Php MySQL查询和子查询

我有这样一个问题：

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')

但这个查询的结果是：

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

USD列显示所有记录的摘要。为什么？

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')

选择SUM（price）作为GINTO，
总和（价格为“200000”时，则为1，否则为0结束*9.99）+
总和（价格为“60000”时，则为1，否则为0结束*3.99）+
总和（当价格为“24000”时，则为1，否则为0结束*1.99）+
以美元表示的金额（价格为11000，则为1，否则为0结束*0.99），
日期\u格式（日期，%Y-%m-%d'）作为sms \u日志中的日期
其中DATE>='2015-03-20'和DATE您的
count
调用在单独的查询中运行，没有
group by
子句，因此它们应用于整个表，而不考虑“main”查询的占用。解决此问题的一种方法是去掉子查询并将它们放入“主”查询：

选择SUM（price）作为GINTO，
金额（当“200000”时，则为9.99
当‘60000’时，则为3.99
当“24000”时，则为1.99
当“11000”时，则为0.99
(完)美元,，
日期\u格式（日期，%Y-%m-%d'）作为日期
从sms_日志
其中日期>='2015-03-20'和日期您可以在下面的查询中尝试-

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)

选择SUM（price）作为GINTO，
（计数（如果（价格=200000'，价格为空））*9.99+
计数（如果（price='60000'，price，NULL））*3.99+
计数（如果（price='24000'，price，NULL））*1.99+
以美元计算（如果（价格=11000'，价格为空））*0.99，
日期格式（日期列，%Y-%m-%d'）为“日期”
从sms_日志
如果date_col>='2015-03-20'和date_col，您需要提供一些样本数据和预期结果集的逻辑，最好是中的样本数据
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')

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)