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_PROXYsettings 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_PYTHONenvironment 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
XMLpackage would fail in the R kernel.
Cloudera Bug: DSE-2201