The following release notes correspond to January 24, 2022 - February 16, 2022. This release includes back-end updates to workflows, user interface, and Google integrations to improve upcoming features.
Interactive Analysis (Notebooks, Galaxy, RStudio)
- Previously, when using the Jupyter Cloud Environment and reconfiguring the Docker runtime image, the persistent disk (PD) only preserved contents under the
/home/jupyter/notebooksdirectory but not the files in the user's home directory. We've updated the mount point for PDs to the user's home directory,
/home/jupyter-user. To determine the name of your home directory, run
!echo $HOMEfrom within your notebook.
- You can now click to open the google console to view your BigQuery datasets and tables for TDR datasets and snapshots (!!!)
- We fixed a permissions issue for snapshot creators that prevented them from reading datasets.
- Information describing the creation of snapshots is now retained and, when available, returned by the snapshot retrieve endpoint.
- The "Export to Workspace" mechanism will now make a copy of the tabular data in a snapshot and store the copy of that tabular data into the workspace. This means that when a snapshot is exported to a workspace, everyone who has access to the workspace will now be able to see the data inside the snapshot.
- We fixed a malfunction in the delete asset endpoint (removeDatasetAssetSpecifications) in Swagger UI
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