Troubleshooting Azure Analysis Services

This guide provides common issues and solutions for Azure Analysis Services. Use the navigation on the left to explore specific problem areas.

This section addresses problems users might encounter when trying to connect to their Azure Analysis Services instance.

Error: "Cannot connect to the server."
Verify firewall rules on your Azure Analysis Services server and on the client machine. Ensure the service principal or user account has the necessary permissions (e.g., Administrator role).
Error: "Authentication failed."
Double-check credentials, including passwords or tokens. If using Azure AD authentication, ensure the user is assigned to the correct Azure AD group or has direct permissions on the Analysis Services server. Regenerate service principal credentials if applicable.
Slow connection times.
Network latency can be a factor. Consider deploying client applications closer to the Analysis Services region. Optimize the network path. Check for network congestion.

Troubleshooting issues related to data model refreshes.

Note: Ensure the gateway is running and configured correctly if using an on-premises data source.

Error: "Data source not found."
Verify the connection string and credentials for the data source are correct within the Analysis Services model. If the data source has moved or been renamed, update the model accordingly.
Error: "Query execution failed."
Examine the detailed error message from the data source. This could be due to invalid SQL, permission issues on the data source, or resource constraints on the source system.
Refresh takes too long or times out.
Optimize your data source queries. Consider incremental refresh if applicable. Increase the timeout settings if necessary, but investigate the root cause of slowness first. Ensure the Analysis Services tier is appropriate for the workload.

Diagnosing and resolving performance bottlenecks in your Analysis Services models.

Slow query performance.
Analyze query patterns using tools like SQL Server Profiler (connected to Analysis Services) or DMV queries. Optimize DAX or MDX expressions. Consider partitioning large tables. Ensure the correct Analysis Services tier is selected. Review model design for potential inefficiencies.
High resource utilization (CPU/Memory).
Identify queries or processes consuming excessive resources. Scale up your Azure Analysis Services tier. Optimize model calculations and aggregations. Look for memory leaks or inefficient data structures.

Issues encountered during deployment or management of Analysis Services models.

Error: "Model deployment failed."
Check the deployment logs for specific error messages. Ensure the version compatibility between the development tool (e.g., Visual Studio with Analysis Services projects) and the Azure Analysis Services service. Verify permissions for the deployment account.
Cannot access management features.
Ensure the user account or service principal has the 'Administrator' role on the Azure Analysis Services server. Check Azure RBAC assignments.

Useful tools and links for further assistance.