syun64 commented on code in PR #350:
URL: https://github.com/apache/iceberg-python/pull/350#discussion_r1475054618
##########
pyiceberg/table/__init__.py:
##########
@@ -946,10 +946,13 @@ def append(self, df: pa.Table) -> None:
if len(self.sort_order().fields) > 0:
raise ValueError("Cannot write to tables with a sort-order")
- data_files = _dataframe_to_data_files(self, df=df)
merge = _MergingSnapshotProducer(operation=Operation.APPEND,
table=self)
- for data_file in data_files:
- merge.append_data_file(data_file)
+
+ # skip writing data files if the dataframe is empty
Review Comment:
Yeah interestingly that's the current behavior with spark:
where df is empty
```
df.writeTo("iceberg.test.empty").append()
rows = spark.sql(
f"""
SELECT operation, summary
FROM iceberg.test.empty.snapshots
ORDER BY committed_at ASC
"""
).collect()
rows
[Row(operation='append', summary={'spark.app.id':
'spark-application-1706807907810', 'changed-partition-count': '0',
'total-equality-deletes': '0', 'total-position-deletes': '0',
'total-delete-files': '0', 'total-files-size': '0', 'total-records': '0',
'total-data-files': '0'})]
```
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