[GitHub] [airflow] roitvt commented on a change in pull request #7163: [AIRFLOW-6542] add spark-on-k8s operator/hook/sensor

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roitvt commented on a change in pull request #7163: [AIRFLOW-6542] add spark-on-k8s operator/hook/sensor
URL: https://github.com/apache/airflow/pull/7163#discussion_r381233175
 
 

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 File path: airflow/providers/cncf/kubernetes/operators/spark_kubernetes_operator.py
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+#
+# 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.
+from typing import Optional
+
+import yaml
+from kubernetes import client
+
+from airflow.exceptions import AirflowException
+from airflow.models import BaseOperator
+from airflow.providers.cncf.kubernetes.hooks.kubernetes_hook import Kuberneteshook
+from airflow.utils.decorators import apply_defaults
+
+
+class SparkKubernetesOperator(BaseOperator):
+    """
+    Creates sparkApplication object in kubernetes cluster:
+       .. seealso::
+        For more detail about Spark Application Object have a look at the reference:
+        https://github.com/GoogleCloudPlatform/spark-on-k8s-operator/blob/master/docs/api-docs.md#sparkapplication
+
+    :param sparkapplication_file: filepath to kubernetes custom_resource_definition of sparkApplication
+    :type sparkapplication_file:  str
+    :param namespace: kubernetes namespace to put sparkApplication
+    :type namespace: str
+    :param conn_id: the connection to Kubernetes cluster
+    :type conn_id: str
+    """
+
+    template_fields = ['sparkapplication_file', 'namespace']
+    template_ext = ('yaml', 'yml', 'json')
+    ui_color = '#f4a460'
+
+    @apply_defaults
+    def __init__(self,
+                 sparkapplication_file: str,
 
 Review comment:
   Can you be more specific?

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