MySQL查询:Group By 后取出每一组中最大的数据
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环境:MySQL5.7版本
先生成一组测试数据
public static int randAge(){ return new Random().nextInt(100); } public static char randScore(){ int i = new Random().nextInt(4) + 65; return (char)i; } public static String randName(){ StringBuilder s = new StringBuilder(); for (int i = 0; i < 3; i++){ s.append((char) (0x4e00 + (int) (Math.random() * (0x9fa5 - 0x4e00 + 1)))); } return s.toString(); } public static void main(String[] args) { for(int i = 1; i <= 20; i++){ System.out.println("INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES ("+ i +", ‘"+ randName() +"‘, "+ randAge() +", ‘"+ randScore() +"‘);"); } }
比如:
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (1, ‘襠醞奪‘, 70, ‘C‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (2, ‘穟玔檠‘, 77, ‘C‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (3, ‘繜翿宽‘, 11, ‘A‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (4, ‘敕搢謝‘, 55, ‘A‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (5, ‘薰舒翎‘, 86, ‘D‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (6, ‘贿怆軻‘, 31, ‘B‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (7, ‘踰齁陈‘, 26, ‘D‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (8, ‘溧况癈‘, 94, ‘B‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (9, ‘捳縇睢‘, 38, ‘D‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (10, ‘漲堔杙‘, 0, ‘C‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (11, ‘輪塶讣‘, 13, ‘B‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (12, ‘刪庝熽‘, 53, ‘B‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (13, ‘鄀乹聐‘, 90, ‘D‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (14, ‘婈谂畛‘, 52, ‘B‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (15, ‘甔鼖苫‘, 96, ‘D‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (16, ‘刘卟卅‘, 55, ‘A‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (17, ‘够負饶‘, 3, ‘D‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (18, ‘瀠禮翍‘, 14, ‘A‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (19, ‘仉余淳‘, 5, ‘C‘);
INSERT INTO `student`(`id`, `name`, `age`, `score`) VALUES (20, ‘坛唧笶‘, 59, ‘C‘);
思路
1. 先来个最简单的分组,找出每一组最大的
mysql> select score,max(age) age from student group by score; +-------+-----+ | score | age | +-------+-----+ | A | 55 | | B | 94 | | C | 77 | | D | 96 | +-------+-----+ 4 rows in set (0.03 sec)
但是这样无法得知id和name。
2. 来个左连接查询
mysql> select a.id, a.name, a.age, a.score, b.age, b.score from student a left join (select score,max(age) age from student group by score) b on a.score = b.score and a.age = b.age; +----+--------+-----+-------+------+-------+ | id | name | age | score | age | score | +----+--------+-----+-------+------+-------+ | 4 | 敕搢謝 | 55 | A | 55 | A | | 16 | 刘卟卅 | 55 | A | 55 | A | | 8 | 溧况癈 | 94 | B | 94 | B | | 2 | 穟玔檠 | 77 | C | 77 | C | | 15 | 甔鼖苫 | 96 | D | 96 | D | | 1 | 襠醞奪 | 70 | C | NULL | NULL | | 3 | 繜翿宽 | 11 | A | NULL | NULL | | 5 | 薰舒翎 | 86 | D | NULL | NULL | | 6 | 贿怆軻 | 31 | B | NULL | NULL | | 7 | 踰齁陈 | 26 | D | NULL | NULL | | 9 | 捳縇睢 | 38 | D | NULL | NULL | | 10 | 漲堔杙 | 0 | C | NULL | NULL | | 11 | 輪塶讣 | 13 | B | NULL | NULL | | 12 | 刪庝熽 | 53 | B | NULL | NULL | | 13 | 鄀乹聐 | 90 | D | NULL | NULL | | 14 | 婈谂畛 | 52 | B | NULL | NULL | | 17 | 够負饶 | 3 | D | NULL | NULL | | 18 | 瀠禮翍 | 14 | A | NULL | NULL | | 19 | 仉余淳 | 5 | C | NULL | NULL | | 20 | 坛唧笶 | 59 | C | NULL | NULL | +----+--------+-----+-------+------+-------+ 20 rows in set (0.08 sec)
左面的是原数据表的内容,右面多出来的两行是我们分组统计之后的数据。
3. 两个查询调换位置或者用右连接查询,再加个排序
mysql> select a.id, a.name, b.age, b.score from student a right join (select score,max(age) age from student group by score) b on a.score = b.score and a.age = b.age order by b.score; +----+--------+-----+-------+ | id | name | age | score | +----+--------+-----+-------+ | 4 | 敕搢謝 | 55 | A | | 16 | 刘卟卅 | 55 | A | | 8 | 溧况癈 | 94 | B | | 2 | 穟玔檠 | 77 | C | | 15 | 甔鼖苫 | 96 | D | +----+--------+-----+-------+ 5 rows in set (0.07 sec)
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