spark-instrumented-optimizer/python/pyspark/sql/_typing.pyi

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#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from typing import (
Any,
List,
Optional,
Tuple,
TypeVar,
Union,
)
from typing_extensions import Protocol
import datetime
import decimal
from pyspark._typing import PrimitiveType
import pyspark.sql.column
import pyspark.sql.types
from pyspark.sql.column import Column
ColumnOrName = Union[pyspark.sql.column.Column, str]
DecimalLiteral = decimal.Decimal
DateTimeLiteral = Union[datetime.datetime, datetime.date]
LiteralType = PrimitiveType
AtomicDataTypeOrString = Union[pyspark.sql.types.AtomicType, str]
DataTypeOrString = Union[pyspark.sql.types.DataType, str]
OptionalPrimitiveType = Optional[PrimitiveType]
RowLike = TypeVar("RowLike", List[Any], Tuple[Any, ...], pyspark.sql.types.Row)
class SupportsOpen(Protocol):
def open(self, partition_id: int, epoch_id: int) -> bool: ...
class SupportsProcess(Protocol):
def process(self, row: pyspark.sql.types.Row) -> None: ...
class SupportsClose(Protocol):
def close(self, error: Exception) -> None: ...
class UserDefinedFunctionLike(Protocol):
def __call__(self, *_: ColumnOrName) -> Column: ...