What causes MetricFlowQueryError?

A BI tool requested a metric that does not exist or was renamed in the semantic model. The requested dimension is not accessible from the metric's measure (not in the same semantic model or join path). An unsupported time grain was requested for the metric's primary time dimension. A filter expression uses a dimension type or syntax that MetricFlow does not support

How do I fix MetricFlowQueryError?

Step 1: Run dbt sl list metrics to see all available metrics and dbt sl list dimensions --metrics metric_name to see valid dimensions.. Step 2: Verify the requested dimension is accessible from the metric — check entity join paths in the semantic model.. Step 3: Confirm the time grain is defined for the metric's primary time dimension.. Step 4: Test the query locally: dbt sl query --metrics metric --group-by dimension.. Step 5: Check dbt Cloud semantic layer logs for the exact query that failed and the MetricFlow error detail.

Medium severityexecution

Power BI Refresh Error:
MetricFlowQueryError

What does this error mean?

MetricFlow failed to translate a semantic layer query into SQL because the requested metric, dimension, or time grain combination is invalid or not supported.

Common causes

1A BI tool requested a metric that does not exist or was renamed in the semantic model
2The requested dimension is not accessible from the metric's measure (not in the same semantic model or join path)
3An unsupported time grain was requested for the metric's primary time dimension
4A filter expression uses a dimension type or syntax that MetricFlow does not support

How to fix it

1Step 1: Run dbt sl list metrics to see all available metrics and dbt sl list dimensions --metrics metric_name to see valid dimensions.
2Step 2: Verify the requested dimension is accessible from the metric — check entity join paths in the semantic model.
3Step 3: Confirm the time grain is defined for the metric's primary time dimension.
4Step 4: Test the query locally: dbt sl query --metrics metric --group-by dimension.
5Step 5: Check dbt Cloud semantic layer logs for the exact query that failed and the MetricFlow error detail.

Frequently asked questions

How do I test a MetricFlow query without a BI tool?

Use the dbt CLI: dbt sl query --metrics revenue --group-by metric_time__month. This validates the query and shows the generated SQL without requiring a BI connection.

Can Power BI connect directly to the dbt Semantic Layer?

Yes — Power BI can connect to the dbt Semantic Layer via the dbt Semantic Layer JDBC driver or through third-party connectors. Metric queries translate to MetricFlow SQL at query time.