uros-b commented on code in PR #58418:
URL: https://github.com/apache/spark/pull/58418#discussion_r3924737801
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python/pyspark/sql/classic/dataframe.py:
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@@ -506,13 +507,28 @@ def _converter(parameter: Union[str, list, float, int,
Column]) -> Any:
def count(self) -> int:
return int(self._jdf.count())
+ def _check_timestamp_nanos_map_key(self) -> None:
Review Comment:
The Python-side `TIMESTAMP_NANOS_PYTHON_MAP_KEY` fills `{"type":
self.schema.simpleString()}` (the whole DataFrame schema) while the message
reads "Cannot convert a map with `<type>` keys...", so it renders e.g. "a map
with struct<m:map<timestamp_ntz(9),int>> keys"; the JVM twin
(`EvaluatePython.toJava`) passes just `mt.keyType.sql`. Pass the offending key
type (or reword) for an accurate, consistent message.
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