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Calculate Total Working Minutes in MySql
Database Design: What is the best structure for storing site offices and locations?How to calculate total ON hours and Total OFF hours in day of a motor using PHP and MySQLHow to relate 2 user profile tables to a single login table?building structure for employee office relationTotal hours worked per employee per dayTotal hours worked per employee per day including overnight sessionsMySQL - Finding Gaps of Date Ranges - Overlapping DatesHoursworked/day computation via Bio LogsGenerate Slot Summaries(chunks of continuous slots) from the Slot tableHow can I get the last second of the last month as a default parameter value?
0
I have a design a table for attendance and here are the genral fileds
- AttendanceMachineLoginId
- EmpId
- AttendanceDateTime
Whenever user will come to office, he has to make his attendance.
The first attendance will consider login and the second will consider the logout. Each time a record will be added with the time. A user can make multiple entries (login logout in a single day. Like this
EmpId 81 has login and logout two times in same day.
Now, My aim is to generate per day employee report that how many minutes he has given to the company. I just came to know that TIMESTAMPDIFF() can provide the minutes but i am unable to understand that how can I apply it to my table. Additionally, I want to ask that, do the table Fields are right for the desired report or I need to change it?
One Another Strategy: I was also thinking that I should add minutes column in the table and whenever user logout I should calculate the minutes and add that minutes with logout entry.
Sample Data:
INSERT INTO `attendancemachinelogin` (`AttendanceMachineLoginId`, `EmpId`, `TimeTrackId`, `AttendanceDateTime`, `RecordAddDateTime`) VALUES
(0, 81, 315079, '2018-8-15 14:8:46', '2018-08-15 14:09:25'),
(0, 81, 315079, '2018-8-15 14:20:38', '2018-08-15 14:21:17'),
(0, 81, 315079, '2018-8-15 14:21:9', '2018-08-15 14:21:47'),
(0, 81, 315079, '2018-8-15 14:28:37', '2018-08-15 14:29:16'),
(0, 81, 315079, '2018-8-15 14:28:58', '2018-08-15 14:29:36'),
(0, 81, 315079, '2018-8-15 14:36:42', '2018-08-15 14:37:21'),
(0, 81, 315079, '2018-8-15 15:36:34', '2018-08-15 15:37:13'),
(0, 81, 315079, '2018-8-15 15:52:39', '2018-08-15 15:53:17'),
(0, 81, 315079, '2018-8-15 16:5:38', '2018-08-15 16:06:17'),
(0, 81, 315079, '2018-8-15 16:6:50', '2018-08-15 16:07:29'),
(0, 81, 315079, '2018-8-15 16:8:49', '2018-08-15 16:09:29'),
(0, 81, 315079, '2018-8-15 16:18:28', '2018-08-15 16:19:08'),
(0, 81, 315079, '2018-8-15 16:20:49', '2018-08-15 16:21:28'),
(0, 81, 315079, '2018-8-15 16:23:18', '2018-08-15 16:23:58'),
(0, 81, 315079, '2018-8-15 16:24:3', '2018-08-15 16:24:42'),
(0, 81, 315079, '2018-8-15 16:24:47', '2018-08-15 16:25:26'),
(0, 81, 315079, '2018-8-15 16:24:58', '2018-08-15 16:25:37'),
(0, 81, 315079, '2018-8-15 16:25:54', '2018-08-15 16:26:33'),
(0, 81, 315079, '2018-8-15 16:56:47', '2018-08-15 16:57:27'),
(0, 101, 417092, '2018-8-15 17:37:53', '2018-08-15 17:38:32'),
(0, 101, 417092, '2018-8-15 18:4:34', '2018-08-15 18:05:14'),
(0, 101, 417092, '2018-8-15 18:7:43', '2018-08-15 18:08:22'),
(0, 81, 315079, '2018-8-15 18:13:15', '2018-08-15 18:13:54'),
(0, 81, 315079, '2018-8-17 10:50:16', '2018-08-17 10:50:54'),
(0, 101, 417092, '2018-8-17 10:51:54', '2018-08-17 10:52:31'),
(0, 4, 413034, '2018-8-17 11:45:16', '2018-08-17 11:45:54'),
(0, 91, 916086, '2018-8-17 11:59:34', '2018-08-17 12:00:12'),
(0, 81, 315079, '2018-8-17 12:0:19', '2018-08-17 12:00:56'),
(0, 81, 315079, '2018-8-17 15:7:41', '2018-08-17 15:08:17'),
(0, 101, 417092, '2018-8-17 15:9:54', '2018-08-17 15:10:32'),
(0, 101, 417092, '2018-8-17 15:10:9', '2018-08-17 15:10:45'),
(0, 101, 417092, '2018-8-17 15:10:23', '2018-08-17 15:10:59'),
(0, 101, 417092, '2018-8-17 15:10:25', '2018-08-17 15:11:02'),
(0, 101, 417092, '2018-8-17 15:11:6', '2018-08-17 15:11:43'),
(0, 101, 417092, '2018-8-17 15:11:15', '2018-08-17 15:11:52'),
(0, 101, 417092, '2018-8-17 15:11:17', '2018-08-17 15:11:54'),
(0, 81, 315079, '2018-8-17 15:11:32', '2018-08-17 15:12:09'),
(0, 81, 315079, '2018-8-17 15:12:32', '2018-08-17 15:13:09'),
(0, 81, 315079, '2018-8-17 15:35:33', '2018-08-17 15:36:10'),
(0, 81, 315079, '2018-8-17 15:41:58', '2018-08-17 15:42:34'),
(0, 81, 315079, '2018-8-17 15:42:17', '2018-08-17 15:42:54'),
(0, 81, 315079, '2018-8-17 16:8:25', '2018-08-17 16:09:01'),
(0, 81, 315079, '2018-8-17 16:8:32', '2018-08-17 16:09:08'),
(0, 101, 417092, '2018-8-17 16:8:53', '2018-08-17 16:09:30'),
(0, 101, 417092, '2018-8-17 16:9:20', '2018-08-17 16:09:57'),
(0, 4, 413034, '2018-8-17 16:10:16', '2018-08-17 16:10:53'),
(0, 36, 413037, '2018-8-17 16:10:46', '2018-08-17 16:11:23'),
(0, 81, 315079, '2018-8-17 16:22:21', '2018-08-17 16:22:58'),
(0, 101, 417092, '2018-8-17 16:22:45', '2018-08-17 16:23:21'),
(0, 4, 413034, '2018-8-17 16:23:12', '2018-08-17 16:23:49'),
(0, 81, 315079, '2018-8-17 16:23:35', '2018-08-17 16:24:12'),
(0, 81, 315079, '2018-8-17 16:44:4', '2018-08-17 16:44:42'),
(0, 101, 417092, '2018-8-17 16:44:22', '2018-08-17 16:44:58'),
(0, 81, 315079, '2018-8-17 17:6:51', '2018-08-17 17:07:28'),
(0, 101, 417092, '2018-8-17 17:7:8', '2018-08-17 17:07:45'),
(0, 4, 413034, '2018-8-17 17:7:52', '2018-08-17 17:08:28'),
(0, 81, 315079, '2018-8-17 17:9:25', '2018-08-17 17:10:02'),
(0, 101, 417092, '2018-8-17 17:9:46', '2018-08-17 17:10:22'),
(0, 4, 413034, '2018-8-17 17:10:6', '2018-08-17 17:10:42'),
(0, 81, 315079, '2018-8-17 17:10:24', '2018-08-17 17:11:01'),
(0, 81, 315079, '2018-8-17 17:10:39', '2018-08-17 17:11:15'),
(0, 101, 417092, '2018-8-17 17:10:47', '2018-08-17 17:11:24'),
(0, 101, 417092, '2018-8-17 17:10:58', '2018-08-17 17:11:35'),
(0, 81, 315079, '2018-8-17 17:11:10', '2018-08-17 17:11:46'),
(0, 101, 417092, '2018-8-17 17:11:31', '2018-08-17 17:12:09'),
(0, 4, 413034, '2018-8-17 17:40:40', '2018-08-17 17:41:18'),
(0, 101, 417092, '2018-8-17 17:41:23', '2018-08-17 17:41:59'),
(0, 36, 413037, '2018-8-17 17:41:37', '2018-08-17 17:42:14'),
(0, 81, 315079, '2018-8-17 17:42:9', '2018-08-17 17:42:45'),
(0, 3, 213020, '2018-8-17 17:47:34', '2018-08-17 17:48:11'),
(0, 81, 315079, '2018-8-17 17:48:16', '2018-08-17 17:48:52'),
(0, 4, 413034, '2018-8-17 17:48:59', '2018-08-17 17:49:36'),
(0, 4, 413034, '2018-8-17 17:49:59', '2018-08-17 17:50:36'),
(0, 36, 413037, '2018-8-17 17:52:36', '2018-08-17 17:53:13'),
(0, 101, 417092, '2018-8-17 17:52:53', '2018-08-17 17:53:29'),
(0, 6, 213016, '2018-8-17 17:53:30', '2018-08-17 17:54:06'),
(0, 81, 315079, '2018-8-17 17:53:44', '2018-08-17 17:54:20'),
(0, 4, 413034, '2018-8-17 17:54:27', '2018-08-17 17:55:03'),
(0, 3, 213020, '2018-8-17 17:54:49', '2018-08-17 17:55:27'),
(0, 4, 413034, '2018-8-17 17:55:23', '2018-08-17 17:56:00'),
(0, 36, 413037, '2018-8-17 17:58:33', '2018-08-17 17:59:10'),
(0, 101, 417092, '2018-8-17 17:58:47', '2018-08-17 17:59:24'),
(0, 102, 517094, '2018-8-17 17:59:4', '2018-08-17 17:59:40'),
(0, 81, 315079, '2018-8-17 17:59:33', '2018-08-17 18:00:09'),
(0, 4, 413034, '2018-8-17 18:0:16', '2018-08-17 18:00:52'),
(0, 3, 213020, '2018-8-17 18:0:40', '2018-08-17 18:01:17'),
(0, 6, 213016, '2018-8-17 18:1:30', '2018-08-17 18:02:06'),
(0, 36, 413037, '2018-8-17 18:26:24', '2018-08-17 18:27:01'),
(0, 101, 417092, '2018-8-17 18:26:38', '2018-08-17 18:27:14'),
(0, 6, 213016, '2018-8-17 18:27:9', '2018-08-17 18:27:45'),
(0, 81, 315079, '2018-8-17 18:27:24', '2018-08-17 18:28:00'),
(0, 102, 517094, '2018-8-17 18:27:38', '2018-08-17 18:28:14'),
(0, 4, 413034, '2018-8-17 18:28:13', '2018-08-17 18:28:49'),
(0, 81, 315079, '2018-8-17 19:36:49', '2018-08-17 19:37:26'),
(0, 101, 417092, '2018-8-17 19:37:17', '2018-08-17 19:37:54'),
(0, 102, 517094, '2018-8-17 19:37:30', '2018-08-17 19:38:07'),
(0, 36, 413037, '2018-8-17 19:38:13', '2018-08-17 19:38:50'),
(0, 4, 413034, '2018-8-17 19:38:54', '2018-08-17 19:39:32'),
(0, 3, 213020, '2018-8-17 19:39:58', '2018-08-17 19:40:35'),
(0, 101, 417092, '2018-8-18 10:21:26', '2018-08-18 10:22:03'),
(0, 81, 315079, '2018-8-18 10:30:23', '2018-08-18 10:31:09'),
(0, 4, 413034, '2018-8-18 10:31:46', '2018-08-18 10:32:27'),
(0, 102, 517094, '2018-8-18 10:32:15', '2018-08-18 10:32:53'),
(0, 6, 213016, '2018-8-18 10:32:44', '2018-08-18 10:33:22'),
(0, 3, 213020, '2018-8-18 10:33:23', '2018-08-18 10:34:03'),
(0, 81, 315079, '2018-8-18 10:42:49', '2018-08-18 10:43:27'),
(0, 101, 417092, '2018-8-18 10:43:25', '2018-08-18 10:44:03'),
(0, 81, 315079, '2018-8-18 10:48:51', '2018-08-18 10:49:30'),
(0, 102, 517094, '2018-8-18 10:49:9', '2018-08-18 10:49:49'),
(0, 81, 315079, '2018-8-18 10:56:46', '2018-08-18 10:57:25'),
(0, 1, 1211003, '2018-8-18 10:57:0', '2018-08-18 10:57:38'),
(0, 4, 413034, '2018-8-18 10:57:51', '2018-08-18 10:58:38'),
(0, 3, 213020, '2018-8-18 10:58:43', '2018-08-18 10:59:26');
mysql datetime timestamp reporting
asked Aug 18 '18 at 7:25
Muhammad Faizan KhanMuhammad Faizan Khan
1063
bumped to the homepage by Community♦ 5 hours ago
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0
I have a design a table for attendance and here are the genral fileds
- AttendanceMachineLoginId
- EmpId
- AttendanceDateTime
Whenever user will come to office, he has to make his attendance.
The first attendance will consider login and the second will consider the logout. Each time a record will be added with the time. A user can make multiple entries (login logout in a single day. Like this
EmpId 81 has login and logout two times in same day.
Now, My aim is to generate per day employee report that how many minutes he has given to the company. I just came to know that TIMESTAMPDIFF() can provide the minutes but i am unable to understand that how can I apply it to my table. Additionally, I want to ask that, do the table Fields are right for the desired report or I need to change it?
One Another Strategy: I was also thinking that I should add minutes column in the table and whenever user logout I should calculate the minutes and add that minutes with logout entry.
Sample Data:
INSERT INTO `attendancemachinelogin` (`AttendanceMachineLoginId`, `EmpId`, `TimeTrackId`, `AttendanceDateTime`, `RecordAddDateTime`) VALUES
(0, 81, 315079, '2018-8-15 14:8:46', '2018-08-15 14:09:25'),
(0, 81, 315079, '2018-8-15 14:20:38', '2018-08-15 14:21:17'),
(0, 81, 315079, '2018-8-15 14:21:9', '2018-08-15 14:21:47'),
(0, 81, 315079, '2018-8-15 14:28:37', '2018-08-15 14:29:16'),
(0, 81, 315079, '2018-8-15 14:28:58', '2018-08-15 14:29:36'),
(0, 81, 315079, '2018-8-15 14:36:42', '2018-08-15 14:37:21'),
(0, 81, 315079, '2018-8-15 15:36:34', '2018-08-15 15:37:13'),
(0, 81, 315079, '2018-8-15 15:52:39', '2018-08-15 15:53:17'),
(0, 81, 315079, '2018-8-15 16:5:38', '2018-08-15 16:06:17'),
(0, 81, 315079, '2018-8-15 16:6:50', '2018-08-15 16:07:29'),
(0, 81, 315079, '2018-8-15 16:8:49', '2018-08-15 16:09:29'),
(0, 81, 315079, '2018-8-15 16:18:28', '2018-08-15 16:19:08'),
(0, 81, 315079, '2018-8-15 16:20:49', '2018-08-15 16:21:28'),
(0, 81, 315079, '2018-8-15 16:23:18', '2018-08-15 16:23:58'),
(0, 81, 315079, '2018-8-15 16:24:3', '2018-08-15 16:24:42'),
(0, 81, 315079, '2018-8-15 16:24:47', '2018-08-15 16:25:26'),
(0, 81, 315079, '2018-8-15 16:24:58', '2018-08-15 16:25:37'),
(0, 81, 315079, '2018-8-15 16:25:54', '2018-08-15 16:26:33'),
(0, 81, 315079, '2018-8-15 16:56:47', '2018-08-15 16:57:27'),
(0, 101, 417092, '2018-8-15 17:37:53', '2018-08-15 17:38:32'),
(0, 101, 417092, '2018-8-15 18:4:34', '2018-08-15 18:05:14'),
(0, 101, 417092, '2018-8-15 18:7:43', '2018-08-15 18:08:22'),
(0, 81, 315079, '2018-8-15 18:13:15', '2018-08-15 18:13:54'),
(0, 81, 315079, '2018-8-17 10:50:16', '2018-08-17 10:50:54'),
(0, 101, 417092, '2018-8-17 10:51:54', '2018-08-17 10:52:31'),
(0, 4, 413034, '2018-8-17 11:45:16', '2018-08-17 11:45:54'),
(0, 91, 916086, '2018-8-17 11:59:34', '2018-08-17 12:00:12'),
(0, 81, 315079, '2018-8-17 12:0:19', '2018-08-17 12:00:56'),
(0, 81, 315079, '2018-8-17 15:7:41', '2018-08-17 15:08:17'),
(0, 101, 417092, '2018-8-17 15:9:54', '2018-08-17 15:10:32'),
(0, 101, 417092, '2018-8-17 15:10:9', '2018-08-17 15:10:45'),
(0, 101, 417092, '2018-8-17 15:10:23', '2018-08-17 15:10:59'),
(0, 101, 417092, '2018-8-17 15:10:25', '2018-08-17 15:11:02'),
(0, 101, 417092, '2018-8-17 15:11:6', '2018-08-17 15:11:43'),
(0, 101, 417092, '2018-8-17 15:11:15', '2018-08-17 15:11:52'),
(0, 101, 417092, '2018-8-17 15:11:17', '2018-08-17 15:11:54'),
(0, 81, 315079, '2018-8-17 15:11:32', '2018-08-17 15:12:09'),
(0, 81, 315079, '2018-8-17 15:12:32', '2018-08-17 15:13:09'),
(0, 81, 315079, '2018-8-17 15:35:33', '2018-08-17 15:36:10'),
(0, 81, 315079, '2018-8-17 15:41:58', '2018-08-17 15:42:34'),
(0, 81, 315079, '2018-8-17 15:42:17', '2018-08-17 15:42:54'),
(0, 81, 315079, '2018-8-17 16:8:25', '2018-08-17 16:09:01'),
(0, 81, 315079, '2018-8-17 16:8:32', '2018-08-17 16:09:08'),
(0, 101, 417092, '2018-8-17 16:8:53', '2018-08-17 16:09:30'),
(0, 101, 417092, '2018-8-17 16:9:20', '2018-08-17 16:09:57'),
(0, 4, 413034, '2018-8-17 16:10:16', '2018-08-17 16:10:53'),
(0, 36, 413037, '2018-8-17 16:10:46', '2018-08-17 16:11:23'),
(0, 81, 315079, '2018-8-17 16:22:21', '2018-08-17 16:22:58'),
(0, 101, 417092, '2018-8-17 16:22:45', '2018-08-17 16:23:21'),
(0, 4, 413034, '2018-8-17 16:23:12', '2018-08-17 16:23:49'),
(0, 81, 315079, '2018-8-17 16:23:35', '2018-08-17 16:24:12'),
(0, 81, 315079, '2018-8-17 16:44:4', '2018-08-17 16:44:42'),
(0, 101, 417092, '2018-8-17 16:44:22', '2018-08-17 16:44:58'),
(0, 81, 315079, '2018-8-17 17:6:51', '2018-08-17 17:07:28'),
(0, 101, 417092, '2018-8-17 17:7:8', '2018-08-17 17:07:45'),
(0, 4, 413034, '2018-8-17 17:7:52', '2018-08-17 17:08:28'),
(0, 81, 315079, '2018-8-17 17:9:25', '2018-08-17 17:10:02'),
(0, 101, 417092, '2018-8-17 17:9:46', '2018-08-17 17:10:22'),
(0, 4, 413034, '2018-8-17 17:10:6', '2018-08-17 17:10:42'),
(0, 81, 315079, '2018-8-17 17:10:24', '2018-08-17 17:11:01'),
(0, 81, 315079, '2018-8-17 17:10:39', '2018-08-17 17:11:15'),
(0, 101, 417092, '2018-8-17 17:10:47', '2018-08-17 17:11:24'),
(0, 101, 417092, '2018-8-17 17:10:58', '2018-08-17 17:11:35'),
(0, 81, 315079, '2018-8-17 17:11:10', '2018-08-17 17:11:46'),
(0, 101, 417092, '2018-8-17 17:11:31', '2018-08-17 17:12:09'),
(0, 4, 413034, '2018-8-17 17:40:40', '2018-08-17 17:41:18'),
(0, 101, 417092, '2018-8-17 17:41:23', '2018-08-17 17:41:59'),
(0, 36, 413037, '2018-8-17 17:41:37', '2018-08-17 17:42:14'),
(0, 81, 315079, '2018-8-17 17:42:9', '2018-08-17 17:42:45'),
(0, 3, 213020, '2018-8-17 17:47:34', '2018-08-17 17:48:11'),
(0, 81, 315079, '2018-8-17 17:48:16', '2018-08-17 17:48:52'),
(0, 4, 413034, '2018-8-17 17:48:59', '2018-08-17 17:49:36'),
(0, 4, 413034, '2018-8-17 17:49:59', '2018-08-17 17:50:36'),
(0, 36, 413037, '2018-8-17 17:52:36', '2018-08-17 17:53:13'),
(0, 101, 417092, '2018-8-17 17:52:53', '2018-08-17 17:53:29'),
(0, 6, 213016, '2018-8-17 17:53:30', '2018-08-17 17:54:06'),
(0, 81, 315079, '2018-8-17 17:53:44', '2018-08-17 17:54:20'),
(0, 4, 413034, '2018-8-17 17:54:27', '2018-08-17 17:55:03'),
(0, 3, 213020, '2018-8-17 17:54:49', '2018-08-17 17:55:27'),
(0, 4, 413034, '2018-8-17 17:55:23', '2018-08-17 17:56:00'),
(0, 36, 413037, '2018-8-17 17:58:33', '2018-08-17 17:59:10'),
(0, 101, 417092, '2018-8-17 17:58:47', '2018-08-17 17:59:24'),
(0, 102, 517094, '2018-8-17 17:59:4', '2018-08-17 17:59:40'),
(0, 81, 315079, '2018-8-17 17:59:33', '2018-08-17 18:00:09'),
(0, 4, 413034, '2018-8-17 18:0:16', '2018-08-17 18:00:52'),
(0, 3, 213020, '2018-8-17 18:0:40', '2018-08-17 18:01:17'),
(0, 6, 213016, '2018-8-17 18:1:30', '2018-08-17 18:02:06'),
(0, 36, 413037, '2018-8-17 18:26:24', '2018-08-17 18:27:01'),
(0, 101, 417092, '2018-8-17 18:26:38', '2018-08-17 18:27:14'),
(0, 6, 213016, '2018-8-17 18:27:9', '2018-08-17 18:27:45'),
(0, 81, 315079, '2018-8-17 18:27:24', '2018-08-17 18:28:00'),
(0, 102, 517094, '2018-8-17 18:27:38', '2018-08-17 18:28:14'),
(0, 4, 413034, '2018-8-17 18:28:13', '2018-08-17 18:28:49'),
(0, 81, 315079, '2018-8-17 19:36:49', '2018-08-17 19:37:26'),
(0, 101, 417092, '2018-8-17 19:37:17', '2018-08-17 19:37:54'),
(0, 102, 517094, '2018-8-17 19:37:30', '2018-08-17 19:38:07'),
(0, 36, 413037, '2018-8-17 19:38:13', '2018-08-17 19:38:50'),
(0, 4, 413034, '2018-8-17 19:38:54', '2018-08-17 19:39:32'),
(0, 3, 213020, '2018-8-17 19:39:58', '2018-08-17 19:40:35'),
(0, 101, 417092, '2018-8-18 10:21:26', '2018-08-18 10:22:03'),
(0, 81, 315079, '2018-8-18 10:30:23', '2018-08-18 10:31:09'),
(0, 4, 413034, '2018-8-18 10:31:46', '2018-08-18 10:32:27'),
(0, 102, 517094, '2018-8-18 10:32:15', '2018-08-18 10:32:53'),
(0, 6, 213016, '2018-8-18 10:32:44', '2018-08-18 10:33:22'),
(0, 3, 213020, '2018-8-18 10:33:23', '2018-08-18 10:34:03'),
(0, 81, 315079, '2018-8-18 10:42:49', '2018-08-18 10:43:27'),
(0, 101, 417092, '2018-8-18 10:43:25', '2018-08-18 10:44:03'),
(0, 81, 315079, '2018-8-18 10:48:51', '2018-08-18 10:49:30'),
(0, 102, 517094, '2018-8-18 10:49:9', '2018-08-18 10:49:49'),
(0, 81, 315079, '2018-8-18 10:56:46', '2018-08-18 10:57:25'),
(0, 1, 1211003, '2018-8-18 10:57:0', '2018-08-18 10:57:38'),
(0, 4, 413034, '2018-8-18 10:57:51', '2018-08-18 10:58:38'),
(0, 3, 213020, '2018-8-18 10:58:43', '2018-08-18 10:59:26');
mysql datetime timestamp reporting
asked Aug 18 '18 at 7:25
Muhammad Faizan KhanMuhammad Faizan Khan
1063
bumped to the homepage by Community♦ 5 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Your structure seems incomplete, since it does not indicate whether an event is a login or logout, and assumptions of clean pairing and ordering, and sessions never spanning midnight... seem problematic. You don't need to store minutes, but updating the login row with a logout time or another strategy that captures a more thorough perspective of what is actually happening might be a distinct improvement. Solving this problem with the current schemata with pure declarative SQL (no procs, functions, temp tables, cursors, etc.) seems like it will not be straightforward.
– Michael - sqlbot
Aug 18 '18 at 23:20
Unrelated, but very important: The pairing of login to logout will fail some day. Someone will fail to logout. Or will login twice. Or the system will drop a record. Or...
– Rick James
Aug 26 '18 at 22:29
add a comment |
0
0
0
I have a design a table for attendance and here are the genral fileds
- AttendanceMachineLoginId
- EmpId
- AttendanceDateTime
Whenever user will come to office, he has to make his attendance.
The first attendance will consider login and the second will consider the logout. Each time a record will be added with the time. A user can make multiple entries (login logout in a single day. Like this
EmpId 81 has login and logout two times in same day.
Now, My aim is to generate per day employee report that how many minutes he has given to the company. I just came to know that TIMESTAMPDIFF() can provide the minutes but i am unable to understand that how can I apply it to my table. Additionally, I want to ask that, do the table Fields are right for the desired report or I need to change it?
One Another Strategy: I was also thinking that I should add minutes column in the table and whenever user logout I should calculate the minutes and add that minutes with logout entry.
Sample Data:
INSERT INTO `attendancemachinelogin` (`AttendanceMachineLoginId`, `EmpId`, `TimeTrackId`, `AttendanceDateTime`, `RecordAddDateTime`) VALUES
(0, 81, 315079, '2018-8-15 14:8:46', '2018-08-15 14:09:25'),
(0, 81, 315079, '2018-8-15 14:20:38', '2018-08-15 14:21:17'),
(0, 81, 315079, '2018-8-15 14:21:9', '2018-08-15 14:21:47'),
(0, 81, 315079, '2018-8-15 14:28:37', '2018-08-15 14:29:16'),
(0, 81, 315079, '2018-8-15 14:28:58', '2018-08-15 14:29:36'),
(0, 81, 315079, '2018-8-15 14:36:42', '2018-08-15 14:37:21'),
(0, 81, 315079, '2018-8-15 15:36:34', '2018-08-15 15:37:13'),
(0, 81, 315079, '2018-8-15 15:52:39', '2018-08-15 15:53:17'),
(0, 81, 315079, '2018-8-15 16:5:38', '2018-08-15 16:06:17'),
(0, 81, 315079, '2018-8-15 16:6:50', '2018-08-15 16:07:29'),
(0, 81, 315079, '2018-8-15 16:8:49', '2018-08-15 16:09:29'),
(0, 81, 315079, '2018-8-15 16:18:28', '2018-08-15 16:19:08'),
(0, 81, 315079, '2018-8-15 16:20:49', '2018-08-15 16:21:28'),
(0, 81, 315079, '2018-8-15 16:23:18', '2018-08-15 16:23:58'),
(0, 81, 315079, '2018-8-15 16:24:3', '2018-08-15 16:24:42'),
(0, 81, 315079, '2018-8-15 16:24:47', '2018-08-15 16:25:26'),
(0, 81, 315079, '2018-8-15 16:24:58', '2018-08-15 16:25:37'),
(0, 81, 315079, '2018-8-15 16:25:54', '2018-08-15 16:26:33'),
(0, 81, 315079, '2018-8-15 16:56:47', '2018-08-15 16:57:27'),
(0, 101, 417092, '2018-8-15 17:37:53', '2018-08-15 17:38:32'),
(0, 101, 417092, '2018-8-15 18:4:34', '2018-08-15 18:05:14'),
(0, 101, 417092, '2018-8-15 18:7:43', '2018-08-15 18:08:22'),
(0, 81, 315079, '2018-8-15 18:13:15', '2018-08-15 18:13:54'),
(0, 81, 315079, '2018-8-17 10:50:16', '2018-08-17 10:50:54'),
(0, 101, 417092, '2018-8-17 10:51:54', '2018-08-17 10:52:31'),
(0, 4, 413034, '2018-8-17 11:45:16', '2018-08-17 11:45:54'),
(0, 91, 916086, '2018-8-17 11:59:34', '2018-08-17 12:00:12'),
(0, 81, 315079, '2018-8-17 12:0:19', '2018-08-17 12:00:56'),
(0, 81, 315079, '2018-8-17 15:7:41', '2018-08-17 15:08:17'),
(0, 101, 417092, '2018-8-17 15:9:54', '2018-08-17 15:10:32'),
(0, 101, 417092, '2018-8-17 15:10:9', '2018-08-17 15:10:45'),
(0, 101, 417092, '2018-8-17 15:10:23', '2018-08-17 15:10:59'),
(0, 101, 417092, '2018-8-17 15:10:25', '2018-08-17 15:11:02'),
(0, 101, 417092, '2018-8-17 15:11:6', '2018-08-17 15:11:43'),
(0, 101, 417092, '2018-8-17 15:11:15', '2018-08-17 15:11:52'),
(0, 101, 417092, '2018-8-17 15:11:17', '2018-08-17 15:11:54'),
(0, 81, 315079, '2018-8-17 15:11:32', '2018-08-17 15:12:09'),
(0, 81, 315079, '2018-8-17 15:12:32', '2018-08-17 15:13:09'),
(0, 81, 315079, '2018-8-17 15:35:33', '2018-08-17 15:36:10'),
(0, 81, 315079, '2018-8-17 15:41:58', '2018-08-17 15:42:34'),
(0, 81, 315079, '2018-8-17 15:42:17', '2018-08-17 15:42:54'),
(0, 81, 315079, '2018-8-17 16:8:25', '2018-08-17 16:09:01'),
(0, 81, 315079, '2018-8-17 16:8:32', '2018-08-17 16:09:08'),
(0, 101, 417092, '2018-8-17 16:8:53', '2018-08-17 16:09:30'),
(0, 101, 417092, '2018-8-17 16:9:20', '2018-08-17 16:09:57'),
(0, 4, 413034, '2018-8-17 16:10:16', '2018-08-17 16:10:53'),
(0, 36, 413037, '2018-8-17 16:10:46', '2018-08-17 16:11:23'),
(0, 81, 315079, '2018-8-17 16:22:21', '2018-08-17 16:22:58'),
(0, 101, 417092, '2018-8-17 16:22:45', '2018-08-17 16:23:21'),
(0, 4, 413034, '2018-8-17 16:23:12', '2018-08-17 16:23:49'),
(0, 81, 315079, '2018-8-17 16:23:35', '2018-08-17 16:24:12'),
(0, 81, 315079, '2018-8-17 16:44:4', '2018-08-17 16:44:42'),
(0, 101, 417092, '2018-8-17 16:44:22', '2018-08-17 16:44:58'),
(0, 81, 315079, '2018-8-17 17:6:51', '2018-08-17 17:07:28'),
(0, 101, 417092, '2018-8-17 17:7:8', '2018-08-17 17:07:45'),
(0, 4, 413034, '2018-8-17 17:7:52', '2018-08-17 17:08:28'),
(0, 81, 315079, '2018-8-17 17:9:25', '2018-08-17 17:10:02'),
(0, 101, 417092, '2018-8-17 17:9:46', '2018-08-17 17:10:22'),
(0, 4, 413034, '2018-8-17 17:10:6', '2018-08-17 17:10:42'),
(0, 81, 315079, '2018-8-17 17:10:24', '2018-08-17 17:11:01'),
(0, 81, 315079, '2018-8-17 17:10:39', '2018-08-17 17:11:15'),
(0, 101, 417092, '2018-8-17 17:10:47', '2018-08-17 17:11:24'),
(0, 101, 417092, '2018-8-17 17:10:58', '2018-08-17 17:11:35'),
(0, 81, 315079, '2018-8-17 17:11:10', '2018-08-17 17:11:46'),
(0, 101, 417092, '2018-8-17 17:11:31', '2018-08-17 17:12:09'),
(0, 4, 413034, '2018-8-17 17:40:40', '2018-08-17 17:41:18'),
(0, 101, 417092, '2018-8-17 17:41:23', '2018-08-17 17:41:59'),
(0, 36, 413037, '2018-8-17 17:41:37', '2018-08-17 17:42:14'),
(0, 81, 315079, '2018-8-17 17:42:9', '2018-08-17 17:42:45'),
(0, 3, 213020, '2018-8-17 17:47:34', '2018-08-17 17:48:11'),
(0, 81, 315079, '2018-8-17 17:48:16', '2018-08-17 17:48:52'),
(0, 4, 413034, '2018-8-17 17:48:59', '2018-08-17 17:49:36'),
(0, 4, 413034, '2018-8-17 17:49:59', '2018-08-17 17:50:36'),
(0, 36, 413037, '2018-8-17 17:52:36', '2018-08-17 17:53:13'),
(0, 101, 417092, '2018-8-17 17:52:53', '2018-08-17 17:53:29'),
(0, 6, 213016, '2018-8-17 17:53:30', '2018-08-17 17:54:06'),
(0, 81, 315079, '2018-8-17 17:53:44', '2018-08-17 17:54:20'),
(0, 4, 413034, '2018-8-17 17:54:27', '2018-08-17 17:55:03'),
(0, 3, 213020, '2018-8-17 17:54:49', '2018-08-17 17:55:27'),
(0, 4, 413034, '2018-8-17 17:55:23', '2018-08-17 17:56:00'),
(0, 36, 413037, '2018-8-17 17:58:33', '2018-08-17 17:59:10'),
(0, 101, 417092, '2018-8-17 17:58:47', '2018-08-17 17:59:24'),
(0, 102, 517094, '2018-8-17 17:59:4', '2018-08-17 17:59:40'),
(0, 81, 315079, '2018-8-17 17:59:33', '2018-08-17 18:00:09'),
(0, 4, 413034, '2018-8-17 18:0:16', '2018-08-17 18:00:52'),
(0, 3, 213020, '2018-8-17 18:0:40', '2018-08-17 18:01:17'),
(0, 6, 213016, '2018-8-17 18:1:30', '2018-08-17 18:02:06'),
(0, 36, 413037, '2018-8-17 18:26:24', '2018-08-17 18:27:01'),
(0, 101, 417092, '2018-8-17 18:26:38', '2018-08-17 18:27:14'),
(0, 6, 213016, '2018-8-17 18:27:9', '2018-08-17 18:27:45'),
(0, 81, 315079, '2018-8-17 18:27:24', '2018-08-17 18:28:00'),
(0, 102, 517094, '2018-8-17 18:27:38', '2018-08-17 18:28:14'),
(0, 4, 413034, '2018-8-17 18:28:13', '2018-08-17 18:28:49'),
(0, 81, 315079, '2018-8-17 19:36:49', '2018-08-17 19:37:26'),
(0, 101, 417092, '2018-8-17 19:37:17', '2018-08-17 19:37:54'),
(0, 102, 517094, '2018-8-17 19:37:30', '2018-08-17 19:38:07'),
(0, 36, 413037, '2018-8-17 19:38:13', '2018-08-17 19:38:50'),
(0, 4, 413034, '2018-8-17 19:38:54', '2018-08-17 19:39:32'),
(0, 3, 213020, '2018-8-17 19:39:58', '2018-08-17 19:40:35'),
(0, 101, 417092, '2018-8-18 10:21:26', '2018-08-18 10:22:03'),
(0, 81, 315079, '2018-8-18 10:30:23', '2018-08-18 10:31:09'),
(0, 4, 413034, '2018-8-18 10:31:46', '2018-08-18 10:32:27'),
(0, 102, 517094, '2018-8-18 10:32:15', '2018-08-18 10:32:53'),
(0, 6, 213016, '2018-8-18 10:32:44', '2018-08-18 10:33:22'),
(0, 3, 213020, '2018-8-18 10:33:23', '2018-08-18 10:34:03'),
(0, 81, 315079, '2018-8-18 10:42:49', '2018-08-18 10:43:27'),
(0, 101, 417092, '2018-8-18 10:43:25', '2018-08-18 10:44:03'),
(0, 81, 315079, '2018-8-18 10:48:51', '2018-08-18 10:49:30'),
(0, 102, 517094, '2018-8-18 10:49:9', '2018-08-18 10:49:49'),
(0, 81, 315079, '2018-8-18 10:56:46', '2018-08-18 10:57:25'),
(0, 1, 1211003, '2018-8-18 10:57:0', '2018-08-18 10:57:38'),
(0, 4, 413034, '2018-8-18 10:57:51', '2018-08-18 10:58:38'),
(0, 3, 213020, '2018-8-18 10:58:43', '2018-08-18 10:59:26');
mysql datetime timestamp reporting
asked Aug 18 '18 at 7:25
Muhammad Faizan KhanMuhammad Faizan Khan
1063
I have a design a table for attendance and here are the genral fileds
- AttendanceMachineLoginId
- EmpId
- AttendanceDateTime
Whenever user will come to office, he has to make his attendance.
The first attendance will consider login and the second will consider the logout. Each time a record will be added with the time. A user can make multiple entries (login logout in a single day. Like this
EmpId 81 has login and logout two times in same day.
Now, My aim is to generate per day employee report that how many minutes he has given to the company. I just came to know that TIMESTAMPDIFF() can provide the minutes but i am unable to understand that how can I apply it to my table. Additionally, I want to ask that, do the table Fields are right for the desired report or I need to change it?
One Another Strategy: I was also thinking that I should add minutes column in the table and whenever user logout I should calculate the minutes and add that minutes with logout entry.
Sample Data:
INSERT INTO `attendancemachinelogin` (`AttendanceMachineLoginId`, `EmpId`, `TimeTrackId`, `AttendanceDateTime`, `RecordAddDateTime`) VALUES
(0, 81, 315079, '2018-8-15 14:8:46', '2018-08-15 14:09:25'),
(0, 81, 315079, '2018-8-15 14:20:38', '2018-08-15 14:21:17'),
(0, 81, 315079, '2018-8-15 14:21:9', '2018-08-15 14:21:47'),
(0, 81, 315079, '2018-8-15 14:28:37', '2018-08-15 14:29:16'),
(0, 81, 315079, '2018-8-15 14:28:58', '2018-08-15 14:29:36'),
(0, 81, 315079, '2018-8-15 14:36:42', '2018-08-15 14:37:21'),
(0, 81, 315079, '2018-8-15 15:36:34', '2018-08-15 15:37:13'),
(0, 81, 315079, '2018-8-15 15:52:39', '2018-08-15 15:53:17'),
(0, 81, 315079, '2018-8-15 16:5:38', '2018-08-15 16:06:17'),
(0, 81, 315079, '2018-8-15 16:6:50', '2018-08-15 16:07:29'),
(0, 81, 315079, '2018-8-15 16:8:49', '2018-08-15 16:09:29'),
(0, 81, 315079, '2018-8-15 16:18:28', '2018-08-15 16:19:08'),
(0, 81, 315079, '2018-8-15 16:20:49', '2018-08-15 16:21:28'),
(0, 81, 315079, '2018-8-15 16:23:18', '2018-08-15 16:23:58'),
(0, 81, 315079, '2018-8-15 16:24:3', '2018-08-15 16:24:42'),
(0, 81, 315079, '2018-8-15 16:24:47', '2018-08-15 16:25:26'),
(0, 81, 315079, '2018-8-15 16:24:58', '2018-08-15 16:25:37'),
(0, 81, 315079, '2018-8-15 16:25:54', '2018-08-15 16:26:33'),
(0, 81, 315079, '2018-8-15 16:56:47', '2018-08-15 16:57:27'),
(0, 101, 417092, '2018-8-15 17:37:53', '2018-08-15 17:38:32'),
(0, 101, 417092, '2018-8-15 18:4:34', '2018-08-15 18:05:14'),
(0, 101, 417092, '2018-8-15 18:7:43', '2018-08-15 18:08:22'),
(0, 81, 315079, '2018-8-15 18:13:15', '2018-08-15 18:13:54'),
(0, 81, 315079, '2018-8-17 10:50:16', '2018-08-17 10:50:54'),
(0, 101, 417092, '2018-8-17 10:51:54', '2018-08-17 10:52:31'),
(0, 4, 413034, '2018-8-17 11:45:16', '2018-08-17 11:45:54'),
(0, 91, 916086, '2018-8-17 11:59:34', '2018-08-17 12:00:12'),
(0, 81, 315079, '2018-8-17 12:0:19', '2018-08-17 12:00:56'),
(0, 81, 315079, '2018-8-17 15:7:41', '2018-08-17 15:08:17'),
(0, 101, 417092, '2018-8-17 15:9:54', '2018-08-17 15:10:32'),
(0, 101, 417092, '2018-8-17 15:10:9', '2018-08-17 15:10:45'),
(0, 101, 417092, '2018-8-17 15:10:23', '2018-08-17 15:10:59'),
(0, 101, 417092, '2018-8-17 15:10:25', '2018-08-17 15:11:02'),
(0, 101, 417092, '2018-8-17 15:11:6', '2018-08-17 15:11:43'),
(0, 101, 417092, '2018-8-17 15:11:15', '2018-08-17 15:11:52'),
(0, 101, 417092, '2018-8-17 15:11:17', '2018-08-17 15:11:54'),
(0, 81, 315079, '2018-8-17 15:11:32', '2018-08-17 15:12:09'),
(0, 81, 315079, '2018-8-17 15:12:32', '2018-08-17 15:13:09'),
(0, 81, 315079, '2018-8-17 15:35:33', '2018-08-17 15:36:10'),
(0, 81, 315079, '2018-8-17 15:41:58', '2018-08-17 15:42:34'),
(0, 81, 315079, '2018-8-17 15:42:17', '2018-08-17 15:42:54'),
(0, 81, 315079, '2018-8-17 16:8:25', '2018-08-17 16:09:01'),
(0, 81, 315079, '2018-8-17 16:8:32', '2018-08-17 16:09:08'),
(0, 101, 417092, '2018-8-17 16:8:53', '2018-08-17 16:09:30'),
(0, 101, 417092, '2018-8-17 16:9:20', '2018-08-17 16:09:57'),
(0, 4, 413034, '2018-8-17 16:10:16', '2018-08-17 16:10:53'),
(0, 36, 413037, '2018-8-17 16:10:46', '2018-08-17 16:11:23'),
(0, 81, 315079, '2018-8-17 16:22:21', '2018-08-17 16:22:58'),
(0, 101, 417092, '2018-8-17 16:22:45', '2018-08-17 16:23:21'),
(0, 4, 413034, '2018-8-17 16:23:12', '2018-08-17 16:23:49'),
(0, 81, 315079, '2018-8-17 16:23:35', '2018-08-17 16:24:12'),
(0, 81, 315079, '2018-8-17 16:44:4', '2018-08-17 16:44:42'),
(0, 101, 417092, '2018-8-17 16:44:22', '2018-08-17 16:44:58'),
(0, 81, 315079, '2018-8-17 17:6:51', '2018-08-17 17:07:28'),
(0, 101, 417092, '2018-8-17 17:7:8', '2018-08-17 17:07:45'),
(0, 4, 413034, '2018-8-17 17:7:52', '2018-08-17 17:08:28'),
(0, 81, 315079, '2018-8-17 17:9:25', '2018-08-17 17:10:02'),
(0, 101, 417092, '2018-8-17 17:9:46', '2018-08-17 17:10:22'),
(0, 4, 413034, '2018-8-17 17:10:6', '2018-08-17 17:10:42'),
(0, 81, 315079, '2018-8-17 17:10:24', '2018-08-17 17:11:01'),
(0, 81, 315079, '2018-8-17 17:10:39', '2018-08-17 17:11:15'),
(0, 101, 417092, '2018-8-17 17:10:47', '2018-08-17 17:11:24'),
(0, 101, 417092, '2018-8-17 17:10:58', '2018-08-17 17:11:35'),
(0, 81, 315079, '2018-8-17 17:11:10', '2018-08-17 17:11:46'),
(0, 101, 417092, '2018-8-17 17:11:31', '2018-08-17 17:12:09'),
(0, 4, 413034, '2018-8-17 17:40:40', '2018-08-17 17:41:18'),
(0, 101, 417092, '2018-8-17 17:41:23', '2018-08-17 17:41:59'),
(0, 36, 413037, '2018-8-17 17:41:37', '2018-08-17 17:42:14'),
(0, 81, 315079, '2018-8-17 17:42:9', '2018-08-17 17:42:45'),
(0, 3, 213020, '2018-8-17 17:47:34', '2018-08-17 17:48:11'),
(0, 81, 315079, '2018-8-17 17:48:16', '2018-08-17 17:48:52'),
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mysql datetime timestamp reporting
mysql datetime timestamp reporting
asked Aug 18 '18 at 7:25
Muhammad Faizan KhanMuhammad Faizan Khan
1063
asked Aug 18 '18 at 7:25
Muhammad Faizan KhanMuhammad Faizan Khan
1063
edited Aug 20 '18 at 4:30
Muhammad Faizan Khan
asked Aug 18 '18 at 7:25
Muhammad Faizan KhanMuhammad Faizan Khan
1063
asked Aug 18 '18 at 7:25
Muhammad Faizan KhanMuhammad Faizan Khan
1063
asked Aug 18 '18 at 7:25
Muhammad Faizan KhanMuhammad Faizan Khan
1063
1063
bumped to the homepage by Community♦ 5 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 5 hours ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Your structure seems incomplete, since it does not indicate whether an event is a login or logout, and assumptions of clean pairing and ordering, and sessions never spanning midnight... seem problematic. You don't need to store minutes, but updating the login row with a logout time or another strategy that captures a more thorough perspective of what is actually happening might be a distinct improvement. Solving this problem with the current schemata with pure declarative SQL (no procs, functions, temp tables, cursors, etc.) seems like it will not be straightforward.
– Michael - sqlbot
Aug 18 '18 at 23:20
Unrelated, but very important: The pairing of login to logout will fail some day. Someone will fail to logout. Or will login twice. Or the system will drop a record. Or...
– Rick James
Aug 26 '18 at 22:29
add a comment |
Your structure seems incomplete, since it does not indicate whether an event is a login or logout, and assumptions of clean pairing and ordering, and sessions never spanning midnight... seem problematic. You don't need to store minutes, but updating the login row with a logout time or another strategy that captures a more thorough perspective of what is actually happening might be a distinct improvement. Solving this problem with the current schemata with pure declarative SQL (no procs, functions, temp tables, cursors, etc.) seems like it will not be straightforward.
– Michael - sqlbot
Aug 18 '18 at 23:20
Unrelated, but very important: The pairing of login to logout will fail some day. Someone will fail to logout. Or will login twice. Or the system will drop a record. Or...
– Rick James
Aug 26 '18 at 22:29
Your structure seems incomplete, since it does not indicate whether an event is a login or logout, and assumptions of clean pairing and ordering, and sessions never spanning midnight... seem problematic. You don't need to store minutes, but updating the login row with a logout time or another strategy that captures a more thorough perspective of what is actually happening might be a distinct improvement. Solving this problem with the current schemata with pure declarative SQL (no procs, functions, temp tables, cursors, etc.) seems like it will not be straightforward.
– Michael - sqlbot
Aug 18 '18 at 23:20
Your structure seems incomplete, since it does not indicate whether an event is a login or logout, and assumptions of clean pairing and ordering, and sessions never spanning midnight... seem problematic. You don't need to store minutes, but updating the login row with a logout time or another strategy that captures a more thorough perspective of what is actually happening might be a distinct improvement. Solving this problem with the current schemata with pure declarative SQL (no procs, functions, temp tables, cursors, etc.) seems like it will not be straightforward.
– Michael - sqlbot
Aug 18 '18 at 23:20
Unrelated, but very important: The pairing of login to logout will fail some day. Someone will fail to logout. Or will login twice. Or the system will drop a record. Or...
– Rick James
Aug 26 '18 at 22:29
Unrelated, but very important: The pairing of login to logout will fail some day. Someone will fail to logout. Or will login twice. Or the system will drop a record. Or...
– Rick James
Aug 26 '18 at 22:29
add a comment |
1 Answer
1
active
oldest
votes
0
Well, I've made an assumption that first event each day for each employee is the login.
For mysql 8.x having CTEs the query can be the next:
WITH cteB (EID, mins) AS
(
WITH cteA (EID, TS, cnt) AS
(
SELECT w.EmpId
, w.AttendanceDateTime
, IF( @prevEID != @prevID := w.EmpID, @cnt := 1, @cnt := @cnt+1 ) AS cnt
FROM table AS w
ORDER BY w.EmpId ASC
, w.AttendanceDateTime ASC
)
SELECT z.EID
, TIMESTAMPDIFF(MINUTE, z.TS, q.TS) AS mins
FROM cteA AS z
JOIN cteA AS q ON q.EID = z.EID
AND z.cnt = q.cnt+1
AND z.cnt % 2 = 1
)
SELECT x.EID AS EmpID
, SUM(x.mins) AS Eminutes
FROM cteB AS x
GROUP BY x.EID
ORDER BY x.EID ASC
;
The same result can be achieved in the earlier versions of mysql with subqueries.
answered Aug 18 '18 at 9:48
KondybasKondybas
2,633912
1
The OP states "EmpId 81 has login and logout two times in same day", so this does not answer the question
– Philᵀᴹ
Aug 18 '18 at 12:46
This is valueable but i am looking for solution with multiple entries
– Muhammad Faizan Khan
Aug 18 '18 at 13:00
add a comment |
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1 Answer
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1 Answer
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oldest
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0
Well, I've made an assumption that first event each day for each employee is the login.
For mysql 8.x having CTEs the query can be the next:
WITH cteB (EID, mins) AS
(
WITH cteA (EID, TS, cnt) AS
(
SELECT w.EmpId
, w.AttendanceDateTime
, IF( @prevEID != @prevID := w.EmpID, @cnt := 1, @cnt := @cnt+1 ) AS cnt
FROM table AS w
ORDER BY w.EmpId ASC
, w.AttendanceDateTime ASC
)
SELECT z.EID
, TIMESTAMPDIFF(MINUTE, z.TS, q.TS) AS mins
FROM cteA AS z
JOIN cteA AS q ON q.EID = z.EID
AND z.cnt = q.cnt+1
AND z.cnt % 2 = 1
)
SELECT x.EID AS EmpID
, SUM(x.mins) AS Eminutes
FROM cteB AS x
GROUP BY x.EID
ORDER BY x.EID ASC
;
The same result can be achieved in the earlier versions of mysql with subqueries.
answered Aug 18 '18 at 9:48
KondybasKondybas
2,633912
1
The OP states "EmpId 81 has login and logout two times in same day", so this does not answer the question
– Philᵀᴹ
Aug 18 '18 at 12:46
This is valueable but i am looking for solution with multiple entries
– Muhammad Faizan Khan
Aug 18 '18 at 13:00
add a comment |
0
Well, I've made an assumption that first event each day for each employee is the login.
For mysql 8.x having CTEs the query can be the next:
WITH cteB (EID, mins) AS
(
WITH cteA (EID, TS, cnt) AS
(
SELECT w.EmpId
, w.AttendanceDateTime
, IF( @prevEID != @prevID := w.EmpID, @cnt := 1, @cnt := @cnt+1 ) AS cnt
FROM table AS w
ORDER BY w.EmpId ASC
, w.AttendanceDateTime ASC
)
SELECT z.EID
, TIMESTAMPDIFF(MINUTE, z.TS, q.TS) AS mins
FROM cteA AS z
JOIN cteA AS q ON q.EID = z.EID
AND z.cnt = q.cnt+1
AND z.cnt % 2 = 1
)
SELECT x.EID AS EmpID
, SUM(x.mins) AS Eminutes
FROM cteB AS x
GROUP BY x.EID
ORDER BY x.EID ASC
;
The same result can be achieved in the earlier versions of mysql with subqueries.
answered Aug 18 '18 at 9:48
KondybasKondybas
2,633912
1
The OP states "EmpId 81 has login and logout two times in same day", so this does not answer the question
– Philᵀᴹ
Aug 18 '18 at 12:46
This is valueable but i am looking for solution with multiple entries
– Muhammad Faizan Khan
Aug 18 '18 at 13:00
add a comment |
0
0
0
Well, I've made an assumption that first event each day for each employee is the login.
For mysql 8.x having CTEs the query can be the next:
WITH cteB (EID, mins) AS
(
WITH cteA (EID, TS, cnt) AS
(
SELECT w.EmpId
, w.AttendanceDateTime
, IF( @prevEID != @prevID := w.EmpID, @cnt := 1, @cnt := @cnt+1 ) AS cnt
FROM table AS w
ORDER BY w.EmpId ASC
, w.AttendanceDateTime ASC
)
SELECT z.EID
, TIMESTAMPDIFF(MINUTE, z.TS, q.TS) AS mins
FROM cteA AS z
JOIN cteA AS q ON q.EID = z.EID
AND z.cnt = q.cnt+1
AND z.cnt % 2 = 1
)
SELECT x.EID AS EmpID
, SUM(x.mins) AS Eminutes
FROM cteB AS x
GROUP BY x.EID
ORDER BY x.EID ASC
;
The same result can be achieved in the earlier versions of mysql with subqueries.
answered Aug 18 '18 at 9:48
KondybasKondybas
2,633912
Well, I've made an assumption that first event each day for each employee is the login.
For mysql 8.x having CTEs the query can be the next:
WITH cteB (EID, mins) AS
(
WITH cteA (EID, TS, cnt) AS
(
SELECT w.EmpId
, w.AttendanceDateTime
, IF( @prevEID != @prevID := w.EmpID, @cnt := 1, @cnt := @cnt+1 ) AS cnt
FROM table AS w
ORDER BY w.EmpId ASC
, w.AttendanceDateTime ASC
)
SELECT z.EID
, TIMESTAMPDIFF(MINUTE, z.TS, q.TS) AS mins
FROM cteA AS z
JOIN cteA AS q ON q.EID = z.EID
AND z.cnt = q.cnt+1
AND z.cnt % 2 = 1
)
SELECT x.EID AS EmpID
, SUM(x.mins) AS Eminutes
FROM cteB AS x
GROUP BY x.EID
ORDER BY x.EID ASC
;
The same result can be achieved in the earlier versions of mysql with subqueries.
answered Aug 18 '18 at 9:48
KondybasKondybas
2,633912
edited Aug 18 '18 at 14:02
answered Aug 18 '18 at 9:48
KondybasKondybas
2,633912
answered Aug 18 '18 at 9:48
KondybasKondybas
2,633912
answered Aug 18 '18 at 9:48
KondybasKondybas
2,633912
2,633912
1
The OP states "EmpId 81 has login and logout two times in same day", so this does not answer the question
– Philᵀᴹ
Aug 18 '18 at 12:46
This is valueable but i am looking for solution with multiple entries
– Muhammad Faizan Khan
Aug 18 '18 at 13:00
add a comment |
1
The OP states "EmpId 81 has login and logout two times in same day", so this does not answer the question
– Philᵀᴹ
Aug 18 '18 at 12:46
This is valueable but i am looking for solution with multiple entries
– Muhammad Faizan Khan
Aug 18 '18 at 13:00
1
1
The OP states "EmpId 81 has login and logout two times in same day", so this does not answer the question
– Philᵀᴹ
Aug 18 '18 at 12:46
The OP states "EmpId 81 has login and logout two times in same day", so this does not answer the question
– Philᵀᴹ
Aug 18 '18 at 12:46
This is valueable but i am looking for solution with multiple entries
– Muhammad Faizan Khan
Aug 18 '18 at 13:00
This is valueable but i am looking for solution with multiple entries
– Muhammad Faizan Khan
Aug 18 '18 at 13:00
add a comment |
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Your structure seems incomplete, since it does not indicate whether an event is a login or logout, and assumptions of clean pairing and ordering, and sessions never spanning midnight... seem problematic. You don't need to store minutes, but updating the login row with a logout time or another strategy that captures a more thorough perspective of what is actually happening might be a distinct improvement. Solving this problem with the current schemata with pure declarative SQL (no procs, functions, temp tables, cursors, etc.) seems like it will not be straightforward.
– Michael - sqlbot
Aug 18 '18 at 23:20
Unrelated, but very important: The pairing of login to logout will fail some day. Someone will fail to logout. Or will login twice. Or the system will drop a record. Or...
– Rick James
Aug 26 '18 at 22:29