importmysql.connectorfrommysql.connectorimportpooling# 创建连接池dbconfig={"database":"your_database","user":"your_username","password":"your_password","host":"localhost",}connection_pool=pooling.MySQLConnectionPool(pool_name="mypool",pool_size=5,**dbconfig)defget_data(query):try:# 从连接池...
因为已经真的关闭了连接(pool.steady_connection()可以获取一个新的链接) threadlocal=local, # 如果为none,用默认的threading.Loacl对象,否则可以自己封装一个local对象进行替换 host='127.0.0.1', port=3306, user='root', password='root', database='pooldb', charset='utf8' ) def func(): conn=POOL....
connector import pooling # 创建数据库连接池 pool = mysql.connector.pooling.MySQLConnectionPool(pool_name='my_pool', pool_size=5, host='localhost', user='your_username', password='your_password', database='your_database') # 从连接池中获取连接 conn = pool.get_connection() # 执行数据库操作...
error)finally: # closing database connection. # use the closeall() method to close all...
"database": "test", "user": "joe" } cnxpool = mysql.connector.pooling.MySQLConnectionPool(pool_name = "mypool", pool_size = 3, **dbconfig) To request a connection from the pool, use itsget_connection()method: cnx1 = cnxpool.get_connection() ...
To create a connection pool explicitly: Create a MySQLConnectionPool object (see Section 10.3, “pooling.MySQLConnectionPool Class”): dbconfig = { "database": "test", "user": "joe" } cnxpool = mysql.connector.pooling.MySQLConnectionPool(pool_name = "mypool", pool_size = 3, **db...
As you know, creating a PostgreSQL database connection is expensive, i.e., it is a resource-heavy and time-consuming process. Using Connection Pooling, we canreduce the request and response timeof database-centric applications in Python. Let see how to implement the connection pool in Python...
"user" : "root", "password" : "", "database" : "demo" } try: pool = mysql.connector.pooling.MySQLConnectionPool( **config, pool_size = 10 ) con = pool.get_connection() con.start_transaction() cursor = con.cursor() sql = "UPDATE t_emp set sal = sal + %s where deptno = ...
Connection Pooling ,数据库连接池 Dialect,选择连接数据库的DB API种类,(pymysql,mysqldb等) Schema/Types,架构和类型 SQL Exprression Language,SQL表达式语言 DB API: Python Database API Specification 2.1 执行原生sql 安装:pip install sqlalchemy SQLAlchmy也可以不利用ORM,使用数据库连接池,类似pymysql模块执行...
def__init__(self,dbconfig):self.db_config=dbconfigself.connection_pool=pooling.MySQLConnectionPool...