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azure-mgmt-datalake-analytics 0.1.4

Microsoft Azure Data Lake Analytics Management Client Library for Python

Latest Version: 0.2.0

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

0.1.4 (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
 
File Type Py Version Uploaded on Size
azure-mgmt-datalake-analytics-0.1.4.zip (md5) Source 2017-04-20 125KB
azure_mgmt_datalake_analytics-0.1.4-py2.py3-none-any.whl (md5) Python Wheel py2.py3 2017-04-20 111KB