gopidesupavan opened a new pull request, #62793:
URL: https://github.com/apache/airflow/pull/62793

   closes: https://github.com/apache/airflow/issues/62734
   
   Add a new operator for cross-system schema drift detection powered by LLM 
reasoning to the common.ai provider.
   
   LLMSchemaCompareOperator introspects schemas from multiple data sources 
(databases via DbApiHook, object storage via DataFusionEngine) and uses an LLM 
to identify mismatches that would break data loading. The LLM handles complex 
cross-system type mapping that simple equality checks miss (e.g., varchar(255) 
vs string, timestamp vs timestamptz).
   
   
   ```
   from airflow.sdk import dag
   import datetime
   
   @dag
   def example_llm_schema_compare():
   
       @task.llm_schema_compare(
           db_conn_ids=["postgres_default"],
           table_names=["customers", "secondory_customers"],
           llm_conn_id="llm_conn_id",
           model_id="google-gla:gemini-2.5-pro",
       )
       def compare_postgres_customer_tables(ds=None):
           return "Identify schema mismatches that would break data loading 
between systems"
   
       compare_postgres_customer_tables()
   
   example_llm_schema_compare()
   
   ``` 
   
   An example output view:
   
   ```
   {
     "summary": "The schemas are not compatible. The target table 
'secondory_customers' is missing the 'postal_code' column, and the 'address' 
column has a restrictive VARCHAR(255) type which can cause data truncation from 
the source TEXT type. Several other VARCHAR columns have different lengths but 
are compatible.",
     "compatible": false,
     "mismatches": [
       {
         "column": "postal_code",
         "source": "customers",
         "target": "secondory_customers",
         "severity": "critical",
         "description": "The column 'postal_code' is missing in the target 
table 'secondory_customers'.",
         "source_type": "VARCHAR(20)",
         "target_type": "Column not found",
         "migration_query": "ALTER TABLE secondory_customers ADD COLUMN 
postal_code VARCHAR(20);",
         "suggested_action": "Add the 'postal_code' column to the target table."
       },
       {
         "column": "address",
         "source": "customers",
         "target": "secondory_customers",
         "severity": "critical",
         "description": "The 'address' column type in the target is 
VARCHAR(255), which is more restrictive than the source type TEXT and can lead 
to data truncation.",
         "source_type": "TEXT",
         "target_type": "VARCHAR(255)",
         "migration_query": "ALTER TABLE secondory_customers ALTER COLUMN 
address TYPE TEXT;",
         "suggested_action": "Change the data type of the 'address' column in 
the target table to TEXT to match the source."
       },
       {
         "column": "customer_name",
         "source": "customers",
         "target": "secondory_customers",
         "severity": "info",
         "description": "The VARCHAR length for 'customer_name' differs, but 
the target type is larger, so it is compatible.",
         "source_type": "VARCHAR(100)",
         "target_type": "VARCHAR(255)",
         "migration_query": "Provide migration query",
         "suggested_action": "No action required, but for consistency you may 
want to align the varchar lengths."
       },
       {
         "column": "contact_name",
         "source": "customers",
         "target": "secondory_customers",
         "severity": "info",
         "description": "The VARCHAR length for 'contact_name' differs, but the 
target type is larger, so it is compatible.",
         "source_type": "VARCHAR(100)",
         "target_type": "VARCHAR(255)",
         "migration_query": "Provide migration query",
         "suggested_action": "No action required, but for consistency you may 
want to align the varchar lengths."
       },
       {
         "column": "city",
         "source": "customers",
         "target": "secondory_customers",
         "severity": "info",
         "description": "The VARCHAR length for 'city' differs, but the target 
type is larger, so it is compatible.",
         "source_type": "VARCHAR(50)",
         "target_type": "VARCHAR(100)",
         "migration_query": "Provide migration query",
         "suggested_action": "No action required, but for consistency you may 
want to align the varchar lengths."
       },
       {
         "column": "country",
         "source": "customers",
         "target": "secondory_customers",
         "severity": "info",
         "description": "The VARCHAR length for 'country' differs, but the 
target type is larger, so it is compatible.",
         "source_type": "VARCHAR(50)",
         "target_type": "VARCHAR(100)",
         "migration_query": "Provide migration query",
         "suggested_action": "No action required, but for consistency you may 
want to align the varchar lengths."
       }
     ]
   }
   
   ```
   
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