I have created a sample table with same scenario as my original one. Table name "records" in database "test"
database timezone is set to 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');
I have to make two queries using time conversion using CONVERT_TZ (mysql conversion function )
I need two queries : 1. fetch records between date "today" and "today - 30 days back" 2. fetch records for given date like "2017-09-14"
I have tried below queries
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
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
For the first, assuming your system is running at 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;
If NOW() is the current time zone
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 ---
For the second, It's really important to know which Timezone you want to compare with.
select DATE(CONVERT_TZ('2017-09-14 00:07:25','+00:00', '-07:00'));
Will put the date to the day before or 2017-09-13
(we have moved the comparison to the other side of the equation, so we have to change the order
changing the >=
to =
and just use 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;
The simplest comparison will be against UTC and the formula will be
SELECT *
FROM test.records
WHERE name LIKE '%motion%' AND
DATE(time_created) = '2017-09-14'
GROUP BY DATE(time_created) ORDER BY ID DESC;