rdblue commented on code in PR #41:
URL: https://github.com/apache/iceberg-python/pull/41#discussion_r1427433153
##########
pyiceberg/io/pyarrow.py:
##########
@@ -1565,13 +1564,54 @@ 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
+
+
+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 ValueError("Only unpartitioned writes are supported:
https://github.com/apache/iceberg-python/issues/208";)
+ except StopIteration:
+ pass
+
+ df = task.df
+
+ file_path =
f'{table.location()}/data/{_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:
+ with pq.ParquetWriter(fos, schema=file_schema, version="1.0",
metadata_collector=collected_metrics) as writer:
+ writer.write_table(df)
+
+ df = DataFile(
Review Comment:
It's confusing that `df` is used for both the input dataframe and the output
data file.
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