rdblue commented on code in PR #41:
URL: https://github.com/apache/iceberg-python/pull/41#discussion_r1427431827
##########
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(
+ content=DataFileContent.DATA,
+ file_path=file_path,
+ file_format=FileFormat.PARQUET,
+ partition=Record(),
+ record_count=len(df),
+ file_size_in_bytes=len(fo),
+ # Just copy these from the table for now
+ sort_order_id=table.sort_order().order_id,
Review Comment:
This isn't the sort order of the table at the time the file was written, it
is the sort used to order files in the data file. If we can't guarantee that
the records are in this order we should not apply this metadata.
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