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[AutoPR azure-mgmt-datafactory] [DataFactory] Rollback source/sink level staging #1758

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[AutoPR azure-mgmt-datafactory] [DataFactory] Rollback source/sink level staging #1758

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2 changes: 1 addition & 1 deletion sdk/datafactory/azure-mgmt-datafactory/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@

This is the Microsoft Azure Data Factory Management Client Library.
This package has been tested with Python 2.7, 3.5, 3.6, 3.7 and 3.8.
For a more complete view of Azure libraries, see the [Github repo](https://github.com/Azure/azure-sdk-for-python/)
For a more complete view of Azure libraries, see the [azure sdk python release](https://aka.ms/azsdk/python/all).


# Usage
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8 changes: 0 additions & 8 deletions sdk/datafactory/azure-mgmt-datafactory/azure/mgmt/datafactory/models/_models.py
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Expand Up @@ -10024,8 +10024,6 @@ class DataFlowSink(Transformation):
:param schema_linked_service: Schema linked service reference.
:type schema_linked_service:
~azure.mgmt.datafactory.models.LinkedServiceReference
:param staging: Staging info for execute data flow activity.
:type staging: ~azure.mgmt.datafactory.models.DataFlowStagingInfo
"""

_validation = {
Expand All @@ -10038,15 +10036,13 @@ class DataFlowSink(Transformation):
'dataset': {'key': 'dataset', 'type': 'DatasetReference'},
'linked_service': {'key': 'linkedService', 'type': 'LinkedServiceReference'},
'schema_linked_service': {'key': 'schemaLinkedService', 'type': 'LinkedServiceReference'},
'staging': {'key': 'staging', 'type': 'DataFlowStagingInfo'},
}

def __init__(self, **kwargs):
super(DataFlowSink, self).__init__(**kwargs)
self.dataset = kwargs.get('dataset', None)
self.linked_service = kwargs.get('linked_service', None)
self.schema_linked_service = kwargs.get('schema_linked_service', None)
self.staging = kwargs.get('staging', None)


class DataFlowSource(Transformation):
Expand All @@ -10066,8 +10062,6 @@ class DataFlowSource(Transformation):
:param schema_linked_service: Schema linked service reference.
:type schema_linked_service:
~azure.mgmt.datafactory.models.LinkedServiceReference
:param staging: Staging info for execute data flow activity.
:type staging: ~azure.mgmt.datafactory.models.DataFlowStagingInfo
"""

_validation = {
Expand All @@ -10080,15 +10074,13 @@ class DataFlowSource(Transformation):
'dataset': {'key': 'dataset', 'type': 'DatasetReference'},
'linked_service': {'key': 'linkedService', 'type': 'LinkedServiceReference'},
'schema_linked_service': {'key': 'schemaLinkedService', 'type': 'LinkedServiceReference'},
'staging': {'key': 'staging', 'type': 'DataFlowStagingInfo'},
}

def __init__(self, **kwargs):
super(DataFlowSource, self).__init__(**kwargs)
self.dataset = kwargs.get('dataset', None)
self.linked_service = kwargs.get('linked_service', None)
self.schema_linked_service = kwargs.get('schema_linked_service', None)
self.staging = kwargs.get('staging', None)


class DataFlowSourceSetting(Model):
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12 changes: 2 additions & 10 deletions sdk/datafactory/azure-mgmt-datafactory/azure/mgmt/datafactory/models/_models_py3.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10024,8 +10024,6 @@ class DataFlowSink(Transformation):
:param schema_linked_service: Schema linked service reference.
:type schema_linked_service:
~azure.mgmt.datafactory.models.LinkedServiceReference
:param staging: Staging info for execute data flow activity.
:type staging: ~azure.mgmt.datafactory.models.DataFlowStagingInfo
"""

_validation = {
Expand All @@ -10038,15 +10036,13 @@ class DataFlowSink(Transformation):
'dataset': {'key': 'dataset', 'type': 'DatasetReference'},
'linked_service': {'key': 'linkedService', 'type': 'LinkedServiceReference'},
'schema_linked_service': {'key': 'schemaLinkedService', 'type': 'LinkedServiceReference'},
'staging': {'key': 'staging', 'type': 'DataFlowStagingInfo'},
}

def __init__(self, *, name: str, description: str=None, dataset=None, linked_service=None, schema_linked_service=None, staging=None, **kwargs) -> None:
def __init__(self, *, name: str, description: str=None, dataset=None, linked_service=None, schema_linked_service=None, **kwargs) -> None:
super(DataFlowSink, self).__init__(name=name, description=description, **kwargs)
self.dataset = dataset
self.linked_service = linked_service
self.schema_linked_service = schema_linked_service
self.staging = staging


class DataFlowSource(Transformation):
Expand All @@ -10066,8 +10062,6 @@ class DataFlowSource(Transformation):
:param schema_linked_service: Schema linked service reference.
:type schema_linked_service:
~azure.mgmt.datafactory.models.LinkedServiceReference
:param staging: Staging info for execute data flow activity.
:type staging: ~azure.mgmt.datafactory.models.DataFlowStagingInfo
"""

_validation = {
Expand All @@ -10080,15 +10074,13 @@ class DataFlowSource(Transformation):
'dataset': {'key': 'dataset', 'type': 'DatasetReference'},
'linked_service': {'key': 'linkedService', 'type': 'LinkedServiceReference'},
'schema_linked_service': {'key': 'schemaLinkedService', 'type': 'LinkedServiceReference'},
'staging': {'key': 'staging', 'type': 'DataFlowStagingInfo'},
}

def __init__(self, *, name: str, description: str=None, dataset=None, linked_service=None, schema_linked_service=None, staging=None, **kwargs) -> None:
def __init__(self, *, name: str, description: str=None, dataset=None, linked_service=None, schema_linked_service=None, **kwargs) -> None:
super(DataFlowSource, self).__init__(name=name, description=description, **kwargs)
self.dataset = dataset
self.linked_service = linked_service
self.schema_linked_service = schema_linked_service
self.staging = staging


class DataFlowSourceSetting(Model):
Expand Down