python threading线程数

import threading
import time

name_list = [
    {"李四1": 1234556},
    {"李四2": 1234556},
    {"李四3": 1234556},
    {"李四4": 1234556},
    {"李四5": 1234556},
    {"李四6": 1234556},
    {"李四7": 1234556},
    {"李四8": 1234556},
    {"李四9": 1234556},
]

batch_size = len(name_list) // 3  # 计算每个批次的条数，这里我们选择将任务分为3个批次


def process_data(data):
    # 这里写处理数据的代码，例如打印数据
    for i in data:
        for name, value in i.items():
            print(f"Processing {name}: {value}")

    # 使用线程池并行执行每个批次的任务


threads = []
for i in range(batch_size):
    # 从name_list中提取当前批次的条目(列表切片)
    batch = name_list[i * batch_size:(i + 1) * batch_size]
    # 创建线程并提交给线程池执行
    thread = threading.Thread(target=process_data, args=(batch,))
    threads.append(thread)
    print('------------------------------')
    print(time.time())
    thread.start()

# 等待所有线程执行完毕
for thread in threads:
    thread.join()

 

案例：

import math
import random
import threading
import time
import random
import requests
import script_marketing.public.config_ini as rc
from public_new import *

api_code = rc.user_basic["ppdlk"]["apicode"]
app_key = rc.user_basic["ppdlk"]["appkeyDev"]  # Dev是预发
data_list = []
count = 10
max_workers = 3
for i in range(0,count):
        li = {
               "cell":'149' + str(random.randint(10000000,99999999)),
               "custNum":'zdh' + str(random.randint(1000000000,9999999900)),
               "name":"通标标准上传自动化",
               "id":"c295d9b8314b4bc2672c2921e6447da9",
               "registerDate":"",
               "reserveField1":{
                      "userType":'1',
                      "orgName":"通标标准上传自动化"
               }
        }
        data_list.append(li)

# 计算向上取余数，比如10条分成3个批次完成，那就是10/3=4
batch_size = math.ceil(len(data_list) / max_workers)

def process_data(data):
        # 这里写处理数据的代码，例如打印数据
        upload_json = {
               "requestId":createUuid(),
               "taskId":'zdhdd' + str(random.randint(10000000,99999999)),
               "dataItems":data
        }
        request_upload = getData(apicodes=api_code,appkeys=app_key,jsondata=upload_json)
        result = requests.post(url=rc.upload_url,json=request_upload,verify=False)
        print(result.text)


threads = []
for i in range(batch_size):
        # 从name_list中提取当前批次的条目(列表切片) 按照并发得数量切片max_workers
        batch = data_list[i * max_workers:(i + 1) * max_workers]
        # 创建线程并提交给线程池执行
        thread = threading.Thread(target=process_data,args=(batch,))
        threads.append(thread)
        time.sleep(5)

        print('------------------------------')
        print(time.time())
        thread.start()

# 等待所有线程执行完毕
for thread in threads:
        thread.join()

结果