Source code for azure.mgmt.datafactory.models.databricks_spark_jar_activity_py3

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from .execution_activity_py3 import ExecutionActivity


[docs]class DatabricksSparkJarActivity(ExecutionActivity): """DatabricksSparkJar activity. All required parameters must be populated in order to send to Azure. :param additional_properties: Unmatched properties from the message are deserialized this collection :type additional_properties: dict[str, object] :param name: Required. Activity name. :type name: str :param description: Activity description. :type description: str :param depends_on: Activity depends on condition. :type depends_on: list[~azure.mgmt.datafactory.models.ActivityDependency] :param user_properties: Activity user properties. :type user_properties: list[~azure.mgmt.datafactory.models.UserProperty] :param type: Required. Constant filled by server. :type type: str :param linked_service_name: Linked service reference. :type linked_service_name: ~azure.mgmt.datafactory.models.LinkedServiceReference :param policy: Activity policy. :type policy: ~azure.mgmt.datafactory.models.ActivityPolicy :param main_class_name: Required. The full name of the class containing the main method to be executed. This class must be contained in a JAR provided as a library. Type: string (or Expression with resultType string). :type main_class_name: object :param parameters: Parameters that will be passed to the main method. :type parameters: list[object] :param libraries: A list of libraries to be installed on the cluster that will execute the job. :type libraries: list[dict[str, object]] """ _validation = { 'name': {'required': True}, 'type': {'required': True}, 'main_class_name': {'required': True}, } _attribute_map = { 'additional_properties': {'key': '', 'type': '{object}'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'}, 'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'}, 'type': {'key': 'type', 'type': 'str'}, 'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'}, 'policy': {'key': 'policy', 'type': 'ActivityPolicy'}, 'main_class_name': {'key': 'typeProperties.mainClassName', 'type': 'object'}, 'parameters': {'key': 'typeProperties.parameters', 'type': '[object]'}, 'libraries': {'key': 'typeProperties.libraries', 'type': '[{object}]'}, } def __init__(self, *, name: str, main_class_name, additional_properties=None, description: str=None, depends_on=None, user_properties=None, linked_service_name=None, policy=None, parameters=None, libraries=None, **kwargs) -> None: super(DatabricksSparkJarActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs) self.main_class_name = main_class_name self.parameters = parameters self.libraries = libraries self.type = 'DatabricksSparkJar'