首先配置数据库连接池:
import pymysql
from DBUtils.PooledDB import PooledDB
POOL = PooledDB(
creator=pymysql, # 使用链接数据库的模块
maxconnections=6, # 连接池允许的最大连接数,0和None表示不限制连接数
mincached=2, # 初始化时,链接池中至少创建的空闲的链接,0表示不创建
maxcached=5, # 链接池中最多闲置的链接,0和None不限制
maxshared=3, # 链接池中最多共享的链接数量,0和None表示全部共享。PS: 无用,因为pymysql和MySQLdb等模块的 threadsafety都为1,所有值无论设置为多少,_maxcached永远为0,所以永远是所有链接都共享。
blocking=True, # 连接池中如果没有可用连接后,是否阻塞等待。True,等待;False,不等待然后报错
maxusage=None, # 一个链接最多被重复使用的次数,None表示无限制
setsession=[], # 开始会话前执行的命令列表。如:["set datestyle to ...", "set time zone ..."]
ping=0,
# ping MySQL服务端,检查是否服务可用。
# 如:0 = None = never,
# 1 = default = whenever it is requested,
# 2 = when a cursor is created,
# 4 = when a query is executed,
# 7 = always
host="127.0.0.1",
port=3306,
user="root",
password="",
charset="utf8",
db="day115"
)
实例化数据库连接池:并执行相关数据操作
from dbpool import POOL
import pymysql
def create_conn():
conn = POOL.connection()
cursor = conn.cursor(cursor=pymysql.cursors.DictCursor)
return conn,cursor
def close_conn(conn,cursor):
cursor.close()
conn.close()
def insert(sql,args):
conn,cursor = create_conn()
res = cursor.execute(sql,args)
conn.commit()
close_conn(conn,cursor)
return res
def fetch_one(sql,args):
conn,cursor = create_conn()
cursor.execute(sql,args)
res = cursor.fetchone()
close_conn(conn,cursor)
return res
def fetch_all(sql,args):
conn,cursor = create_conn()
cursor.execute(sql,args)
res = cursor.fetchall()
close_conn(conn,cursor)
return res
# sql = "insert into users(name,age) VALUES (%s, %s)"
# insert(sql,("mjj",9))
sql = "select * from users where name=%s and age=%s"
print(fetch_one(sql,("mjj",9)))