如果没有行 return 具有来自其他表的连接条件值,则选择默认行

Selecting default row if no rows return with join condition values from other tables

我有两个 tables ORDERSRATE:

CREATE TABLE ORDERS
(   ID NUMBER(12,0), 
    DOW NUMBER(12,0), 
    COUNT NUMBER(12,0)
);

CREATE TABLE RATE
(   ID NUMBER(12,0), 
    DOW NUMBER(12,0), 
    RATE NUMBER(12,0)
);
INSERT INTO ORDERS (ID, DOW, COUNT) VALUES ('1', '1', '5');
INSERT INTO ORDERS (ID, DOW, COUNT) VALUES ('1', '3', '7');
INSERT INTO ORDERS (ID, DOW, COUNT) VALUES ('2', '1', '2');
INSERT INTO RATE (ID, DOW, RATE) VALUES ('1', '1', '10');
INSERT INTO RATE (ID, DOW, RATE) VALUES ('1', '2', '20');
INSERT INTO RATE (ID, DOW, RATE) VALUES ('1', '0', '50');

并且我想获得 table ORDERS 中所有订单的成本,因为默认费率 10 用于那些在 RATE table 中没有费率的订单对于相应的 id,如果一个 id 在 RATE table 中可用,但没有该 id 的某个 dow 的可用率,则该 id 始终可用 dow 0 的默认率。

对于上面的示例,预期会出现以下情况:

id  dow   cost
--------------
1    1     50
1    3     350
2    1     20

请注意,id=1 和 dow = 3 的 350 来自计数 7 乘以 id=1 和 dow=0 的比率 50,因为在 table。我尝试了以下方法但没有成功:

SELECT o.id, o.dow, o.count*(coalesce(r.rate, 10)) as cost
FROM orders o
left join rate r
on r.id = o.id
and  r.dow = o.dow
;

下面编译错误:

ORA-00904: "O"."DOW": invalid identifier

  1. 00000 - "%s: invalid identifier"
SELECT o.id ,o.dow ,o.count * (coalesce(r.rate, 10)) cost
FROM orders o
LEFT JOIN (
    SELECT id, dow, rate
    FROM rate
    WHERE id = o.id
        AND dow = o.dow
    
    UNION ALL
    
    SELECT id ,dow ,rate
    FROM rate
    WHERE id = o.id
        AND dow = 0
        AND NOT EXISTS (
            SELECT 1
            FROM rate
            WHERE id = o.id
                AND dow = o.dow
            )
    ) r
    ON r.id = o.id
;

有人可以帮忙查询吗?

您可以使用多个 outer joinsRATE table 来获取所需的结果,如下所示:

SQL> SELECT
  2      O.ID,
  3      O.DOW,
  4      O.COUNT * COALESCE(R.RATE, RD.RATE) AS COST
  5  FROM
  6      ORDERS O
  7      LEFT JOIN RATE R ON ( O.DOW = R.DOW )
  8      LEFT JOIN RATE RD ON ( R.ID IS NULL
  9                             AND RD.DOW = 0 )
 10  ORDER BY O.ID;

        ID        DOW       COST
---------- ---------- ----------
         1          1         50
         1          3        350
         2          1         20

SQL>

干杯!!