kevinjqliu commented on code in PR #590:
URL: https://github.com/apache/iceberg-python/pull/590#discussion_r1564828814
##########
pyiceberg/io/pyarrow.py:
##########
@@ -1769,27 +1769,33 @@ def data_file_statistics_from_parquet_metadata(
def write_file(io: FileIO, table_metadata: TableMetadata, tasks:
Iterator[WriteTask]) -> Iterator[DataFile]:
- schema = table_metadata.schema()
- arrow_file_schema = schema.as_arrow()
parquet_writer_kwargs =
_get_parquet_writer_kwargs(table_metadata.properties)
-
row_group_size = PropertyUtil.property_as_int(
properties=table_metadata.properties,
property_name=TableProperties.PARQUET_ROW_GROUP_SIZE_BYTES,
default=TableProperties.PARQUET_ROW_GROUP_SIZE_BYTES_DEFAULT,
)
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)
+ else:
+ file_schema = table_schema
Review Comment:
@Fokko wdyt of this? only used the transformed schema when necessary
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