ML Runtimes Known Issues and Limitations
You might run into some known issues while using ML Runtimes.
Starting a worker from Runtime session will create a worker with engine image
This issue is resolved in ML Runtimes 2021.09 when used with the latest ML Workspace versions.
For workers to function properly with ML Runtimes, please use ML Runtimes 2021.09 or later with CML Workspace version of 2.0.22 or later.
Cloudera Bug: DSE-17126
Disable Scala runtimes in models, experiments and applications runtime selection
Scala Runtimes should not appear as an option for Models, Experiments, and Applications in the user interface. Currently Scala Runtimes only support Session and Jobs.
Cloudera Bug: DSE-17981
Some bugs present for R in the legacy engine persist in ML Runtimes
Some bugs that were present for R in the legacy engine persist in ML runtimes.
Cloudera Bug: DSE-14447
Code completion in Workbench editor does not work in ML Runtimes
Code completion in the Workbench editor does not work when using Runtimes. It does work in the console on the right hand side, and it does work in both the editor and console when using Legacy Engines.
Limitations for Spark support in ML Runtimes
- ML Runtimes running Python 3.8 kernel does not support running Spark.
- ML Runtimes on CDH 7.x does not support running Spark.