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Update RELEASE.md #1883

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3 changes: 2 additions & 1 deletion RELEASE.md
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Expand Up @@ -14,6 +14,8 @@

## Bug fixes and other changes

* Fixed `format` in `save_args` for `SparkHiveDataSet`, previously it didn't allow you to save it as delta format.

## Breaking changes to the API

# Release 0.18.3
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* Relaxed `delta-spark` upper bound to allow compatibility with Spark 3.1.x and 3.2.x.
* Added `gdrive` to list of cloud protocols, enabling Google Drive paths for datasets.
* Added svg logo resource for ipython kernel.
* Fixed `format` in `save_args` for `SparkHiveDataSet`.

## Upcoming deprecations for Kedro 0.19.0
* The Kedro IPython extension will no longer be available as `%load_ext kedro.extras.extensions.ipython`; use `%load_ext kedro.ipython` instead.
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2 changes: 1 addition & 1 deletion docs/source/deployment/databricks.md
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Expand Up @@ -159,7 +159,7 @@ Then press `Confirm` button. Your cluster will be restarted to apply the changes

Congratulations, you are now ready to run your Kedro project from the Databricks!

[Create your Databricks notebook](https://docs.databricks.com/notebooks/notebooks-manage.html#create-a-notebook) and remember to [attach it to the cluster](https://docs.databricks.com/notebooks/notebooks-manage.html#attach) you have just configured.
[Create your Databricks notebook](https://docs.databricks.com/notebooks/notebooks-manage.html#create-a-notebook) and remember to attach it to the cluster you have just configured.

In your newly-created notebook, put each of the below code snippets into a separate cell, then [run all cells](https://docs.databricks.com/notebooks/notebooks-use.html#run-notebooks):

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