ChenLinL opened a new issue #3306:
URL: https://github.com/apache/iceberg/issues/3306


   As we know, when we delete a column with Spark SQL, a new schema will be 
created with a unique incremental shcema-id. Even though we add a new column 
with the same name as the deleting one, the schema will be a new one, and we 
cannot see the column data that has been writing to the old schema. How could 
we fall back to the previous schema or recall this deleting approach?


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