MySQL不同存储引擎和不同分区字段对于查询的影响

mancha

　　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。