我在mysql中有一个表,包含以下列:
mysql - 将列转换为mysql中的三个新列-LMLPHP
数据示例:

'16', '1', 'Evening', '6.00', '2014-06-05 08:14:35', '2014-06-04', '6.00'
'17', '2', 'Afternoon', '8.00', '2014-06-05 08:15:29', '2014-06-04', '8.00'
'18', '3', 'Afternoon', '4.00', '2014-06-05 08:17:32', '2014-06-04', '4.00'
'19', '4', 'Afternoon', '4.00', '2014-06-05 08:18:25', '2014-06-04', '4.00'
'20', '17', 'Morning', '2.00', '2014-06-05 09:11:40', '2014-06-05', '2.00'
'21', '17', 'Morning', '3.00', '2014-06-05 09:16:36', '2014-06-04', '3.00'
'22', '17', 'Evening', '2.00', '2014-06-05 09:17:43', '2014-06-04', '2.00'
'23', '19', 'Morning', '1.00', '2014-06-05 10:12:47', '2014-06-05', '1.00'
'24', '20', 'Morning', '2.00', '2014-06-05 10:16:02', '2014-06-05', '2.00'
'25', '22', 'Morning', '2.00', '2014-06-05 10:27:34', '2014-06-05', '2.00'
'26', '23', 'Morning', '2.00', '2014-06-05 10:28:08', '2014-06-05', '2.00'
'27', '24', 'Morning', '1.00', '2014-06-05 10:30:20', '2014-06-05', '1.00'
'28', '27', 'Morning', '1.00', '2014-06-05 10:43:12', '2014-06-05', '1.00'
'29', '27', 'Combined', '2.00', '2014-06-05 10:45:45', '2014-06-04', '2.00'
'31', '28', 'Morning', '3.00', '2014-06-05 11:04:32', '2014-06-05', '3.00'

我想把时间列调换一下,这样晚上、下午和早上就有了三个新的列,并记录下数量,使这些列看起来像
id, cow_id, Evening, Afternoon, Morning, date_added, date,quantity_type
有人能给我一个解决方案,如何进行这个与mysql查询?

最佳答案

如果你想在一条线上有一个给定日期的所有奶牛饲料,你可以试试这样的方法:

SELECT cow_id,
    SUM(CASE time WHEN 'Evening' THEN quantity ELSE 0 END) AS Evening,
    SUM(CASE time WHEN 'Afternoon' THEN quantity ELSE 0 END) AS Afternoon,
    SUM(CASE time WHEN 'Morning' THEN quantity ELSE 0 END) AS Morning,
    SUM(CASE time WHEN 'Combined' THEN quantity ELSE 0 END) AS Combined,
    `date`
FROM cows
GROUP BY cow_id, date

对于您的示例数据,这将给出这样的结果(注意,我必须为“组合”时间添加另一列):
cow_id  Evening Afternoon   Morning Combined    date
1       6       0           0       0           2014-06-04
2       0       8           0       0           2014-06-04
3       0       4           0       0           2014-06-04
4       0       4           0       0           2014-06-04
17      2       0           3       0           2014-06-04
17      0       0           2       0           2014-06-05
19      0       0           1       0           2014-06-05
20      0       0           2       0           2014-06-05
22      0       0           2       0           2014-06-05
23      0       0           2       0           2014-06-05
27      0       0           0       2           2014-06-04
27      0       0           1       0           2014-06-05
28      0       0           3       0           2014-06-05

10-04 10:54