tomvanbussel commented on code in PR #38979:
URL: https://github.com/apache/spark/pull/38979#discussion_r1043433892
##########
python/pyspark/sql/connect/session.py:
##########
@@ -264,9 +294,67 @@ def createDataFrame(self, data: "pd.DataFrame") ->
"DataFrame":
"""
assert data is not None
- if len(data) == 0:
+ if isinstance(data, DataFrame):
+ raise TypeError("data is already a DataFrame")
+ if isinstance(data, Sized) and len(data) == 0:
raise ValueError("Input data cannot be empty")
- return DataFrame.withPlan(plan.LocalRelation(data), self)
+
+ struct: Optional[StructType] = None
+ column_names: List[str] = []
+
+ if isinstance(schema, StructType):
+ struct = schema
+ column_names = struct.names
+
+ elif isinstance(schema, str):
+ struct = _parse_datatype_string(schema) # type: ignore[assignment]
Review Comment:
I'm not sure if this can be used here, as `_parse_datatype_string`
internally calls into the JVM. I think we have to add a field to the
`LocalRelation` message to store the schema string instead, so that the driver
can parse it.
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