Nok Lam Chan
09/20/2022, 3:35 PMTLDR: In this release, we introduce a new autodiscovery project pipelines feature, improved the IPython experience with an alias, andKedro 0.18.3 is a non-breaking release in the 0.18.x series, which means you can upgrade with:now accepts keywords arguments. There are couple of fixes to make Rich’s log less verbose and work better with Databricks.%reload_kedro
pip install kedro==0.18.3
or conda install -c conda-forge kedro==0.18.3
🚀 Major Features/Changes
• [NEW] - autodiscovery of project pipelines. See our documentation for more details.
• The Kedro IPython extension should now be loaded with %load_ext kedro.ipython
.
• The line magic %reload_kedro
now accepts keywords arguments, e.g. %reload_kedro --env=prod
.
• Improved resume pipeline suggestion for SequentialRunner
, it will backtrack the closest persisted inputs to resume.
🪲 Bug fixes and other changes
• Changed default False
value for rich logging show_locals
, to make sure credentials and other sensitive data isn’t shown in logs.
• Rich traceback handling is disabled on Databricks so that exceptions now halt execution as expected.
• When using kedro run -n [some_node]
, if some_node
is missing a namespace the resulting error message will suggest the correct node name.
• The Kedro IPython extension now surfaces errors when it cannot load a Kedro project.
• And more …
You can find the full list of changes in the release notes:
https://github.com/kedro-org/kedro/releases/tag/0.18.3