MySQL 查询和子查询

Question

我有这样的查询：

SELECT SUM(price) AS GINTO,
(
   (SELECT COUNT(price)*9.99 FROM sms_logs WHERE price = '200000')+
   (SELECT COUNT(price)*3.99 FROM sms_logs WHERE price = '60000')+
   (SELECT COUNT(price)*1.99 FROM sms_logs WHERE price = '24000')+
   (SELECT COUNT(price)*0.99 FROM sms_logs WHERE price = '11000')
) AS USD,
DATE_FORMAT(DATE,'%Y-%m-%d') AS DATE FROM sms_logs 
WHERE DATE >='2015-03-20' AND DATE <= '2015-04-30'
GROUP BY DATE_FORMAT(DATE,'%Y-%m-%d')

我想将数据显示为：

 GINTO  ||   USD  ||   DATE
2222000 ||   200  || 2015-03-23
3366000 ||   300  || 2015-03-24
11000   ||   10   || 2015-03-25

但是该查询的结果：

 GINTO  ||   USD ||   DATE
2222000 || 284.65|| 2015-03-23
3366000 || 284.65|| 2015-03-24
11000   || 284.65|| 2015-03-25

美元列显示所有记录的摘要。为什么？

Answer 1

试试这个

SELECT SUM(price) AS GINTO,
SUM(case when price = '200000' then 1 else 0 end*9.99)+
SUM(case when price = '60000' then 1 else 0 end*3.99)+
SUM(case when price = '24000' then 1 else 0 end*1.99)+
SUM(case when price = '11000' then 1 else 0 end*0.99) AS USD,
DATE_FORMAT(DATE,'%Y-%m-%d') AS DATE FROM sms_logs 
WHERE DATE >='2015-03-20' AND DATE <= '2015-04-30'
GROUP BY DATE_FORMAT(DATE,'%Y-%m-%d')

Answer 2

您的 count 调用在单独的查询中运行，没有 group by 子句，因此它们将应用于整个 table，而不考虑 [=15] =] 查询的分组。解决这个问题的一种方法是摆脱子查询并将它们带入 "main" 查询：

SELECT   SUM(price) AS GINTO,
         SUM(CASE price WHEN '200000' THEN 9.99
                        WHEN '60000'  THEN 3.99
                        WHEN '24000'  THEN 1.99
                        WHEN '11000'  THEN 0.99
              END) AS usd,
         DATE_FORMAT(date, '%Y-%m-%d') AS date 
FROM     sms_logs 
WHERE    date >='2015-03-20' AND date <= '2015-04-30'
GROUP BY DATE_FORMAT(date,'%Y-%m-%d')

Answer 3

您可以尝试以下查询-

SELECT SUM(price) AS GINTO, 
      (COUNT(IF(price='200000',price,NULL))*9.99 +  
       COUNT(IF(price='60000',price,NULL))*3.99 + 
       COUNT(IF(price='24000',price,NULL))*1.99 + 
       COUNT(IF(price='11000',price,NULL))*0.99) AS USD, 
DATE_FORMAT(date_col,'%Y-%m-%d') AS 'Date' 
FROM sms_logs 
WHERE date_col >='2015-03-20' AND date_col <= '2015-04-30'
GROUP BY DATE(date_col)

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