Re: [PR] [SPARK-46654][SQL][Python] Make `to_csv` explicitly indicate that it does not support some types of data [spark]

["panbingkun (via GitHub)" <gi...@apache.org>]

panbingkun commented on code in PR #44665:
URL: https://github.com/apache/spark/pull/44665#discussion_r1519249360


##########
python/pyspark/sql/functions/builtin.py:
##########
@@ -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 have updated the document `sql-migration-guide.md`.



-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org


---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org