Source code for airflow.providers.cncf.kubernetes.operators.spark_kubernetes

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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


[docs]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
    """

[docs]    template_fields = ['application_file', 'namespace']
[docs]    template_ext = ('yaml', 'yml', 'json')
[docs]    ui_color = '#f4a460'

    @apply_defaults
    def __init__(
        self,
        *,
        application_file: str,
        namespace: Optional[str] = None,
        kubernetes_conn_id: str = 'kubernetes_default',
        **kwargs,
    ) -> None:
        super().__init__(**kwargs)
        self.application_file = application_file
        self.namespace = namespace
        self.kubernetes_conn_id = kubernetes_conn_id

[docs]    def execute(self, context):
        self.log.info("Creating sparkApplication")
        hook = KubernetesHook(conn_id=self.kubernetes_conn_id)
        response = hook.create_custom_object(
            group="sparkoperator.k8s.io",
            version="v1beta2",
            plural="sparkapplications",
            body=self.application_file,
            namespace=self.namespace,
        )
        return response