MySQL 如何连接字段

要在MySQL中连接字段，您可以使用GROUP_CONCAT（）以及GROUP BY。让我们首先创建一个表 –

mysql> create table DemoTable
  (
  StudentId int NOT NULL AUTO_INCREMENT PRIMARY KEY,
  StudentName varchar(30),
  StudentScore int
  );
Query OK, 0 rows affected (0.51 sec)

使用insert命令将记录插入表中 –

mysql> insert into DemoTable( StudentName,StudentScore) values('Bob',80);
Query OK, 1 row affected (0.16 sec)
mysql> insert into DemoTable( StudentName,StudentScore) values('Bob',80);
Query OK, 1 row affected (0.15 sec)
mysql> insert into DemoTable( StudentName,StudentScore) values('Chris',90);
Query OK, 1 row affected (0.13 sec)
mysql> insert into DemoTable( StudentName,StudentScore) values('Chris',70);
Query OK, 1 row affected (0.13 sec)
mysql> insert into DemoTable( StudentName,StudentScore) values('Bob',50);
Query OK, 1 row affected (0.17 sec)
mysql> insert into DemoTable( StudentName,StudentScore) values('David',60);
Query OK, 1 row affected (0.23 sec)
mysql> insert into DemoTable( StudentName,StudentScore) values('Chris',99);
Query OK, 1 row affected (0.09 sec)
mysql> insert into DemoTable( StudentName,StudentScore) values('David',88);
Query OK, 1 row affected (0.18 sec)

使用select语句显示表中的所有记录 –

mysql> select * from DemoTable;

这将产生以下输出 –

+-----------+-------------+--------------+
| StudentId | StudentName | StudentScore |
+-----------+-------------+--------------+
| 1         | Bob         | 80           |
| 2         | Bob         | 80           |
| 3         | Chris       | 90           |
| 4         | Chris       | 70           |
| 5         | Bob         | 50           |
| 6         | David       | 60           |
| 7         | Chris       | 99           |
| 8         | David       | 88           |
+-----------+-------------+--------------+
8 rows in set (0.00 sec)

以下是在MySQL中连接字段的查询 –

mysql> select
StudentName, group_concat(StudentScore separator ',') as Score
from DemoTable
group by StudentName;

这将产生以下输出 –

+-------------+----------+
| StudentName | Score    |
+-------------+----------+
| Bob         | 80,80,50 |
| Chris       | 90,70,99 |
| David       | 60,88    |
+-------------+----------+
3 rows in set (0.24 sec)

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