mysql数据库学习(二)

 

结构表
CREATE TABLE `dm_user` (
  `id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '主键',
  `phone` varchar(255) DEFAULT NULL COMMENT '手机号',
  `password` varchar(255) DEFAULT NULL COMMENT '密码',
  `wxUserId` varchar(100) DEFAULT NULL,
  `realName` varchar(255) DEFAULT NULL COMMENT '真实姓名',
  `nickName` varchar(255) DEFAULT NULL COMMENT '昵称',
  `sex` int(1) DEFAULT NULL COMMENT '性别(0:男,1:女)',
  `hobby` varchar(255) DEFAULT NULL COMMENT '兴趣爱好',
  `idCard` varchar(255) DEFAULT NULL COMMENT '身份证号',
  `birthday` datetime DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP COMMENT '生日',
  `createdTime` datetime DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
  `updatedTime` datetime DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '修改时间',
  PRIMARY KEY (`id`),
  KEY `idx_phone_realName_sex` (`phone`,`realName`,`sex`)
) ENGINE=InnoDB AUTO_INCREMENT=64 DEFAULT CHARSET=utf8 COMMENT='用户表'

#===============================================
CREATE TABLE `city` (
  `city_id` int(11) NOT NULL AUTO_INCREMENT,
  `city_name` varchar(50) NOT NULL,
  `country_id` int(11) NOT NULL,
  PRIMARY KEY (`city_id`),
  UNIQUE KEY `idx_city_name_unique` (`city_name`),
  KEY `idx_city_name` (`city_name`)
) ENGINE=InnoDB AUTO_INCREMENT=10 DEFAULT CHARSET=utf8
#===============================================

CREATE TABLE `city_innodb` (
  `city_id` int(11) NOT NULL AUTO_INCREMENT,
  `city_name` varchar(50) NOT NULL,
  `country_id` int(11) NOT NULL,
  PRIMARY KEY (`city_id`),
  KEY `fk_city_country` (`country_id`),
  CONSTRAINT `fk_city_country` FOREIGN KEY (`country_id`) REFERENCES `country_innodb` (`country_id`) ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8
#===============================================

CREATE TABLE `city_logs` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `operation` varchar(20) NOT NULL COMMENT '操作类型:insert/update/delete',
  `operate_time` datetime NOT NULL COMMENT '操作时间',
  `operate_id` int(11) NOT NULL COMMENT '操作表ID',
  `operate_params` varchar(500) DEFAULT NULL COMMENT '操作参数',
  PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8
#===============================================
CREATE TABLE `country` (
  `country_id` int(11) NOT NULL AUTO_INCREMENT,
  `country_name` varchar(100) NOT NULL,
  PRIMARY KEY (`country_id`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8

#===============================================

CREATE TABLE `country_innodb` (
  `country_id` int(11) NOT NULL AUTO_INCREMENT,
  `country_name` varchar(100) NOT NULL,
  PRIMARY KEY (`country_id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8
#===============================================

CREATE TABLE `goods_innodb` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `name` varchar(20) NOT NULL,
  PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8
View Code

 

一、MySQL的体系结构概览

二、存储引擎

 

  2.1、各种存储引擎的特性

   2.2、验证事务(开启事务后,手动提交commit,之后回到了默认自动提交的状态,所以之后再插入一条语句后没有commit,但是其他的会话也是会查询到的)

     验证外键

CREATE TABLE `country_innodb` (
  `country_id` INT(11) NOT NULL AUTO_INCREMENT,
  `country_name` VARCHAR(100) NOT NULL,
  PRIMARY KEY (`country_id`)
) ENGINE=INNODB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8

CREATE TABLE `city_innodb` (
  `city_id` int(11) NOT NULL AUTO_INCREMENT,
  `city_name` varchar(50) NOT NULL,
  `country_id` int(11) NOT NULL,
  PRIMARY KEY (`city_id`),
  KEY `fk_city_country` (`country_id`),
  CONSTRAINT `fk_city_country` FOREIGN KEY (`country_id`) REFERENCES `country_innodb` (`country_id`) ON UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8

 

 

  2.3、innoDB存储表和索引两种方式

  2.4、MyISAM存储引擎(不支持事务,支持表锁,不支持外键)、文件结构如下

 

  2.5、Memory存储引擎

 

  2.5、MERGE存储引擎

  2.6、存储引擎的选择

 三、优化

   3.1、执行频率查询

    >show global status like 'Innodb_rows_%';#Innodb查询数据库

    >show status like 'Innodb_rows_%';#Innodb查询当前会话数据库

    >show global status like 'com_______';#7个占位符

    >show status like 'com_______';

    >show databases;#查看当前SQL有多少数据库

    >use dbname;#切换dbname

    >select datdabase();#查看当前使用的数据库

  3.2、定位低效SQL的两种方式

  3.3、explain分析执行计划

     3.3.1、select_type字段说明

    3.3.2、type字段(通常我们需要保证查询至少达到range,最好达到ref)

    3.3.3、key

 

     3.3.4、extra(出现using filesort和temporary需要考虑进行优化)

   3.4、show profile分析SQL语句

    >select @@have_profiling;      #查看是否支持profile

    >select @@profiling;        #默认profiling是关闭的,值为0

    >set profiling=1;          #开启

 

    >show profile for query id;       #

    >show profile all  for query id;    #展示所有信息

 

 

   3.5、trace工具

 

 四、索引的使用

  索引是数据库优化最常用也是最重要的手段之一,通过索引通常可以帮助用户解决大多数的MySQL的性能优化问题

  4.1、避免索引失效

    4.1.1、全值匹配,对索引中所有列都指定具体指,该情况下,索引生效,执行效率高 

CREATE INDEX idx_xxx ON your_table_name(table_col1,table_col2,table_col3);

SELECT *  FROM your_table_name WHERE table_col1=?  AND table_col2=?  AND table_col3=?; 

     4.1.2、最左前缀法则。如果索引了多列,要遵守最左前缀法则。指的是查询从索引的最左列开始,并且不跳过索引中的列,才能走索引

    4.1.3、范围查询右边的列不能用索引

    4.1.4、不要在索引列上进行运算操作,否则索引失效

    4.1.5、字符串不加单引号,导致索引失效

 

#从table_cols列上截取字符进行查询,table_cols索引将不起作用
SELECT *  FROM  you_tablename WHERE SUBSTRING(table_cols,3,2);
#字符串不加单引号,导致索引失效
SELECT *  FROM  you_tablename WHERE table_cols=x;
SELECT *  FROM  you_tablename WHERE table_cols='x';

 

   

    4.1.6、尽量使用覆盖索引,避免select *

     4.1.7、or索引失效,如果or前的条件的列有索引,但后面的列中没有索引,那么涉及的索引都不会被用到

    4.1.8、like模糊匹配

 

    4.1.9、如果MySQL评估使用索引比全表更慢,则不使用索引

        比如当一张表10条数据,某一字段(name)有九条数据都是一样的XX,另一条是YY,且这个字段是字段索引,

        那么当查询name=XX时可能就不走索引,而name=YY又走索引

    4.1.10、is NULL,is NOT NULL有时索引失效,当索引字段值大部分是NULL,那么is NULL全表扫描  

    4.1.11、in走索引,not in不走索引 

     4.1.12、单列索引和复合索引

        尽量使用复合索引,少使用单列索引,当创建(name1+name2)索引,相当于创建了2个索引,name1,name1+name2

        如果是单列索引,那么在查询条件上数据库只会选择一个最优的索引(最具辨识度),

    4.1.13、查看索引使用情况

        >show status like 'Handler_read%';#当前会话的索引使用情况

 

五、SQL优化

  5.1、大批量插入数据,使用load命令

    5.1.1、逐渐顺序插入。Innodb是按照主键顺序保存的

    5.1.2、关闭唯一性校验。在导入数据前如有唯一性校验,关闭>SET UNIQUE_CHECKS=0,在结束后再执行>ET UNIQUE_CHECKS=1恢复

    5.1.3、手动提交事务。执行SET AUTOCOMMIT=0,关闭自动提交,结束后SET AUTOCOMMIT=1,也可提高导入效率

  >LOAD DATA LOCAL INFILE 'C://Users//Desktop//inserttest.log' INTO TABLE `dm_user` FIELDS TERMINATED BY ',' LINES                      TERMINATED BY '\n';

LOAD DATA  [LOW_PRIORITY] [LOCAL] INFILE 'file_name txt' [REPLACE | IGNORE]
  into TABLE tbl_name
  fields
  [TERMINATED BY't']
  [OPTIONALLY] ENCLOSED BY '']
  [ESCAPED BY'\' ]]
  [lines terminated by'n']
  [ignore number lines]
  [(col_name,   )]



'30','zhzbin@163.com','e10adc3949ba59abbe56e057f20f883e',NULL,'胖成球','胖成球1132','1','测bugasdasdasdasdasd水电费水电费爽肤水3测试数据的asdasd','8888888888888','2019-09-10 15:46:47','2018-05-24 11:30:49','2019-09-10 15:46:47'
'40','test1235@test.com','e10adc3949ba59abbe56e057f20f883e',NULL,'11','8888888888','1','字符串兴趣爱好1111','888888888','2018-10-09 06:29:05','2018-05-24 11:30:49','2018-10-09 06:29:05'
'50','test555@test.com','e10adc3949ba59abbe56e057f20f883e',NULL,'嘻嘻','呵呵列',NULL,'字符串兴趣爱好','5555555','2018-10-09 06:29:05','2018-05-31 08:15:33','2018-10-09 06:29:05'
'60','test1@test.com','e10adc3949ba59abbe56e057f20f883e',NULL,'11','8888888888','1','字符串兴趣爱好1111','888888888','2018-10-09 06:29:05','2018-05-24 11:30:49','2018-10-09 06:29:05'
'70','test12@test.com','e10adc3949ba59abbe56e057f20f883e',NULL,'11','8888888888','1','字符串兴趣爱好1111','888888888','2018-10-09 06:29:05','2018-05-24 11:30:49','2018-10-09 06:29:05'
'80','test1234@test.com','e10adc3949ba59abbe56e057f20f883e',NULL,'11','8888888888',NULL,'字符串兴趣爱好1111','888888888','2018-10-09 06:29:05','2018-05-31 08:15:33','2018-10-09 06:29:05'
'90','772602194@qq.com','e10adc3949ba59abbe56e057f20f883e',NULL,'丰碧琴','子爱','2','看书,打球,看小说\n看电影','340102199003076236','2018-10-09 06:29:05','2018-05-24 11:30:49','2018-10-09 06:29:05'
'100','491675128@163.com','e10adc3949ba59abbe56e057f20f883e',NULL,'迟骞信','友易','0','游泳,跑步','350102199103131433','2018-10-09 06:29:05','2018-05-24 11:30:49','2018-10-09 06:29:05'
'110','538015624@126.com','e10adc3949ba59abbe56e057f20f883e',NULL,'谏鸿禧','方方','0','旅游,散步','210102191007072616','2018-10-09 06:29:05','2018-05-31 08:15:33','2018-10-09 06:29:05'
'120','151902456@qq.com','e10adc3949ba59abbe56e057f20f883e',NULL,'窦彤云','开朗','1','打篮球,打扑克,下象棋','11010120100807189X','2018-10-09 06:29:05','2018-05-24 11:30:49','2018-10-09 06:29:05'
'130','893297013@qq.com','e10adc3949ba59abbe56e057f20f883e',NULL,'肇琰琬','安静','1','游泳,健身,散步,购物','320102199308189174','2018-10-09 06:29:05','2018-05-24 11:30:49','2018-10-09 06:29:05'
'140','wullove_12@126.com','e10adc3949ba59abbe56e057f20f883e',NULL,'贾思枫','旺旺','0','跑酷,玩电脑游戏,看小说,看电影','410102199506200516','2018-10-09 06:29:05','2018-05-31 08:15:33','2018-10-09 06:29:05'
'150','320538281@qq.com','e10adc3949ba59abbe56e057f20f883e',NULL,'由樱花','游客','1','看小说,看电影,散步','330102199110072239','2018-10-09 06:29:05','2018-05-31 08:15:33','2018-10-09 06:29:05'
'160','236392829@qq.com','e10adc3949ba59abbe56e057f20f883e',NULL,'乌海蓝','随风','0','看书,学习,直播','230102199409044570','2018-10-09 06:29:05','2018-05-24 11:30:49','2018-10-09 06:29:05'
'170','164319313@qq.com','e10adc3949ba59abbe56e057f20f883e',NULL,'赵恨瑶','流年','1','学习,游玩,散步,购物','360102199609126393','2018-10-09 06:29:05','2018-05-24 11:30:49','2018-10-09 06:29:05'
'180','cj88sdj@163.com','e10adc3949ba59abbe56e057f20f883e',NULL,'黄芳洁1','同桌的你','1','运动,洗衣服','310101199010184591','2018-10-09 06:29:05','2018-05-31 08:15:33','2018-10-09 06:29:05'
'190','zhzbin12@163.com','e10adc3949ba59abbe56e057f20f883e',NULL,'Test','胖成球','0','运动,洗衣服','310101199010184591','2018-10-09 06:29:05','2018-05-31 08:15:33','2018-10-09 06:29:05'
'200','sdodh366@163.com','e10adc3949ba59abbe56e057f20f883e',NULL,'董海','董海测试1','1','董海的爱好1','888888888888888','2018-10-09 06:29:05','2018-07-02 03:22:03','2018-10-09 06:29:05'
'620','test@163.com','e10adc3949ba59abbe56e057f20f883e','oPxiwwqVIwYqkoRKmHeoDM3cDato',NULL,'好心人','1','董海的爱好1',NULL,'2018-10-09 06:29:05','2018-07-03 17:09:11','2018-10-09 06:29:05'
'630','sdodj366@163.com','e10adc3949ba59abbe56e057f20f883e',NULL,'董海','董海测试1','1','谢谢小星星','111111111111111111','2018-10-09 06:29:05','2018-07-11 03:11:42','2018-10-09 06:29:05'
View Code

 

  >fields terminated by ','标示各字段以逗号隔开,各行以换行符隔开

  5.2、insert语句优化  

    5.2.1、将多条加入语句合并 insert table_name values(),(),();

 

    5.2.2、有序插入

 

    5.2.3、手动提交事务

  5.3、order by语句优化,要么都升序要么都降序

    5.3.1、第一种排序是通过返回数据进行排序,也就是通常说的fileSort排序

    5.3.1、第二种是通过有序索引顺序扫描直接返回有序数据,using index,不需要额外排序,操作效率高 

    > show variables like 'max_length_for_sort_data';

    > show variables like 'sort_buffer_size';

 

 

 

 

 

 

 

posted @ 2021-05-24 20:27  ffzzblog  阅读(81)  评论(0编辑  收藏  举报