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@nakhan98 nakhan98 released this 30 Oct 17:23
0.15.4
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Major features and improvements

  • kedro jupyter now gives the default kernel a sensible name.
  • Pipeline.name has been deprecated in favour of Pipeline.tags.
  • Reuse pipelines within a Kedro project using Pipeline.transform, it simplifies dataset and node renaming.
  • Added Jupyter Notebook line magic (%run_viz) to run kedro viz in a Notebook cell (requires kedro-viz version 3.0.0 or later).
  • Added the following datasets:
    • NetworkXLocalDataSet in kedro.contrib.io.networkx to load and save local graphs (JSON format) via NetworkX. (by @josephhaaga)
    • SparkHiveDataSet in kedro.contrib.io.pyspark.SparkHiveDataSet allowing usage of Spark and insert/upsert on non-transactional Hive tables.
  • kedro.contrib.config.TemplatedConfigLoader now supports name/dict key templating and default values.

Bug fixes and other changes

  • get_last_load_version() method for versioned datasets now returns exact last load version if the dataset has been loaded at least once and None otherwise.
  • Fixed a bug in _exists method for versioned SparkDataSet.
  • Enabled the customisation of the ExcelWriter in ExcelLocalDataSet by specifying options under writer key in save_args.
  • Fixed a bug in IPython startup script, attempting to load context from the incorrect location.
  • Removed capping the length of a dataset's string representation.
  • Fixed kedro install command failing on Windows if src/requirements.txt contains a different version of Kedro.
  • Enabled passing a single tag into a node or a pipeline without having to wrap it in a list (i.e. tags="my_tag").

Breaking changes to the API

  • Removed _check_paths_consistency() method from AbstractVersionedDataSet. Version consistency check is now done in AbstractVersionedDataSet.save(). Custom versioned datasets should modify save() method implementation accordingly.

Thanks for supporting contributions

Joseph Haaga, Deepyaman Datta, Joost Duisters, Zain Patel, Tom Vigrass

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