What causes SERVERLESS_COMPUTE_QUOTA_EXCEEDED?

Multiple serverless SQL warehouses or serverless job clusters are running simultaneously, collectively exceeding the account's regional DBU quota. A single high-concurrency workload burst created more serverless compute instances than the account quota allows. The default serverless quota for a new account is too low for the production workload and has not been increased via a quota request

How do I fix SERVERLESS_COMPUTE_QUOTA_EXCEEDED?

Step 1: In the Databricks Account Console, navigate to Settings > Quotas to view the current serverless compute quota for each region.. Step 2: Identify which workspaces are consuming the most serverless DBUs using the Account Console usage dashboard or the system tables.. Step 3: Submit a quota increase request through Databricks Support, providing your expected DBU/hour usage.. Step 4: As a temporary measure, configure SQL Warehouses to auto-stop after a shorter idle period to free up quota more quickly.

Critical severityresource

Power BI Refresh Error:
SERVERLESS_COMPUTE_QUOTA_EXCEEDED

What does this error mean?

A serverless SQL warehouse or serverless job compute request was denied because the account has reached its regional quota for serverless compute DBUs, preventing new serverless resources from starting.

Common causes

1Multiple serverless SQL warehouses or serverless job clusters are running simultaneously, collectively exceeding the account's regional DBU quota
2A single high-concurrency workload burst created more serverless compute instances than the account quota allows
3The default serverless quota for a new account is too low for the production workload and has not been increased via a quota request

How to fix it

1Step 1: In the Databricks Account Console, navigate to Settings > Quotas to view the current serverless compute quota for each region.
2Step 2: Identify which workspaces are consuming the most serverless DBUs using the Account Console usage dashboard or the system tables.
3Step 3: Submit a quota increase request through Databricks Support, providing your expected DBU/hour usage.
4Step 4: As a temporary measure, configure SQL Warehouses to auto-stop after a shorter idle period to free up quota more quickly.

Frequently asked questions

Is the serverless quota per workspace or per account?

The serverless compute quota is enforced at the regional account level, meaning it is shared across all workspaces in the same Databricks account within the same cloud region.

Does this affect classic compute clusters?

No. Classic interactive and job clusters have separate quotas governed by your cloud provider's instance limits. SERVERLESS_COMPUTE_QUOTA_EXCEEDED only applies to Databricks-managed serverless compute.