Another k8s DAG example

kubernetes_airflow_dag_2.py

@@ -0,0 +1,71 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+"""
+This is an example dag for using a Local Kubernetes Executor Configuration.
+"""
+from __future__ import annotations
+
+import logging
+from datetime import datetime
+
+from airflow.configuration import conf
+from airflow.decorators import task
+from airflow.example_dags.libs.helper import print_stuff
+from airflow.models.dag import DAG
+
+[docs]log = logging.getLogger(__name__)
+
+[docs]worker_container_repository = conf.get("kubernetes_executor", "worker_container_repository")
+[docs]worker_container_tag = conf.get("kubernetes_executor", "worker_container_tag")
+
+try:
+    from kubernetes.client import models as k8s
+except ImportError:
+    log.warning("Could not import DAGs in example_local_kubernetes_executor.py", exc_info=True)
+    log.warning("Install Kubernetes dependencies with: pip install apache-airflow[cncf.kubernetes]")
+[docs]    k8s = None
+
+if k8s:
+    with DAG(
+        dag_id="example_local_kubernetes_executor",
+        schedule=None,
+        start_date=datetime(2021, 1, 1),
+        catchup=False,
+        tags=["example3"],
+    ) as dag:
+        # You can use annotations on your kubernetes pods!
+[docs]        start_task_executor_config = {
+            "pod_override": k8s.V1Pod(metadata=k8s.V1ObjectMeta(annotations={"test": "annotation"}))
+        }
+
+        @task(
+            executor_config=start_task_executor_config,
+            queue="kubernetes",
+            task_id="task_with_kubernetes_executor",
+        )
+        def task_with_template():
+            print_stuff()
+
+        @task(task_id="task_with_local_executor")
+        def task_with_local(ds=None, **kwargs):
+            """Print the Airflow context and ds variable from the context."""
+            print(kwargs)
+            print(ds)
+            return "Whatever you return gets printed in the logs"
+
+        task_with_local() >> task_with_template()