Forum Discussion
Your Compute session is disconnected
Hi Ojicletus ,
This error means your Fabric capacity has reached the concurrent Spark jobs limit. This is a SKU/capacity-level throttling issue, not necessarily a problem with your code.
Learn more here: https://learn.microsoft.com/fabric/data-engineering/spark-job-concurrency-and-queueing
I would recommend reviewing the following:
1. Review and cancel active jobs
Go to Workspace Settings → Data Engineering/Science → Spark settings → Jobs and cancel any non-critical Spark jobs.
There are often "zombie" notebook sessions consuming Spark slots without doing anything useful.
https://learn.microsoft.com/fabric/data-engineering/job-concurrency-queue-monitoring
2. Activate High Concurrency (if applicable)
This can help improve Spark session utilization and reduce concurrency-related issues.
3. Review Spark compute configuration
In fact, I ran into the same error today and immediately thought of you.
In my case, I adjusted the Spark configuration. I had a Medium node running on an F4 capacity, and I changed it to Small, also adjusting the number of nodes. That resolved the issue for me.
Give it a try and let us know if it works for you: https://learn.microsoft.com/en-us/fabric/data-engineering/environment-manage-compute
Additional references that may help:
https://learn.microsoft.com/fabric/data-engineering/job-queueing-for-fabric-spark
https://learn.microsoft.com/fabric/data-engineering/autoscale-billing-for-spark-overview
https://learn.microsoft.com/fabric/data-engineering/troubleshoot-permissions-capacity#capacity-and-r...
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Thank you!
TooManyRequestsForCapacity - you are running too many requests in quick succession. See if you can space your requests out a bit more.
This error indicates that the capacity has reached its request limit. Try spacing out your requests, waiting a few minutes before retrying, and checking for any other running workloads that may be consuming capacity. If you're on a trial or shared capacity, temporary throttling can occur during peak usage.
