MYSQL实战：GROUP BY分组取最新的一条记录
日常开发当中，经常会遇到查询分组数据中最新的一条记录，比如统计当前系统每个人的最新登录记录、外卖系统统计所有买家最新的一次订单记录、图书管理系统借阅者最新借阅书籍的记录等等。今天给大家介绍一下如何实现以上场景的SQL写法，希望对大家能有所帮助！
1、初始化数据表
-- 借阅者表
CREATE TABLE `userinfo` (
`uid` int(11) NOT NULL AUTO_INCREMENT COMMENT '主键',
`uname` varchar(20) NOT NULL COMMENT '姓名',
`uage` int(11) NOT NULL COMMENT '年龄',
PRIMARY KEY (`uid`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=8 DEFAULT CHARSET=utf8 ROW_FORMAT=COMPACT;
INSERT INTO `userinfo` VALUES (1, '小明', 20);
INSERT INTO `userinfo` VALUES (2, '小张', 30);
INSERT INTO `userinfo` VALUES (3, '小李', 28);
-- 书籍表
CREATE TABLE `bookinfo` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '主键',
`book_no` varchar(20) NOT NULL COMMENT '书籍编号',
`book_name` varchar(20) NOT NULL COMMENT '书籍名称',
PRIMARY KEY (`id`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=14 DEFAULT CHARSET=utf8 ROW_FORMAT=COMPACT;
INSERT INTO `bookinfo` VALUES (1, 'ISBN001', '计算机基础');
INSERT INTO `bookinfo` VALUES (2, 'ISBN002', '计算机网络');
INSERT INTO `bookinfo` VALUES (3, 'ISBN003', '高等数学');
INSERT INTO `bookinfo` VALUES (4, 'ISBN004', '明朝那些事');
INSERT INTO `bookinfo` VALUES (5, 'ISBN005', '物理');
INSERT INTO `bookinfo` VALUES (13, 'ISBN006', '读者');
-- 借阅记录表
CREATE TABLE `borrow_record` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '主键',
`user_id` int(11) NOT NULL COMMENT '用户id',
`book_id` int(11) NOT NULL COMMENT '书籍id',
`borrowtime` datetime NOT NULL COMMENT '书籍id',
PRIMARY KEY (`id`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=16 DEFAULT CHARSET=utf8 ROW_FORMAT=COMPACT;
INSERT INTO `borrow_record` VALUES (8, 1, 2, '2021-05-01 10:52:00');
INSERT INTO `borrow_record` VALUES (9, 2, 4, '2021-07-12 23:32:00');
INSERT INTO `borrow_record` VALUES (10, 2, 1, '2021-03-21 09:00:00');
INSERT INTO `borrow_record` VALUES (11, 1, 3, '2021-08-11 17:39:00');
INSERT INTO `borrow_record` VALUES (12, 1, 5, '2021-09-02 18:12:00');
INSERT INTO `borrow_record` VALUES (13, 3, 1, '2021-07-06 12:32:00');
INSERT INTO `borrow_record` VALUES (14, 2, 1, '2021-08-09 10:10:00');
INSERT INTO `borrow_record` VALUES (15, 4, 3, '2021-04-15 19:45:00'
