corleyma commented on code in PR #786:
URL: https://github.com/apache/iceberg-python/pull/786#discussion_r1637425676


##########
pyiceberg/io/pyarrow.py:
##########
@@ -1795,15 +1873,19 @@ def write_file(io: FileIO, table_metadata: 
TableMetadata, tasks: Iterator[WriteT
 
     def write_parquet(task: WriteTask) -> DataFile:
         table_schema = task.schema
-        arrow_table = pa.Table.from_batches(task.record_batches)
+
         # if schema needs to be transformed, use the transformed schema and 
adjust the arrow table accordingly
         # otherwise use the original schema
         if (sanitized_schema := sanitize_column_names(table_schema)) != 
table_schema:
             file_schema = sanitized_schema
-            arrow_table = to_requested_schema(requested_schema=file_schema, 
file_schema=table_schema, table=arrow_table)
+            batches = [
+                to_requested_schema(requested_schema=file_schema, 
file_schema=table_schema, batch=batch)
+                for batch in task.record_batches
+            ]
         else:
             file_schema = table_schema
-
+            batches = task.record_batches
+        arrow_table = pa.Table.from_batches(batches)

Review Comment:
   i.e., maybe we could do something like the following?:
   ```python
       # Check if schema needs to be transformed
       sanitized_schema = sanitize_column_names(table_schema)
       needs_sanitization = sanitized_schema != table_schema
   
       file_path = 
f'{table_metadata.location}/data/{task.generate_data_file_path("parquet")}'
       fo = io.new_output(file_path)
       
       with fo.create(overwrite=True) as fos:
           with pq.ParquetWriter(fos, schema=sanitized_schema.as_arrow(), 
**parquet_writer_kwargs) as writer:
               for batch in task.record_batches:
                   if needs_sanitization:
                       sanitized_batch = to_requested_schema(
                           requested_schema=sanitized_schema, 
file_schema=table_schema, batch=batch
                       )
                   else:
                       sanitized_batch = batch
                   writer.write_table(pa.Table.from_batches([sanitized_batch]), 
row_group_size=row_group_size)
    ```



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