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Mahimaa29
Regular Visitor

Integration Runtime Busy Error When Deploying DACPAC to Warehouse

I’m trying to migrate a table containing approximately 100,000 records into a warehouse using a DACPAC file. During the deployment, I encounter the following error: "Integration Runtime busy". Is there a maximum row/record limit when moving data via DACPAC? Or could this error be related to resource limitations or configuration of the Integration Runtime?

Any guidance on best practices for handling larger tables with DACPAC would be greatly appreciated.

1 ACCEPTED SOLUTION

Hi @Mahimaa29

 

Can you post a screenshot of your copy job? 

 

When it is running, can you monitor the system resources (CPU, memory) of your gateway machine and see what is going on there? 

YOu might need to get a more powerful gateway server. 

 

If you found this helpful, consider giving some Kudos. If I answered your question or solved your problem, mark this post as the solution. 

 

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5 REPLIES 5
v-prasare
Community Support
Community Support

Hi @Mahimaa29,

We would like to confirm if our community members answer resolves your query or if you need further help. If you still have any questions or need more support, please feel free to let us know. We are happy to help you.

 

 

 

Thank you for your patience and look forward to hearing from you.
Best Regards,
Prashanth Are
MS Fabric community support

v-prasare
Community Support
Community Support

Hi @Mahimaa29,

We would like to confirm if you have resolved your query or if you need further help. If you still have any questions or need more support, please feel free to let us know. We are happy to help you. Can you please share screenshot here as @tayloramy  requested


@tayloramy ,Thanks for your prompt response

 

 

 

Thank you for your patience and look forward to hearing from you.
Best Regards,
Prashanth Are
MS Fabric community support

Mahimaa29
Regular Visitor

I’m using the Migrate option in Microsoft Fabric. The DACPAC migration step completed successfully, but during the copy job step I face intermittent issues connecting to the on-premises gateway. Sometimes the connection works, and the data migration proceeds without issues. Other times, I encounter the following error: “Integration Runtime busy.”

Since the Integration Runtime appears to be online, I’m trying to understand what causes this inconsistent connectivity? Is there a known limitation or configuration that might trigger the “Integration Runtime busy” error? What are the best practices to avoid such interruptions during migration?

Hi @Mahimaa29

 

Can you post a screenshot of your copy job? 

 

When it is running, can you monitor the system resources (CPU, memory) of your gateway machine and see what is going on there? 

YOu might need to get a more powerful gateway server. 

 

If you found this helpful, consider giving some Kudos. If I answered your question or solved your problem, mark this post as the solution. 

 

tayloramy
Community Champion
Community Champion

Hi @Mahimaa29,

 

You’re hitting a very “plumbing-layer” issue, not a row-count limit. A DACPAC is meant to deploy schema (and optional seed scripts) to a Warehouse. The “Integration Runtime busy” message points to runtime saturation or gateway/concurrency limits during your pipeline/connection step-not to 100k rows being “too big.”

 

  • Use DACPAC for schema only. Deploy the objects to your Warehouse via SQL Projects/SqlPackage, not the data. See Microsoft’s guidance for Warehouse/SQL projects and SqlPackage usage: SQL database projects + SqlPackage in Fabric.
  • Load the data with COPY INTO (recommended) or a Pipeline Copy activity. For larger loads, stage files and use COPY INTO for high-throughput ingestion: COPY INTO best practices.
  • Address the “runtime busy” angle:
    • If you use Pipelines/gateways, check capacity/throughput and reduce bursts (parallel Lookups/Copies), and add retries. Monitor with the Fabric Capacity Metrics app: Metrics app overview.
    • If you’re using a self-hosted IR/VNET Gateway, verify machine resources, version, and concurrency; scale up/out if needed: Self-hosted IR troubleshooting.

If you found this helpful, consider giving some Kudos. If I answered your question or solved your problem, mark this post as the solution.

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