python环境测试MySQLdb、DBUtil、sqlobject性能
首先介绍下MySQLdb、DBUtil、sqlobject:
(1)MySQLdb是用于Python连接Mysql数据库的接口,它实现了Python数据库
API规范V2.0,基于MySQLCAPI上建立的。除了MySQLdb外,python还可以通过oursql,PyMySQL,myconnpy等模块实现MySQL数据库操作;
(2)DBUtil中提供了几种连接池,用以提高数据库的访问性能,例如PooledDB,PesistentDB等
(3)sqlobject可以实现数据库ORM映射的第三方模块,可以以对象、实例的方式轻松操作数据库中记录。
为测试这三者的性能,简单做一个例子:50个并发访问4000条记录的单表,数据库记录如下:
测试代码如下:
1、MySQLdb的代码如下,其中在connDB()中把连接池相关代码暂时做了一个注释,去掉这个注释既可以使用连接池来创建数据库连接:
(1)DBOperator.py
02 | from stockmining.stocks.setting import LoggerFactory |
05 | class DBOperator( object ): |
08 | self .logger = LoggerFactory.getLogger( 'DBOperator' ) |
12 | self .conn = MySQLdb.connect(host = "127.0.0.1" ,user = "root" ,passwd = "root" ,db = "pystock" ,port = 3307 ,charset = "utf8" ) |
14 | #self.conn=connectionpool.pool.connection() |
24 | cursor = self .conn.cursor() |
26 | raise MySQLdb.Error( 'Noconnection' ) |
31 | self .logger.error( "MysqlError%d:%s" % (e.args[ 0 ],e.args[ 1 ])) |
33 | def findBySQL( self ,sql): |
36 | cursor = self .conn.cursor() |
38 | raise MySQLdb.Error( 'Noconnection' ) |
44 | self .logger.error( "MysqlError%d:%s" % (e.args[ 0 ],e.args[ 1 ])) |
(2)测试代码testMysql.py,做了50个并发,对获取到的数据库记录做了个简单遍历。
09 | sql = "select*fromstock_cash_tencent" |
10 | peeps = operator.findBySQL(sql) |
14 | diff = (endtime - starttime) * 1000 |
19 | threading.Thread(target = run).start() |
22 | if __name__ = = '__main__' : |
2、连接池相关代码:
(1)connectionpool.py
01 | from DBUtils import PooledDB |
09 | connstring = "root#root#127.0.0.1#3307#pystock#utf8" #数据库地址 |
12 | def createConnectionPool(connstring,dbtype): |
13 | db_conn = connstring.split( "#" ); |
16 | pool = PooledDB.PooledDB(MySQLdb,user = db_conn[ 0 ],passwd = db_conn[ 1 ],host = db_conn[ 2 ],port = string.atoi(db_conn[ 3 ]),db = db_conn[ 4 ],charset = db_conn[ 5 ],mincached = mincached,maxcached = maxcached,maxshared = maxshared,maxconnections = maxconn) |
19 | raise Exception, 'conndatasourceExcepts,%s!!!(%s).' % (db_conn[ 2 ], str (e)) |
23 | pool = createConnectionPool(connstring,dbtype) |
3、sqlobject相关代码
(1)connection.py
1 | from sqlobject.mysql import builder |
3 | conn = builder()(user = 'root' ,password = 'root' , |
4 | host = '127.0.0.1' ,db = 'pystock' ,port = 3307 ,charset = 'utf8' ) |
(2)StockCashTencent.py对应到数据库中的表,50个并发并作了一个简单的遍历。(实际上,如果不做遍历,只做count()计算,sqlobject性能是相当高的。)
03 | from connection import conn |
06 | class StockCashTencent(sqlobject.SQLObject): |
09 | code = sqlobject.StringCol() |
10 | name = sqlobject.StringCol() |
11 | date = sqlobject.StringCol() |
12 | main_in_cash = sqlobject.FloatCol() |
13 | main_out_cash = sqlobject.FloatCol() |
14 | main_net_cash = sqlobject.FloatCol() |
15 | main_net_rate = sqlobject.FloatCol() |
16 | private_in_cash = sqlobject.FloatCol() |
17 | private_out_cash = sqlobject.FloatCol() |
18 | private_net_cash = sqlobject.FloatCol() |
19 | private_net_rate = sqlobject.FloatCol() |
20 | total_cash = sqlobject.FloatCol() |
24 | query = StockCashTencent.select( True ) |
27 | diff = (endtime - starttime) * 1000 |
30 | if __name__ = = '__main__' : |
32 | threading.Thread(target = test).start() |
测试结果如下:
MySQLdb平均(毫秒) | 99.63999271 |
DBUtil平均(毫秒) | 97.07998276 |
sqlobject平均(毫秒) | 343.2999897 |
结论:其实就测试数据而言,MySQLdb单连接和DBUtil连接池的性能并没有很大的区别(100个并发下也相差无几),相反sqlobject虽然具有的编程上的便利性,但是却带来性能上的巨大不足,在实际中使用哪个模块就要斟酌而定了。