MySQL course 2. Various queries of tables

First put a table for operation ：

/*
 Navicat Premium Data Transfer

 Source Server         : mysql
 Source Server Type    : MySQL
 Source Server Version : 50732
 Source Host           : rm-bp1zq3879r28p726lco.mysql.rds.aliyuncs.com:3306
 Source Schema         : mytest

 Target Server Type    : MySQL
 Target Server Version : 50732
 File Encoding         : 65001

 Date: 28/06/2022 20:17:27
*/

SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;

-- ----------------------------
-- Table structure for t_users
-- ----------------------------
DROP TABLE IF EXISTS `t_users`;
CREATE TABLE `t_users`  (
  `id` int(8) NOT NULL AUTO_INCREMENT,
  `name` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `sex` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `id_no` text CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `age` int(11) NOT NULL,
  `type` int(8) NOT NULL,
  `use_date` datetime(0) NOT NULL,
  `use_state` int(1) NOT NULL,
  `createDate` datetime(0) NOT NULL,
  PRIMARY KEY (`id`) USING BTREE,
  INDEX `name_index`(`name`) USING BTREE,
  INDEX `name`(`name`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 44 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact;

-- ----------------------------
-- Records of t_users
-- ----------------------------
INSERT INTO `t_users` VALUES (1, ' Zhang San er', ' Woman ', '45001001001201001', 21, 2, '2022-05-18 08:59:46', 1, '2022-05-12 08:59:46');
INSERT INTO `t_users` VALUES (2, 'I like  Three sheets er', ' male ', '45001001001001001', 20, 1, '2022-05-18 09:00:27', 0, '2022-05-13 09:00:27');
INSERT INTO `t_users` VALUES (3, ' Three sheets ', ' Woman ', '45001001231001021', 52, 1, '2022-05-18 09:01:10', 1, '2022-05-16 09:01:10');
INSERT INTO `t_users` VALUES (4, ' Three sheets er', ' Woman ', '45001001001001221', 30, 2, '2022-05-18 09:01:41', 1, '2022-05-18 09:01:41');
INSERT INTO `t_users` VALUES (5, ' Three sheets ', ' Woman ', '45001001101001221', 16, 1, '2022-05-18 09:02:41', 1, '2022-05-18 09:02:41');
INSERT INTO `t_users` VALUES (6, ' Zhang er', ' Woman ', '45001001201001221', 18, 2, '2022-05-18 09:02:42', 1, '2022-05-18 09:02:42');
INSERT INTO `t_users` VALUES (9, ' Three sheets er', ' Woman ', '45015555245225622166', 25, 1, '2022-06-26 14:25:18', 1, '2022-06-26 14:25:22');
INSERT INTO `t_users` VALUES (11, ' Three sheets ', ' male ', '45234785758798374', 35, 0, '2022-06-26 14:31:20', 0, '1612-07-14 14:31:35');
INSERT INTO `t_users` VALUES (12, ' Zhang San, Zhang San ', ' male ', '4502215564123344', 18, 2, '2022-06-26 14:38:54', 0, '2022-06-26 14:39:01');
INSERT INTO `t_users` VALUES (13, ' Zhang San ', ' Woman ', '4520123454646746', 15, 2, '2022-06-26 14:39:27', 1, '2022-06-26 14:39:31');
INSERT INTO `t_users` VALUES (14, ' Zhang San ', ' male ', '4588228592659599', 18, 0, '2022-06-26 14:41:17', 3, '2022-07-08 14:41:21');
INSERT INTO `t_users` VALUES (15, ' Zhang San  * Zhang San, Zhang San ', ' Woman ', '452124200201122523', 33, 2, '2022-06-18 14:43:13', 3, '0000-00-00 00:00:00');
INSERT INTO `t_users` VALUES (20, ' Yin Zhangsan ', ' male ', '45456544654745645', 30, 1, '2022-06-26 15:07:20', 1, '2022-06-26 15:07:37');
INSERT INTO `t_users` VALUES (21, ' Zhang San, Zhang San ', ' male ', '45456544654745645', 30, 1, '2022-06-26 15:07:20', 1, '2022-06-26 15:07:37');
INSERT INTO `t_users` VALUES (28, ' One eye opens three ', ' male ', '848778', 20, 1, '2022-06-26 15:29:00', 0, '0000-00-00 00:00:00');
INSERT INTO `t_users` VALUES (29, ' Two eyes open three ', ' male ', '99', 21, 1, '2022-06-26 15:33:08', 1, '2022-06-26 15:33:08');
INSERT INTO `t_users` VALUES (30, ' All eyes are on Zhang San ！', ' male ', '108108413', 13, 1, '2022-06-26 15:33:58', 1, '2022-06-26 15:33:58');
INSERT INTO `t_users` VALUES (31, ' I am a two thorn newt ', ' male ', '99', 21, 1, '2022-06-26 15:35:12', 1, '2022-06-26 15:35:12');
INSERT INTO `t_users` VALUES (32, ' What are you doing? ~ Ouch! ~', ' Woman ', '114514', 66, 1, '2022-06-26 15:35:23', 1, '2022-06-26 15:35:27');
INSERT INTO `t_users` VALUES (33, ' Four eyes open three ', ' male ', '99', 21, 1, '2022-06-26 15:35:38', 1, '2022-06-26 15:35:38');
INSERT INTO `t_users` VALUES (34, ' Five eyes open three ', ' male ', '99', 21, 1, '2022-06-26 15:35:36', 0, '0000-00-00 00:00:00');
INSERT INTO `t_users` VALUES (35, ' I'm Zhang San , You are presumptuous ', ' male ', '99', 21, 1, '2022-06-26 15:36:31', 1, '2022-06-26 15:36:31');
INSERT INTO `t_users` VALUES (36, ' I'm Zhang San , You are presumptuous ', ' Woman ', '995465466545', 21, 1, '2022-06-26 15:38:16', 1, '2022-06-26 15:38:16');
INSERT INTO `t_users` VALUES (37, ' Mona Zhang San ', ' Woman ', '10001110101010', 99, 1, '1793-09-02 08:25:16', 0, '0211-07-08 15:14:00');
INSERT INTO `t_users` VALUES (38, ' Real Zhu Zhangsan ', ' Woman ', '123457', 20, 1, '2022-06-26 15:44:01', 1, '2022-06-26 15:44:01');
INSERT INTO `t_users` VALUES (39, ' Zhang San ', ' male ', '543212345', 99, 2, '2022-06-26 15:44:02', 1, '2022-06-26 15:44:02');
INSERT INTO `t_users` VALUES (40, ' Three for three ', ' male ', '108108413', 13, 1, '2022-06-26 15:44:03', 1, '2022-06-26 15:44:03');
INSERT INTO `t_users` VALUES (41, ' Zhang San, I love you ！', ' Woman ', '4545156', 60, 0, '0000-00-00 00:00:00', 0, '0000-00-00 00:00:00');
INSERT INTO `t_users` VALUES (42, 'woli Zhang saner ', ' male ', '123458888', 16, 0, '2022-06-22 16:23:58', 0, '2022-06-07 16:24:07');
INSERT INTO `t_users` VALUES (43, ' If it's Zhang San , Yes ', ' male ', '5201314', 18, 0, '2022-06-28 19:12:37', 0, '2022-06-28 19:12:39');

SET FOREIGN_KEY_CHECKS = 1;

#DQL Statement exercise table t_users

#where
-- select * from t_users where sex=' male ';

# Relationship >=<   Logic and or
-- select * from t_users where id<=5;
-- select * from t_users where age=16 and type=1;
-- select * from t_users where id=6 or id=5;

# The number ( Including time ) Range queries between...and...   Include boundary values , Just one more equal sign
-- select * from t_users where age between 20 and 30;
-- select * from t_users where createDate between
-- '2022-5-12 09:00:00' and '2022-5-18 14:28:50';

# Fuzzy query like   【_】 An underscore represents only one Chinese / character ,【%】 wildcard
-- select * from t_users where name like '%er%';
-- select * from t_users where name like '_er%';

# Clear duplicate values distinct
-- SELECT distinct age from t_users;

#in contain not in It doesn't contain
-- select * from t_users where id in (1,5,8,9,3);
-- select * from t_users where id not in (1,5,8,9,3);

# Group query GROUP BY   Will be used with aggregate functions
-- select sex,count(sex) ' Number ' from t_users GROUP BY sex;

#order by Sort   positive sequence asc   flashback desc
-- select * from t_users ORDER BY createDate desc;

#limit Pagination       Query the data subscript , Starting from scratch , If it is self increasing, it is 1 Start
-- SELECT * from t_users LIMIT 14,6;

#as anonymous
-- select *,name as' full name ',' Query finished 'as' remarks ' from t_users;

-----------------------

# Aggregate functions max min count avg sum 
-- select 
-- max(age) ' The oldest person ', -- min(age) ' The youngest ',
-- count(id) ' The total number of ',
-- avg(age) ' Average age ',
-- sum(age) ' Age sum '
-- from t_users;

# Query the information of the oldest and youngest people
-- select *,' remarks ' ' Information about the oldest person ' from t_users 
-- where age=(select max(age) from t_users);
-- 
-- select *,' remarks ' ' Information about the youngest person ' from t_users
-- where age=(select min(age) from t_users);

# Group by sex , And check the corresponding number
-- select sex,count(sex) ' The number of ',
-- sum(age)' Total age ',
-- avg(age)' The average age of men '
-- from t_users GROUP BY sex;

# Index query test
# There is no quotation 1.3 About seconds
-- SELECT * from test_table where introduce='mei5mei';
# Use index 0.05 About seconds
-- SELECT * FROM test_table WHERE name='shuai992';

# The cartesian product
-- SELECT * from 
-- users left JOIN user_address
-- on 
-- users.id=user_address.uid;

/*
 Navicat Premium Data Transfer

 Source Server         : mysql
 Source Server Type    : MySQL
 Source Server Version : 50732
 Source Host           : rm-bp1zq3879r28p726lco.mysql.rds.aliyuncs.com:3306
 Source Schema         : mytest

 Target Server Type    : MySQL
 Target Server Version : 50732
 File Encoding         : 65001

 Date: 28/06/2022 20:40:34
*/

SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;

-- ----------------------------
-- Table structure for users
-- ----------------------------
DROP TABLE IF EXISTS `users`;
CREATE TABLE `users`  (
  `id` int(8) NOT NULL AUTO_INCREMENT,
  `createDate` datetime(0) NOT NULL,
  `userName` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `passWord` varchar(36) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `age` int(3) NOT NULL,
  `phone` varchar(11) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `introduce` varchar(20) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `sex` int(250) NOT NULL,
  PRIMARY KEY (`id`) USING BTREE,
  INDEX `userName_index`(`userName`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 9 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;

-- ----------------------------
-- Records of users
-- ----------------------------
INSERT INTO `users` VALUES (1, '2022-06-26 13:43:11', 'admin', '123456', 20, '15912345678', 'jiojio shake ', 1);
INSERT INTO `users` VALUES (2, '2022-06-26 13:43:11', 'zhangsan', '123456', 30, '15912345678', ' I love cooking .', 1);
INSERT INTO `users` VALUES (3, '2022-06-26 13:43:11', 'lisi', '45451', 0, '15912345678', ' Great danger Tianlong ', 1);
INSERT INTO `users` VALUES (4, '2022-06-26 13:43:11', 'zhaoliu', '2222', 49, '15912345678', ' Like martial arts .', 1);
INSERT INTO `users` VALUES (5, '2022-06-26 13:43:11', ' Zhang San ', '11111', 16, '15912345678', ' Like dancing .', 0);
INSERT INTO `users` VALUES (6, '2022-06-26 13:43:11', 'ikun', '123787', 67, '15912345678', 'sb', 2);
INSERT INTO `users` VALUES (7, '2022-06-28 19:15:47', '？？？', '12112', 99, '15685465', ' Confess Chen ', 0);
INSERT INTO `users` VALUES (8, '2022-06-28 20:39:01', ' Celia ', '88888888', 100, '11111111111', ' Hello, my name is Celia ', 0);

SET FOREIGN_KEY_CHECKS = 1;

  Put the second operation table

-- create view newTableName as( # Create view

-- select state ' state ',count(state)
-- from
-- (
-- select userName ,age,
-- (
-- case 
-- when age<20 then ' youth '
-- when age<39 then ' Prime of life '
-- else ' middle-aged '
-- end
-- )'state'
-- from users
-- )result GROUP BY state;
-- select state ' state ',count(state) ' Number '
-- from newTableName GROUP BY state;

# Create stored procedure

delimiter $$
create procedure mypro233()
BEGIN

update users set introduce=' Beggar brother ' where userName='ikun';

end
$$
delimiter ;

# Use ！

call mypro233;

delimiter $$ # Flexible stored procedures
create procedure nmmdw(in new_id int)
BEGIN

update users set introduce=' Chicken, you are so beautiful ' where id=new_id;

end
$$
delimiter ;

call nmmdw(6);