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Hello,
The problem:
We are a team of 4. Currently 2 of us are getting into Fabric but it is really frustrating.
When user A is running a notebook, user B is not able to run notebooks and vice versa.
What do we need to configure in order to have concurrent users running notebooks.
Thanks and regards.
Solved! Go to Solution.
Hi @Anonymous
Thanks for providing the details. As per the screenshot you might need to increase the SKU capacity. This allocates more resources to your workspace and allows for handling larger loads. You can use the Capacity Metrics App to understand the capacity usage.
https://learn.microsoft.com/en-us/fabric/data-warehouse/compute-capacity-smoothing-throttling#throttling-considerations
Hope this helps. Please let me know if you have any further questions.
Please refer this blog maybe.
https://uselessai.in/how-to-fix-runmultiple-notebook-failure-in-microsoft-fabric-7eb728b8fcb8
Hi @Anonymous
Thanks for using Fabric Community.
High concurrency mode allows users to share the same Spark sessions in Fabric Spark for data engineering and data science workloads. An item like a notebook uses a standard Spark session for its execution. In high concurrency mode, the Spark session can support independent execution of multiple items within individual read-eval-print loop (REPL) cores that exist within the Spark application.
For more information on this please check these links:
https://learn.microsoft.com/en-us/fabric/data-engineering/high-concurrency-overview
https://learn.microsoft.com/en-us/fabric/data-engineering/configure-high-concurrency-session-notebooks
https://www.youtube.com/watch?v=4Fi1hzLNya4
Hope this helps. Please let me know if you have any further questions.
Hi @Anonymous
We haven’t heard from you on the last response and was just checking back to see if your query got resolved. Otherwise, will respond back with the more details and we will try to help.
Thanks
Hello @Anonymous,
I was on holyday. Today i'll take a look to your answer.
Thanks and regards.
Hello @Anonymous,
High concurrent sessions seems like an incomplete solution. I mean it would allow us to do more work concurrently, but what if we are working on different workspaces and different proyects. One of the requirements for high concurrent sessions is "Sessions should have the same default lakehouse configuration"
Hi @Anonymous
If you are working on different workspaces then High concurrent sessions might not be useful.
As you mentioned here:
We are a team of 4. Currently 2 of us are getting into Fabric but it is really frustrating.
When user A is running a notebook, user B is not able to run notebooks and vice versa.
Are you getting any error? Please provide the screenshot of the error.
Thanks
Hello,
Error:
Just to add we are on a F2 Capacity.
Hi @Anonymous
Thanks for providing the details. As per the screenshot you might need to increase the SKU capacity. This allocates more resources to your workspace and allows for handling larger loads. You can use the Capacity Metrics App to understand the capacity usage.
https://learn.microsoft.com/en-us/fabric/data-warehouse/compute-capacity-smoothing-throttling#throttling-considerations
Hope this helps. Please let me know if you have any further questions.
Hi @Anonymous
Glad that your query got resolved. Please continue using Fabric Community for any help regarding your queries.
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