# 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 .copy_source_py3 import CopySource
[docs]class TeradataSource(CopySource):
"""A copy activity Teradata source.
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 source_retry_count: Source retry count. Type: integer (or
Expression with resultType integer).
:type source_retry_count: object
:param source_retry_wait: Source retry wait. Type: string (or Expression
with resultType string), pattern:
((\\d+)\\.)?(\\d\\d):(60|([0-5][0-9])):(60|([0-5][0-9])).
:type source_retry_wait: object
:param max_concurrent_connections: The maximum concurrent connection count
for the source data store. Type: integer (or Expression with resultType
integer).
:type max_concurrent_connections: object
:param type: Required. Constant filled by server.
:type type: str
:param query: Teradata query. Type: string (or Expression with resultType
string).
:type query: object
:param partition_option: The partition mechanism that will be used for
teradata read in parallel. Possible values include: 'None', 'Hash',
'DynamicRange'
:type partition_option: str or
~azure.mgmt.datafactory.models.TeradataPartitionOption
:param partition_settings: The settings that will be leveraged for
teradata source partitioning.
:type partition_settings:
~azure.mgmt.datafactory.models.TeradataPartitionSettings
"""
_validation = {
'type': {'required': True},
}
_attribute_map = {
'additional_properties': {'key': '', 'type': '{object}'},
'source_retry_count': {'key': 'sourceRetryCount', 'type': 'object'},
'source_retry_wait': {'key': 'sourceRetryWait', 'type': 'object'},
'max_concurrent_connections': {'key': 'maxConcurrentConnections', 'type': 'object'},
'type': {'key': 'type', 'type': 'str'},
'query': {'key': 'query', 'type': 'object'},
'partition_option': {'key': 'partitionOption', 'type': 'str'},
'partition_settings': {'key': 'partitionSettings', 'type': 'TeradataPartitionSettings'},
}
def __init__(self, *, additional_properties=None, source_retry_count=None, source_retry_wait=None, max_concurrent_connections=None, query=None, partition_option=None, partition_settings=None, **kwargs) -> None:
super(TeradataSource, self).__init__(additional_properties=additional_properties, source_retry_count=source_retry_count, source_retry_wait=source_retry_wait, max_concurrent_connections=max_concurrent_connections, **kwargs)
self.query = query
self.partition_option = partition_option
self.partition_settings = partition_settings
self.type = 'TeradataSource'