zhengruifeng commented on code in PR #42798:
URL: https://github.com/apache/spark/pull/42798#discussion_r1315417026
##########
python/pyspark/pandas/groupby.py:
##########
@@ -3534,7 +3534,12 @@ def _reduce_for_stat_function(
for label in psdf._internal.column_labels:
psser = psdf._psser_for(label)
input_scol = psser._dtype_op.nan_to_null(psser).spark.column
- output_scol = sfun(input_scol)
+ if sfun.__name__ == "sum" and isinstance(
+ psdf._internal.spark_type_for(label), StringType
+ ):
+ output_scol = F.concat_ws("", F.collect_list(input_scol))
Review Comment:
since string columns are computed together with numerical ones, I think we
have to compute strings' sum in an aggregation way:
```
F.concat_ws("", F.array_sort(
F.collect_list(F.struct(NATURAL_ORDER_COLUMN_NAME, input_scol))
)
```
For struct type, array_sort sort elements by first field then second field,
IIRC
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