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 freeze
If you see azure==0.11.0 (or any version below 1.0), uninstall it first:
pip uninstall azure
Usage
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
0.1.6 (2017-06-19)
Fixing a regression discovered in 0.1.5. Please update to 0.1.6 to avoid any issues caused by that regression.
0.1.5 (2017-06-07)
New features
Support for Compute Policies on accounts. These will limit specific user and groups to certain job parallelism and priority.
Support for job relationship properties. These can be populated in the related property when submitting a job and can be retrieved with the pipeline and recurrence operation methods.
Suport for a basic option when listing catalog tables. When set to true, will only return the table name, schema name, database name and version for each table in the list, instead of all table metadata, improving performance when all information is not required.
0.1.4 (2017-04-20)
New features
Catalog item get and list support for Packages
Update to allow listing certain catalog items from within a database (no schema required to list):
list_tables_by_database
list_table_valued_functions_by_database
list_views_by_database
list_table_statistics_by_database
list_table_statistics_by_database_and_schema
Notes
This wheel package is now built with the azure wheel extension
0.1.3 (2017-02-13)
New features
Add support for firewall rules
Add, Update, Get, List and Delete operations
Enable/Disable the firewall
Allow/Block Azure IPs
Remove minimum value requirement from DegreeOfParallelism. If a value <= 0 is passed in, it will be defaulted automatically to 1.
Remove unused ErrorDetails object
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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