HyukjinKwon commented on code in PR #43360:
URL: https://github.com/apache/spark/pull/43360#discussion_r1361857907
##########
python/pyspark/sql/readwriter.py:
##########
@@ -303,6 +330,40 @@ def load(
if schema is not None:
self.schema(schema)
self.options(**options)
+
+ # Load a Python data source
+ if isinstance(self._format, Callable): # type: ignore[arg-type]
+ # TODO(SPARK-45560): support load() with non-empty path.
+
+ # Create an instance of the data source.
+ data_source_cls = cast(Type[DataSource], self._format)
+ data_source = data_source_cls(self._options)
+
+ # Get schema of the data source
+ schema = self._schema or data_source.schema()
Review Comment:
This is a bit hacky. For example, if we run this in Spark Connect, the
schema inference would happen within Python Spark Connect client.
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