ganeshashree opened a new pull request, #52732:
URL: https://github.com/apache/spark/pull/52732

   
   
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   ### What changes were proposed in this pull request?
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   This PR enhances error reporting for corrupted view metadata by adding a 
detailed, user-friendly assertion message when there's a mismatch between the 
number of view query column names and the number of columns in the view schema.
   Changes:
   Enhanced the assertion in SessionCatalog.scala (fromCatalogTable method) to 
include:
   The fully qualified view name
   The actual number of view query column names vs schema columns
   The list of view query column names
   The list of view schema column names
   Guidance that the metadata needs to be repaired
   Added a unit test in SessionCatalogSuite.scala to verify the enhanced error 
message is displayed correctly when corrupted view metadata is detected.
   
   
   ### Why are the changes needed?
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   Please clarify why the changes are needed. For instance,
     1. If you propose a new API, clarify the use case for a new API.
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   Currently, when view metadata is corrupted (i.e., the number of view query 
column names doesn't match the schema length), the assertion fails with a 
generic "assertion failed" message that provides no context about:
   Which view has the problem
   What the actual vs expected values are
   What columns are involved
   How to fix the issue
   This makes debugging production issues very difficult. The enhanced error 
message provides all the necessary information to quickly identify and repair 
the corrupted view metadata.
   
   ### Does this PR introduce _any_ user-facing change?
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   Note that it means *any* user-facing change including all aspects such as 
new features, bug fixes, or other behavior changes. Documentation-only updates 
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   Yes. Users will now see a detailed error message instead of a generic 
assertion failure when encountering corrupted view metadata:
   
   Before:
   `assertion failed`
   
   After:
   `assertion failed: Corrupted view metadata detected for view 
spark_catalog.db.view_name. 
   The number of view query column names 2 does not match the number of columns 
in the view schema 3. 
   View query column names: [id, name], View schema columns: [id, name, value]. 
   This indicates corrupted view metadata that needs to be repaired.`
   
   
   ### How was this patch tested?
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   Added a new unit test corrupted view metadata: mismatch between 
viewQueryColumnNames and schema in SessionCatalogSuite.scala that:
   Creates a view with intentionally corrupted metadata (2 query column names 
but 3 schema columns)
   Verifies that looking up the view throws an AssertionError
   Validates the error message contains all expected details
   Existing tests continue to pass
   
   ### Was this patch authored or co-authored using generative AI tooling?
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   No


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