Sumarize leave time proportionally and correctly - mysql The Next CEO of Stack Overflowget...

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Sumarize leave time proportionally and correctly - mysql



The Next CEO of Stack Overflowget column from too many tables in mysqlMysql int vs varchar as primary key (InnoDB Storage Engine?Need to find the employees who have switched jobs atleast twiceMysql join not workingOptimizing a simple query on a large tableHow to improve query count execution with mySql replicate?MySQL query taking too longselect MAX() from MySQL view (2x INNER JOIN) is slowslow queries on indexed columns (large datasets)Why does the Select statement stalls when executed directly in sequence?












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 6 mins ago









      Prochu1991Prochu1991

      1




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






















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