fabric-monitoring-dmv - Monitor Fabric semantic models through XMLA
Monitors Fabric semantic models and capacity through XMLA DMV queries and the Power BI REST API, including refreshes, model health, partitions, and memory.
Tags
Updated: 2026-10-02Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Build XMLA connection strings
- Query TMSCHEMA metadata
- Monitor refresh status and history
- Run custom DMV queries
- Analyze partitions and model size
- Query capacity through REST API
Inputs
- SPN or AAD user credentials
- Fabric workspace name
- Semantic model name
- XMLA connection string
- Custom DMV or DAX query
- OAuth access token
Outputs
- XMLA connection string
- Partition metadata table
- DMV query result table
- Refresh status and history
- Model size and memory analysis
- Capacity monitoring data
Requirements
- Fabric XMLA endpoint access
- pyadomd package
- ADOMD.NET client library
- Valid Fabric permissions
- Power BI API access for REST queries
- Python environment with pandas