Major features and improvements
- Extended the
pipeline()API to allow strings and sets of strings as
outputs, to specify when a dataset name remains the same (not namespaced).
- Added the ability to add custom prompts with regexp validator for starters by repurposing
- Added the
- Refactored the way
settingsare loaded. You will now be able to run:
from kedro.framework.project import settings print(settings.CONF_ROOT)
Bug fixes and other changes
- The version of a packaged modular pipeline now defaults to the version of the project package.
- Added fix to prevent new lines being added to pandas CSV datasets.
- Fixed issue with loading a versioned
SparkDataSetin the interactive workflow.
- Kedro CLI now checks
tool.kedrosection before treating the project as a Kedro project.
- Added fix to
DataCatalog::shallow_copynow it should copy layers.
kedro pipeline pullnow uses
pip downloadfor protocols that are not supported by
- Cleaned up documentation to fix broken links and rewrite permanently redirected ones.
- Added a
jsonschemaschema definition for the Kedro 0.17 catalog.
kedro installnow waits on Windows until all the requirements are installed.
--to-outputsoption in the CLI, throughout the codebase, and as part of hooks specifications.
- Fixed a bug where
ParquetDataSetwasn't creating parent directories on the fly.
- Updated documentation.
Breaking changes to the API
- This release has broken the
kedro jupyterworkflows. To fix this, follow the instructions in the migration guide below.
Note: If you're using the
ipythonextension instead, you will not encounter this problem.
You will have to update the file
<your_project>/.ipython/profile_default/startup/00-kedro-init.py in order to make
kedro ipython and/or
kedro jupyter work. Add the following line before the
KedroSession is created:
configure_project(metadata.package_name) # to add session = KedroSession.create(metadata.package_name, path)
Make sure that the associated import is provided in the same place as others in the file:
from kedro.framework.project import configure_project # to add from kedro.framework.session import KedroSession