How to use jupyter notebook in sagemaker unified studio?
I have created sagemaker unified studio using manual setup method, I have created project within the domain having project profile of "All Capabilities" also I have created and added new compute of emr serverless in data processing, but when I am opening jupyter lab from build section I am not able to see local python above the cell also I am not able to change compute for the same. Please help me resolve this issue? Her is the supported media.
- Newest
- Most votes
- Most comments
I understand you're having trouble using Jupyter notebooks in SageMaker Unified Studio. Let's address your issue step by step:
-
Opening JupyterLab: You're on the right track by opening JupyterLab from the Build section. This is the correct way to access the JupyterLab IDE within SageMaker Unified Studio.
-
Missing Local Python and Compute Options: The issue you're experiencing where you can't see Local Python or change compute options is not typical. In a properly configured SageMaker Unified Studio environment, you should see dropdown menus at the top left of each cell. These menus allow you to select different connection types, including Local Python, PySpark, SQL, and others.
-
Default Configurations: By default, all project profiles in SageMaker Unified Studio, including the "All Capabilities" profile you're using, should come with Local Python, serverless Spark powered by AWS Glue, and Trino with Amazon Athena.
-
Troubleshooting Steps:
- Ensure your project is fully initialized and all resources are properly provisioned.
- Try refreshing the JupyterLab page or reopening the notebook.
- Check if there are any error messages in the JupyterLab console that might indicate configuration issues.
- Verify that your IAM permissions are correctly set to allow SageMaker Studio to create and manage necessary resources.
-
Compute Management: If the issue persists, try reviewing your project's compute management screen. You should be able to add or modify compute connections from this screen.
-
Alternative Approach: If you continue to face issues, you could try creating a new notebook from scratch within the JupyterLab interface to see if the compute options appear there.
If these steps don't resolve the issue, it may be worth contacting AWS support or reviewing your SageMaker Unified Studio setup to ensure all components are correctly configured. The behavior you're experiencing suggests there might be an underlying configuration or permission issue that's preventing the full functionality of the JupyterLab interface in your SageMaker Unified Studio environment.
Sources
An integrated experience for all your data and AI with Amazon SageMaker Unified Studio | AWS Big Data Blog
An integrated experience for all your data and AI with Amazon SageMaker Unified Studio (preview) | AWS Big Data Blog
Use the sample notebook - Amazon SageMaker Unified Studio
Build models in JupyterLab - Amazon SageMaker Unified Studio
Hi friend, did you solved this problem? Im having the same issue here. Thanks
I might have encountered the same issue. Previously, I could switch between Python local, Athena, Redshift, etc. in the "compute" section. Now there's only "compute" left. I don’t know how to execute Athena SQL through this anymore.
