Sumarize leave time proportionally and correctly - mysql












0















In mysql database i created "leave" table:



CREATE TABLE `leave` ( 
`ID_LEAVE` int(11) NOT NULL,
`ID_WORKER` int(11) NOT NULL,
`BEGIN_DATE` datetime DEFAULT NULL,
`END_DATE` datetime DEFAULT NULL
)

INSERT INTO `leave`
(`ID_LEAVE`, `ID_WORKER`, `BEGIN_DATE`, `END_DATE`) VALUES
(3, 26, '2019-03-20 07:00:00', '2019-03-21 15:00:00'),
(4, 22, '2019-03-20 07:00:00', '2019-03-20 15:00:00');


"Workers" table:



CREATE TABLE `workers` (
`ID_WORKER` int(11) NOT NULL,
`FNAME` varchar(20) NOT NULL,
`LNAME` varchar(20) NOT NULL
)

INSERT INTO `workers` (`ID_WORKER`, `FNAME`, `LNAME`) VALUES
(22, 'ALAN', 'FAST'),
(23, 'LEON', 'SPEED'),
(24, 'ADAM', 'GREEN'),
(25, 'DAVID', 'BUCS'),
(26, 'JACK', 'FAR'),
(27, 'ADAM', 'GAX'),
(28, 'ANDREW', 'WORM');


"Orders" table:



CREATE TABLE `orders` (
`ID_ORDER` int(11) NOT NULL,
`DESC_ORDER` varchar(50) NOT NULL,
`NUMBER_ORDER` varchar(30) NOT NULL
)

INSERT INTO `orders` (`ID_ORDER`, `DESC_ORDER`, `NUMBER_ORDER`) VALUES
(19, 'TEST', 'TEST'),
(20, 'TEST2', 'TEST2'),
(21, 'TEST3', 'TEST3'),
(22, 'TEST4', 'TEST4');


"Order_status" table (I'm sorry for that's not in order):



CREATE TABLE `order_status` (
`ID_STATUS` int(11) NOT NULL,
`ID_ORDER` int(11) NOT NULL,
`ID_WORKER` int(11) NOT NULL,
`BEGIN_DATE` datetime NOT NULL,
`END_DATE` datetime NOT NULL,
`ORDER_DONE` tinyint(1) DEFAULT NULL
)

INSERT INTO `order_status` (`ID_STATUS`, `ID_ORDER`, `ID_WORKER`, `BEGIN_DATE`, `END_DATE`, `ORDER_DONE`) VALUES
(30, 19, 26, '2019-03-18 06:40:21', '2019-03-18 15:22:32', 'NO'),
(31, 19, 25, '2019-03-18 06:51:23', '2019-03-18 15:11:10', 'NO'),
(32, 19, 26, '2019-03-20 06:23:32', '2019-03-20 15:33:11', 'NO'),
(33, 19, 25, '2019-03-20 06:44:42', '2019-03-20 15:16:22', 'NO'),
(34, 19, 26, '2019-03-22 06:44:32', '2019-03-22 11:44:54', 'YES'),
(35, 19, 25, '2019-03-22 06:59:22', '2019-03-22 12:33:33', 'YES'),
(42, 20, 22, '2019-03-18 06:44:23', '2019-03-18 15:11:23', 'NO'),
(43, 20, 23, '2019-03-18 06:50:45', '2019-03-18 15:15:44', 'NO'),
(44, 20, 22, '2019-03-19 06:40:20', '2019-03-19 15:23:30', 'NO'),
(45, 20, 22, '2019-03-21 06:55:45', '2019-03-21 16:03:23', 'NO'),
(46, 20, 22, '2019-03-22 06:55:45', '2019-03-22 13:23:44', 'YES'),
(47, 20, 23, '2019-03-19 06:45:23', '2019-03-19 15:33:23', 'NO'),
(48, 20, 23, '2019-03-20 06:45:23', '2019-03-20 15:22:23', 'NO'),
(49, 20, 23, '2019-03-21 06:50:33', '2019-03-21 15:33:11', 'NO'),
(50, 20, 23, '2019-03-22 06:44:23', '2019-03-22 12:22:44', 'YES'),
(51, 21, 24, '2019-03-18 06:46:55', '2019-03-18 15:23:22', 'NO'),
(52, 21, 24, '2019-03-19 06:55:33', '2019-03-19 15:23:33', 'NO'),
(53, 21, 24, '2019-03-20 06:50:59', '2019-03-20 15:44:02', 'NO'),
(54, 21, 24, '2019-03-21 06:44:33', '2019-03-21 15:23:33', 'YES'),
(55, 21, 24, '2019-03-22 06:49:33', '2019-03-22 11:22:32', 'YES'),
(56, 22, 27, '2019-03-18 06:50:12', '2019-03-18 15:22:15', 'NO'),
(57, 22, 28, '2019-03-18 06:44:12', '2019-03-18 15:33:44', 'NO'),
(58, 22, 27, '2019-03-19 06:53:22', '2019-03-19 15:22:33', 'NO'),
(59, 22, 28, '2019-03-19 06:33:22', '2019-03-19 15:15:22', 'NO'),
(60, 22, 28, '2019-03-21 06:33:22', '2019-03-21 15:01:56', 'NO'),
(61, 22, 27, '2019-03-22 06:33:22', '2019-03-22 11:05:33', 'YES'),
(62, 22, 27, '2019-03-21 06:45:22', '2019-03-21 15:33:33', 'NO'),
(63, 22, 28, '2019-03-22 06:51:33', '2019-03-22 10:35:55', 'YES'),
(64, 19, 25, '2019-03-19 06:50:32', '2019-03-19 15:33:44', 'NO'),
(65, 19, 26, '2019-03-19 06:44:50', '2019-03-19 15:22:33', 'NO'),
(66, 19, 25, '2019-03-21 06:50:50', '2019-03-21 15:33:33', 'NO');
(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:



SELECT workers.FNAME, 
workers.LNAME,
order_statusAgg.NUMBER_ORDER,
order_statusAgg.DESC_ORDER,
SEC_TO_TIME(SUM(order_statusAgg.stime)) AS 'ORDER TIME'
FROM workers
LEFT JOIN (
SELECT order_status.ID_WORKER, orders.NUMBER_ORDER, orders.DESC_ORDER,
SUM((TIME_TO_SEC(order_status.END_DATE) - TIME_TO_SEC(order_status.BEGIN_DATE))) AS stime
FROM order_status INNER JOIN orders
ON orders.ID_ORDER = order_status.ID_ORDER
GROUP BY order_status.ID_WORKER) order_statusAgg
ON workers.ID_WORKER = order_statusAgg.ID_WORKER
WHERE order_statusAgg.NUMBER_ORDER LIKE 'TEST'
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:



enter image description here



enter image description here



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



enter image description here



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:



SELECT workers.FNAME, 
workers.LNAME,
order_statusAgg.NUMBER_ORDER,
order_statusAgg.DESC_ORDER,
SEC_TO_TIME(SUM(order_statusAgg.stime)) AS 'ORDER TIME',
IFNULL(SEC_TO_TIME(SUM(leaveAgg.ltime)),'00:00:00') AS 'LEAVE TIME'
FROM workers
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
LEFT JOIN
(SELECT ID_WORKER, MIN(BEGIN_DATE) AS 'MIN_BEGIN_DATE', MAX(END_DATE) AS 'MAX_END_DATE'
FROM order_status GROUP BY ID_WORKER) ordstat ON
leave.ID_WORKER = ordstat.ID_WORKER
WHERE leave.END_DATE <= MAX_END_DATE AND leave.BEGIN_DATE >= MIN_BEGIN_DATE GROUP BY leave.ID_WORKER) leaveAgg
ON leaveAgg.ID_WORKER = workers.ID_WORKER
LEFT JOIN (
SELECT order_status.ID_WORKER, orders.NUMBER_ORDER, orders.DESC_ORDER,
SUM((TIME_TO_SEC(order_status.END_DATE) - TIME_TO_SEC(order_status.BEGIN_DATE))) AS stime
FROM order_status INNER JOIN orders
ON orders.ID_ORDER = order_status.ID_ORDER
GROUP BY order_status.ID_WORKER) order_statusAgg
ON workers.ID_WORKER = order_statusAgg.ID_WORKER
WHERE order_statusAgg.NUMBER_ORDER LIKE 'TEST'
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.









share







New contributor




Prochu1991 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

























    0















    In mysql database i created "leave" table:



    CREATE TABLE `leave` ( 
    `ID_LEAVE` int(11) NOT NULL,
    `ID_WORKER` int(11) NOT NULL,
    `BEGIN_DATE` datetime DEFAULT NULL,
    `END_DATE` datetime DEFAULT NULL
    )

    INSERT INTO `leave`
    (`ID_LEAVE`, `ID_WORKER`, `BEGIN_DATE`, `END_DATE`) VALUES
    (3, 26, '2019-03-20 07:00:00', '2019-03-21 15:00:00'),
    (4, 22, '2019-03-20 07:00:00', '2019-03-20 15:00:00');


    "Workers" table:



    CREATE TABLE `workers` (
    `ID_WORKER` int(11) NOT NULL,
    `FNAME` varchar(20) NOT NULL,
    `LNAME` varchar(20) NOT NULL
    )

    INSERT INTO `workers` (`ID_WORKER`, `FNAME`, `LNAME`) VALUES
    (22, 'ALAN', 'FAST'),
    (23, 'LEON', 'SPEED'),
    (24, 'ADAM', 'GREEN'),
    (25, 'DAVID', 'BUCS'),
    (26, 'JACK', 'FAR'),
    (27, 'ADAM', 'GAX'),
    (28, 'ANDREW', 'WORM');


    "Orders" table:



    CREATE TABLE `orders` (
    `ID_ORDER` int(11) NOT NULL,
    `DESC_ORDER` varchar(50) NOT NULL,
    `NUMBER_ORDER` varchar(30) NOT NULL
    )

    INSERT INTO `orders` (`ID_ORDER`, `DESC_ORDER`, `NUMBER_ORDER`) VALUES
    (19, 'TEST', 'TEST'),
    (20, 'TEST2', 'TEST2'),
    (21, 'TEST3', 'TEST3'),
    (22, 'TEST4', 'TEST4');


    "Order_status" table (I'm sorry for that's not in order):



    CREATE TABLE `order_status` (
    `ID_STATUS` int(11) NOT NULL,
    `ID_ORDER` int(11) NOT NULL,
    `ID_WORKER` int(11) NOT NULL,
    `BEGIN_DATE` datetime NOT NULL,
    `END_DATE` datetime NOT NULL,
    `ORDER_DONE` tinyint(1) DEFAULT NULL
    )

    INSERT INTO `order_status` (`ID_STATUS`, `ID_ORDER`, `ID_WORKER`, `BEGIN_DATE`, `END_DATE`, `ORDER_DONE`) VALUES
    (30, 19, 26, '2019-03-18 06:40:21', '2019-03-18 15:22:32', 'NO'),
    (31, 19, 25, '2019-03-18 06:51:23', '2019-03-18 15:11:10', 'NO'),
    (32, 19, 26, '2019-03-20 06:23:32', '2019-03-20 15:33:11', 'NO'),
    (33, 19, 25, '2019-03-20 06:44:42', '2019-03-20 15:16:22', 'NO'),
    (34, 19, 26, '2019-03-22 06:44:32', '2019-03-22 11:44:54', 'YES'),
    (35, 19, 25, '2019-03-22 06:59:22', '2019-03-22 12:33:33', 'YES'),
    (42, 20, 22, '2019-03-18 06:44:23', '2019-03-18 15:11:23', 'NO'),
    (43, 20, 23, '2019-03-18 06:50:45', '2019-03-18 15:15:44', 'NO'),
    (44, 20, 22, '2019-03-19 06:40:20', '2019-03-19 15:23:30', 'NO'),
    (45, 20, 22, '2019-03-21 06:55:45', '2019-03-21 16:03:23', 'NO'),
    (46, 20, 22, '2019-03-22 06:55:45', '2019-03-22 13:23:44', 'YES'),
    (47, 20, 23, '2019-03-19 06:45:23', '2019-03-19 15:33:23', 'NO'),
    (48, 20, 23, '2019-03-20 06:45:23', '2019-03-20 15:22:23', 'NO'),
    (49, 20, 23, '2019-03-21 06:50:33', '2019-03-21 15:33:11', 'NO'),
    (50, 20, 23, '2019-03-22 06:44:23', '2019-03-22 12:22:44', 'YES'),
    (51, 21, 24, '2019-03-18 06:46:55', '2019-03-18 15:23:22', 'NO'),
    (52, 21, 24, '2019-03-19 06:55:33', '2019-03-19 15:23:33', 'NO'),
    (53, 21, 24, '2019-03-20 06:50:59', '2019-03-20 15:44:02', 'NO'),
    (54, 21, 24, '2019-03-21 06:44:33', '2019-03-21 15:23:33', 'YES'),
    (55, 21, 24, '2019-03-22 06:49:33', '2019-03-22 11:22:32', 'YES'),
    (56, 22, 27, '2019-03-18 06:50:12', '2019-03-18 15:22:15', 'NO'),
    (57, 22, 28, '2019-03-18 06:44:12', '2019-03-18 15:33:44', 'NO'),
    (58, 22, 27, '2019-03-19 06:53:22', '2019-03-19 15:22:33', 'NO'),
    (59, 22, 28, '2019-03-19 06:33:22', '2019-03-19 15:15:22', 'NO'),
    (60, 22, 28, '2019-03-21 06:33:22', '2019-03-21 15:01:56', 'NO'),
    (61, 22, 27, '2019-03-22 06:33:22', '2019-03-22 11:05:33', 'YES'),
    (62, 22, 27, '2019-03-21 06:45:22', '2019-03-21 15:33:33', 'NO'),
    (63, 22, 28, '2019-03-22 06:51:33', '2019-03-22 10:35:55', 'YES'),
    (64, 19, 25, '2019-03-19 06:50:32', '2019-03-19 15:33:44', 'NO'),
    (65, 19, 26, '2019-03-19 06:44:50', '2019-03-19 15:22:33', 'NO'),
    (66, 19, 25, '2019-03-21 06:50:50', '2019-03-21 15:33:33', 'NO');
    (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:



    SELECT workers.FNAME, 
    workers.LNAME,
    order_statusAgg.NUMBER_ORDER,
    order_statusAgg.DESC_ORDER,
    SEC_TO_TIME(SUM(order_statusAgg.stime)) AS 'ORDER TIME'
    FROM workers
    LEFT JOIN (
    SELECT order_status.ID_WORKER, orders.NUMBER_ORDER, orders.DESC_ORDER,
    SUM((TIME_TO_SEC(order_status.END_DATE) - TIME_TO_SEC(order_status.BEGIN_DATE))) AS stime
    FROM order_status INNER JOIN orders
    ON orders.ID_ORDER = order_status.ID_ORDER
    GROUP BY order_status.ID_WORKER) order_statusAgg
    ON workers.ID_WORKER = order_statusAgg.ID_WORKER
    WHERE order_statusAgg.NUMBER_ORDER LIKE 'TEST'
    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:



    enter image description here



    enter image description here



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



    enter image description here



    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:



    SELECT workers.FNAME, 
    workers.LNAME,
    order_statusAgg.NUMBER_ORDER,
    order_statusAgg.DESC_ORDER,
    SEC_TO_TIME(SUM(order_statusAgg.stime)) AS 'ORDER TIME',
    IFNULL(SEC_TO_TIME(SUM(leaveAgg.ltime)),'00:00:00') AS 'LEAVE TIME'
    FROM workers
    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
    LEFT JOIN
    (SELECT ID_WORKER, MIN(BEGIN_DATE) AS 'MIN_BEGIN_DATE', MAX(END_DATE) AS 'MAX_END_DATE'
    FROM order_status GROUP BY ID_WORKER) ordstat ON
    leave.ID_WORKER = ordstat.ID_WORKER
    WHERE leave.END_DATE <= MAX_END_DATE AND leave.BEGIN_DATE >= MIN_BEGIN_DATE GROUP BY leave.ID_WORKER) leaveAgg
    ON leaveAgg.ID_WORKER = workers.ID_WORKER
    LEFT JOIN (
    SELECT order_status.ID_WORKER, orders.NUMBER_ORDER, orders.DESC_ORDER,
    SUM((TIME_TO_SEC(order_status.END_DATE) - TIME_TO_SEC(order_status.BEGIN_DATE))) AS stime
    FROM order_status INNER JOIN orders
    ON orders.ID_ORDER = order_status.ID_ORDER
    GROUP BY order_status.ID_WORKER) order_statusAgg
    ON workers.ID_WORKER = order_statusAgg.ID_WORKER
    WHERE order_statusAgg.NUMBER_ORDER LIKE 'TEST'
    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.









    share







    New contributor




    Prochu1991 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.























      0












      0








      0








      In mysql database i created "leave" table:



      CREATE TABLE `leave` ( 
      `ID_LEAVE` int(11) NOT NULL,
      `ID_WORKER` int(11) NOT NULL,
      `BEGIN_DATE` datetime DEFAULT NULL,
      `END_DATE` datetime DEFAULT NULL
      )

      INSERT INTO `leave`
      (`ID_LEAVE`, `ID_WORKER`, `BEGIN_DATE`, `END_DATE`) VALUES
      (3, 26, '2019-03-20 07:00:00', '2019-03-21 15:00:00'),
      (4, 22, '2019-03-20 07:00:00', '2019-03-20 15:00:00');


      "Workers" table:



      CREATE TABLE `workers` (
      `ID_WORKER` int(11) NOT NULL,
      `FNAME` varchar(20) NOT NULL,
      `LNAME` varchar(20) NOT NULL
      )

      INSERT INTO `workers` (`ID_WORKER`, `FNAME`, `LNAME`) VALUES
      (22, 'ALAN', 'FAST'),
      (23, 'LEON', 'SPEED'),
      (24, 'ADAM', 'GREEN'),
      (25, 'DAVID', 'BUCS'),
      (26, 'JACK', 'FAR'),
      (27, 'ADAM', 'GAX'),
      (28, 'ANDREW', 'WORM');


      "Orders" table:



      CREATE TABLE `orders` (
      `ID_ORDER` int(11) NOT NULL,
      `DESC_ORDER` varchar(50) NOT NULL,
      `NUMBER_ORDER` varchar(30) NOT NULL
      )

      INSERT INTO `orders` (`ID_ORDER`, `DESC_ORDER`, `NUMBER_ORDER`) VALUES
      (19, 'TEST', 'TEST'),
      (20, 'TEST2', 'TEST2'),
      (21, 'TEST3', 'TEST3'),
      (22, 'TEST4', 'TEST4');


      "Order_status" table (I'm sorry for that's not in order):



      CREATE TABLE `order_status` (
      `ID_STATUS` int(11) NOT NULL,
      `ID_ORDER` int(11) NOT NULL,
      `ID_WORKER` int(11) NOT NULL,
      `BEGIN_DATE` datetime NOT NULL,
      `END_DATE` datetime NOT NULL,
      `ORDER_DONE` tinyint(1) DEFAULT NULL
      )

      INSERT INTO `order_status` (`ID_STATUS`, `ID_ORDER`, `ID_WORKER`, `BEGIN_DATE`, `END_DATE`, `ORDER_DONE`) VALUES
      (30, 19, 26, '2019-03-18 06:40:21', '2019-03-18 15:22:32', 'NO'),
      (31, 19, 25, '2019-03-18 06:51:23', '2019-03-18 15:11:10', 'NO'),
      (32, 19, 26, '2019-03-20 06:23:32', '2019-03-20 15:33:11', 'NO'),
      (33, 19, 25, '2019-03-20 06:44:42', '2019-03-20 15:16:22', 'NO'),
      (34, 19, 26, '2019-03-22 06:44:32', '2019-03-22 11:44:54', 'YES'),
      (35, 19, 25, '2019-03-22 06:59:22', '2019-03-22 12:33:33', 'YES'),
      (42, 20, 22, '2019-03-18 06:44:23', '2019-03-18 15:11:23', 'NO'),
      (43, 20, 23, '2019-03-18 06:50:45', '2019-03-18 15:15:44', 'NO'),
      (44, 20, 22, '2019-03-19 06:40:20', '2019-03-19 15:23:30', 'NO'),
      (45, 20, 22, '2019-03-21 06:55:45', '2019-03-21 16:03:23', 'NO'),
      (46, 20, 22, '2019-03-22 06:55:45', '2019-03-22 13:23:44', 'YES'),
      (47, 20, 23, '2019-03-19 06:45:23', '2019-03-19 15:33:23', 'NO'),
      (48, 20, 23, '2019-03-20 06:45:23', '2019-03-20 15:22:23', 'NO'),
      (49, 20, 23, '2019-03-21 06:50:33', '2019-03-21 15:33:11', 'NO'),
      (50, 20, 23, '2019-03-22 06:44:23', '2019-03-22 12:22:44', 'YES'),
      (51, 21, 24, '2019-03-18 06:46:55', '2019-03-18 15:23:22', 'NO'),
      (52, 21, 24, '2019-03-19 06:55:33', '2019-03-19 15:23:33', 'NO'),
      (53, 21, 24, '2019-03-20 06:50:59', '2019-03-20 15:44:02', 'NO'),
      (54, 21, 24, '2019-03-21 06:44:33', '2019-03-21 15:23:33', 'YES'),
      (55, 21, 24, '2019-03-22 06:49:33', '2019-03-22 11:22:32', 'YES'),
      (56, 22, 27, '2019-03-18 06:50:12', '2019-03-18 15:22:15', 'NO'),
      (57, 22, 28, '2019-03-18 06:44:12', '2019-03-18 15:33:44', 'NO'),
      (58, 22, 27, '2019-03-19 06:53:22', '2019-03-19 15:22:33', 'NO'),
      (59, 22, 28, '2019-03-19 06:33:22', '2019-03-19 15:15:22', 'NO'),
      (60, 22, 28, '2019-03-21 06:33:22', '2019-03-21 15:01:56', 'NO'),
      (61, 22, 27, '2019-03-22 06:33:22', '2019-03-22 11:05:33', 'YES'),
      (62, 22, 27, '2019-03-21 06:45:22', '2019-03-21 15:33:33', 'NO'),
      (63, 22, 28, '2019-03-22 06:51:33', '2019-03-22 10:35:55', 'YES'),
      (64, 19, 25, '2019-03-19 06:50:32', '2019-03-19 15:33:44', 'NO'),
      (65, 19, 26, '2019-03-19 06:44:50', '2019-03-19 15:22:33', 'NO'),
      (66, 19, 25, '2019-03-21 06:50:50', '2019-03-21 15:33:33', 'NO');
      (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:



      SELECT workers.FNAME, 
      workers.LNAME,
      order_statusAgg.NUMBER_ORDER,
      order_statusAgg.DESC_ORDER,
      SEC_TO_TIME(SUM(order_statusAgg.stime)) AS 'ORDER TIME'
      FROM workers
      LEFT JOIN (
      SELECT order_status.ID_WORKER, orders.NUMBER_ORDER, orders.DESC_ORDER,
      SUM((TIME_TO_SEC(order_status.END_DATE) - TIME_TO_SEC(order_status.BEGIN_DATE))) AS stime
      FROM order_status INNER JOIN orders
      ON orders.ID_ORDER = order_status.ID_ORDER
      GROUP BY order_status.ID_WORKER) order_statusAgg
      ON workers.ID_WORKER = order_statusAgg.ID_WORKER
      WHERE order_statusAgg.NUMBER_ORDER LIKE 'TEST'
      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:



      enter image description here



      enter image description here



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



      enter image description here



      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:



      SELECT workers.FNAME, 
      workers.LNAME,
      order_statusAgg.NUMBER_ORDER,
      order_statusAgg.DESC_ORDER,
      SEC_TO_TIME(SUM(order_statusAgg.stime)) AS 'ORDER TIME',
      IFNULL(SEC_TO_TIME(SUM(leaveAgg.ltime)),'00:00:00') AS 'LEAVE TIME'
      FROM workers
      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
      LEFT JOIN
      (SELECT ID_WORKER, MIN(BEGIN_DATE) AS 'MIN_BEGIN_DATE', MAX(END_DATE) AS 'MAX_END_DATE'
      FROM order_status GROUP BY ID_WORKER) ordstat ON
      leave.ID_WORKER = ordstat.ID_WORKER
      WHERE leave.END_DATE <= MAX_END_DATE AND leave.BEGIN_DATE >= MIN_BEGIN_DATE GROUP BY leave.ID_WORKER) leaveAgg
      ON leaveAgg.ID_WORKER = workers.ID_WORKER
      LEFT JOIN (
      SELECT order_status.ID_WORKER, orders.NUMBER_ORDER, orders.DESC_ORDER,
      SUM((TIME_TO_SEC(order_status.END_DATE) - TIME_TO_SEC(order_status.BEGIN_DATE))) AS stime
      FROM order_status INNER JOIN orders
      ON orders.ID_ORDER = order_status.ID_ORDER
      GROUP BY order_status.ID_WORKER) order_statusAgg
      ON workers.ID_WORKER = order_statusAgg.ID_WORKER
      WHERE order_statusAgg.NUMBER_ORDER LIKE 'TEST'
      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.









      share







      New contributor




      Prochu1991 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.












      In mysql database i created "leave" table:



      CREATE TABLE `leave` ( 
      `ID_LEAVE` int(11) NOT NULL,
      `ID_WORKER` int(11) NOT NULL,
      `BEGIN_DATE` datetime DEFAULT NULL,
      `END_DATE` datetime DEFAULT NULL
      )

      INSERT INTO `leave`
      (`ID_LEAVE`, `ID_WORKER`, `BEGIN_DATE`, `END_DATE`) VALUES
      (3, 26, '2019-03-20 07:00:00', '2019-03-21 15:00:00'),
      (4, 22, '2019-03-20 07:00:00', '2019-03-20 15:00:00');


      "Workers" table:



      CREATE TABLE `workers` (
      `ID_WORKER` int(11) NOT NULL,
      `FNAME` varchar(20) NOT NULL,
      `LNAME` varchar(20) NOT NULL
      )

      INSERT INTO `workers` (`ID_WORKER`, `FNAME`, `LNAME`) VALUES
      (22, 'ALAN', 'FAST'),
      (23, 'LEON', 'SPEED'),
      (24, 'ADAM', 'GREEN'),
      (25, 'DAVID', 'BUCS'),
      (26, 'JACK', 'FAR'),
      (27, 'ADAM', 'GAX'),
      (28, 'ANDREW', 'WORM');


      "Orders" table:



      CREATE TABLE `orders` (
      `ID_ORDER` int(11) NOT NULL,
      `DESC_ORDER` varchar(50) NOT NULL,
      `NUMBER_ORDER` varchar(30) NOT NULL
      )

      INSERT INTO `orders` (`ID_ORDER`, `DESC_ORDER`, `NUMBER_ORDER`) VALUES
      (19, 'TEST', 'TEST'),
      (20, 'TEST2', 'TEST2'),
      (21, 'TEST3', 'TEST3'),
      (22, 'TEST4', 'TEST4');


      "Order_status" table (I'm sorry for that's not in order):



      CREATE TABLE `order_status` (
      `ID_STATUS` int(11) NOT NULL,
      `ID_ORDER` int(11) NOT NULL,
      `ID_WORKER` int(11) NOT NULL,
      `BEGIN_DATE` datetime NOT NULL,
      `END_DATE` datetime NOT NULL,
      `ORDER_DONE` tinyint(1) DEFAULT NULL
      )

      INSERT INTO `order_status` (`ID_STATUS`, `ID_ORDER`, `ID_WORKER`, `BEGIN_DATE`, `END_DATE`, `ORDER_DONE`) VALUES
      (30, 19, 26, '2019-03-18 06:40:21', '2019-03-18 15:22:32', 'NO'),
      (31, 19, 25, '2019-03-18 06:51:23', '2019-03-18 15:11:10', 'NO'),
      (32, 19, 26, '2019-03-20 06:23:32', '2019-03-20 15:33:11', 'NO'),
      (33, 19, 25, '2019-03-20 06:44:42', '2019-03-20 15:16:22', 'NO'),
      (34, 19, 26, '2019-03-22 06:44:32', '2019-03-22 11:44:54', 'YES'),
      (35, 19, 25, '2019-03-22 06:59:22', '2019-03-22 12:33:33', 'YES'),
      (42, 20, 22, '2019-03-18 06:44:23', '2019-03-18 15:11:23', 'NO'),
      (43, 20, 23, '2019-03-18 06:50:45', '2019-03-18 15:15:44', 'NO'),
      (44, 20, 22, '2019-03-19 06:40:20', '2019-03-19 15:23:30', 'NO'),
      (45, 20, 22, '2019-03-21 06:55:45', '2019-03-21 16:03:23', 'NO'),
      (46, 20, 22, '2019-03-22 06:55:45', '2019-03-22 13:23:44', 'YES'),
      (47, 20, 23, '2019-03-19 06:45:23', '2019-03-19 15:33:23', 'NO'),
      (48, 20, 23, '2019-03-20 06:45:23', '2019-03-20 15:22:23', 'NO'),
      (49, 20, 23, '2019-03-21 06:50:33', '2019-03-21 15:33:11', 'NO'),
      (50, 20, 23, '2019-03-22 06:44:23', '2019-03-22 12:22:44', 'YES'),
      (51, 21, 24, '2019-03-18 06:46:55', '2019-03-18 15:23:22', 'NO'),
      (52, 21, 24, '2019-03-19 06:55:33', '2019-03-19 15:23:33', 'NO'),
      (53, 21, 24, '2019-03-20 06:50:59', '2019-03-20 15:44:02', 'NO'),
      (54, 21, 24, '2019-03-21 06:44:33', '2019-03-21 15:23:33', 'YES'),
      (55, 21, 24, '2019-03-22 06:49:33', '2019-03-22 11:22:32', 'YES'),
      (56, 22, 27, '2019-03-18 06:50:12', '2019-03-18 15:22:15', 'NO'),
      (57, 22, 28, '2019-03-18 06:44:12', '2019-03-18 15:33:44', 'NO'),
      (58, 22, 27, '2019-03-19 06:53:22', '2019-03-19 15:22:33', 'NO'),
      (59, 22, 28, '2019-03-19 06:33:22', '2019-03-19 15:15:22', 'NO'),
      (60, 22, 28, '2019-03-21 06:33:22', '2019-03-21 15:01:56', 'NO'),
      (61, 22, 27, '2019-03-22 06:33:22', '2019-03-22 11:05:33', 'YES'),
      (62, 22, 27, '2019-03-21 06:45:22', '2019-03-21 15:33:33', 'NO'),
      (63, 22, 28, '2019-03-22 06:51:33', '2019-03-22 10:35:55', 'YES'),
      (64, 19, 25, '2019-03-19 06:50:32', '2019-03-19 15:33:44', 'NO'),
      (65, 19, 26, '2019-03-19 06:44:50', '2019-03-19 15:22:33', 'NO'),
      (66, 19, 25, '2019-03-21 06:50:50', '2019-03-21 15:33:33', 'NO');
      (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:



      SELECT workers.FNAME, 
      workers.LNAME,
      order_statusAgg.NUMBER_ORDER,
      order_statusAgg.DESC_ORDER,
      SEC_TO_TIME(SUM(order_statusAgg.stime)) AS 'ORDER TIME'
      FROM workers
      LEFT JOIN (
      SELECT order_status.ID_WORKER, orders.NUMBER_ORDER, orders.DESC_ORDER,
      SUM((TIME_TO_SEC(order_status.END_DATE) - TIME_TO_SEC(order_status.BEGIN_DATE))) AS stime
      FROM order_status INNER JOIN orders
      ON orders.ID_ORDER = order_status.ID_ORDER
      GROUP BY order_status.ID_WORKER) order_statusAgg
      ON workers.ID_WORKER = order_statusAgg.ID_WORKER
      WHERE order_statusAgg.NUMBER_ORDER LIKE 'TEST'
      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:



      enter image description here



      enter image description here



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



      enter image description here



      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:



      SELECT workers.FNAME, 
      workers.LNAME,
      order_statusAgg.NUMBER_ORDER,
      order_statusAgg.DESC_ORDER,
      SEC_TO_TIME(SUM(order_statusAgg.stime)) AS 'ORDER TIME',
      IFNULL(SEC_TO_TIME(SUM(leaveAgg.ltime)),'00:00:00') AS 'LEAVE TIME'
      FROM workers
      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
      LEFT JOIN
      (SELECT ID_WORKER, MIN(BEGIN_DATE) AS 'MIN_BEGIN_DATE', MAX(END_DATE) AS 'MAX_END_DATE'
      FROM order_status GROUP BY ID_WORKER) ordstat ON
      leave.ID_WORKER = ordstat.ID_WORKER
      WHERE leave.END_DATE <= MAX_END_DATE AND leave.BEGIN_DATE >= MIN_BEGIN_DATE GROUP BY leave.ID_WORKER) leaveAgg
      ON leaveAgg.ID_WORKER = workers.ID_WORKER
      LEFT JOIN (
      SELECT order_status.ID_WORKER, orders.NUMBER_ORDER, orders.DESC_ORDER,
      SUM((TIME_TO_SEC(order_status.END_DATE) - TIME_TO_SEC(order_status.BEGIN_DATE))) AS stime
      FROM order_status INNER JOIN orders
      ON orders.ID_ORDER = order_status.ID_ORDER
      GROUP BY order_status.ID_WORKER) order_statusAgg
      ON workers.ID_WORKER = order_statusAgg.ID_WORKER
      WHERE order_statusAgg.NUMBER_ORDER LIKE 'TEST'
      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.







      mysql





      share







      New contributor




      Prochu1991 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.










      share







      New contributor




      Prochu1991 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.








      share



      share






      New contributor




      Prochu1991 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      asked 2 mins ago









      Prochu1991Prochu1991

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      Prochu1991 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






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