[
https://issues.apache.org/jira/browse/SPARK-42235?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Donggu Kang updated SPARK-42235:
--------------------------------
Description:
The typing stub `site-packages/pyspark/sql/pandas/functions.pyi` has a list of
possible signatures of `pandas_udf`. It is missing a case
{code:java}
// code placeholder
{code}
{noformat}
// code placeholder
{noformat}
```
import pyspark.sql.functions as F
# PySpark3's typing stub error
@F.pandas_udf(
returnType=LongType()
)
def my_udf(dummy_col: pd.Series) -> pd.Series:
...
```
The stub defined `pandas_udf(f, returnType, functionType)` but not
`pandas_udf(f, returnType)`. The official documentation recommends using a
return type hint instead of `returnType`.
```py
# defined
@overload def pandas_udf( f: PandasScalarToScalarFunction, returnType:
Union[AtomicDataTypeOrString, ArrayType], functionType: PandasScalarUDFType, )
-> UserDefinedFunctionLike: ...
# not defined
@overload def pandas_udf( f: PandasScalarToScalarFunction, returnType:
Union[AtomicDataTypeOrString, ArrayType]) -> UserDefinedFunctionLike: ...
```
was:
The typing stub `site-packages/pyspark/sql/pandas/functions.pyi` has a list of
possible signatures of `pandas_udf`. It is missing a case
```
import pyspark.sql.functions as F
# PySpark3's typing stub error
@F.pandas_udf(
returnType=LongType()
)
def my_udf(dummy_col: pd.Series) -> pd.Series:
...
```
The stub defined `pandas_udf(f, returnType, functionType)` but not
`pandas_udf(f, returnType)`. The official documentation recommends using a
return type hint instead of `returnType`.
```py
# defined
@overload def pandas_udf( f: PandasScalarToScalarFunction, returnType:
Union[AtomicDataTypeOrString, ArrayType], functionType: PandasScalarUDFType, )
-> UserDefinedFunctionLike: ...
# not defined
@overload def pandas_udf( f: PandasScalarToScalarFunction, returnType:
Union[AtomicDataTypeOrString, ArrayType]) -> UserDefinedFunctionLike: ...
```
> Missing typing for pandas_udf
> -----------------------------
>
> Key: SPARK-42235
> URL: https://issues.apache.org/jira/browse/SPARK-42235
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 3.3.0
> Reporter: Donggu Kang
> Priority: Minor
>
> The typing stub `site-packages/pyspark/sql/pandas/functions.pyi` has a list
> of possible signatures of `pandas_udf`. It is missing a case
> {code:java}
> // code placeholder
> {code}
> {noformat}
> // code placeholder
> {noformat}
>
> ```
> import pyspark.sql.functions as F
> # PySpark3's typing stub error
> @F.pandas_udf(
> returnType=LongType()
> )
> def my_udf(dummy_col: pd.Series) -> pd.Series:
> ...
> ```
>
> The stub defined `pandas_udf(f, returnType, functionType)` but not
> `pandas_udf(f, returnType)`. The official documentation recommends using a
> return type hint instead of `returnType`.
>
> ```py
> # defined
> @overload def pandas_udf( f: PandasScalarToScalarFunction, returnType:
> Union[AtomicDataTypeOrString, ArrayType], functionType: PandasScalarUDFType,
> ) -> UserDefinedFunctionLike: ...
>
> # not defined
> @overload def pandas_udf( f: PandasScalarToScalarFunction, returnType:
> Union[AtomicDataTypeOrString, ArrayType]) -> UserDefinedFunctionLike: ...
> ```
>
>
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