Issues Fixed in Cloudera Data Science Workbench 1.5.0

The current release of Cloudera Data Science Workbench includes fixes for bugs.

  • Fixed an issue with RPM installations where NO_PROXY settings were being ignored.

    Cloudera Bug: DSE-4444

  • Fixed an issue where CDSW would not start because of IP issues with web pods. Version 1.5 fixes this by enabling IPv4 forwarding at startup.

    Cloudera Bug: DSE-4609

  • Fixed an issue where engines would get deleted immediately after an exit/crash and engine logs did not persist which made it difficult to debug issues with crashes or auto-restarts.

    Cloudera Bug: DSE-4008, DSE-4417

  • Fixed intermittent issues with starting and stopping Cloudera Data Science Workbench on CSD deployments.

    Cloudera Bug: DSE-4426, DSE-4829

  • Fixed an issue where Cloudera Data Science Workbench was reporting incorrect file sizes for files larger than 2 MB.

    Cloudera Bug: DSE-4531, DSE-4532

  • Fixed an issue where the Run New Experiment dialog box did not include the file selector and the Script name had to be typed in manually.

    Cloudera Bug: DSE-3650

  • Fixed an issue where underlying Kubernetes processes were running out of resources leading to Out of Memory (OOM) errors. Cloudera Data Science Workbench now reserves compute resources for Kubernetes components.

    Cloudera Bug: DSE-4896, DSE-5001

  • Fixed an issue where the PYSPARK3_PYTHON environment variable was not working as expected for Python 3 workloads.

    Cloudera Bug: DSE-4329

  • Fixed an issue where Docker commands would fail on Cloudera Data Science Workbench engines that are not available locally (such as custom engine images) when an HTTP/HTTPS proxy was in use.

    Cloudera Bug: DSE-4427

  • Fixed an issue where installation of the XML package would fail in the R kernel.

    Cloudera Bug: DSE-2201