Microsoft Azure Data Lake Analytics Management Client Library for Python
Project description
Microsoft Azure SDK for Python
This is the Microsoft Azure Data Lake Analytics Management Client Library.
Azure Data Lake Analytics 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, 3.3, 3.4 and 3.5.
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.
Compatibility
IMPORTANT: If you have an earlier version of the azure package (version < 1.0), you should uninstall it before installing this package.
You can check the version using pip:
pip freezeIf you see azure==0.11.0 (or any version below 1.0), uninstall it first:
pip uninstall azureUsage
For code examples, see Data Lake Analytics Management on readthedocs.org.
Provide Feedback
If you encounter any bugs or have suggestions, please file an issue in the Issues section of the project.
Release History
0.1.2 (2017-01-09)
New features
Added the ability to create and update accounts with usage commitment levels for Data Lake Store and Data Lake Analytics
Bugfixes
Fixed a bug where three job diagnostic severity types were missing: SevereWarning, UserWarning and Deprecated
Fixed a bug where UpdateSecret, which is deprecated, was incorrectly indicating that it had a return type. It now properly does not have a return value.
0.1.1 (2016-12-12)
New features
Add cascade query parameter to DeleteCredential, which allows the user to indicate if they want to delete all resources dependent on the credential as well as the credential
Parameters are now optional when adding ADLS accounts to an ADLA account
Fixed a bug in ADLA where the caller could not create an ADLA account with WASB storage accounts.
Remove invalid return type from Secret creation in ADLA
Breaking change
“account_name” parameter is now “name” in account operation
0.1.0 (2016-11-14)
Initial Release
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