前提:每种表类型准备了200万条相同的数据。
表一 InnoDB & PARTITION BY RANGE (id)
CREATE TABLE `customer_innodb_id` ( `id` int(11) NOT NULL, `email` varchar(64) NOT NULL, `name` varchar(32) NOT NULL, `password` varchar(32) NOT NULL, `phone` varchar(13) DEFAULT NULL, `birth` date DEFAULT NULL, `sex` int(1) DEFAULT NULL, `avatar` blob, `address` varchar(64) DEFAULT NULL, `regtime` datetime DEFAULT NULL, `lastip` varchar(15) DEFAULT NULL, `modifytime` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 /*!50100 PARTITION BY RANGE (id) (PARTITION p0 VALUES LESS THAN (100000) ENGINE = InnoDB, PARTITION p1 VALUES LESS THAN (500000) ENGINE = InnoDB, PARTITION p2 VALUES LESS THAN (1000000) ENGINE = InnoDB, PARTITION p3 VALUES LESS THAN (1500000) ENGINE = InnoDB, PARTITION p4 VALUES LESS THAN (2000000) ENGINE = InnoDB, PARTITION p5 VALUES LESS THAN MAXVALUE ENGINE = InnoDB) */;
查询结果:
mysql> select count(*) from customer_innodb_id where id > 50000 and id < 500000; +----------+ | count(*) | +----------+ | 449999 | +----------+ 1 row in set (1.19 sec) mysql> select count(*) from customer_innodb_id where id > 50000 and id < 500000; +----------+ | count(*) | +----------+ | 449999 | +----------+ 1 row in set (0.28 sec) mysql> select count(*) from customer_innodb_id where regtime > '1995-01-01 00:00 :00' and regtime < '1996-01-01 00:00:00'; +----------+ | count(*) | +----------+ | 199349 | +----------+ 1 row in set (4.74 sec) mysql> select count(*) from customer_innodb_id where regtime > '1995-01-01 00:00 :00' and regtime < '1996-01-01 00:00:00'; +----------+ | count(*) | +----------+ | 199349 | +----------+ 1 row in set (5.28 sec)
表二 InnoDB & PARTITION BY RANGE (year)
CREATE TABLE `customer_innodb_year` ( `id` int(11) NOT NULL, `email` varchar(64) NOT NULL, `name` varchar(32) NOT NULL, `password` varchar(32) NOT NULL, `phone` varchar(13) DEFAULT NULL, `birth` date DEFAULT NULL, `sex` int(1) DEFAULT NULL, `avatar` blob, `address` varchar(64) DEFAULT NULL, `regtime` datetime NOT NULL DEFAULT '0000-00-00 00:00:00', `lastip` varchar(15) DEFAULT NULL, `modifytime` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, PRIMARY KEY (`id`,`regtime`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 /*!50100 PARTITION BY RANGE (YEAR(regtime )) (PARTITION p0 VALUES LESS THAN (1996) ENGINE = InnoDB, PARTITION p1 VALUES LESS THAN (1997) ENGINE = InnoDB, PARTITION p2 VALUES LESS THAN (1998) ENGINE = InnoDB, PARTITION p3 VALUES LESS THAN (1999) ENGINE = InnoDB, PARTITION p4 VALUES LESS THAN (2000) ENGINE = InnoDB, PARTITION p5 VALUES LESS THAN (2001) ENGINE = InnoDB, PARTITION p6 VALUES LESS THAN (2002) ENGINE = InnoDB, PARTITION p7 VALUES LESS THAN (2003) ENGINE = InnoDB, PARTITION p8 VALUES LESS THAN (2004) ENGINE = InnoDB, PARTITION p9 VALUES LESS THAN (2005) ENGINE = InnoDB, PARTITION p10 VALUES LESS THAN (2006) ENGINE = InnoDB, PARTITION p11 VALUES LESS THAN (2007) ENGINE = InnoDB, PARTITION p12 VALUES LESS THAN (2008) ENGINE = InnoDB, PARTITION p13 VALUES LESS THAN (2009) ENGINE = InnoDB, PARTITION p14 VALUES LESS THAN (2010) ENGINE = InnoDB, PARTITION p15 VALUES LESS THAN (2011) ENGINE = InnoDB, PARTITION p16 VALUES LESS THAN (2012) ENGINE = InnoDB, PARTITION p17 VALUES LESS THAN (2013) ENGINE = InnoDB, PARTITION p18 VALUES LESS THAN (2014) ENGINE = InnoDB, PARTITION p19 VALUES LESS THAN MAXVALUE ENGINE = InnoDB) */;
查询结果:
mysql> select count(*) from customer_innodb_year where id > 50000 and id < 50000 0; +----------+ | count(*) | +----------+ | 449999 | +----------+ 1 row in set (5.31 sec) mysql> select count(*) from customer_innodb_year where id > 50000 and id < 50000 0; +----------+ | count(*) | +----------+ | 449999 | +----------+ 1 row in set (0.31 sec) mysql> select count(*) from customer_innodb_year where regtime > '1995-01-01 00: 00:00' and regtime < '1996-01-01 00:00:00'; +----------+ | count(*) | +----------+ | 199349 | +----------+ 1 row in set (0.47 sec) mysql> select count(*) from customer_innodb_year where regtime > '1995-01-01 00: 00:00' and regtime < '1996-01-01 00:00:00'; +----------+ | count(*) | +----------+ | 199349 | +----------+ 1 row in set (0.19 sec)
表三 MyISAM & PARTITION BY RANGE (id)
CREATE TABLE `customer_myisam_id` ( `id` int(11) NOT NULL, `email` varchar(64) NOT NULL, `name` varchar(32) NOT NULL, `password` varchar(32) NOT NULL, `phone` varchar(13) DEFAULT NULL, `birth` date DEFAULT NULL, `sex` int(1) DEFAULT NULL, `avatar` blob, `address` varchar(64) DEFAULT NULL, `regtime` datetime DEFAULT NULL, `lastip` varchar(15) DEFAULT NULL, `modifytime` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, PRIMARY KEY (`id`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8 /*!50100 PARTITION BY RANGE (id) (PARTITION p0 VALUES LESS THAN (100000) ENGINE = MyISAM, PARTITION p1 VALUES LESS THAN (500000) ENGINE = MyISAM, PARTITION p2 VALUES LESS THAN (1000000) ENGINE = MyISAM, PARTITION p3 VALUES LESS THAN (1500000) ENGINE = MyISAM, PARTITION p4 VALUES LESS THAN (2000000) ENGINE = MyISAM, PARTITION p5 VALUES LESS THAN MAXVALUE ENGINE = MyISAM) */;
查询结果:
mysql> select count(*) from customer_myisam_id where id > 50000 and id < 500000; +----------+ | count(*) | +----------+ | 449999 | +----------+ 1 row in set (0.59 sec) mysql> select count(*) from customer_myisam_id where id > 50000 and id < 500000; +----------+ | count(*) | +----------+ | 449999 | +----------+ 1 row in set (0.16 sec) mysql> select count(*) from customer_myisam_id where regtime > '1995-01-01 00:00 :00' and regtime < '1996-01-01 00:00:00'; +----------+ | count(*) | +----------+ | 199349 | +----------+ 1 row in set (34.17 sec) mysql> select count(*) from customer_myisam_id where regtime > '1995-01-01 00:00 :00' and regtime < '1996-01-01 00:00:00'; +----------+ | count(*) | +----------+ | 199349 | +----------+ 1 row in set (34.06 sec)
表四 MyISAM & PARTITION BY RANGE (year)
CREATE TABLE `customer_myisam_year` ( `id` int(11) NOT NULL, `email` varchar(64) NOT NULL, `name` varchar(32) NOT NULL, `password` varchar(32) NOT NULL, `phone` varchar(13) DEFAULT NULL, `birth` date DEFAULT NULL, `sex` int(1) DEFAULT NULL, `avatar` blob, `address` varchar(64) DEFAULT NULL, `regtime` datetime NOT NULL DEFAULT '0000-00-00 00:00:00', `lastip` varchar(15) DEFAULT NULL, `modifytime` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, PRIMARY KEY (`id`,`regtime`) ) ENGINE=MyISAM DEFAULT CHARSET=utf8 /*!50100 PARTITION BY RANGE (YEAR(regtime )) (PARTITION p0 VALUES LESS THAN (1996) ENGINE = MyISAM, PARTITION p1 VALUES LESS THAN (1997) ENGINE = MyISAM, PARTITION p2 VALUES LESS THAN (1998) ENGINE = MyISAM, PARTITION p3 VALUES LESS THAN (1999) ENGINE = MyISAM, PARTITION p4 VALUES LESS THAN (2000) ENGINE = MyISAM, PARTITION p5 VALUES LESS THAN (2001) ENGINE = MyISAM, PARTITION p6 VALUES LESS THAN (2002) ENGINE = MyISAM, PARTITION p7 VALUES LESS THAN (2003) ENGINE = MyISAM, PARTITION p8 VALUES LESS THAN (2004) ENGINE = MyISAM, PARTITION p9 VALUES LESS THAN (2005) ENGINE = MyISAM, PARTITION p10 VALUES LESS THAN (2006) ENGINE = MyISAM, PARTITION p11 VALUES LESS THAN (2007) ENGINE = MyISAM, PARTITION p12 VALUES LESS THAN (2008) ENGINE = MyISAM, PARTITION p13 VALUES LESS THAN (2009) ENGINE = MyISAM, PARTITION p14 VALUES LESS THAN (2010) ENGINE = MyISAM, PARTITION p15 VALUES LESS THAN (2011) ENGINE = MyISAM, PARTITION p16 VALUES LESS THAN (2012) ENGINE = MyISAM, PARTITION p17 VALUES LESS THAN (2013) ENGINE = MyISAM, PARTITION p18 VALUES LESS THAN (2014) ENGINE = MyISAM, PARTITION p19 VALUES LESS THAN MAXVALUE ENGINE = MyISAM) */;
查询结果:
mysql> select count(*) from customer_myisam_year where id > 50000 and id < 50000 0; +----------+ | count(*) | +----------+ | 449999 | +----------+ 1 row in set (2.08 sec) mysql> select count(*) from customer_myisam_year where id > 50000 and id < 50000 0; +----------+ | count(*) | +----------+ | 449999 | +----------+ 1 row in set (0.17 sec) mysql> select count(*) from customer_myisam_year where regtime > '1995-01-01 00: 00:00' and regtime < '1996-01-01 00:00:00'; +----------+ | count(*) | +----------+ | 199349 | +----------+ 1 row in set (0.56 sec) mysql> select count(*) from customer_myisam_year where regtime > '1995-01-01 00: 00:00' and regtime < '1996-01-01 00:00:00'; +----------+ | count(*) | +----------+ | 199349 | +----------+ 1 row in set (0.13 sec)
结果汇总
序号 | 存储引擎 | 分区函数 | 查询条件 | 一次查询(sec) | 二次查询(sec) |
1 | InnoDB | id | id | 1.19 | 0.28 |
2 | InnoDB | id | regtime | 4.74 | 5.28 |
3 | InnoDB | year | id | 5.31 | 0.31 |
4 | InnoDB | year | regtime | 0.47 | 0.19 |
5 | MyISAM | id | id | 0.59 | 0.16 |
6 | MyISAM | id | regtime | 34.17 | 34.06 |
7 | MyISAM | year | id | 2.08 | 0.17 |
8 | MyISAM | year | regtime | 0.56 | 0.13 |
总结
1、对于按照时间区间来查询的,建议采用按照时间来分区,减少查询范围。
2、MyISAM性能总体占优,但是不支持事务处理、外键约束等。