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Sumarize leave time proportionally and correctly - mysql

P: 1
n mysql database i created "leave" table:

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  1. CREATE TABLE `leave` ( 
  2. `ID_LEAVE` int(11) NOT NULL,
  3. `ID_WORKER` int(11) NOT NULL,
  4. `BEGIN_DATE` datetime DEFAULT NULL,
  5. `END_DATE` datetime DEFAULT NULL
  6. )
  7.  
  8. INSERT INTO `leave` 
  9. (`ID_LEAVE`, `ID_WORKER`, `BEGIN_DATE`, `END_DATE`) VALUES
  10. (3, 26, '2019-03-20 07:00:00', '2019-03-21 15:00:00'),
  11. (4, 22, '2019-03-20 07:00:00', '2019-03-20 15:00:00');
"Workers" table:

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  1. CREATE TABLE `workers` (
  2. `ID_WORKER` int(11) NOT NULL,
  3. `FNAME` varchar(20) NOT NULL,
  4. `LNAME` varchar(20) NOT NULL
  5. )
  6.  
  7. INSERT INTO `workers` (`ID_WORKER`, `FNAME`, `LNAME`) VALUES
  8. (22, 'ALAN', 'FAST'),
  9. (23, 'LEON', 'SPEED'),
  10. (24, 'ADAM', 'GREEN'),
  11. (25, 'DAVID', 'BUCS'),
  12. (26, 'JACK', 'FAR'),
  13. (27, 'ADAM', 'GAX'),
  14. (28, 'ANDREW', 'WORM');
"Orders" table:

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  1. CREATE TABLE `orders` (
  2. `ID_ORDER` int(11) NOT NULL,
  3. `DESC_ORDER` varchar(50) NOT NULL,
  4. `NUMBER_ORDER` varchar(30) NOT NULL
  5. )
  6.  
  7. INSERT INTO `orders` (`ID_ORDER`, `DESC_ORDER`, `NUMBER_ORDER`) VALUES
  8. (19, 'TEST', 'TEST'),
  9. (20, 'TEST2', 'TEST2'),
  10. (21, 'TEST3', 'TEST3'),
  11. (22, 'TEST4', 'TEST4');
"Order_status" table (I'm sorry for that's not in order):

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  1. CREATE TABLE `order_status` (
  2. `ID_STATUS` int(11) NOT NULL,
  3. `ID_ORDER` int(11) NOT NULL,
  4. `ID_WORKER` int(11) NOT NULL,
  5. `BEGIN_DATE` datetime NOT NULL,
  6. `END_DATE` datetime NOT NULL,
  7. `ORDER_DONE` tinyint(1) DEFAULT NULL
  8.  
  9. INSERT INTO `order_status` (`ID_STATUS`, `ID_ORDER`, `ID_WORKER`, `BEGIN_DATE`, `END_DATE`, `ORDER_DONE`) VALUES
  10. (30, 19, 26, '2019-03-18 06:40:21', '2019-03-18 15:22:32', 'NO'),
  11. (31, 19, 25, '2019-03-18 06:51:23', '2019-03-18 15:11:10', 'NO'),
  12. (32, 19, 26, '2019-03-20 06:23:32', '2019-03-20 15:33:11', 'NO'),
  13. (33, 19, 25, '2019-03-20 06:44:42', '2019-03-20 15:16:22', 'NO'),
  14. (34, 19, 26, '2019-03-22 06:44:32', '2019-03-22 11:44:54', 'YES'),
  15. (35, 19, 25, '2019-03-22 06:59:22', '2019-03-22 12:33:33', 'YES'),
  16. (42, 20, 22, '2019-03-18 06:44:23', '2019-03-18 15:11:23', 'NO'),
  17. (43, 20, 23, '2019-03-18 06:50:45', '2019-03-18 15:15:44', 'NO'),
  18. (44, 20, 22, '2019-03-19 06:40:20', '2019-03-19 15:23:30', 'NO'),
  19. (45, 20, 22, '2019-03-21 06:55:45', '2019-03-21 16:03:23', 'NO'),
  20. (46, 20, 22, '2019-03-22 06:55:45', '2019-03-22 13:23:44', 'YES'),
  21. (47, 20, 23, '2019-03-19 06:45:23', '2019-03-19 15:33:23', 'NO'),
  22. (48, 20, 23, '2019-03-20 06:45:23', '2019-03-20 15:22:23', 'NO'),
  23. (49, 20, 23, '2019-03-21 06:50:33', '2019-03-21 15:33:11', 'NO'),
  24. (50, 20, 23, '2019-03-22 06:44:23', '2019-03-22 12:22:44', 'YES'),
  25. (51, 21, 24, '2019-03-18 06:46:55', '2019-03-18 15:23:22', 'NO'),
  26. (52, 21, 24, '2019-03-19 06:55:33', '2019-03-19 15:23:33', 'NO'),
  27. (53, 21, 24, '2019-03-20 06:50:59', '2019-03-20 15:44:02', 'NO'),
  28. (54, 21, 24, '2019-03-21 06:44:33', '2019-03-21 15:23:33', 'YES'),
  29. (55, 21, 24, '2019-03-22 06:49:33', '2019-03-22 11:22:32', 'YES'),
  30. (56, 22, 27, '2019-03-18 06:50:12', '2019-03-18 15:22:15', 'NO'),
  31. (57, 22, 28, '2019-03-18 06:44:12', '2019-03-18 15:33:44', 'NO'),
  32. (58, 22, 27, '2019-03-19 06:53:22', '2019-03-19 15:22:33', 'NO'),
  33. (59, 22, 28, '2019-03-19 06:33:22', '2019-03-19 15:15:22', 'NO'),
  34. (60, 22, 28, '2019-03-21 06:33:22', '2019-03-21 15:01:56', 'NO'),
  35. (61, 22, 27, '2019-03-22 06:33:22', '2019-03-22 11:05:33', 'YES'),
  36. (62, 22, 27, '2019-03-21 06:45:22', '2019-03-21 15:33:33', 'NO'),
  37. (63, 22, 28, '2019-03-22 06:51:33', '2019-03-22 10:35:55', 'YES'),
  38. (64, 19, 25, '2019-03-19 06:50:32', '2019-03-19 15:33:44', 'NO'),
  39. (65, 19, 26, '2019-03-19 06:44:50', '2019-03-19 15:22:33', 'NO'),
  40. (66, 19, 25, '2019-03-21 06:50:50', '2019-03-21 15:33:33', 'NO');
  41. (67, 22, 27, '2019-03-20 06:51:32', '2019-03-20 15:20:33', 'NO');
What i've done:

I can to sumarize "Order time" of each other workers. I have selected workers (LNAME, FNAME) orders (DESC_ORDER and NUMBER_ORDER) and "TOTAL TIME" on order from each other workers correctly too. I wrote the mysql command in below:

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  1. SELECT workers.FNAME, 
  2. workers.LNAME, 
  3. order_statusAgg.NUMBER_ORDER,
  4. order_statusAgg.DESC_ORDER, 
  5. SEC_TO_TIME(SUM(order_statusAgg.stime)) AS 'ORDER TIME'
  6. FROM workers
  7. LEFT JOIN (
  8. SELECT order_status.ID_WORKER, orders.NUMBER_ORDER, orders.DESC_ORDER, 
  9. SUM((TIME_TO_SEC(order_status.END_DATE) - TIME_TO_SEC(order_status.BEGIN_DATE))) AS stime 
  10. FROM order_status INNER JOIN orders
  11. ON orders.ID_ORDER = order_status.ID_ORDER
  12. GROUP BY order_status.ID_WORKER) order_statusAgg
  13. ON workers.ID_WORKER = order_statusAgg.ID_WORKER
  14. WHERE order_statusAgg.NUMBER_ORDER LIKE 'TEST'
  15. GROUP BY workers.ID_WORKER;
Then i get:

+---------+---------+---------------+------------+------------+
| FNAME | LNAME | NUMBER_ORDER | DESC_ORDER | ORDER TIME |
+---------+---------+---------------+------------+------------+
| DAVID | BUCS | TEST | TEST | 22:30:21 |
+---------+---------+---------------+------------+------------+
| JACK | FAR | TEST | TEST | 21:19:18 |
+---------+---------+---------------+------------+------------+
I've analyzed 2 days (20.03.2019 and 21.03.2019). Photos are in below:

https://i.stack.imgur.com/ooDoz.jpg

https://i.stack.imgur.com/Kksge.jpg

Now i need mysql query that sumarize leave time correctly and PROPORTIONALLY to pattern described in below:

https://i.stack.imgur.com/DyacM.jpg

for example for leave time where ID_WORKER = 26 (he has order "TEST")

'08:31:40' '08:31:40'
(-------------------------------------------------) * 8:00:00 = (--------------) * 8:00:00 = 2:00:16
'08:31:40' + '08:37:00' + '08:53:03' + '08:29:01' '34:30:44'
What I've tried: I've tried sum leave time by mysql query in below:

Expand|Select|Wrap|Line Numbers
  1. SELECT workers.FNAME, 
  2. workers.LNAME, 
  3. order_statusAgg.NUMBER_ORDER,
  4. order_statusAgg.DESC_ORDER, 
  5. SEC_TO_TIME(SUM(order_statusAgg.stime)) AS 'ORDER TIME', 
  6. IFNULL(SEC_TO_TIME(SUM(leaveAgg.ltime)),'00:00:00') AS 'LEAVE TIME'
  7. FROM workers
  8. LEFT JOIN (SELECT leave.ID_WORKER, SUM((datediff(leave.BEGIN_DATE, leave.END_DATE) + 1) * (time_to_sec(time(leave.END_DATE)) - time_to_sec(time(leave.BEGIN_DATE)))) AS ltime FROM leave
  9. LEFT JOIN
  10. (SELECT ID_WORKER, MIN(BEGIN_DATE) AS 'MIN_BEGIN_DATE', MAX(END_DATE) AS 'MAX_END_DATE' 
  11. FROM order_status GROUP BY ID_WORKER) ordstat ON 
  12. leave.ID_WORKER = ordstat.ID_WORKER 
  13. WHERE leave.END_DATE <= MAX_END_DATE AND leave.BEGIN_DATE >= MIN_BEGIN_DATE GROUP BY leave.ID_WORKER) leaveAgg
  14. ON leaveAgg.ID_WORKER = workers.ID_WORKER
  15. LEFT JOIN (
  16. SELECT order_status.ID_WORKER, orders.NUMBER_ORDER, orders.DESC_ORDER, 
  17. SUM((TIME_TO_SEC(order_status.END_DATE) - TIME_TO_SEC(order_status.BEGIN_DATE))) AS stime 
  18. FROM order_status INNER JOIN orders
  19. ON orders.ID_ORDER = order_status.ID_ORDER
  20. GROUP BY order_status.ID_WORKER) order_statusAgg
  21. ON workers.ID_WORKER = order_statusAgg.ID_WORKER
  22. WHERE order_statusAgg.NUMBER_ORDER LIKE 'TEST'
  23. GROUP BY workers.ID_WORKER;
But I'm afraid that isn't enough because it only adds for example:

22:30:21 + 8:00:00 = 30:30:21
I wanna get that result:

22:30:21 + 2:00:16 = 24:30:37
CAUTION! If someone get's 2 or more days of leaves i cannot do that like this:

'08:31:40'
(-------------------------------------------------) * 16:00:00
'08:31:40' + '08:37:00' + '08:53:03' + '08:29:01'
I have to analyze every day like that example where i explained.

I know that's more difficult question i cannot find any clue how to solve it. Can someone please what should i change or add. Thank you in advance for any help or advice.
Apr 1 '19 #1
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1 Reply


zmbd
Expert Mod 5K+
P: 5,387
Prochotap,
I think that your images on i.stack.imgur.com may have caused your post to flag as spam.
Instead of linking to these images please use the [advanced] editor and attach the images to your thread.

BTW: Quite often images on sites such as imgur.com are unavailable to our experts when they are helping from their workplace - companies tend to block these sites.
May 1 '19 #2

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