Microsoft Fabric: [TooManyRequestsForCapacity] HTTP Response code 430: This Spark job can’t be run b

TAnalytics — Wed, 10 Jun 2026 09:43:28 GMT

Hello guys,

I've set up a free Fabric trial and also in Azure I've created a trial work Fabric workspace. However, If I create a OneLake and try to load a csv file into a table I get the following error message:

[TooManyRequestsForCapacity] HTTP Response code 430: This Spark job can’t be run because you’ve hit a Spark compute or API rate limit. To proceed, cancel an active Spark job through the Monitoring hub, choose a larger capacity SKU, or try again later. For more visibility and control, go to Workspace settings → Job management (Job Concurrency & Queue Monitoring) to review running and queued Spark jobs, understand capacity contention, and take action as needed. [Learn more at 'https://go.microsoft.com/fwlink/?linkid=2356970&clcid=0x409'].

This is the CSV file, which is btw from Microsoft Learning Platform: https://raw.githubusercontent.com/MicrosoftLearning/dp-data/main/sales.csv

Re: Microsoft Fabric: [TooManyRequestsForCapacity] HTTP Response code 430: This Spark job can’t be r

deborshi_nag — Wed, 10 Jun 2026 10:24:52 GMT

Hello @TAnalytics

Fabric trial capacity is shared, so when there are no free cores, pipeline jobs are queued and interactive jobs may fail. That’s why you’re seeing the error message. You can check the Monitoring Hub and try loading the CSV file when activity is lower. Alternatively, you could use Dataflow Gen2 for CSV ingestion in a pipeline.

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Microsoft Fabric: [TooManyRequestsForCapacity] HTTP Response code 430: This Spark job can’t be run b

Re: Microsoft Fabric: [TooManyRequestsForCapacity] HTTP Response code 430: This Spark job can’t be r