[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_r366513445
 
 

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 File path: airflow/contrib/operators/spark_kubernetes_operator.py
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+# -*- coding: utf-8 -*-
+#
+# 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
+
+from kubernetes import client
+
+from airflow.contrib.hooks.kubernetes_hook import Kuberneteshook
+from airflow.exceptions import AirflowException
+from airflow.models import BaseOperator
+from airflow.utils.decorators import apply_defaults
+
+
+class SparkKubernetesOperator(BaseOperator):
+    """
+    creates sparkapplication object in kubernetes cluster
+
+    :param sparkapplication_object: kubernetes custom_resource_definition of sparkApplication
+    :param namespace: kubernetes namespace to put sparkApplication
+    :param kube_config: kubernetes kube_config path
+    :param in_cluster: if airflow runs inside kubernetes pod take configuration from inside the cluster.
+    """
+
+    template_fields = ['sparkapplication_object', 'namespace', 'kube_config']
+    template_ext = ()
+    ui_color = '#f4a460'
+
+    @apply_defaults
+    def __init__(self,
+                 sparkapplication_object: dict,
+                 namespace: str = 'default',
+                 kube_config: Optional[str] = None,
+                 in_cluster: bool = False,
+                 *args, **kwargs) -> None:
+        super().__init__(*args, **kwargs)
+        self.sparkapplication_object = sparkapplication_object
+        self.namespace = namespace
+        self.kube_config = kube_config
+        self.in_cluster = in_cluster
+        if kwargs.get('xcom_push') is not None:
+            raise AirflowException("'xcom_push' was deprecated, use 'BaseOperator.do_xcom_push' instead")
+
+    def execute(self, context):
+        self.log.info("creating sparkApplication")
+        hook = Kuberneteshook(
+            kube_config=self.kube_config,
+            in_cluster=self.in_cluster
+        )
+        api_client = hook.get_conn()
+        api = client.CustomObjectsApi(api_client)
 
 Review comment:
   the hook is creating the connection, the operator asks for the customObjectsApi if I need to do it in the hook I need to write code for each Kubernetes API object. I tried to make the Kubernetes hook general for various uses not just custom object api

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