发布时间:2020-05-07 14:41:29编辑:admin阅读(2843)
aiomysql是一个从asyncio(PEP-3156/tulip)框架访问MySQL数据库的库。它依赖并重用PyMySQL的大部分部分。aiomysql试图成为一个很棒的aiopg库,并保留相同的api、外观和感觉。
在内部aimysql是PyMySQL的副本,底层io调用切换到async,基本上是等待并在适当的位置添加async def coroutine。从aiopg移植的sqlalchemy支持。
pip3 install aiomysql
import asyncio import aiomysql loop = asyncio.get_event_loop() async def test_example(): conn = await aiomysql.connect(host='127.0.0.1', port=3306, user='root', password='', db='mysql', loop=loop) cur = await conn.cursor() await cur.execute("SELECT Host,User FROM user") print(cur.description) r = await cur.fetchall() print(r) await cur.close() conn.close() loop.run_until_complete(test_example())
操作系统:centos 7.6
mysql版本:5.7
数据库名:test
数据库默认编码:utf8mb4
具体表结构以及数据,请参考链接:
https://www.cnblogs.com/xiao987334176/p/12721498.html
这里面有2个表
执行select和update
#!/usr/bin/env python3 # coding: utf-8 """ mysql 异步版本 """ import traceback import logging import aiomysql import asyncio import time logobj = logging.getLogger('mysql') class Pmysql: def __init__(self): self.coon = None self.pool = None async def initpool(self): try: logobj.debug("will connect mysql~") __pool = await aiomysql.create_pool( minsize=5, # 连接池最小值 maxsize=10, # 连接池最大值 host='192.168.31.230', port=3306, user='root', password='abcd1234', db='test', autocommit=True, # 自动提交模式 ) return __pool except: logobj.error('connect error.', exc_info=True) async def getCurosr(self): conn = await self.pool.acquire() # 返回字典格式 cur = await conn.cursor(aiomysql.DictCursor) return conn, cur async def query(self, query, param=None): """ 查询操作 :param query: sql语句 :param param: 参数 :return: """ conn, cur = await self.getCurosr() try: await cur.execute(query, param) return await cur.fetchall() except: logobj.error(traceback.format_exc()) finally: if cur: await cur.close() # 释放掉conn,将连接放回到连接池中 await self.pool.release(conn) async def execute(self, query, param=None): """ 增删改 操作 :param query: sql语句 :param param: 参数 :return: """ conn, cur = await self.getCurosr() try: await cur.execute(query, param) if cur.rowcount == 0: return False else: return True except: logobj.error(traceback.format_exc()) finally: if cur: await cur.close() # 释放掉conn,将连接放回到连接池中 await self.pool.release(conn) async def getAmysqlobj(): mysqlobj = Pmysql() pool = await mysqlobj.initpool() mysqlobj.pool = pool return mysqlobj async def test_select(): mysqlobj = await getAmysqlobj() # UPDATE `youku`.`person` SET `psName` = '张三丰' WHERE (`id` = '3'); exeRtn = await mysqlobj.query("select * from users") # print("查询结果",exeRtn) return exeRtn async def test_update(): mysqlobj = await getAmysqlobj() # UPDATE `youku`.`person` SET `psName` = '张三丰' WHERE (`id` = '3'); exeRtn = await mysqlobj.execute("update users set username='xiao1' where id='1'") # print("exeRtn", exeRtn, type(exeRtn)) if exeRtn: # print('操作成功') return '操作成功' else: # print('操作失败') return '操作失败' async def main(): # 调用方 tasks = [test_select(), test_update()] # 把所有任务添加到task中 done, pending = await asyncio.wait(tasks) # 子生成器 for r in done: # done和pending都是一个任务,所以返回结果需要逐个调用result() # print('协程无序返回值:'+r.result()) print(r.result()) if __name__ == '__main__': start = time.time() loop = asyncio.get_event_loop() # 创建一个事件循环对象loop try: loop.run_until_complete(main()) # 完成事件循环,直到最后一个任务结束 finally: loop.close() # 结束事件循环 print('所有IO任务总耗时%.5f秒' % float(time.time() - start))
执行输出:
操作成功 [{'id': 1, 'username': 'xiao', 'password': '123', 'phone': '12345678910', 'email': '123@qq.com', 'create_time': datetime.datetime(2020, 4, 10, 1, 22, 7)}] 所有IO任务总耗时0.03948秒
批量插入使用executemany
插入3万条数据
#!/usr/bin/env python3 # coding: utf-8 import time import asyncio import aiomysql start = time.time() loop = asyncio.get_event_loop() async def test_example(): conn = await aiomysql.connect(host='192.168.31.230', port=3306, user='root', password='abcd1234', db='test', loop=loop) # create default cursor cursor = await conn.cursor() # execute sql query data = [] for i in range(1,30000): data.append(('xiao%s'%i, '123', '12345678910', '123@qq.com', '2020-04-10 01:22:07'),) stmt = "INSERT INTO users (username,password,phone,email,create_time) VALUES(%s,%s,%s,%s,%s);" await cursor.executemany(stmt, data) await conn.commit() # detach cursor from connection await cursor.close() # close connection conn.close() loop.run_until_complete(test_example()) print('所有IO任务总耗时%.5f秒' % float(time.time() - start))
执行输出:
所有IO任务总耗时11.96885秒
本文参考链接:
https://www.cnblogs.com/ygy1997/p/11753335.html
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