### What changes were proposed in this pull request? This PR proposes migration of [`pyspark-stubs`](https://github.com/zero323/pyspark-stubs) into Spark codebase. ### Why are the changes needed? ### Does this PR introduce _any_ user-facing change? Yes. This PR adds type annotations directly to Spark source. This can impact interaction with development tools for users, which haven't used `pyspark-stubs`. ### How was this patch tested? - [x] MyPy tests of the PySpark source ``` mypy --no-incremental --config python/mypy.ini python/pyspark ``` - [x] MyPy tests of Spark examples ``` MYPYPATH=python/ mypy --no-incremental --config python/mypy.ini examples/src/main/python/ml examples/src/main/python/sql examples/src/main/python/sql/streaming ``` - [x] Existing Flake8 linter - [x] Existing unit tests Tested against: - `mypy==0.790+dev.e959952d9001e9713d329a2f9b196705b028f894` - `mypy==0.782` Closes #29591 from zero323/SPARK-32681. Authored-by: zero323 <mszymkiewicz@gmail.com> Signed-off-by: HyukjinKwon <gurwls223@apache.org>
57 lines
2.1 KiB
Python
57 lines
2.1 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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from typing import Any, Callable, List, Optional, Tuple, Type
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import pstats
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from pyspark.accumulators import AccumulatorParam
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from pyspark.context import SparkContext
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class ProfilerCollector:
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profiler_cls: Type[Profiler]
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profile_dump_path: Optional[str]
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profilers: List[Tuple[int, Profiler, bool]]
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def __init__(
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self, profiler_cls: Type[Profiler], dump_path: Optional[str] = ...
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) -> None: ...
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def new_profiler(self, ctx: SparkContext) -> Profiler: ...
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def add_profiler(self, id: int, profiler: Profiler) -> None: ...
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def dump_profiles(self, path: str) -> None: ...
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def show_profiles(self) -> None: ...
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class Profiler:
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def __init__(self, ctx: SparkContext) -> None: ...
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def profile(self, func: Callable[[], Any]) -> None: ...
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def stats(self) -> pstats.Stats: ...
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def show(self, id: int) -> None: ...
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def dump(self, id: int, path: str) -> None: ...
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class PStatsParam(AccumulatorParam):
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@staticmethod
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def zero(value: pstats.Stats) -> None: ...
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@staticmethod
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def addInPlace(
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value1: Optional[pstats.Stats], value2: Optional[pstats.Stats]
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) -> Optional[pstats.Stats]: ...
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class BasicProfiler(Profiler):
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def __init__(self, ctx: SparkContext) -> None: ...
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def profile(self, func: Callable[[], Any]) -> None: ...
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def stats(self) -> pstats.Stats: ...
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