因此,我有一个健康的每小时统计数据表,其中日期和时间是分开的,而不是保留为单个日期时间:
+-------+-------------+------------+----------+
| cakes | pies | day | hour |
+-------+-------------+------------+----------+
| 1 | 28 | 2012-02-21 | 20 |
| 0 | 14 | 2012-02-21 | 21 |
| 1 | 15 | 2012-02-21 | 22 |
| 1 | 11 | 2012-02-21 | 23 |
| 0 | 7 | 2012-02-22 | 0 |
| 0 | 9 | 2012-02-22 | 1 |
| 0 | 5 | 2012-02-22 | 2 |
| 0 | 8 | 2012-02-22 | 3 |
| 1 | 11 | 2012-02-22 | 4 |
| 0 | 11 | 2012-02-22 | 5 |
| 0 | 12 | 2012-02-22 | 6 |
| 1 | 19 | 2012-02-22 | 7 |
| 0 | 26 | 2012-02-22 | 8 |
| 0 | 20 | 2012-02-22 | 9 |
| 0 | 24 | 2012-02-22 | 10 |
| 2 | 26 | 2012-02-22 | 11 |
| 1 | 22 | 2012-02-22 | 12 |
| 1 | 24 | 2012-02-22 | 13 |
| 1 | 32 | 2012-02-22 | 14 |
| 0 | 25 | 2012-02-22 | 15 |
| 2 | 20 | 2012-02-22 | 16 |
| 0 | 24 | 2012-02-22 | 17 |
| 1 | 24 | 2012-02-22 | 18 |
| 0 | 15 | 2012-02-22 | 19 |
+-------+-------------+------------+----------+
我想从此表中进行时区敏感的选择,以便世界各地的人们可以随时了解我的蛋糕或馅饼配额。
这是我的查询,没有时区转换:
select cakes, pies, day, hour,
str_to_date(concat(day,' ',hour,':00'), '%Y-%m-%d %H:%i:%s') 'this' from stats where
str_to_date(concat(day,' ',hour,':00'), '%Y-%m-%d %H:%i:%s') between
str_to_date('2012-02-21 20:00:00', '%Y-%m-%d %H:%i:%s') and
str_to_date('2012-02-21 23:00:00', '%Y-%m-%d %H:%i:%s');
..返回上面数据集的前四行:
+-------+-------------+------------+----------+---------------------+
| cakes | pies | day | hour | this |
+-------+-------------+------------+----------+---------------------+
| 1 | 28 | 2012-02-21 | 20 | 2012-02-21 20:00:00 |
| 0 | 14 | 2012-02-21 | 21 | 2012-02-21 21:00:00 |
| 1 | 15 | 2012-02-21 | 22 | 2012-02-21 22:00:00 |
| 1 | 11 | 2012-02-21 | 23 | 2012-02-21 23:00:00 |
+-------+-------------+------------+----------+---------------------+
到目前为止一切顺利。现在我需要使这个时区敏感。假设我的服务器位于加利福尼亚州,而新西兰的某人在夏令时期间试图访问我从 2012-02-21 20:00:00 到 2012-02-21 23:00:00 的蛋糕和馅饼统计数据:
select cakes, pies, day, hour,
str_to_date(convert_tz(concat(day,' ',hour,':00'), '+13:00','-8:00'), '%Y-%m-%d %H:%i:%s') 'this' from stats where
str_to_date(convert_tz(concat(day,' ',hour,':00'), '+13:00','-8:00'), '%Y-%m-%d %H:%i:%s') between
str_to_date(convert_tz('2012-02-21 20:00:00', '+13:00','-8:00') , '%Y-%m-%d %H:%i:%s') and
str_to_date(convert_tz('2012-02-21 23:00:00', '+13:00','-8:00') , '%Y-%m-%d %H:%i:%s');
但奇怪的是:
+-------+-------------+------------+----------+---------------------+
| cakes | pies | day | hour | this |
+-------+-------------+------------+----------+---------------------+
| 1 | 28 | 2012-02-21 | 20 | 2012-02-20 23:00:00 |
| 0 | 14 | 2012-02-21 | 21 | 2012-02-21 00:00:00 |
| 1 | 15 | 2012-02-21 | 22 | 2012-02-21 01:00:00 |
| 1 | 11 | 2012-02-21 | 23 | 2012-02-21 02:00:00 |
+-------+-------------+------------+----------+---------------------+
它似乎认为它正在查找时区调整值(“this”列),但返回的统计信息与非时区查询的统计信息完全相同!这是怎么回事?
最佳答案
您正在使用convert_tz 转换所有要比较的日期(输入日期和数据库中的日期),因此您会得到相同的数据,这并不奇怪。我想你可能想要的是
SELECT cakes, pies, day, hour,
CONVERT_TZ(CONCAT(day,' ',hour,':00'), '+13:00','-8:00') AS 'this'
FROM stats
WHERE
CONVERT_TZ(CONCAT(day,' ',hour,':00'), '+13:00','-8:00')
BETWEEN
'2012-02-21 20:00:00'
AND '2012-02-21 23:00:00'
但是为什么要分开存储日期和时间呢?将它们存储在一起作为 DATETIME 字段将使您的查询变得更加容易。此外,您不需要对已经是 MySQL DATETIME 值的值使用 STR_TO_DATE。
关于mysql:convert_tz在where子句比较中被忽略?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/9593896/