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APPLIES TO:
Azure CLI ml extension v2 (current)
Python SDK azure-ai-ml v2 (current)
When trying to launch an R kernel in JupyterLab or a notebook in a new compute instance, the kernel fails to start with Error: .onLoad failed in loadNamespace().
Status: Open
Problem area: Compute
After creating a new compute instance, try to launch R kernel in JupyterLab or a Jupyter notebook. The kernel fails to launch. You'll see the following messages in the Jupyter logs:
Aug 01 14:18:48 august-compute2Q6DP2A jupyter[11568]: Error: .onLoad failed in loadNamespace() for 'pbdZMQ', details:
Aug 01 14:18:48 august-compute2Q6DP2A jupyter[11568]: call: dyn.load(file, DLLpath = DLLpath, ...)
Aug 01 14:18:48 august-compute2Q6DP2A jupyter[11568]: error: unable to load shared object '/usr/local/lib/R/site-library/pbdZMQ/libs/pbdZMQ.so':
Aug 01 14:18:48 august-compute2Q6DP2A jupyter[11568]: libzmq.so.5: cannot open shared object file: No such file or directory
Aug 01 14:18:48 august-compute2Q6DP2A jupyter[11568]: Execution halted
To work around this issue, run this code in the compute instance terminal:
jupyter kernelspec list
sudo rm -r <path/to/kernel/directory>
conda create -n r -y -c conda-forge r-irkernel jupyter_client
conda run -n r bash -c 'Rscript <(echo "IRkernel::installspec()")'
jupyter kernelspec list
Training
Module
Work with compute targets in Azure Machine Learning - Training
Learn how to work with compute targets in Azure Machine Learning. Compute targets allow you to run your machine learning workloads. Explore how and when you can use a compute instance or compute cluster.