HyukjinKwon commented on code in PR #36893:
URL: https://github.com/apache/spark/pull/36893#discussion_r919529370
##########
python/pyspark/sql/session.py:
##########
@@ -1023,6 +1023,20 @@ def prepare(obj: Any) -> Any:
if isinstance(data, RDD):
rdd, struct = self._createFromRDD(data.map(prepare), schema,
samplingRatio)
+ elif isinstance(data, list) and schema is None:
+ # Wrap each element with a tuple if there is any scalar in the list
+
+ has_scalar = any(
+ isinstance(x, str)
+ or (
+ not isinstance(x, Sized)
Review Comment:
How does this work in case of nested types? e.g.,
`spark.createDataFrame([(1,), (2,)], schema='struct<a: int>')`. We should
probably check how the Scala side works, and match the behaviour.
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