COALESCE SUM GROUP?

时间:2008-11-04 23:07:25

标签: sql mysql

好的。我有一个看起来像这样的查询:

SELECT
    SUM(`order_items`.`quantity`) as `count`,
    `menu_items`.`name`
FROM 
    `orders`,
    `menu_items`,
    `order_items` 
WHERE 
    `orders`.`id` = `order_items`.`order_id` AND 
    `menu_items`.`id` = `order_items`.`menu_item_id` AND 
    `orders`.`date` >= '2008-11-01' AND 
    `orders`.`date` <= '2008-11-30' 
GROUP BY 
    `menu_items`.`id`

此查询的目的是显示在给定日期范围内销售的商品数量。虽然这有效但我现在需要它显示count 0如果特定项目在日期范围内没有销售。我尝试在COALESCE周围使用SUM但是没有做到这一点,我并没有真正期待它。无论如何,有谁知道我将如何实现这一目标?我有其中一个时刻,我觉得我应该知道这一点,但我想不出来。

干杯

2 个答案:

答案 0 :(得分:5)

如果将日期条件放在JOIN子句中,则可以在没有任何子查询的情况下完成此操作。

以下是我在MySQL 5.0上测试的代码。

SELECT m.name, COALESCE(SUM(oi.quantity), 0) AS count
FROM menu_items AS m
  LEFT OUTER JOIN (
    order_items AS oi JOIN orders AS o
      ON (o.id = oi.order_id)
  ) ON (m.id = oi.menu_item_id
      AND o.`date` BETWEEN '2008-11-01' AND '2008-11-30')
GROUP BY m.id;

输出:

+--------+-------+
| name   | count |
+--------+-------+
| bread  |     2 | 
| milk   |     1 | 
| honey  |     2 | 
| cheese |     0 | 
+--------+-------+

以下是MySQL风格中的DDL和设置代码:

DROP TABLE IF EXISTS menu_items;
CREATE TABLE menu_items (
  id            INT PRIMARY KEY,
  name          VARCHAR(10)
) TYPE=InnoDB;

DROP TABLE IF EXISTS orders;
CREATE TABLE orders (
  id            INT PRIMARY KEY,
  `date`        DATE
) TYPE=InnoDB;

DROP TABLE IF EXISTS order_items;
CREATE TABLE order_items (
  order_id      INT,
  menu_item_id  INT,
  quantity      INT,
  PRIMARY KEY (order_id, menu_item_id),
  FOREIGN KEY (order_id) REFERENCES orders(id),
  FOREIGN KEY (menu_item_id) REFERENCES menu_items(id)
) TYPE=InnoDB;

INSERT INTO menu_items VALUES
  (1, 'bread'),
  (2, 'milk'),
  (3, 'honey'),
  (4, 'cheese');

INSERT INTO orders VALUES
  (1, '2008-11-02'),
  (2, '2008-11-03'),
  (3, '2008-10-29');

INSERT INTO order_items VALUES
  (1, 1, 1),
  (1, 3, 1),
  (2, 1, 1),
  (2, 2, 1),
  (2, 3, 1),
  (3, 4, 10);

答案 1 :(得分:3)

Randy的答案很接近,但where语句删除了那些不属于该日期范围内任何订单的项目。

请注意,“left join”不同于以您完成的方式链接where子句中的表(即内部联接)。我建议你阅读不同类型的SQL连接(内部,外部,交叉)。

在本质上,您需要将您从Randy的查询中获得的数据与源项目列表相关联。使用子选择将执行此操作:

SELECT
    name
    , nvl(count, 0) as count
FROM 
    menu_items items 
    LEFT JOIN (
        SELECT
            menu_items.id
            , SUM(order_items.quantity) as count
        FROM 
            menu_items
            LEFT JOIN order_items ON menu_items.id = order_items.menu_item_id
            LEFT JOIN orders ON orders.id = order_items.order_id
        WHERE
            "date" between to_date('2008-11-01','YYYY-MM-DD') and to_date('2008-11-30','YYYY-MM-DD')
        GROUP BY
            menu_items.id
    ) counts on items.id = counts.id;

这是在Oracle 10g BTW中。我怀疑你是否在使用Oracle,因此你需要转换为自己的数据库。

运行测试显示以下内容:

SQL> create table menu_items ( id number, name varchar2(10));
create table order_items (order_id number, menu_item_id number, quantity number);
create table orders (id number, "date" date);

Table created.

SQL> 
Table created.

SQL> 
Table created.

SQL> 
insert into menu_items values (1, 'bread');
insert into menu_items values (2, 'milk');
insert into menu_items values (3, 'honey');
insert into menu_items values (4, 'cheese');
SQL> 
1 row created.

SQL> 
1 row created.

SQL> 
1 row created.

SQL> 
1 row created.

SQL> 
insert into orders values (1, to_date('2008-11-02', 'YYYY-MM-DD'));
insert into orders values (2, to_date('2008-11-03', 'YYYY-MM-DD'));
insert into orders values (3, to_date('2008-10-29', 'YYYY-MM-DD'));SQL> 
1 row created.

SQL> 
1 row created.

SQL> 
insert into order_items values (1, 1, 1);
insert into order_items values (1, 3, 1);
1 row created.

SQL> 
1 row created.

SQL> 
insert into order_items values (2, 1, 1);
insert into order_items values (2, 2, 1);
insert into order_items values (2, 3, 1);

insert into order_items values (3, 4, 10);
1 row created.

SQL> 
1 row created.

SQL> 
1 row created.

SQL> 
1 row created.

SQL> SQL> 

1 row created.

SQL> 
SELECT
    name
    , nvl(count, 0) as count
FROM 
    menu_items items 
    LEFT JOIN (
        SELECT
            menu_items.id
            , SUM(order_items.quantity) as count
        FROM 
            menu_items
            LEFT JOIN order_items ON menu_items.id = order_items.menu_item_id
            LEFT JOIN orders ON orders.id = order_items.order_id
        WHERE
            "date" between to_date('2008-11-01','YYYY-MM-DD') and to_date('2008-11-30','YYYY-MM-DD')
        GROUP BY
            menu_iteSQL>   2    3    4    5    6    7  ms.id
    ) counts on items.id = counts.id;  8    9   10   11   12   13   14   15   16   17   18  

NAME            COUNT
---------- ----------
bread               2
milk                1
honey               2
cheese              0

SQL> 
drop table menu_items;
drop table order_items;
drop table orders;SQL> 
Table dropped.

SQL> 
Table dropped.

SQL> 

Table dropped.

SQL> 

PS:使用'date'作为列名是不好的做法,因为它(在大多数情况下)是一个类型名称,可能会导致查询和解析出现问题。