azure-data-lake-store-python/Milestones.md

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- First milestone: Core data
lake store filesystem client, which includes:
- 1:1 mapping of filesystem
REST endpoints to client methods
- Unit tests and CI tests
for the core client covering all the methods
- Pythonic Filesystem layer, including file class interfacing for the REST calls. This allows native interaction with file objects the same way a user would interact with basic python files and folders.
- Second milestone: performant
extension to the core client for single file upload and download
- Basically, multi-part
upload/download support for single files, with flexibility for the user
to determine how performant/parallel the upload/download is, with smart
defaults that will take advantage of their available network capacity.
- Unit tests and CI tests
for this functionality
- Third milestone: addition
of folder and recursive support for performant upload/download and
performance tests
- Extending the single file
upload/download to allow for folder and recursive folder
upload/download
- Unit tests and CI tests
for this functionality
- Addition of performance
tests to measure performance for large files, folders full of small and
mixed file sizes. Once stable, we will integrate these tests into our
existing performance testing and reporting service.
- Fourth milestone:
Stabilization, Integration and documentation
- Stabilize the work of the
previous three milestones and ensure all tests and CI jobs have robust
coverage
- Integrate this custom
functionality with the existing Azure SDK for python. This includes
proper packaging and naming, ensure inclusion of any common dependencies
for things like error handling (ideally this is done in an ongoing basis
during development in milestone one, but just in case anything is missed
it is fixed here).
- Get the functionality
ready for package publishing, which includes ensuring our getting started
documentation, samples and readthedocs code documentation is ready and
has been reviewed.
- Fifth milestone (if time
remains): Convenience layer for auto-generated clients
- This is much lower
priority than the previous four milestones, but if we have time it would
be good to go over the auto-generated client functionality for our other
four clients and see if there are any good quality of life improvements
we can make for users.