_pod_for_operator(labels, launcher) File "/home/airflow/.local/lib/python3.8/site-packages/airflow/contrib/operators/kubernetes_pod_operator.py", line 338, in create_new_pod_for_operator pod = pod_generator.PodGenerator( File "/home/airflow/.local/lib/python3.8/site-packages/airflow/kubernetes/pod_generator.py", line 205, in __init__ self.validate_pod_generator_args(locals()) File "/home/airflow/.local/lib/python3.8/site-packages/airflow/kubernetes/pod_generator.py", line 553, in validate_pod_generator_args raise AirflowConfigException( airflow.exceptions.AirflowConfigException: Cannot configure pod and pass either `pod` or `pod_template_file`. Fields ['namespace'] passed. ``` When not specifying the argument on the other hand, I got the following error: ``` [2020-07-28 13:13:24,938] {taskinstance.py:1150} ERROR - Missing the required parameter `namespace` when calling `list_namespaced_pod` Traceback (most recent call last): File "/home/airflow/.local/lib/python3.8/site-packages/airflow/models/taskinstance.py", line 984, in _run_raw_task result = task_copy.execute(context=context) File "/home/airflow/.local/lib/python3.8/site-packages/airflow/contrib/operators/kubernetes_pod_operator.py", line 271, in execute pod_list = client.list_namespaced_pod(self.namespace, label_selector=label_selector) File "/home/airflow/.local/lib/python3.8/site-packages/kubernetes/client/api/core_v1_api.py", line 12803, in list_namespaced_pod (data) = self.list_namespaced_pod_with_http_info(namespace, **kwargs) # noqa: E501 File "/home/airflow/.local/lib/python3.8/site-packages/kubernetes/client/api/core_v1_api.py", line 12850, in list_namespaced_pod_with_http_info raise ValueError("Missing the required parameter `namespace` when calling `list_namespaced_pod`") # noqa: E501 ValueError: Missing the required parameter `namespace` when calling `list_namespaced_pod` ``` (note that this error comes from the k8s python api, not from airflow) Hence a contradiction between the two messages. **What you expected to happen**: I’d expect to see the job being executed on the cluster. The namespace would be specified in the `.yaml` file (or as a `KubernetesPodOperator` argument, both would be fine if working). **How to reproduce it**: I tried to create a minimal example to show what I’m talking about. I have `minimal.py`: ``` from datetime import datetime, timedelta from airflow.models import DAG from airflow.contrib.operators.kubernetes_pod_operator import KubernetesPodOperator default_args = { "owner": "test", "start_date": datetime(2019, 10, 17), "retries": 1, "retry_delay": timedelta(minutes=5), } with DAG("bug-report", schedule_interval=None, default_args=default_args) as dag: KubernetesPodOperator( task_id="bug-report-task", is_delete_operator_pod=False, in_cluster=True, get_logs=True, namespace="test", # this is the part causing troubles pod_template_file="path/to/dags/minimal.yaml", ) ``` And `minimal.yaml` which is some random example job from [k8s' doc](https://kubernetes.io/docs/concepts/workloads/controllers/job/): ``` apiVersion: batch/v1 kind: Job metadata: namespace: test name: bug-report spec: template: spec: containers: - name: pi image: perl command: ["perl", "-Mbignum=bpi", "-wle", "print bpi(2000)"] restartPolicy: Never backoffLimit: 4 ``` Triggering the `DAG`, I get the aforementioned errors. **Is that an actual bug or is there something I’m missing?** Best, Thibault ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
