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RELEASE_NOTES.md

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DataLab is Self-service, Fail-safe Exploratory Environment for Collaborative Data Science Workflow

New features in v2.6.0

All cloud platforms:

  • Implemented Images page, where DataLab users may view and manage custom images.
    • Now DataLab user can:
      • View the list of own and shared custom images;
      • View additional info about custom image;
      • View activities on sharing/stopping sharing custom images;
      • Share custom images with selected users or user groups;
      • Stop sharing custom images with selected users or user groups;
      • Terminate custom images.
    • DataLab administrators can grant permission to user for:
      • Sharing own custom images;
      • Terminating own custom images;
      • Notebook creation based on own custom images;
      • Notebook creation based on shared custom images.
  • Updated versions of installed software:
    • Jupyter notebook v.6.4.12;
    • JupyterLab notebook v.3.4.3;
    • Superset notebook v.1.5.1;
    • TensorFlow notebook v.2.9.1;
    • RStudio notebook v.2022.02.2-485;
    • Angular v.11.2.14;
    • Keycloak v.18.0.1.
  • Added the possibility to connect a new data platform to DataLab account.
    • Now DataLab users can connect MLflow platform.

AWS:

  • Added a new template JupyterLab with TensorFlow.

Azure:

  • Added support of Data Engine Service (HDInsight) for RStudio, Jupyter & Apache Zeppelin notebooks.

Improvements in v2.6.0

All cloud platforms:

  • Added ability to start user's notebook from administrative panel;
  • Improved filter function by creating a separate “Filter” action button (in this release available only for Image page, to be updated on other pages in the next releases);
  • Added minor improvements for About & Help sections to make user experience easier and more intuitive.

Bug fixes in v2.6.0

All cloud platforms:

  • Fixed a bug when project creation was allowed after total quota exceeded;
  • Fixed a bug when Ungit link leaded to 502 error for DeepLearning notebook;
  • Fixed wrong date & time data of uploaded objects in the bucket browser;
  • Fixed a bug when R package was absent for installation from DataLab WEB UI for RStudio & Apache Zeppelin notebooks;

AWS:

  • Fixed a bug when EMR creation failed on RStudio & Apache Zeppelin notebooks.

GCP:

  • Fixed a bug when Superset creation failed during configuration;
  • Fixed a bug when Dataproc creation failed on RStudio & Apache Zeppelin notebooks;
  • Fixed a bug when billing data were absent for Compute;
  • Fixed a bug when DataLab deployment was unsuccessful in existing VPC or subnet.

Known issues in v2.6.0

GCP:

  • SSO is not available for Superset.

Refer to the following link in order to view other major/minor issues in v2.6.0

Apache DataLab: Known issues

Known issues caused by cloud provider limitations in v2.6.0

Microsoft Azure:

  • Resource name length should not exceed 80 chars.

GCP:

  • Resource name length should not exceed 64 chars.

NOTE: the DataLab has not been tested for RedHat Enterprise Linux.