blob: 7f35cb629b36dd50189f00d2c86479208bfc7cee [file] [log] [blame]
#
# 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 TypeVar, TYPE_CHECKING, Iterator, Iterable
if TYPE_CHECKING:
from pyspark._typing import SizedIterable
__all__ = ["ResultIterable"]
T = TypeVar("T")
class ResultIterable(Iterable[T]):
"""
A special result iterable. This is used because the standard
iterator can not be pickled
"""
def __init__(self, data: "SizedIterable[T]"):
self.data: "SizedIterable[T]" = data
self.index: int = 0
self.maxindex: int = len(data)
def __iter__(self) -> Iterator[T]:
return iter(self.data)
def __len__(self) -> int:
return len(self.data)