【入门教程】增长域的8个MYSQL实际查询案例，0基础敲一敲就会了

提示
1、数据均由python随机生成，不代表任何真实情况；
2、手机横屏效果更佳，本文持续更新；

* 常用表

users表结构

列名	user_id	nick_name	telphone	gender	birthyear	system	province	create_time
含义	用户id	用户名	手机号	性别	出生年份	手机系统	注册省份	创建时间
数据	1	今天也要加油鸭	13559196902	1	1998	1	澳门特别行政区	2018-07-07 06:40:26
数据	2	xia73	13187398699	0	1991	1	澳门特别行政区	2019-12-25 13:10:27
…	…	…	…	…	…	…	…

1. 从[users]表，查询用户名是[今天也要加油鸭]的所有用户信息

想要的数据结构是这样的：

user_id	nick_name	telphone	gender	birthyear	system	province	create_time

SELECT * -- 3、这行是SELECT打头，写*表示这一行的所有列都要，包括nick_name、telphone这些
FROM users  -- 1、入门阶段，可以先写这行，意思是从哪个表查询，例如这个例子的 users表
WHERE nick_name = '今天也要加油鸭'  -- 2、WHERE打头，表示查找的条件，比如用户名是[今天也要加油鸭],代码就是nick_name = '今天也要加油鸭'

结果是这样就对了，你看nick_name那列的值是[今天也要加油鸭]

2. 从[users]表，查询注册时间在2018(含)年之前的用户信息

查询出来的结构也是这样

user_id	nick_name	telphone	gender	birthyear	system	province	create_time

SELECT *
FROM users
WHERE year(create_time)<'2018' or year(create_time)='2018'  -- 这一行表示，创建时间用year()函数获取，也就是XXXX年，通过<和=判断

注意：这里是小于2018年 [或者] 等于2018年哦，也就是[or]，不是[and]
结果就是下面这样，你看create_time那列，都在2018或之前

3. 从[users]表，查询80后用户们，他们来自哪些省份

记得先把想要的表列出来，便于思考处理步骤：

province
湖南省
贵州省
…

step1
先按照条件，把所有字段查出来

SELECT *
FROM users
WHERE birthyear BETWEEN 1980 AND 1989  -- 这里的BETWEEN，是包含1980和1989的哦

得到
step2
我们只要province这一列，把* 改成 province就行，也就是

SELECT province  -- 改掉的是这行原来的*
FROM users
WHERE birthyear BETWEEN 1980 AND 1989

就是这样子，依然是6条数据，只有province一列哦
step3
贵州省重复了，可以用DISTINCT去重
注：是加在要去重的province前面哦，位置很特别

SELECT DISTINCT province  -- DISTINCT写在省份左边，表示对省份去重
FROM users
WHERE birthyear BETWEEN 1980 AND 1989

step4
去重完剩下4条数据，交作业了

4. 从[users]表，查询用户名为空[NULL]的user_id和脱敏过的手机号号码（中间4位用*表示）

想要的表是

user_id	脱敏过的手机号
666	135****9999
…	…

SELECT user_id,
CONCAT(LEFT(telphone,3),'****',RIGHT(telphone,4))    -- 这行的执行顺序是，用LEFT()函数获取左3位，中间是****，右边用RIGHT()截取4位，把3节用CANCAT()拼起来正好是11位手机号
FROM users
WHERE nick_name IS NULL     -- NULL表示这个值没有任何东西，连空格或者0都没有；IS NULL顾名思义，这个列是空的

结果是这样的

5. 从[users]表，查询用户各性别的数量，并把列名翻译成中文

性别	数量
…	…

SELECT gender AS `性别`, -- AS是给这列重命名，比如这里把[gender]命名为[性别]，中文要加[`]号;
COUNT(*) AS `数量`  -- COUNT(*)表示对用户计数，结合最后一行gender的[N个值]，就查到男女各多少
FROM users
GROUP BY gender     -- 通过gender这一列的[N个值]，分成N行，结合第二行COUNT()，就查到男女各多少

结果是这样的，这里的0代表男、1代表女；

这个例子，重点是引入group分组用法；
所以怎么把第一列表示成下面，下次再拓展哦；

性别	数量
女	14
男	8

6. 从[orders]表，查询最近1天创建的订单数和创建的总额，列名用中文哦

SELECT DATE(create_time) AS `创建日期`,
COUNT(*) AS `订单数`,
SUM(amount) AS `金额`
FROM orders
GROUP BY DATE(create_time)
ORDER BY DATE(create_time) DESC     -- 这里表示查询出来的结果，用ORDER BY右边的列排序，但是create_time取日期后，要升序还是降序呢？ 案例查询最近1天，所以是降序DESC
LIMIT 1     -- 这里只取1行数据，所以LIMIT右边写1

结果是

7. 从[users]表和[orders]表，查询手机号[13559196902]用户创建的订单信息

orders表

列名	order_id	order_code	user_id	goods_id	amount	pay_time	pay_way	create_time
含义	订单id	订单编号	用户id	商品id	总额	支付时间	支付方式	创建时间
数据	1	647665064680	7	54	537,	2020-08-28 10:02:27	1	2020-08-27 17:38:13
数据	2	949321217559	17	19	517	2021-08-04 11:41:06	0	2021-08-02 15:20:40
…	…	…	…	…	…	…	…

代码

SELECT
users.telphone,
orders.*
FROM(SELECT user_id,telphoneFROM usersWHERE telphone = '13559196902') AS users   -- 这里先把手机号是13559196902的user表查出来，必须命名哦，且命名为users
LEFT JOIN   orders  -- -- 因为要去order表找订单，所以用LEFT JOIN这里连接orders
ON users.user_id = orders.user_id      -- users表的user_id 和 orders表的user_id要一样；查出来的订单，才是这个用户的订单呀，而不是谁的都有

8. 从[login]表，查询每天的注册用户7日留存率

7日留存率就是，比如今天是2022年1月1日，新注册用户10个；在2022年1月7日当天，其中2个登录过，那么2022年1月1日的注册用户7日留存率就是2/10，即0.2。

注：用户第一次登录时间，视为注册时间

login表
列名| | login_id | user_id | page_id | login_time |
|–|–|–|–|–|–|
含义| | 登录id | 用户id | 登录前访问页 | 登录时间 |
代码

SELECT DATE(t1.login_earlist) AS `日期`,COUNT(t1.user_id) AS `首次登录数`,COUNT(t2.user_id) AS `7日登录数`,ROUND(COUNT(t2.user_id)/COUNT(t1.user_id),2) AS `7日留存率`
FROM
(SELECT user_id,Min(login_time) AS login_earlistFROM loginGROUP BY user_id) -- 这一段查出来的是，每个用户的注册时间是哪一天，就是| user_id | login_earlist |   AS t1 -- 可以命名为t1
LEFT JOINlogin  AS t2   -- login比较长，也可以命名为t2ON t1.user_id = t2.user_id  `-- 条件1，是把t1和t2表通过user_id相连AND DATEDIFF(date(t2.login_time),t1.login_earlist) = 6      -- 条件2，是不仅user_id相等，且登录时间必须在6天后，也就是di7天，相连后得到 | user_id | login_earlist | DATEDIFF(date(t2.login_time),t1.login_earlist) |
GROUP BY DATE(t1.login_earlist)
ORDER BY DATE(t1.login_earlist) DESC

结果是这样

* 线上环境和建表代码

不会装MYSQL的同学，推荐SQL Fiddle用于单表练习，下图是使用方法
3个表的建表代码，和数据都在下面
users表

CREATE TABLE `users`  (`user_id` int NOT NULL AUTO_INCREMENT COMMENT '用户id',`nick_name` char(12) CHARACTER SET utf8mb3 COLLATE utf8mb3_general_ci NULL DEFAULT NULL COMMENT '用户名',`telphone` char(11) CHARACTER SET utf8mb3 COLLATE utf8mb3_general_ci NOT NULL COMMENT '手机号',`gender` char(1) CHARACTER SET utf8mb3 COLLATE utf8mb3_general_ci NULL DEFAULT NULL COMMENT '性别，0男，1女',`birthyear` int NULL DEFAULT NULL COMMENT '出生年份',`system` char(2) CHARACTER SET utf8mb3 COLLATE utf8mb3_general_ci NULL DEFAULT NULL COMMENT '系统，0Android，1iOS',`province` char(8) CHARACTER SET utf8mb3 COLLATE utf8mb3_general_ci NULL DEFAULT NULL COMMENT '省份',`create_time` datetime NOT NULL COMMENT '创建时间',PRIMARY KEY (`user_id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 101 CHARACTER SET = utf8mb3 COLLATE = utf8mb3_general_ci ROW_FORMAT = DYNAMIC;-- ----------------------------
-- Records of users
-- ----------------------------
INSERT INTO `users` VALUES (1, '今天也要加油鸭', '13559196902', '1', 1998, '1', '澳门特别行政区', '2018-07-07 06:40:26');
INSERT INTO `users` VALUES (2, 'xia73', '13187398699', '0', 1991, '1', '澳门特别行政区', '2019-12-25 13:10:27');
INSERT INTO `users` VALUES (3, '', '13478435934', '1', 1985, '0', '湖南省', '2019-06-01 16:31:32');
INSERT INTO `users` VALUES (4, 'sunxiuying', '13561284587', '1', 1998, '1', '香港特别行政区', '2019-03-27 23:48:10');
INSERT INTO `users` VALUES (5, 'nazhu', '14587594778', '1', 1999, '1', '上海市', '2019-02-05 17:57:06');
INSERT INTO `users` VALUES (6, 'xiulan96', '15250246981', '0', 1975, '1', '山西省', '2019-09-29 01:22:12');
INSERT INTO `users` VALUES (7, 'JoJo', '18810295877', '1', 2009, '1', '内蒙古自治区', '2019-01-01 21:40:59');
INSERT INTO `users` VALUES (8, 'iyang', '13120473477', '0', 2002, '0', '湖南省', '2019-12-24 02:32:30');
INSERT INTO `users` VALUES (9, 'wei61', '13011543118', '1', 1982, '0', '贵州省', '2018-06-01 21:24:39');
INSERT INTO `users` VALUES (10, '往日随风', '13115018314', '0', 1962, '0', '内蒙古自治区', '2017-02-21 15:10:20');
INSERT INTO `users` VALUES (11, '', '15976619947', '1', 1988, '0', '北京市', '2018-08-21 20:03:21');
INSERT INTO `users` VALUES (12, 'yongtang', '15529101010', '1', 1950, '1', '陕西省', '2019-11-01 18:44:41');
INSERT INTO `users` VALUES (13, '月薪高达三千二', '13519846626', '1', 1960, '1', '海南省', '2014-05-23 17:00:43');
INSERT INTO `users` VALUES (14, 'jun13', '14522169017', '1', 1996, '1', '北京市', '2015-01-26 09:56:27');
INSERT INTO `users` VALUES (15, 'qiangyu', '18053735516', '0', 2000, '1', '香港特别行政区', '2019-09-27 09:40:14');
INSERT INTO `users` VALUES (16, 'Lilei', '15949887592', '1', 1959, '1', '江西省', '2012-10-08 17:32:15');
INSERT INTO `users` VALUES (17, 'weichao', '13200425518', '0', 1959, '1', '云南省', '2019-03-01 08:42:39');
INSERT INTO `users` VALUES (18, 'jingliu', '14565370860', '1', 1980, '0', '澳门特别行政区', '2015-03-26 07:04:27');
INSERT INTO `users` VALUES (19, NULL, '13878327838', '1', 1980, '1', '贵州省', '2022-09-05 04:32:19');
INSERT INTO `users` VALUES (20, NULL, '16726763277', '0', 1989, '1', '贵州省', '2022-09-05 04:34:28');SET FOREIGN_KEY_CHECKS = 1;

orders表

CREATE TABLE `orders`  (`order_id` int NOT NULL AUTO_INCREMENT COMMENT '订单id',`order_code` char(12) CHARACTER SET utf8mb3 COLLATE utf8mb3_general_ci NOT NULL COMMENT '订单编号',`user_id` int NOT NULL COMMENT '用户id',`goods_id` int NOT NULL COMMENT '商品id',`amount` float NOT NULL COMMENT '总额',`pay_time` datetime NULL DEFAULT NULL COMMENT '支付时间',`pay_way` int NULL DEFAULT NULL COMMENT '支付方式：0微信，1支付宝',`create_time` datetime NULL DEFAULT NULL COMMENT '创建时间',PRIMARY KEY (`order_id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 20 CHARACTER SET = utf8mb3 COLLATE = utf8mb3_general_ci ROW_FORMAT = Dynamic;-- ----------------------------
-- Records of orders
-- ----------------------------
INSERT INTO `orders` VALUES (1, '647665064680', 7, 54, 537, '2020-08-28 10:02:27', 1, '2020-08-27 17:38:13');
INSERT INTO `orders` VALUES (2, '949321217559', 17, 19, 517, '2021-08-04 11:41:06', 0, '2021-08-02 15:20:40');
INSERT INTO `orders` VALUES (3, '537849740542', 5, 53, 711, '2022-07-28 08:44:36', 0, '2020-12-31 11:02:58');
INSERT INTO `orders` VALUES (4, '773995881328', 20, 54, 559, '2021-04-29 19:45:59', 1, '2020-06-14 20:44:01');
INSERT INTO `orders` VALUES (5, '570624161226', 1, 29, 127, '2021-12-17 02:00:48', 0, '2020-05-11 18:40:33');
INSERT INTO `orders` VALUES (6, '955684234583', 3, 54, 143, NULL, NULL, '2022-03-15 19:09:57');
INSERT INTO `orders` VALUES (7, '293782735165', 7, 62, 432, NULL, NULL, '2021-07-19 01:34:23');
INSERT INTO `orders` VALUES (8, '745218906051', 3, 29, 818, NULL, NULL, '2020-05-16 20:03:39');
INSERT INTO `orders` VALUES (9, '275381991105', 9, 38, 375, NULL, NULL, '2022-10-22 22:47:12');
INSERT INTO `orders` VALUES (10, '618819179703', 9, 79, 369, NULL, NULL, '2021-05-20 02:28:56');
INSERT INTO `orders` VALUES (11, '355169043067', 3, 53, 290, NULL, NULL, '2020-12-17 01:34:02');
INSERT INTO `orders` VALUES (12, '444555188388', 19, 74, 118, NULL, NULL, '2021-06-16 05:46:27');
INSERT INTO `orders` VALUES (13, '207585349304', 16, 49, 848, NULL, NULL, '2022-06-16 14:39:32');
INSERT INTO `orders` VALUES (14, '301289256678', 16, 47, 639, NULL, NULL, '2022-05-22 11:28:15');
INSERT INTO `orders` VALUES (15, '210506209168', 13, 22, 792, NULL, NULL, '2021-06-25 12:19:09');
INSERT INTO `orders` VALUES (16, '815821221259', 3, 72, 548, NULL, NULL, '2020-09-20 02:42:46');
INSERT INTO `orders` VALUES (17, '541280278637', 2, 77, 501, NULL, NULL, '2022-03-26 14:44:25');
INSERT INTO `orders` VALUES (18, '123198506230', 10, 66, 875, NULL, NULL, '2022-06-16 18:01:03');
INSERT INTO `orders` VALUES (19, '919422031499', 11, 35, 919, NULL, NULL, '2022-02-08 15:41:06');
INSERT INTO `orders` VALUES (20, '419565479193', 10, 42, 504, NULL, NULL, '2021-03-28 06:43:56');SET FOREIGN_KEY_CHECKS = 1;

login表

CREATE TABLE `login`  (`login_id` int NOT NULL AUTO_INCREMENT COMMENT '登录id',`user_id` int NOT NULL COMMENT '用户id',`page_id` int NOT NULL COMMENT '登录前页面id',`login_time` datetime NULL DEFAULT NULL COMMENT '登录时间',PRIMARY KEY (`login_id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 1001 CHARACTER SET = utf8mb3 COLLATE = utf8mb3_general_ci ROW_FORMAT = Dynamic;-- ----------------------------
-- Records of login
-- ----------------------------
INSERT INTO `login` VALUES (1, 5, 1, '2022-04-02 19:29:21');
INSERT INTO `login` VALUES (2, 9, 1, '2022-01-15 18:29:21');
INSERT INTO `login` VALUES (3, 15, 5, '2022-06-18 14:34:35');
INSERT INTO `login` VALUES (4, 17, 4, '2022-06-26 06:31:12');
INSERT INTO `login` VALUES (5, 19, 3, '2022-04-26 09:08:53');
INSERT INTO `login` VALUES (6, 9, 7, '2021-09-14 08:06:27');
INSERT INTO `login` VALUES (7, 5, 6, '2022-02-17 14:02:55');
INSERT INTO `login` VALUES (8, 20, 3, '2021-11-27 22:49:53');
INSERT INTO `login` VALUES (9, 8, 3, '2022-05-07 08:52:02');
INSERT INTO `login` VALUES (10, 2, 1, '2022-01-09 10:30:57');
INSERT INTO `login` VALUES (11, 20, 6, '2022-06-12 15:59:26');
INSERT INTO `login` VALUES (12, 18, 9, '2022-06-25 15:28:18');
INSERT INTO `login` VALUES (13, 18, 8, '2022-07-23 02:05:08');
INSERT INTO `login` VALUES (14, 18, 7, '2022-02-18 08:00:43');
INSERT INTO `login` VALUES (15, 6, 8, '2022-03-29 13:15:56');
INSERT INTO `login` VALUES (16, 12, 3, '2021-11-08 20:35:53');
INSERT INTO `login` VALUES (17, 14, 7, '2021-11-08 22:40:37');
INSERT INTO `login` VALUES (18, 15, 7, '2022-06-30 16:28:22');
INSERT INTO `login` VALUES (19, 17, 6, '2021-09-29 10:34:45');
INSERT INTO `login` VALUES (20, 1, 4, '2022-01-03 00:20:18');
INSERT INTO `login` VALUES (21, 12, 9, '2021-11-30 05:28:26');
INSERT INTO `login` VALUES (22, 15, 5, '2021-11-26 23:11:23');
INSERT INTO `login` VALUES (23, 2, 2, '2022-05-24 07:09:08');
INSERT INTO `login` VALUES (24, 11, 2, '2021-10-29 04:53:06');
INSERT INTO `login` VALUES (25, 7, 2, '2021-11-01 18:42:02');
INSERT INTO `login` VALUES (26, 17, 7, '2021-11-28 20:55:30');
INSERT INTO `login` VALUES (27, 4, 7, '2022-05-16 16:03:58');
INSERT INTO `login` VALUES (28, 10, 2, '2022-08-02 08:10:53');
INSERT INTO `login` VALUES (29, 16, 1, '2021-09-10 02:51:43');
INSERT INTO `login` VALUES (30, 13, 7, '2021-12-24 22:18:16');
INSERT INTO `login` VALUES (31, 1, 6, '2021-09-22 02:46:49');
INSERT INTO `login` VALUES (32, 3, 10, '2021-12-21 09:26:05');
INSERT INTO `login` VALUES (33, 3, 10, '2022-03-14 05:17:01');
INSERT INTO `login` VALUES (34, 10, 9, '2022-01-20 22:32:13');
INSERT INTO `login` VALUES (35, 5, 1, '2021-09-27 07:29:32');
INSERT INTO `login` VALUES (36, 7, 3, '2021-10-30 21:36:25');
INSERT INTO `login` VALUES (37, 17, 9, '2021-12-20 09:45:18');
INSERT INTO `login` VALUES (38, 3, 3, '2022-03-16 10:29:23');
INSERT INTO `login` VALUES (39, 4, 10, '2022-06-07 19:49:57');
INSERT INTO `login` VALUES (40, 16, 4, '2021-10-21 12:54:08');
INSERT INTO `login` VALUES (41, 12, 5, '2022-02-13 13:19:16');
INSERT INTO `login` VALUES (42, 14, 1, '2022-07-17 22:40:52');
INSERT INTO `login` VALUES (43, 6, 5, '2022-03-27 07:21:22');
INSERT INTO `login` VALUES (44, 15, 7, '2021-10-03 12:16:45');
INSERT INTO `login` VALUES (45, 11, 4, '2021-09-20 13:50:54');
INSERT INTO `login` VALUES (46, 14, 9, '2022-04-03 08:39:43');
INSERT INTO `login` VALUES (47, 9, 10, '2021-11-13 16:54:18');
INSERT INTO `login` VALUES (48, 11, 3, '2021-11-27 00:50:37');
INSERT INTO `login` VALUES (49, 5, 1, '2021-12-23 10:50:22');
INSERT INTO `login` VALUES (50, 17, 4, '2022-04-28 10:48:31');
INSERT INTO `login` VALUES (51, 19, 1, '2022-05-23 18:28:27');
INSERT INTO `login` VALUES (52, 19, 6, '2022-07-16 17:46:29');
INSERT INTO `login` VALUES (53, 6, 3, '2022-06-14 18:07:14');
INSERT INTO `login` VALUES (54, 9, 4, '2022-03-18 02:21:58');
INSERT INTO `login` VALUES (55, 18, 8, '2021-11-13 11:47:00');
INSERT INTO `login` VALUES (56, 18, 1, '2021-10-18 05:50:01');
INSERT INTO `login` VALUES (57, 14, 1, '2022-01-28 16:02:25');
INSERT INTO `login` VALUES (58, 13, 1, '2022-02-22 01:12:45');
INSERT INTO `login` VALUES (59, 14, 4, '2021-12-03 06:28:10');
INSERT INTO `login` VALUES (60, 2, 7, '2022-02-28 18:40:15');
INSERT INTO `login` VALUES (61, 2, 7, '2022-07-05 03:12:48');
INSERT INTO `login` VALUES (62, 3, 5, '2022-07-01 06:04:05');
INSERT INTO `login` VALUES (63, 11, 8, '2022-09-01 13:45:29');
INSERT INTO `login` VALUES (64, 13, 1, '2022-07-14 20:47:46');
INSERT INTO `login` VALUES (65, 5, 1, '2022-03-01 15:01:49');
INSERT INTO `login` VALUES (66, 18, 2, '2022-04-03 19:34:49');
INSERT INTO `login` VALUES (67, 8, 5, '2021-09-19 01:25:08');
INSERT INTO `login` VALUES (68, 9, 10, '2021-10-13 12:10:14');
INSERT INTO `login` VALUES (69, 8, 6, '2022-06-26 22:33:32');
INSERT INTO `login` VALUES (70, 10, 6, '2022-08-08 09:27:50');
INSERT INTO `login` VALUES (71, 20, 4, '2022-09-04 11:19:34');
INSERT INTO `login` VALUES (72, 4, 9, '2022-03-22 22:00:07');
INSERT INTO `login` VALUES (73, 2, 4, '2022-07-31 09:12:34');
INSERT INTO `login` VALUES (74, 15, 9, '2022-06-24 22:43:02');
INSERT INTO `login` VALUES (75, 2, 4, '2021-10-03 19:47:32');
INSERT INTO `login` VALUES (76, 12, 9, '2022-05-29 06:01:49');
INSERT INTO `login` VALUES (77, 4, 9, '2022-03-12 17:38:06');
INSERT INTO `login` VALUES (78, 15, 3, '2021-09-08 17:33:11');
INSERT INTO `login` VALUES (79, 8, 4, '2021-11-24 13:10:10');
INSERT INTO `login` VALUES (80, 1, 7, '2022-06-14 20:56:03');
INSERT INTO `login` VALUES (81, 19, 2, '2022-05-15 14:52:50');
INSERT INTO `login` VALUES (82, 19, 4, '2021-10-13 02:46:04');
INSERT INTO `login` VALUES (83, 4, 2, '2021-11-20 12:45:47');
INSERT INTO `login` VALUES (84, 17, 5, '2022-03-29 09:18:37');
INSERT INTO `login` VALUES (85, 8, 6, '2022-05-27 21:34:21');
INSERT INTO `login` VALUES (86, 3, 3, '2022-01-27 03:27:58');
INSERT INTO `login` VALUES (87, 13, 9, '2022-07-04 20:29:30');
INSERT INTO `login` VALUES (88, 5, 1, '2021-10-11 14:53:18');
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INSERT INTO `login` VALUES (955, 9, 8, '2022-08-08 21:20:08');
INSERT INTO `login` VALUES (956, 18, 7, '2022-08-26 00:28:04');
INSERT INTO `login` VALUES (957, 16, 4, '2022-02-02 20:30:37');
INSERT INTO `login` VALUES (958, 3, 4, '2022-05-26 09:01:43');
INSERT INTO `login` VALUES (959, 7, 8, '2022-02-19 01:08:38');
INSERT INTO `login` VALUES (960, 7, 10, '2022-08-04 22:24:00');
INSERT INTO `login` VALUES (961, 5, 2, '2022-05-26 06:44:13');
INSERT INTO `login` VALUES (962, 10, 2, '2022-06-08 15:53:27');
INSERT INTO `login` VALUES (963, 17, 9, '2021-10-01 08:11:23');
INSERT INTO `login` VALUES (964, 12, 9, '2021-11-30 07:23:44');
INSERT INTO `login` VALUES (965, 2, 8, '2021-09-23 17:34:28');
INSERT INTO `login` VALUES (966, 12, 9, '2022-04-07 03:33:31');
INSERT INTO `login` VALUES (967, 8, 9, '2022-05-28 04:47:02');
INSERT INTO `login` VALUES (968, 7, 6, '2022-04-08 04:41:22');
INSERT INTO `login` VALUES (969, 2, 6, '2021-11-19 07:36:29');
INSERT INTO `login` VALUES (970, 15, 8, '2022-04-01 07:57:32');
INSERT INTO `login` VALUES (971, 11, 5, '2022-01-02 02:09:38');
INSERT INTO `login` VALUES (972, 20, 6, '2022-05-23 17:13:57');
INSERT INTO `login` VALUES (973, 4, 3, '2022-02-18 07:06:08');
INSERT INTO `login` VALUES (974, 14, 7, '2022-02-23 13:10:24');
INSERT INTO `login` VALUES (975, 6, 4, '2022-02-12 20:16:20');
INSERT INTO `login` VALUES (976, 7, 8, '2022-05-26 19:26:53');
INSERT INTO `login` VALUES (977, 10, 7, '2022-02-07 11:44:07');
INSERT INTO `login` VALUES (978, 10, 5, '2022-07-12 19:54:13');
INSERT INTO `login` VALUES (979, 15, 9, '2021-11-09 12:46:46');
INSERT INTO `login` VALUES (980, 11, 7, '2022-04-27 08:55:04');
INSERT INTO `login` VALUES (981, 2, 7, '2022-07-11 04:41:29');
INSERT INTO `login` VALUES (982, 15, 4, '2022-02-07 04:47:59');
INSERT INTO `login` VALUES (983, 17, 9, '2021-12-29 19:45:29');
INSERT INTO `login` VALUES (984, 14, 2, '2021-09-09 14:57:44');
INSERT INTO `login` VALUES (985, 2, 1, '2021-10-28 05:49:44');
INSERT INTO `login` VALUES (986, 19, 9, '2022-03-29 15:36:46');
INSERT INTO `login` VALUES (987, 13, 2, '2021-11-28 07:56:13');
INSERT INTO `login` VALUES (988, 19, 10, '2022-03-25 22:29:57');
INSERT INTO `login` VALUES (989, 1, 10, '2022-01-13 03:43:28');
INSERT INTO `login` VALUES (990, 7, 8, '2021-10-12 22:03:57');
INSERT INTO `login` VALUES (991, 19, 7, '2022-04-21 04:41:05');
INSERT INTO `login` VALUES (992, 14, 4, '2022-02-14 08:43:54');
INSERT INTO `login` VALUES (993, 6, 10, '2022-07-17 07:43:57');
INSERT INTO `login` VALUES (994, 5, 3, '2022-05-10 12:02:09');
INSERT INTO `login` VALUES (995, 4, 2, '2022-07-01 21:47:01');
INSERT INTO `login` VALUES (996, 19, 1, '2021-12-02 07:12:24');
INSERT INTO `login` VALUES (997, 10, 1, '2022-04-17 21:59:02');
INSERT INTO `login` VALUES (998, 15, 2, '2021-09-05 10:42:18');
INSERT INTO `login` VALUES (999, 4, 3, '2022-04-24 05:04:10');
INSERT INTO `login` VALUES (1000, 13, 5, '2022-03-12 09:10:38');SET FOREIGN_KEY_CHECKS = 1;