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
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。