Azure Data Lake Store Filesystem Client Library for Python
Microsoft Azure Data Lake Store Filesystem Library for Python
This project is the Python filesystem library for Azure Data Lake Store.
To install from source instead of pip (for local testing and development):
> pip install -r dev_requirements.txt > python setup.py develop
Usage: Sample Code
To play with the code, here is a starting point:
from azure.datalake.store import core, lib, multithread token = lib.auth(tenant_id, username, password) adl = core.AzureDLFileSystem(token, store_name=store_name) # typical operations adl.ls('') adl.ls('tmp/', detail=True) adl.ls('tmp/', detail=True, invalidate_cache=True) adl.cat('littlefile') adl.head('gdelt20150827.csv') # file-like object with adl.open('gdelt20150827.csv', blocksize=2**20) as f: print(f.readline()) print(f.readline()) print(f.readline()) # could have passed f to any function requiring a file object: # pandas.read_csv(f) with adl.open('anewfile', 'wb') as f: # data is written on flush/close, or when buffer is bigger than # blocksize f.write(b'important data') adl.du('anewfile') # recursively download the whole directory tree with 5 threads and # 16MB chunks multithread.ADLDownloader(adl, "", 'my_temp_dir', 5, 2**24)
Progress can be tracked using a callback function in the form track(current, total) When passed, this will keep track of transferred bytes and be called on each complete chunk.
Here’s an example using the Azure CLI progress controller as the progress_callback:
from cli.core.application import APPLICATION def _update_progress(current, total): hook = APPLICATION.get_progress_controller(det=True) hook.add(message='Alive', value=current, total_val=total) if total == current: hook.end() ... ADLUploader(client, destination_path, source_path, thread_count, overwrite=overwrite, chunksize=chunk_size, buffersize=buffer_size, blocksize=block_size, progress_callback=_update_progress)
This will output a progress bar to the stdout:
Alive[######################### ] 40.0881% Finished[#############################################################] 100.0000%
Usage: Command Line Sample
To interact with the API at a higher-level, you can use the provided command-line interface in “samples/cli.py”. You will need to set the appropriate environment variables as described above to connect to the Azure Data Lake Store. Below is a simple sample, with more details beyond.
python samples\cli.py ls -l
Execute the program without arguments to access documentation.
To start the CLI in interactive mode, run “python samples/cli.py” and then type “help” to see all available commands (similiar to Unix utilities):
> python samples/cli.py azure> help Documented commands (type help <topic>): ======================================== cat chmod close du get help ls mv quit rmdir touch chgrp chown df exists head info mkdir put rm tail azure>
While still in interactive mode, you can run “ls -l” to list the entries in the home directory (“help ls” will show the command’s usage details). If you’re not familiar with the Unix/Linux “ls” command, the columns represent 1) permissions, 2) file owner, 3) file group, 4) file size, 5-7) file’s modification time, and 8) file name.
> python samples/cli.py azure> ls -l drwxrwx--- 0123abcd 0123abcd 0 Aug 02 12:44 azure1 -rwxrwx--- 0123abcd 0123abcd 1048576 Jul 25 18:33 abc.csv -r-xr-xr-x 0123abcd 0123abcd 36 Jul 22 18:32 xyz.csv drwxrwx--- 0123abcd 0123abcd 0 Aug 03 13:46 tmp azure> ls -l --human-readable drwxrwx--- 0123abcd 0123abcd 0B Aug 02 12:44 azure1 -rwxrwx--- 0123abcd 0123abcd 1M Jul 25 18:33 abc.csv -r-xr-xr-x 0123abcd 0123abcd 36B Jul 22 18:32 xyz.csv drwxrwx--- 0123abcd 0123abcd 0B Aug 03 13:46 tmp azure>
To download a remote file, run “get remote-file [local-file]”. The second argument, “local-file”, is optional. If not provided, the local file will be named after the remote file minus the directory path.
> python samples/cli.py azure> ls -l drwxrwx--- 0123abcd 0123abcd 0 Aug 02 12:44 azure1 -rwxrwx--- 0123abcd 0123abcd 1048576 Jul 25 18:33 abc.csv -r-xr-xr-x 0123abcd 0123abcd 36 Jul 22 18:32 xyz.csv drwxrwx--- 0123abcd 0123abcd 0 Aug 03 13:46 tmp azure> get xyz.csv 2016-08-04 18:57:48,603 - ADLFS - DEBUG - Creating empty file xyz.csv 2016-08-04 18:57:48,604 - ADLFS - DEBUG - Fetch: xyz.csv, 0-36 2016-08-04 18:57:49,726 - ADLFS - DEBUG - Downloaded to xyz.csv, byte offset 0 2016-08-04 18:57:49,734 - ADLFS - DEBUG - File downloaded (xyz.csv -> xyz.csv) azure>
It is also possible to run in command-line mode, allowing any available command to be executed separately without remaining in the interpreter.
For example, listing the entries in the home directory:
> python samples/cli.py ls -l drwxrwx--- 0123abcd 0123abcd 0 Aug 02 12:44 azure1 -rwxrwx--- 0123abcd 0123abcd 1048576 Jul 25 18:33 abc.csv -r-xr-xr-x 0123abcd 0123abcd 36 Jul 22 18:32 xyz.csv drwxrwx--- 0123abcd 0123abcd 0 Aug 03 13:46 tmp >
Also, downloading a remote file:
> python samples/cli.py get xyz.csv 2016-08-04 18:57:48,603 - ADLFS - DEBUG - Creating empty file xyz.csv 2016-08-04 18:57:48,604 - ADLFS - DEBUG - Fetch: xyz.csv, 0-36 2016-08-04 18:57:49,726 - ADLFS - DEBUG - Downloaded to xyz.csv, byte offset 0 2016-08-04 18:57:49,734 - ADLFS - DEBUG - File downloaded (xyz.csv -> xyz.csv) >
For detailed documentation about our test framework, please visit the tests folder.
Contribute Code or Provide Feedback
If you would like to become an active contributor to this project please follow the instructions provided in Microsoft Azure Projects Contribution Guidelines. Furthermore, check out GUIDANCE.md for specific information related to this project.
If you encounter any bugs with the library please file an issue in the Issues section of the project.
Code of Conduct
- Encoding filepaths in URI
- Remove unused msrest dependency
- Compatibility of the sdist with wheel 0.31.0
- Fixed upload issue where destination filename was wrong while upload of directory with single file #208
- Fixed read issue where whole file was cached while doing positional reads #198
- Fixed readline as well for the same
- Fixed README.rst indentation error
- Changed management endpoint
- Fixed Multi chunk transfer hangs as merging chunks fails #187
- Added syncflag and leaseid in create, append calls.
- Added filesessionid in create, append and open calls.
- Enable Data Lake Store progress controller callback #174
- Fix File state incorrectly marked as “errored” if contains chunks is “pending” state #182
- Fix Race condition due to transfer future done_callback #177
- Fix an issue where common prefixes in paths for upload and download were collapsed into only unique paths.
- Add support for automatic refreshing of service principal credentials
- Fix a regression with ls returning the top level folder if it has no contents. It now properly returns an empty array if a folder has no children.
- Update to name incomplete file downloads with a .inprogress suffix. This suffix is removed when the download completes successfully.
- Allow users to explicitly use or invalidate the internal, local cache of the filesystem that is built up from previous ls calls. It is now set to always call the service instead of the cache by default.
- Update to properly create the wheel package during build to ensure all pip packages are available.
- Update folder upload/download to properly throw early in the event that the destination files exist and overwrite was not specified. NOTE: target folder existence (or sub folder existence) does not automatically cause failure. Only leaf node existence will result in failure.
- Fix a bug that caused file not found errors when attempting to get information about the root folder.
- Enforce basic SSL utilization to ensure performance due to GitHub issue 625 <https://github.com/pyca/pyopenssl/issues/625>
- Fix server-side throttling retry support. This is not a guarantee that if the server is throttling the upload (or download) it will eventually succeed, but there is now a back-off retry in place to make it more likely.
- Update the build process to more efficiently handle multi-part namespaces for pip.
- Fix an issue with path caching that should drastically improve performance for download
- Fix for downloader to ensure there is access to the source path before creating destination files
- Fix for credential objects to inherit from msrest.authentication for more universal authentication support
- Add support for the following:
- set_expiry: allows for setting expiration on files
- ACL management:
- set_acl: allows for the full replacement of an ACL on a file or folder
- set_acl_entries: allows for “patching” an existing ACL on a file or folder
- get_acl_status: retrieves the ACL information for a file or folder
- remove_acl_entries: removes the specified entries from an ACL on a file or folder
- remove_acl: removes all non-default ACL entries from a file or folder
- remove_default_acl: removes all default ACL entries from a folder
- Remove unsupported and unused “TRUNCATE” operation.
- Added API-Version support with a default of the latest api version (2016-11-01)
- Fix for folder upload to properly delete folders with contents when overwrite specified.
- Fix to set verbose output to False/Off by default. This removes progress tracking output by default but drastically improves performance.
- Fix to setup.py to include the HISTORY.rst file. No other changes
- Addresses an issue with lib.auth() not properly defaulting to 2FA
- Fixes an issue with Overwrite for ADLUploader sometimes not being honored.
- Fixes an issue with empty files not properly being uploaded and resulting in a hang in progress tracking.
- Addition of a samples directory showcasing examples of how to use the client and upload and download logic.
- General cleanup of documentation and comments.
- This is still based on API version 2016-11-01
- Initial preview release. Based on API version 2016-11-01.
- Includes initial ADLS filesystem functionality and extended upload and download support.
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|azure_datalake_store-0.0.22-py2.py3-none-any.whl (44.5 kB) Copy SHA256 hash SHA256||Wheel||py2.py3||Jun 5, 2018|
|azure-datalake-store-0.0.22.tar.gz (48.7 kB) Copy SHA256 hash SHA256||Source||None||Jun 5, 2018|