HyukjinKwon commented on code in PR #41867:
URL: https://github.com/apache/spark/pull/41867#discussion_r1257915251
##########
python/pyspark/sql/udtf.py:
##########
@@ -39,15 +42,98 @@ def _create_udtf(
cls: Type,
returnType: Union[StructType, str],
name: Optional[str] = None,
+ evalType: int = PythonEvalType.SQL_TABLE_UDF,
deterministic: bool = True,
) -> "UserDefinedTableFunction":
- """Create a Python UDTF."""
+ """Create a Python UDTF with the given eval type."""
udtf_obj = UserDefinedTableFunction(
- cls, returnType=returnType, name=name, deterministic=deterministic
+ cls, returnType=returnType, name=name, evalType=evalType,
deterministic=deterministic
)
+
return udtf_obj
+def _create_py_udtf(
+ cls: Type,
+ returnType: Union[StructType, str],
+ name: Optional[str] = None,
+ deterministic: bool = True,
+ useArrow: Optional[bool] = None,
+) -> "UserDefinedTableFunction":
+ """Create a regular or an Arrow-optimized Python UDTF."""
+ # Determine whether to create Arrow-optimized UDTFs.
+ if useArrow is not None:
+ arrow_enabled = useArrow
+ else:
+ from pyspark.sql import SparkSession
+
+ session = SparkSession._instantiatedSession
+ arrow_enabled = (
+ session.conf.get("spark.sql.execution.pythonUDTF.arrow.enabled")
== "true"
+ if session is not None
+ else True
+ )
+
+ # Create a regular Python UDTF and check for invalid handler class.
+ regular_udtf = _create_udtf(cls, returnType, name,
PythonEvalType.SQL_TABLE_UDF, deterministic)
Review Comment:
Ah, okie. It's consistent with pandas UDF. Let's fix them in a separate PR
together then.
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