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# Licensed to the Apache Software Foundation (ASF) under one
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# 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
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# under the License.
"""Concurrency concepts that support efficient multi-threading."""
from concurrent.futures import Executor, ThreadPoolExecutor
from typing import Optional
from pyiceberg.utils.config import Config
class ExecutorFactory:
_instance: Optional[Executor] = None
@staticmethod
def get_or_create() -> Executor:
"""Return the same executor in each call."""
if ExecutorFactory._instance is None:
max_workers = ExecutorFactory.max_workers()
ExecutorFactory._instance = ThreadPoolExecutor(max_workers=max_workers)
return ExecutorFactory._instance
@staticmethod
def max_workers() -> Optional[int]:
"""Return the max number of workers configured."""
config = Config()
val = config.config.get("max-workers")
if val is None:
return None
try:
return int(val) # type: ignore
except ValueError as err:
raise ValueError(f"Max workers should be an integer or left unset. Current value: {val}") from err