按周分组数据

e1xvtsh3  于 2021-07-24  发布在  Java
关注(0)|答案(3)|浏览(377)

我正在寻找一种方法,将下面的emp\u出席行分组为星期一到星期日。
我在网上看到了一些关于“iw”格式的东西,但我认为这不允许我分组,也许我做错了什么。此外,诸如12312020星期四和01012021星期五这样的日期应该分组在一起,因为它们介于星期一和星期天之间,但它们是不同的年份。
我当前的代码是对所有数据求和并产生以下输出

select   e.employee_id, 
               e.first_name,    
               e.last_name,

        trunc(sum(a.end_date - a.start_date) * 24) hours,

       trunc(mod(sum(a.end_date - a.start_date) * 24 * 60,60)) minutes,

        round(mod(sum(a.end_date - a.start_date) * 24 * 60 * 60,60)) seconds

 from    employees e,       emp_attendance a

   where a.employee_id = e.employee_id 

  group by e.employee_id, 
           e.first_name, e.last_name

 order by e.employee_id, 
                  e.first_name,   
                e.last_name;

EMPLOYEE_ID    FIRST_NAME    
LAST_NAME    HOURS    
MINUTES    SECONDS
  1    John    Doe    128    51    19

我正在寻找这个输出。注意:对于组中的每一行,我都需要相同的组id和组的开始日期(星期一)和结束日期(星期天),以便在需要时可以追溯数据的来源。
如果没有员工的emp\U出勤记录,请不要添加空行。在我的例子中,虽然员工2和3存在,但他们应该没有输出。
感谢所有的回答

GROUP_ID  
EMPLOYEE_ID    FIRST_NAME    
LAST_NAME    HOURS    MINUTES    SECONDS.    
START_DATE END_DATE 
 1 1    John    Doe    46    0    58 07202020 07262020
2 1    John    Doe    73    37    14 07272020 08022020 
3 1    John    Doe  9    13    7 08032020 08082020

ALTER SESSION SET NLS_DATE_FORMAT = 'MMDDYYYY HH24:MI:SS';

  Create table employees(
  employee_id Number(6),
  first_name VARCHAR2(20),
  last_name VARCHAR2(20),
  hourly_rate NUMBER
 );

  INSERT INTO employees(
   employee_id,
   first_name,
   last_name,
   hourly_rate)
  VALUES 
  (1, 'John', 'Doe', 55.05);

  INSERT INTO employees(
   employee_id,
   first_name,
   last_name,
   hourly_rate)
  VALUES 
  (2, 'Jane', 'Smith', 45.50);

  INSERT INTO employees(
   employee_id,
   first_name,
   last_name,
   hourly_rate)
  VALUES 
  (3, 'Mike', 'Jones', 25.00);

  create table emp_attendance(
    employee_id NUMBER(6),
    start_date DATE,
   end_date DATE
   );

INSERT INTO emp_attendance(
  employee_id,
  start_date,
  end_date)
  VALUES 
  (1,
  TO_DATE('08032020 12:12:12', 'MMDDYYYY HH24:MI:SS'),

 TO_DATE('08032020 21:25:19', 'MMDDYYYY HH24:MI:SS'));

  INSERT INTO emp_attendance(
  employee_id,
  start_date,
  end_date)
  VALUES 
  (1,
  TO_DATE('08022020 12:12:12', 'MMDDYYYY HH24:MI:SS'),

 TO_DATE('08032020 19:25:19', 'MMDDYYYY HH24:MI:SS'));

  INSERT INTO emp_attendance(
  employee_id,
  start_date,
  end_date)
  VALUES 
  (1,
  TO_DATE('07212020 07:22:22', 'MMDDYYYY HH24:MI:SS'),

 TO_DATE('07212020 14:49:13', 'MMDDYYYY HH24:MI:SS'));

  INSERT INTO emp_attendance(
  employee_id,
  start_date,
  end_date)
  VALUES 
  (1,
  TO_DATE('07222020 08:08:43', 'MMDDYYYY HH24:MI:SS'),

 TO_DATE('07222020 16:15:55', 'MMDDYYYY HH24:MI:SS'));

  INSERT INTO emp_attendance(
  employee_id,
  start_date,
  end_date)
  VALUES 
  (1,
  TO_DATE('07232020 08:18:17', 'MMDDYYYY HH24:MI:SS'),

  TO_DATE('07232020 15:58:16', 'MMDDYYYY HH24:MI:SS'));

  INSERT INTO emp_attendance(
  employee_id,
  start_date,
  end_date)
  VALUES 
  (1,
  TO_DATE('07242020 10:50:15', 'MMDDYYYY HH24:MI:SS'),

  TO_DATE('07242020 18:21:41', 'MMDDYYYY HH24:MI:SS'));

  INSERT INTO emp_attendance(
 employee_id,
 start_date,
 end_date)
VALUES 
   (1,
 TO_DATE('07252020 18:06:11', 'MMDDYYYY HH24:MI:SS'),

  TO_DATE('07262020 01:34:37', 'MMDDYYYY HH24:MI:SS'));

  INSERT INTO emp_attendance(
  employee_id,
  start_date,
  end_date)
  VALUES 
  (1,
  TO_DATE('07262020 10:57:07', 'MMDDYYYY HH24:MI:SS'),

  TO_DATE('07262020 18:44:11', 'MMDDYYYY HH24:MI:SS'));

  INSERT INTO emp_attendance(
  employee_id,
  start_date,
  end_date)
  VALUES 
  (1,
  TO_DATE('07272020 09:35:44', 'MMDDYYYY HH24:MI:SS'),

  TO_DATE('07272020 16:14:13', 'MMDDYYYY HH24:MI:SS'));

  INSERT INTO emp_attendance(
  employee_id,
  start_date,
  end_date)
  VALUES 
  (1,
  TO_DATE('07282020 07:08:31', 'MMDDYYYY HH24:MI:SS'),

  TO_DATE('07282020 17:17:12', 'MMDDYYYY HH24:MI:SS'));

  INSERT INTO emp_attendance(
  employee_id,
  start_date,
  end_date)
  VALUES 
  (1,
  TO_DATE('07292020 05:38:27', 'MMDDYYYY HH24:MI:SS'),

  TO_DATE('07292020 13:06:49', 'MMDDYYYY HH24:MI:SS'));

  INSERT INTO emp_attendance(
  employee_id,
  start_date,
  end_date)
  VALUES 
  (1,
  TO_DATE('07302020 08:11:51', 'MMDDYYYY HH24:MI:SS'),

  TO_DATE('07302020 18:29:40', 'MMDDYYYY HH24:MI:SS'));

  INSERT INTO emp_attendance(
  employee_id,
  start_date,
  end_date)
  VALUES 
  (1,
  TO_DATE('07312020 18:01:51', 'MMDDYYYY HH24:MI:SS'),

  TO_DATE('08012020 01:52:37', 'MMDDYYYY HH24:MI:SS'));
hkmswyz6

hkmswyz61#

在上面的数据库结构中,您可以使用emp\u attention表中的start\u date列来计算当前周数,然后根据它进行分组。
可以将附加参数与round函数round(column\u name,round\u num)一起使用,将负值与第二个参数一起使用
-1表示10的整数
-2表示整数到100
-3表示整数到1000
等等。。。
查询应类似于以下内容:

select to_char(a.start_date, 'WW') weekNumber, e.employee_id, e.first_name,  e.last_name, 
 trunc(sum(a.end_date - a.start_date) * 24) hours, 
trunc(mod(sum(a.end_date - a.start_date) * 24 * 60,60)) minutes,          
round(mod(sum(a.end_date - a.start_date) * 24 * 60,60), -1) rounded_minutes,   
round(mod(sum(a.end_date - a.start_date) * 24 * 60 * 60,60)) seconds 
from employees e, emp_attendance a 
where a.employee_id = e.employee_id
group by e.employee_id, e.first_name, e.last_name ,to_char(a.start_date, 'WW')
-- order by first column = weekNumber then by other columns
order by 1, e.employee_id, e.first_name,  e.last_name;
w51jfk4q

w51jfk4q2#

有很多帖子都有类似的主题,所以我会边走边链接->
这篇文章可以帮助你按周分组数据,按周分组计算oraclesql-sum和分组数据
然后可以使用mysql round()函数将参数设置为舍入到最接近10的位置。在此处找到文档https://docs.oracle.com/cd/b19306_01/server.102/b14200/functions135.htm

klsxnrf1

klsxnrf13#

你可以在星期一和 trunc() 函数和“iw”元素;然后按此字段和其他字段分组:

select e.employee_id,
  e.first_name,
  e.last_name,
  trunc(a.start_date, 'IW') as week,
  trunc(sum(a.end_date - a.start_date) * 24) hours,
  trunc(mod(sum(a.end_date - a.start_date) * 24 * 60,60)) minutes,
  round(mod(sum(a.end_date - a.start_date) * 24 * 60 * 60,60)) seconds
from employees e
join emp_attendance a on a.employee_id = e.employee_id
group by e.employee_id, e.first_name, e.last_name, trunc(a.start_date, 'IW')
order by e.employee_id, e.first_name, e.last_name, trunc(a.start_date, 'IW');
EMPLOYEE_ID | FIRST_NAME | LAST_NAME | WEEK              | HOURS | MINUTES | SECONDS
----------: | :--------- | :-------- | :---------------- | ----: | ------: | ------:
          1 | John       | Doe       | 07202020 00:00:00 |    46 |       0 |      58
          1 | John       | Doe       | 07272020 00:00:00 |    73 |      37 |      14
          1 | John       | Doe       | 08032020 00:00:00 |     9 |      13 |       7

要获得所需的输出,可以操纵截断的日期,并添加 row_number() 对于组id:

select row_number() over (order by trunc(a.start_date, 'IW')) as group_id,
  e.employee_id,
  e.first_name,
  e.last_name,
  trunc(sum(a.end_date - a.start_date) * 24) hours,
  trunc(mod(sum(a.end_date - a.start_date) * 24 * 60,60)) minutes,
  round(mod(sum(a.end_date - a.start_date) * 24 * 60 * 60,60)) seconds,
  to_char(trunc(a.start_date, 'IW'), 'MMDDYYYY') as start_date,
  to_char(trunc(a.start_date, 'IW') + 6, 'MMDDYYYY') as end_date
from employees e
join emp_attendance a on a.employee_id = e.employee_id
group by e.employee_id, e.first_name, e.last_name, trunc(a.start_date, 'IW')
order by e.employee_id, e.first_name, e.last_name;
GROUP_ID | EMPLOYEE_ID | FIRST_NAME | LAST_NAME | HOURS | MINUTES | SECONDS | START_DATE | END_DATE
-------: | ----------: | :--------- | :-------- | ----: | ------: | ------: | :--------- | :-------
       1 |           1 | John       | Doe       |    46 |       0 |      58 | 07202020   | 07262020
       3 |           1 | John       | Doe       |     9 |      13 |       7 | 08032020   | 08092020
       2 |           1 | John       | Doe       |    73 |      37 |      14 | 07272020   | 08022020

db<>摆弄当前数据;以及原始数据。

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