azure-mgmt-datalake-analytics

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.

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

For code examples, see Data Lake Analytics Management on readthedocs.org.

If you encounter any bugs or have suggestions, please file an issue in the Issues section of the project.

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

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.

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

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for azure-mgmt-datalake-analytics 0.1.3
File	Size	Uploaded
azure-mgmt-datalake-analytics-0.1.3.zip	117.9 kB	Feb 13, 2017	Details

Table of built distributions (wheels) for azure-mgmt-datalake-analytics 0.1.3
File	Interpreter	ABI	Platform	Reset
azure_mgmt_datalake_analytics-0.1.3-py2.py3-none-any.whl 111.7 kB Feb 13, 2017	Python 2, Python 3	none	any	Details

Total release size: 229.6 kB

Download URL	azure-mgmt-datalake-analytics-0.1.3.zip
Size	117.9 kB
Tags	Source
SHA-256 checksum How to use checksums	`ec02174639a1a93e0381319628ca8e092fe54e735c9ba426b0f88c416691e160`
BLAKE2b-256 checksum How to use checksums	`ea74f8ec3676e0255a89feb8b8de620b9cb12db8324408bfd623a04c6669f4a2`
Upload date	Feb 13, 2017
Uploaded using Trusted Publishing? What is trusted publishing?	No

Download URL	azure_mgmt_datalake_analytics-0.1.3-py2.py3-none-any.whl
Size	111.7 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`a958db618abed06c4ec70b9625a557c6f93d067d039341fb9437beedb60e6406`
BLAKE2b-256 checksum How to use checksums	`a7a1054158bffa9034a15a4cdf741d016a49e5fae0ed110560737761b25ef1fd`
Upload date	Feb 13, 2017
Uploaded using Trusted Publishing? What is trusted publishing?	No