kevinjqliu commented on issue #541:
URL: https://github.com/apache/iceberg-python/issues/541#issuecomment-2016890280

   Hey @dev-goyal, do you mind posting a snippet of your example above? I think 
this is very similar to #520
   
   In #520, the iceberg table is created with pyarrow schema. Internally, 
iceberg converts the schema and "downcast" certain types ([large_string -> 
string](https://github.com/apache/iceberg-python/blob/6989b92c2d449beb9fe4817c64f619ea5bfc81dc/pyiceberg/io/pyarrow.py#L880-L881),
 [timestamp nano -> 
timestamp](https://github.com/apache/iceberg-python/blob/6989b92c2d449beb9fe4817c64f619ea5bfc81dc/pyiceberg/io/pyarrow.py#L884-L885)).
   So when the pyarrow data (with the same schema) is saved as iceberg table, 
there is a schema mismatch. Iceberg schema is downcast/translated while pyarrow 
data schema is unchanged. 
   
   #523 should help solve this
   
   
    


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