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[SPARK-50881] Use cached schema instead of deep copying in dataframe.py #49734

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[SPARK-50881] Use cached schema instead of deep copying in dataframe.py #49734

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7 changes: 6 additions & 1 deletion python/pyspark/sql/connect/dataframe.py
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Original file line number Diff line number Diff line change
Expand Up @@ -274,7 +274,7 @@ def dtypes(self) -> List[Tuple[str, str]]:

@property
def columns(self) -> List[str]:
return self.schema.names
return copy.deepcopy(self._original_schema.names)

@property
def sparkSession(self) -> "SparkSession":
Expand Down Expand Up @@ -1988,6 +1988,11 @@ def registerTempTable(self, name: str) -> None:
warnings.warn("Deprecated in 2.0, use createOrReplaceTempView instead.", FutureWarning)
self.createOrReplaceTempView(name)

def _original_schema(self) -> StructType:
if self._cached_schema:
return self._cached_schema
return self.schema

def _map_partitions(
self,
func: "PandasMapIterFunction",
Expand Down