rdblue commented on code in PR #41:
URL: https://github.com/apache/iceberg-python/pull/41#discussion_r1451833666


##########
pyiceberg/io/pyarrow.py:
##########
@@ -1565,13 +1565,56 @@ def fill_parquet_file_metadata(
         del upper_bounds[field_id]
         del null_value_counts[field_id]
 
-    df.file_format = FileFormat.PARQUET
-    df.record_count = parquet_metadata.num_rows
-    df.file_size_in_bytes = file_size
-    df.column_sizes = column_sizes
-    df.value_counts = value_counts
-    df.null_value_counts = null_value_counts
-    df.nan_value_counts = nan_value_counts
-    df.lower_bounds = lower_bounds
-    df.upper_bounds = upper_bounds
-    df.split_offsets = split_offsets
+    data_file.record_count = parquet_metadata.num_rows
+    data_file.column_sizes = column_sizes
+    data_file.value_counts = value_counts
+    data_file.null_value_counts = null_value_counts
+    data_file.nan_value_counts = nan_value_counts
+    data_file.lower_bounds = lower_bounds
+    data_file.upper_bounds = upper_bounds
+    data_file.split_offsets = split_offsets
+
+
+def write_file(table: Table, tasks: Iterator[WriteTask]) -> Iterator[DataFile]:
+    task = next(tasks)
+
+    try:
+        _ = next(tasks)
+        # If there are more tasks, raise an exception
+        raise NotImplementedError("Only unpartitioned writes are supported: 
https://github.com/apache/iceberg-python/issues/208";)
+    except StopIteration:
+        pass
+
+    file_path = 
f'{table.location()}/data/{task.generate_datafile_filename("parquet")}'
+    file_schema = schema_to_pyarrow(table.schema())
+
+    collected_metrics: List[pq.FileMetaData] = []
+    fo = table.io.new_output(file_path)
+    with fo.create() as fos:

Review Comment:
   I think this should call `overwrite=True` to avoid the `exists` check in 
`create`.



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