在python中对大型数据集进行多处理(查找重复项)

import threading

def find_duplicates(data):
    # 在这里编写查找重复项的逻辑
    pass

class MyThread(threading.Thread):
    def __init__(self, data):
        threading.Thread.__init__(self)
        self.data = data

    def run(self):
        find_duplicates(self.data)

def process_large_dataset(data, num_threads):
    chunk_size = len(data) // num_threads
    threads = []

    for i in range(num_threads):
        start = i * chunk_size
        end = start + chunk_size if i < num_threads - 1 else len(data)
        thread_data = data[start:end]
        thread = MyThread(thread_data)
        threads.append(thread)
        thread.start()

    for thread in threads:
        thread.join()

# 示例用法
data = [...]  # 大型数据集
num_threads = 4  # 线程数量
process_large_dataset(data, num_threads)

import multiprocessing

def find_duplicates(data):
    # 在这里编写查找重复项的逻辑
    pass

def process_large_dataset(data, num_processes):
    chunk_size = len(data) // num_processes
    processes = []

    for i in range(num_processes):
        start = i * chunk_size
        end = start + chunk_size if i < num_processes - 1 else len(data)
        process_data = data[start:end]
        process = multiprocessing.Process(target=find_duplicates, args=(process_data,))
        processes.append(process)
        process.start()

    for process in processes:
        process.join()

# 示例用法
data = [...]  # 大型数据集
num_processes = 4  # 进程数量
process_large_dataset(data, num_processes)