我写了并想结合这两个sql,一个是基于另一个的结果。我检查了this post,但看起来不是基于结果的。我怎么能实现它?
第一个sql:
SELECT
`potential`.*,
`customer`.`ID` as 'FID_customer'
FROM
`os_potential` as `potential`,
`os_customer` as `customer`
WHERE `potential`.`FID_author` = :randomID
AND `potential`.`converted` = 1
AND `potential`.`street` = `customer`.`street`
AND `potential`.`zip` = `customer`.`zip`
AND `potential`.`city` = `customer`.`city`;
第二个sql:
SELECT
sum(`order`.`price_customer`) as 'Summe'
FROM
`os_order` as `order`,
`RESUTS_FROM_PREVIOUS_SQL_STATEMENT` as `results`
WHERE `order`.`FID_status` = 10
AND `results`.`FID_customer` = `order`.`FID_customer`;
我想从第一个sql +' Summe'中获取所有内容。来自第二个sql。
TABLES
1.Potentials:
+----+------------+-----------+--------+-----+------+
| ID | FID_author | converted | street | zip | city |
+----+------------+-----------+--------+-----+------+
2.Customers:
+----+--------+-----+------+
| ID | street | zip | city |
+----+--------+-----+------+
3.Orders:
+----+--------------+----------------+
| ID | FID_customer | price_customer |
+----+--------------+----------------+
答案 0 :(得分:3)
SELECT p.*
, c.ID FID_customer
, o.summe
FROM os_potential p
JOIN os_customer c
ON c.street = p.street
AND c.zip = p.zip
AND c.city = p.city
JOIN
( SELECT FID_customer
, SUM(price_customer) Summe
FROM os_order
WHERE FID_status = 10
GROUP
BY FID_customer
) o
ON o.FID_customer = c.ID
WHERE p.FID_author = :randomID
AND p.converted = 1
;
答案 1 :(得分:2)
您只需编写一个这样的查询:
SELECT sum(o.price_customer) as Summe
FROM os_order o JOIN
os_potential p JOIN
os_customer c
ON p.street = c.street AND p.zip = c.zip AND p.city = c.city JOIN
os_order o2
ON o2.FID_customer = c.FID_customer
WHERE p.FID_author = :randomID AND p.converted = 1 AND
o2.FID_status = 10 ;
注意:
FROM
子句中使用逗号。 始终对JOIN
子句中的条件使用显式ON
语法。答案 2 :(得分:1)
如果第一个查询为每个客户返回1条记录,那么只需加入3个表,保留总和并使用group by
子句:
SELECT
`potential`.*,
`customer`.`ID` as 'FID_customer',
sum(`order`.`price_customer`) as Summe
FROM
`os_potential` as `potential`
INNER JOIN
`os_customer` as `customer`
ON `potential`.`street` = `customer`.`street`
AND `potential`.`zip` = `customer`.`zip`
AND `potential`.`city` = `customer`.`city`
LEFT JOIN
`os_order` as `order`
ON `results`.`FID_customer` = `order`.`FID_customer`
AND `order`.`FID_status` = 10
WHERE `potential`.`FID_author` = :randomID
AND `potential`.`converted` = 1
GROUP BY `customer`.`ID`, <list all fields from potential table>
如果第一个查询可能会为每个客户返回多条记录,那么您需要在子查询中进行求和:
SELECT
`potential`.*,
`customer`.`ID` as 'FID_customer',
`order`.Summe
FROM
`os_potential` as `potential`
INNER JOIN
`os_customer` as `customer`
ON `potential`.`street` = `customer`.`street`
AND `potential`.`zip` = `customer`.`zip`
AND `potential`.`city` = `customer`.`city`
LEFT JOIN
(SELECT FID_customer, sum(price_customer) as Summe
FROM `os_order`
WHERE FID_status=10
GROUP BY FID_customer
) as `order`
ON `results`.`FID_customer` = `order`.`FID_customer`
WHERE `potential`.`FID_author` = :randomID
AND `potential`.`converted` = 1
答案 3 :(得分:0)
我认为你应该使用一个子选择,但要注意结果的数量,它不是最好的表现。
您可以这样做:
SELECT n1, n2, (select count(1) from whatever_table) as n3, n4 from whatever_table
请注意,subselect必须只返回1个结果,否则你会有错误