我有这样的表:
date|status|value
日期是日期, 状态为1表示挂起,2表示已确认 和值是订单的价值
我想获得3列:
date|#status pending|#status pending+confirmed
数据示例:
+------------+-----------------+-----------------+
| date | status | value |
+------------+-----------------+-----------------+
| 2015-11-17 | 1 | 89|
| 2015-11-16 | 1 | 6 |
| 2015-11-16 | 2 | 16 |
| 2015-11-16 | 2 | 26 |
| 2015-11-15 | 2 | 26 |
| 2015-11-14 | 2 | 24 |
+------------+-----------------+-----------------+
我想要的例子:
+------------+-----------------+-----------------+
| date | confirmed |confirmed+pending|
+------------+-----------------+-----------------+
| 2015-11-17 | 0 | 1 |
| 2015-11-16 | 2 | 3 |
| 2015-11-15 | 1 | 1 |
| 2015-11-14 | 1 | 1 |
+------------+-----------------+-----------------+
我正在尝试:
SELECT array1.DATE
,array1.confirmed
,array2.total
FROM (
SELECT DATE (DATE) AS DATE
,count(value) AS confirmed
FROM Orders
WHERE STATUS = '2'
GROUP BY DATE (DATE) DESC limit 5
) AS array1
INNER JOIN (
SELECT DATE (DATE) AS DATE
,count(value) AS total
FROM Orders
GROUP BY DATE (DATE) DESC limit 5
) AS array2
但是我每个日期得到4个结果,重复确认值和不同的总交易。
如果我尝试分开,我可以得到两个正确的信息:
将仅列出过去5天的已确认订单总和:
SELECT array1.DATE
,array1.confirmed
,array2.total
FROM (
SELECT DATE (DATE) AS DATE
,count(valor) AS confirmed
FROM Orders
WHERE STATUS = '2'
GROUP BY DATE (DATE) DESC limit 5;
)
将列出过去5天所有订单的总和:
SELECT DATE (DATE) AS DATE
,count(valor) AS total
FROM Orders
GROUP BY DATE (DATE) DESC limit 5
我观察到至少一个大问题:
有时我们会有一天有很多未确认的订单且零已确认,因此内部联接可能会失败。
答案 0 :(得分:0)
您在ON
中缺少INNER JOIN
条款。或者,因为在您的情况下,您加入的列在两侧都是相同的,您可以使用USING
:
SELECT array1.DATE
,array1.confirmed
,array2.total
FROM (
SELECT DATE (DATE) AS DATE
,count(value) AS confirmed
FROM Orders
WHERE STATUS = '2'
GROUP BY DATE (DATE) DESC limit 5
) AS array1
INNER JOIN (
SELECT DATE (DATE) AS DATE
,count(value) AS total
FROM Orders
GROUP BY DATE (DATE) DESC limit 5
) AS array2
USING (DATE)
答案 1 :(得分:0)
您可以使用CASE WHEN
,为了获得预期的输出,您已经给出了。
SELECT `date`,
(SUM(CASE WHEN `status`=1 THEN 1 ELSE 0 END)) AS Confirmed,
(SUM(CASE WHEN `status`=1 OR `status`=2 THEN 1 ELSE 0 END)) AS Confirmed_Pending
FROM
table_name
GROUP BY DATE(`date`) DESC
希望这有帮助。
答案 2 :(得分:0)
更简单的方法是使用case
表达式来评估状态是否是您想要计算的内容,并将count
函数应用于此:
SELECT DATE (`date`) AS `date`,
COUNT(CASE status WHEN 2 THEN 1 END) AS `confirmed`,
COUNT(CASE WHEN status IN (1, 2) THEN 1 END) AS `pending and confirmed`,
FROM orders
GROUP BY DATE (`date`) DESC