Apache Airflow dags w/ backend configuration bundle.
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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
from airflow.models import BaseOperator
from airflow.providers.cncf.kubernetes.hooks.kubernetes 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/v1beta2-1.1.0-2.4.5/docs/api-docs.md#sparkapplication
:param application_file: filepath to kubernetes custom_resource_definition of sparkApplication
:type application_file: str
:param namespace: kubernetes namespace to put sparkApplication
:type namespace: str
:param kubernetes_conn_id: the connection to Kubernetes cluster
:type kubernetes_conn_id: str
:param api_group: kubernetes api group of sparkApplication
:type api_group: str
:param api_version: kubernetes api version of sparkApplication
:type api_version: str
"""
template_fields = ["application_file", "namespace"]
template_ext = ("yaml", "yml", "json")
ui_color = "#f4a460"
@apply_defaults
def __init__(
self,
*,
application_file: str,
namespace: Optional[str] = None,
kubernetes_conn_id: str = "kubernetes_default",
api_group: str = "sparkoperator.k8s.io",
api_version: str = "v1beta2",
**kwargs,
) -> None:
super().__init__(**kwargs)
self.application_file = application_file
self.namespace = namespace
self.kubernetes_conn_id = kubernetes_conn_id
self.api_group = api_group
self.api_version = api_version
def execute(self, context):
self.log.info("Creating sparkApplication")
hook = KubernetesHook(conn_id=self.kubernetes_conn_id)
response = hook.create_custom_object(
group=self.api_group,
version=self.api_version,
plural="sparkapplications",
body=self.application_file,
namespace=self.namespace,
)
return response