Microsoft Azure Storage Sync Client Library for Python
Microsoft Azure SDK for Python
This is the Microsoft Azure Storage Sync Client Library.
Azure Resource Manager (ARM) is the next generation of management APIs that replace the old Azure Service Management (ASM).
This package has been tested with Python 2.7, 3.5, 3.6, 3.7 and 3.8.
For the older Azure Service Management (ASM) libraries, see azure-servicemanagement-legacy library.
For a more complete set of Azure libraries, see the azure bundle package.
For code examples, see Storage Sync on docs.microsoft.com.
If you encounter any bugs or have suggestions, please file an issue in the Issues section of the project.
- Model ServerEndpoint has a new parameter recall_status
- Model ServerEndpoint has a new parameter cloud_tiering_status
- Model CloudEndpointCreateParameters has a new parameter friendly_name
- Added operation CloudEndpointsOperations.trigger_change_detection
- Added operation group OperationStatusOperations
General Breaking Changes
This version uses a next-generation code generator that might introduce breaking changes if from some import. In summary, some modules were incorrectly visible/importable and have been renamed. This fixed several issues caused by usage of classes that were not supposed to be used in the first place. StorageSyncManagementClient cannot be imported from azure.mgmt.storagesync.storage_sync_management_client anymore (import from azure.mgmt.storagesync works like before) StorageSyncManagementClientConfiguration import has been moved from azure.mgmt.storagesync.storage_sync_management_client to azure.mgmt.storagesync A model MyClass from a “models” sub-module cannot be imported anymore using azure.mgmt.storagesync.models.my_class (import from azure.mgmt.storagesync.models works like before) An operation class MyClassOperations from an operations sub-module cannot be imported anymore using azure.mgmt.storagesync.operations.my_class_operations (import from azure.mgmt.storagesync.operations works like before) Last but not least, HTTP connection pooling is now enabled by default. You should always use a client as a context manager, or call close(), or use no more than one client per process.
- Initial Release
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