HyukjinKwon commented on code in PR #43798:
URL: https://github.com/apache/spark/pull/43798#discussion_r1393546849
##########
python/pyspark/sql/readwriter.py:
##########
@@ -1936,7 +1936,23 @@ def parquet(
if partitionBy is not None:
self.partitionBy(partitionBy)
self._set_opts(compression=compression)
- self._jwrite.parquet(path)
+ if self._df.isEmpty() is True and partitionBy is not None:
+ self._write_empty_partition(path, partitionBy)
+ else:
+ self._jwrite.parquet(path)
+
+ @overload
+ def _write_empty_partition(self, path: str, partitionBy: str) -> None:
+ ...
+
+ @overload
+ def _write_empty_partition(self, path: str, partitionBy: List[str]) ->
None:
+ ...
+
+ def _write_empty_partition(self, path: str, partitionBy: Union[str,
List[str]]) -> None:
+ temp_row_data = {col: None for col in partitionBy} if
isinstance(partitionBy, list) else {partitionBy: None}
+ temp_df =
self._df.sparkSession.createDataFrame([Row(**temp_row_data)])
+
temp_df.write.mode("overwrite").partitionBy(partitionBy).parquet(path)
Review Comment:
Does this work with Scala API too?
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