# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from .dataset_py3 import Dataset
[docs]class AzureDataExplorerTableDataset(Dataset):
"""The Azure Data Explorer (Kusto) dataset.
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 description: Dataset description.
:type description: str
:param structure: Columns that define the structure of the dataset. Type:
array (or Expression with resultType array), itemType: DatasetDataElement.
:type structure: object
:param schema: Columns that define the physical type schema of the
dataset. Type: array (or Expression with resultType array), itemType:
DatasetSchemaDataElement.
:type schema: object
:param linked_service_name: Required. Linked service reference.
:type linked_service_name:
~azure.mgmt.datafactory.models.LinkedServiceReference
:param parameters: Parameters for dataset.
:type parameters: dict[str,
~azure.mgmt.datafactory.models.ParameterSpecification]
:param annotations: List of tags that can be used for describing the
Dataset.
:type annotations: list[object]
:param folder: The folder that this Dataset is in. If not specified,
Dataset will appear at the root level.
:type folder: ~azure.mgmt.datafactory.models.DatasetFolder
:param type: Required. Constant filled by server.
:type type: str
:param table: The table name of the Azure Data Explorer database. Type:
string (or Expression with resultType string).
:type table: object
"""
_validation = {
'linked_service_name': {'required': True},
'type': {'required': True},
}
_attribute_map = {
'additional_properties': {'key': '', 'type': '{object}'},
'description': {'key': 'description', 'type': 'str'},
'structure': {'key': 'structure', 'type': 'object'},
'schema': {'key': 'schema', 'type': 'object'},
'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'},
'parameters': {'key': 'parameters', 'type': '{ParameterSpecification}'},
'annotations': {'key': 'annotations', 'type': '[object]'},
'folder': {'key': 'folder', 'type': 'DatasetFolder'},
'type': {'key': 'type', 'type': 'str'},
'table': {'key': 'typeProperties.table', 'type': 'object'},
}
def __init__(self, *, linked_service_name, additional_properties=None, description: str=None, structure=None, schema=None, parameters=None, annotations=None, folder=None, table=None, **kwargs) -> None:
super(AzureDataExplorerTableDataset, self).__init__(additional_properties=additional_properties, description=description, structure=structure, schema=schema, linked_service_name=linked_service_name, parameters=parameters, annotations=annotations, folder=folder, **kwargs)
self.table = table
self.type = 'AzureDataExplorerTable'