Juan Luis07/03/2023, 2:54 PM
is out! K
TLDR: In this release, we added added a newKedro 0.18.11 is a non-breaking release in the 0.18.x series, which means you can upgrade with:official starter and significantly improved the documentation around Databricks deployments. We also fixed some bugs around micropackaging and remote datasets, updated the documentation for Prefect 2.0, and deprecated some class names.
pip install kedro==0.18.11
🚀 Major Features and improvements • Added
conda/mamba/micromamba install -c conda-forge kedro=0.18.11
as an official starter. 🪲 Bug fixes and other changes • Reworked micropackaging workflow to use standard Python packaging practices. • Make
kedro micropkg package
. • Compare for protocol and delimiter in
to be able to pass the protocol to partitions which paths starts with the same characters as the protocol (e.g.
). ✍️ Documentation changes • Significant improvements to the documentation that covers working with Databricks and Kedro, including a new page for workspace-only development, and a guide to choosing the best workflow for your use case. • Updated documentation for deploying with Prefect for version 2.0. ⚠️ Upcoming deprecations • Renamed dataset and error classes, in accordance with the Kedro lexicon. Dataset classes ending with "DataSet" and error classes starting with "DataSet" are deprecated and will be removed in 0.19.0. 💌 Community contributions • Many thanks to jmalovera10, @Rahul Kumar, @Julius Hetzel, jacobweiss2305, eduardoconto and tomasvanpottelbergh for contributing PRs to this release! We welcome every community contribution, large or small. See what we're working on now and report bugs or suggest future features. Until next time, The Kedro Team 💛
Matthias Roels07/03/2023, 3:26 PM
Juan Luis07/03/2023, 3:27 PM
Jo Stichbury07/03/2023, 3:29 PM