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High severityschema

Power BI Refresh Error:
HRESULT: 0x80040E37

What does this error mean?

The Analysis Services or OLE DB provider cannot find the specified table or object. The hex code 0x80040E37 maps to the OLE DB error DB_E_NOTABLE — object does not exist.

Common causes

  • 1A table referenced in a partition query or relationship was dropped or renamed in the source database
  • 2The dataset connects to an SSAS cube and a dimension or measure group was removed from the cube
  • 3A calculated table in the Power BI model references a source table that no longer exists
  • 4The database or schema prefix in the query changed (e.g., 'dbo.Orders' renamed to 'sales.Orders')
  • 5The Power BI model was published targeting a different database than the one that has the table

How to fix it

  1. 1Note the object name in the error message and verify it still exists in the source database.
  2. 2In Power BI Desktop, open the Query Editor and find the step that references the missing table.
  3. 3Update the table reference to the new name/schema and publish the updated dataset.
  4. 4If using SSAS, open SSMS and browse the cube structure to verify dimension and measure group names.
  5. 5Check whether the Power BI Service dataset was published against the correct server and database (dev vs. prod).

Frequently asked questions

What triggers a schema mismatch error in Power BI?

Schema errors occur when a column is renamed, removed, or its data type changes in the source system after the Power BI model was last published. Power BI cannot reconcile the new structure with the existing model.

Does this error affect all tables in the dataset or just one?

Usually just the table (or query step) where the schema change occurred. Other tables in the dataset may refresh successfully.

How do I fix a schema mismatch without republishing the full report?

Open Power BI Desktop, go to Power Query Editor, and locate the step that references the renamed or removed column. Update the column name to match the current source schema, then republish.

Can I prevent schema errors from breaking production refreshes?

Yes — implement column rename notifications in your source system change management process, and consider using explicit column selection (not SELECT *) in your queries to make schema changes predictable.

Source · learn.microsoft.com/en-us/analysis-services/instances/monitor-analysis-services-with-sql-server-profiler

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