使用python多进程、多线程、协程向mysql插入10000条数据

使用futures的ProcessPoolExecutor进程池

import pymysql
import time, requests
from concurrent.futures import ProcessPoolExecutor


def data_handler(urls):
    conn = pymysql.connect(host='172.18.3.204',user='root',password='xinwei',database='btree',charset='utf8')
    cursor = conn.cursor()
    for i in range(urls[0],urls[1]):
        sql = 'insert into aaa(sid,name,email) values(%s,%s,concat(%s,"hael","@163"));'
        res = cursor.execute(sql,[i,"root",i])
        conn.commit()
    cursor.close()
    conn.close()


def run():
    urls = [(1,2000),(2001,5000),(5001,8000),(8001,10000)]
    with ProcessPoolExecutor() as excute:
        excute.map(data_handler,urls)  ##ProcessPoolExecutor 提供的map函数，可以直接接受可迭代的参数，并且结果可以直接for循环取出


if __name__ == '__main__':
    start_time = time.time()
    run()
    stop_time = time.time()
    print('run time is %s' % (stop_time - start_time))

使用协程gevent执行

from gevent import monkey;monkey.patch_all()
import gevent
import requests
import time
import pymysql


def data_handler(anum,num):
    conn = pymysql.connect(host='172.18.3.204',user='root',password='xinwei',database='btree',charset='utf8')
    cursor = conn.cursor()
    for i in range(anum,num):
        sql = 'insert into aaa(sid,name,email) values(%s,%s,concat(%s,"hael","@163"));'
        res = cursor.execute(sql,[i,"root",i])
        conn.commit()
    cursor.close()
    conn.close()

start_time=time.time()

gevent.joinall([
    gevent.spawn(data_handler,1,2000),
    gevent.spawn(data_handler,2001,5000),
    gevent.spawn(data_handler,5001,8000),
    gevent.spawn(data_handler,8001,10000),
])


stop_time=time.time()
print('run time is %s' %(stop_time-start_time))