基于时区偏移量的MySql搜索时间戳
我已经创建了一个与原始样本具有相同场景的示例表。 表名 “记录” 数据库中的 “测试”基于时区偏移量的MySql搜索时间戳
数据库时区设置为UTC (SET TIME_ZONE = “+00:00”)
`records` (`id`, `name`, `time_created`) (1, 'motion', '2017-09-13 16:20:41'), (2, 'motion', '2017-09-13 16:20:57'), (3, 'motion', '2017-09-13 16:21:24'), (4, 'motion', '2017-09-13 16:21:40'), (5, 'motion', '2017-09-13 16:26:38'), (6, 'motion', '2017-09-13 17:09:00'), (7, 'motion', '2017-09-13 17:09:16'), (8, 'motion', '2017-09-13 22:14:37'), (9, 'motion', '2017-09-13 22:23:53'), (10, 'motion', '2017-09-13 22:24:08'), (11, 'motion', '2017-09-13 22:24:24'), (12, 'motion', '2017-09-13 23:45:17'), (13, 'motion', '2017-09-13 23:45:36'), (14, 'motion', '2017-09-13 23:45:54'), (15, 'motion', '2017-09-14 00:07:09'), (16, 'motion', '2017-09-14 00:07:24'), (17, 'motion', '2017-09-14 00:07:42'), (18, 'motion', '2017-09-19 09:42:11'), (19, 'motion', '2017-09-19 09:42:27'), (20, 'motion', '2017-09-19 09:42:44'), (21, 'motion', '2017-09-19 11:21:08'), (22, 'motion', '2017-09-19 11:21:23'), (23, 'motion', '2017-09-19 11:21:38'), (24, 'motion', '2017-09-19 11:21:54'), (25, 'motion', '2017-09-19 11:48:13'), (26, 'motion', '2017-09-13 16:20:41'), (27, 'motion', '2017-09-13 16:20:57'), (28, 'motion', '2017-09-13 16:21:24'), (29, 'motion', '2017-09-13 16:21:40'), (30, 'motion', '2017-09-13 16:26:38'), (31, 'motion', '2017-09-13 17:09:00'), (32, 'motion', '2017-09-13 17:09:16'), (33, 'motion', '2017-09-13 22:14:37'), (34, 'motion', '2017-09-13 22:23:53'), (35, 'motion', '2017-09-13 22:24:08'), (36, 'motion', '2017-09-13 22:24:24'), (37, 'motion', '2017-09-13 23:45:17'), (38, 'motion', '2017-09-13 23:45:36'), (39, 'motion', '2017-09-13 23:45:54'), (40, 'motion', '2017-09-14 00:07:09'), (41, 'motion', '2017-09-14 00:07:24'), (42, 'motion', '2017-09-14 00:07:42'), (43, 'motion', '2017-09-19 09:42:11'), (44, 'motion', '2017-09-19 09:42:27'), (45, 'motion', '2017-09-19 09:42:44'), (46, 'motion', '2017-09-19 11:21:08'), (47, 'motion', '2017-09-19 11:21:23'), (48, 'motion', '2017-09-19 11:21:38'), (49, 'motion', '2017-09-19 11:21:54'), (50, 'motion', '2017-09-19 11:48:13');
我有使用时间的转换,使两个查询使用CONVERT_TZ(mysql conversion function)
我需要两个疑问:1。 取日期间记录的“今天”和“今天 - 30天回” 2.获取给定日期记录,如“2017年9月14日”
我在下面试图查询
- 记录日期之间:
- 记录
SELECT * FROM test.records WHERE name LIKE '%motion%' AND CONVERT_TZ(time_created ,'+00:00','-7:0') BETWEEN DATE_SUB(CONVERT_TZ('2017-09-20 11:48:13' ,'+00:00','-7:0'), INTERVAL 30 DAY) AND CONVERT_TZ('2017-09-20 11:48:13','+00:00','-7:0') GROUP BY DATE(time_created) ORDER BY ID DESC; result : 18 motion 2017-09-19 09:42:11 15 motion 2017-09-14 00:07:09 1 motion 2017-09-13 16:20:41
-
对于给定日期:
SELECT name,id, CONVERT_TZ(time_created ,'+00:00','-7:0') as time_created, DATE_FORMAT(CONVERT_TZ(time_created ,'+00:00','-7:0') , '%h:%i:%s %p') as new_format_time FROM test.records WHERE name LIKE '%motion%' AND DATE(CONVERT_TZ(time_created ,'+00:00','-7:0')) = '2017-09-14' ORDER BY ID DESC result: 0 records
对于第一个,假设你的系统运行在UTC
SELECT * FROM test.records
WHERE name LIKE '%motion%' AND
time_created >= DATE_SUB(CONVERT_TZ(NOW(),'+00:00','-7:0') , INTERVAL 30 DAY)
GROUP BY DATE(time_created) ORDER BY ID DESC;
如果NOW()是当前时区
SELECT * FROM test.records
WHERE name LIKE '%motion%' AND
CONVERT_TZ(time_created,'+00:00','-7:0') >= DATE_SUB(NOW(), INTERVAL 30 DAY)
GROUP BY DATE(time_created) ORDER BY ID DESC;
--- EDITED 201/09/25 ---
对于第二个,这是真正重要的是要知道你想要哪个时区与...比较。
select DATE(CONVERT_TZ('2017-09-14 00:07:25','+00:00', '-07:00'));
会把日期的前一天或2017-09-13
(我们已经搬进了比较等式的另一边,所以我们要改变顺序
改变>=
到=
,只是使用DATE()
SELECT *
FROM test.records
WHERE name LIKE '%motion%' AND
DATE(CONVERT_TZ(time_created,'-7:0', '+00:00')) = '2017-09-14'
GROUP BY DATE(time_created) ORDER BY ID DESC;
最简单的比较将对阵UTC和式将是
SELECT *
FROM test.records
WHERE name LIKE '%motion%' AND
DATE(time_created) = '2017-09-14'
GROUP BY DATE(time_created) ORDER BY ID DESC;
Jacques Amar, 感谢您的回复。 对于第二个查询,我需要获取日期“2017-09-14”的记录,它显示0结果 –
对不起,我没有阅读我的文本,并忘记哟放在日期!编辑 –
雅克阿马尔再次感谢下钻 我仍然有同样的问题0记录。 您是否在系统上创建了相同的数据? –
SELECT * FROM test.records WHERE name LIKE'%motion%' AND CONVERT_TZ(time_created,'+ 00:00',' - 7:0') BETWEEN DATE_SUB(CONVERT_TZ('2017-09-20 11 :48:13','+ 00:00',' - 7:0'),INTERVAL 30 DAY)和CONVERT_TZ('2017-09-20 11:48:13','+ 00:00',' - 7:0') GROUP BY DATE(time_created)ORDER BY ID DESC; ---更新后的第一个查询 –