MaxGekk commented on code in PR #44665:
URL: https://github.com/apache/spark/pull/44665#discussion_r1520694548
##########
python/pyspark/sql/functions/builtin.py:
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@@ -15534,19 +15532,7 @@ def to_csv(col: "ColumnOrName", options:
Optional[Dict[str, str]] = None) -> Col
| 2,Alice|
+-------------+
- Example 2: Converting a complex StructType to a CSV string
-
- >>> from pyspark.sql import Row, functions as sf
- >>> data = [(1, Row(age=2, name='Alice', scores=[100, 200, 300]))]
- >>> df = spark.createDataFrame(data, ("key", "value"))
- >>> df.select(sf.to_csv(df.value)).show(truncate=False) # doctest: +SKIP
- +-----------------------+
- |to_csv(value) |
- +-----------------------+
- |2,Alice,"[100,200,300]"|
Review Comment:
> I think we should simply disallow this. We could have a legacy conf, but
it doesn't much make sense. What does it return for ArrayType and MapType?
@HyukjinKwon See what it does return for `ArrayType` in the example. I doubt
that we should simply disallow it w/o any legacy config at least.
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