This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreGet Fabric Certified for FREE during AI Skills Fest. This week only. Secure your voucher now.
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
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.
Check out the June 2026 Fabric update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.