MySQL 查询如何计算 5 个表中具有相似列"UP"的总和?

mysqlmysqli database更新于 2024/12/8 3:56:17

为此,请使用 UNION ALL 和 SUM()。让我们创建 5 个表 −

mysql> create table DemoTable1977
   (
   UP int
   );
Query OK, 0 rows affected (0.00 sec)
mysql> insert into DemoTable1977 values(10);
Query OK, 1 row affected (0.00 sec)
mysql> insert into DemoTable1977 values(20);
Query OK, 1 row affected (0.00 sec)
mysql> select * from DemoTable1977;
+------+
| UP   |
+------+
|   10 |
|   20 |
+------+
2 rows in set (0.00 sec)
mysql> create table DemoTable1978
   (
   UP int
   );
Query OK, 0 rows affected (0.00 sec)
mysql> insert into DemoTable1978 values(30);
Query OK, 1 row affected (0.00 sec)
mysql> select * from DemoTable1978;
+------+
| UP   |
+------+
|   30 |
+------+
1 row in set (0.00 sec)
mysql> create table DemoTable1979
   (
   UP int
   );
Query OK, 0 rows affected (0.00 sec)
mysql> insert into DemoTable1979 values(40);
Query OK, 1 row affected (0.00 sec)
mysql> select * from DemoTable1979;
+------+
| UP   |
+------+
|   40 |
+------+
1 row in set (0.00 sec)
mysql> create table DemoTable1980
   (
   UP int
   );
Query OK, 0 rows affected (0.00 sec)
mysql> insert into DemoTable1980 values(50);
Query OK, 1 row affected (0.00 sec)
mysql> select * from DemoTable1980;
+------+
| UP   |
+------+
|   50 |
+------+
1 row in set (0.00 sec)
mysql> create table DemoTable1981
   (
   UP int
   );
Query OK, 0 rows affected (0.00 sec)
mysql> insert into DemoTable1981 values(60);
Query OK, 1 row affected (0.00 sec)
mysql> select * from DemoTable1981;
+------+
| UP   |
+------+
|   60 |
+------+
1 row in set (0.00 sec)

以下查询用于计算 5 个表的总和,其中只有一个列名为"UP" −

mysql> select  sum(TotalSum)
   from    (
      select sum(UP) as TotalSum
      from DemoTable1977
      union all
      select sum(UP)
      from DemoTable1978
      union all
      select sum(UP)
      from DemoTable1979
      union all
      select sum(UP)
      from DemoTable1980
      union all
      select sum(UP)
      from DemoTable1981
   
      ) tbl;

这将产生以下输出 −

+---------------+
| sum(TotalSum) |
+---------------+
|           210 |
+---------------+
1 row in set (0.00 sec)

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