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Posted to commits@airflow.apache.org by GitBox <gi...@apache.org> on 2021/11/27 22:13:36 UTC

[GitHub] [airflow] XD-DENG commented on a change in pull request #19729: Local kubernetes executor

XD-DENG commented on a change in pull request #19729:
URL: https://github.com/apache/airflow/pull/19729#discussion_r757818690



##########
File path: airflow/example_dags/example_local_kubernetes_executor.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 Kubernetes Executor Configuration.
+"""
+import logging
+from datetime import datetime
+
+from airflow import DAG
+from airflow.configuration import conf
+from airflow.example_dags.libs.helper import print_stuff
+from airflow.operators.python_operator import PythonOperator
+
+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_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_with_template = PythonOperator(
+        task_id="task_with_kubernetes_executor",
+        python_callable=print_stuff,
+        pool='kubernetes',

Review comment:
       May you please clarify why we need to specify `pool` here? If it's not necessary, we can remove it?

##########
File path: airflow/example_dags/example_local_kubernetes_executor.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 Kubernetes Executor Configuration.

Review comment:
       I guess it's a copy-paste error here: `Kubernetes Executor Configuration` -> `LocalKubernetesExecutor ...`

##########
File path: airflow/config_templates/config.yml
##########
@@ -1446,6 +1446,21 @@
       type: string
       example: ~
       default: ~
+- name: local_kubernetes_executor
+  description: |
+    This section only applies if you are using the ``LocalKubernetesExecutor`` in
+    ``[core]`` section above
+  options:
+    - name: kubernetes_queue
+      description: |
+        Define when to send a task to ``KubernetesExecutor`` when using ``LocalKubernetesExecutor``.
+        When the queue of a task is the value of ``kubernetes_queue`` (default ``kubernetes``),
+        the task is executed via ``KubernetesExecutor``,
+        otherwise via ``LocalExecutor``
+      version_added: 2.2.0

Review comment:
       I saw that @kaxil has added milestone `2.3.0` for this, so let's update this line here as well?




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