Releases: Azure/azure-data-lake-store-python
Releases · Azure/azure-data-lake-store-python
Version 0.0.2
Disclaimer
This is a pre-release or preview version of the azure-datalake-store package and should be treated as such. As a result, there will be fairly rapid development and bug fixing, which might result in breaking changes from release to release.
What's new in this release
- Better support for two factor authentication through
lib.auth() - Fixes to upload and download stability.
- Overwrite will now properly overwrite files and folders on upload and download
- Support for upload and download of empty files
- General documentation fixes and cleanup to accurately reflect the client features. This is an ongoing effort and we will continue to improve the documentation as we move towards a stable release.
- Introduction of a samples directory, which includes the following:
- A sample CLI implementation that shows some common ways to use the SDK
- A sample benchmarking script which showcases how to use the ADLUploader and ADLDownloader classes, as well as giving the user the opportunity to measure upload and download performance in a consistent way.
Full pip release location
https://pypi.python.org/pypi/azure-datalake-store/0.0.2
Version 0.0.1
Disclaimer
This is a pre-release or preview version of the azure-datalake-store package and should be treated as such. As a result, there will be fairly rapid development and bug fixing, which might result in breaking changes from release to release.
What's new in this release
- First release of the package (so it's all new!)
- Ability to interact with the Azure Data Lake Store filesystem in python:
- File and folder management (create, append, concatenate, get, list, move and delete)
- Permissions management (add, remove, get and set permissions on files and folders)
- High performance file and folder upload and download
- Proof of concept CLI implementation on top of the SDK:
- How to authenticate
- How to setup logging
- How to exercise the various components of the SDK
- Robust test scripts for benchmarking ingress and egress (bring your own data to test with).
Full pip release location
https://pypi.python.org/pypi/azure-datalake-store/0.0.1