subkanthi commented on a change in pull request #19729:
URL: https://github.com/apache/airflow/pull/19729#discussion_r759718753



##########
File path: airflow/example_dags/example_local_kubernetes_executor.py
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@@ -0,0 +1,70 @@
+#
+# 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.
+"""
+import logging
+from datetime import datetime
+
+from airflow import DAG
+from airflow.configuration import conf
+from airflow.decorators import task
+from airflow.example_dags.libs.helper import print_stuff
+
+log = logging.getLogger(__name__)
+
+worker_container_repository = conf.get('kubernetes', 
'worker_container_repository')
+worker_container_tag = conf.get('kubernetes', '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]")
+
+with DAG(
+    dag_id='example_local_kubernetes_executor',
+    schedule_interval=None,
+    start_date=datetime(2021, 1, 1),
+    catchup=False,
+    tags=['example3'],
+) as dag:
+    # You can use annotations on your kubernetes pods!
+    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()
+
+    def print_context(ds, **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(task_id='task_with_local_executor')
+    def task_with_local():
+        print_context()
+
+    task_with_local >> task_with_template

Review comment:
       THanks, made the changes.




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