itholic opened a new pull request, #47811:
URL: https://github.com/apache/spark/pull/47811

   
   
   ### What changes were proposed in this pull request?
   
   This PR proposes to improve error message for `assertSchemaEqual`
   
   ### Why are the changes needed?
   
   Current error message is not very actionable and lack of detail when the 
given parameter has invalid data type:
   
   ```python
   >>> assertSchemaEqual(df, df)  # Should be `df.schama` instead of `df`
   [UNSUPPORTED_DATA_TYPE] Unsupported DataType `<class 
'pyspark.sql.classic.dataframe.DataFrame'>`.
   ```
   
   
   ### Does this PR introduce _any_ user-facing change?
   
   No API change, but there is some user-facing error message change:
   
   **Before**
   ```python
   [UNSUPPORTED_DATA_TYPE] Unsupported DataType `<class 
'pyspark.sql.classic.dataframe.DataFrame'>`.
   ```
   
   **After**
   ```python
   [NOT_STRUCT] Argument `actual` should be a struct type, got DataFrame.
   ```
   
   
   ### How was this patch tested?
   
   The existing CI should pass
   
   ### Was this patch authored or co-authored using generative AI tooling?
   No


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