每周出勤总结一次
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问候所有， 我想知道我是否能获得一些关于获得考勤数据的最佳方式的见解。 我需要在一天内获得所有可行的（AttendanceTypeID = 1）和out（AttendanceTypeID = 2）对。从周日开始到周六结束，按周计算每位员工的时间值。进入外部的壁橱是所需要的业务规则，并且在一天内可能有许多进/出对。我也使用SQL 2008逻辑，因为我们的一些客户仍在使用SQL 2008.我已经看到了一个使用CTE的视图示例，我更喜欢，但他们使用了从2012年开始的lead，lag，LastVal，NestVal函数。 输出。
https://forums.asp.net/t/1946217.aspx?Time+Attendance+working+hours https://www.red-gate.com/simple-talk/sql/t-sql-programming/solving-complex-t-sql-problems,-step-by-step/
CREATE TABLE tblAttendance
(
[AttendanceID] int,
[DepartmentID] int,
[EmployeeID] int,
[AttendanceDate] datetime,
[AttendanceTime] varchar(8),
[AttendanceTypeID] int,
[AttendanceCodeID] int,
[Submitted] int
);
INSERT INTO tblAttendance
([AttendanceID], [DepartmentID], [EmployeeID], [AttendanceDate],
[AttendanceTime], [AttendanceTypeID], [AttendanceCodeID], [Submitted])
VALUES
(838, 33, 260, '2018-02-26 00:00:00', '8:00:00', 1, 1, 0),
(839, 33, 260, '2018-02-26 00:00:00', '22:00:00', 2, 1, 0),
(836, 41, 344, '2018-02-26 00:00:00', '9:00:00', 1, 1, 0),
(837, 41, 344, '2018-02-26 00:00:00', '22:00:00', 2, 1, 0),
(812, 33, 348, '2018-02-26 00:00:00', '8:00:00', 1, 1, 0),
(813, 33, 348, '2018-02-26 00:00:00', '12:00:00', 2, 1, 0),
(814, 33, 350, '2018-02-26 00:00:00', '8:00:00', 1, 1, 0),
(815, 33, 350, '2018-02-26 00:00:00', '12:00:00', 2, 1, 0),
(930, 7, 361, '2018-02-26 00:00:00', '7:00:00', 1, 1, 0),
(931, 7, 361, '2018-02-26 00:00:00', '9:00:00', 2, 1, 0),
(940, 19, 361, '2018-02-26 00:00:00', '8:55:00', 1, 1, 0),
(941, 19, 361, '2018-02-26 00:00:00', '10:00:00', 2, 1, 0),
(824, 1, 114, '2018-02-27 00:00:00', '23:59:57', 2, 1, 0),
(816, 33, 206, '2018-02-27 00:00:00', '11:12:00', 1, 1, 0),
(819, 33, 206, '2018-02-27 00:00:00', '11:16:00', 2, 1, 0),
(822, 1, 350, '2018-02-27 00:00:00', '0:00:00', 1, 1, 0),
(829, 33, 350, '2018-02-27 00:00:00', '16:15:30', 1, 1, 0),
(830, 33, 359, '2018-02-27 00:00:00', '16:15:30', 1, 1, 0),
(932, 7, 361, '2018-02-27 00:00:00', '7:00:00', 1, 1, 0),
(933, 7, 361, '2018-02-27 00:00:00', '9:00:00', 2, 1, 0),
(942, 19, 361, '2018-02-27 00:00:00', '8:30:00', 1, 1, 0),
(943, 19, 361, '2018-02-27 00:00:00', '10:30:00', 2, 1, 0),
(835, 33, 206, '2018-02-28 00:00:00', '9:23:00', 1, 1, 0),
(934, 7, 361, '2018-02-28 00:00:00', '7:00:00', 1, 1, 0),
(935, 7, 361, '2018-02-28 00:00:00', '9:00:00', 2, 1, 0),
(944, 19, 361, '2018-02-28 00:00:00', '7:00:00', 1, 1, 0),
(945, 19, 361, '2018-02-28 00:00:00', '9:00:00', 2, 1, 0),
(936, 7, 361, '2018-03-01 00:00:00', '7:00:00', 1, 1, 0),
(937, 7, 361, '2018-03-01 00:00:00', '9:00:00', 2, 1, 0),
(946, 19, 361, '2018-03-01 00:00:00', '9:00:00', 1, 1, 0),
(947, 19, 361, '2018-03-01 00:00:00', '9:30:00', 2, 1, 0),
(840, 33, 350, '2018-03-02 00:00:00', '8:21:00', 1, 1, 0),
(841, 33, 350, '2018-03-02 00:00:00', '8:22:00', 2, 1, 0),
(938, 7, 361, '2018-03-02 00:00:00', '7:00:00', 1, 1, 0),
(939, 7, 361, '2018-03-02 00:00:00', '9:00:00', 2, 1, 0),
(948, 19, 361, '2018-03-02 00:00:00', '9:01:00', 1, 1, 0),
(949, 19, 361, '2018-03-02 00:00:00', '10:00:00', 2, 1, 0),
(894, 33, 260, '2018-03-05 00:00:00', '6:00:00', 1, 1, 0),
(895, 33, 260, '2018-03-05 00:00:00', '7:00:00', 2, 1, 0),
(859, 33, 348, '2018-03-05 00:00:00', '9:30:00', 1, 1, 0),
(860, 33, 348, '2018-03-05 00:00:00', '9:30:00', 1, 1, 0),
(842, 33, 206, '2018-03-06 00:00:00', '13:21:00', 1, 1, 0),
(856, 33, 206, '2018-03-06 00:00:00', '2:51:27', 2, 1, 0),
(848, 33, 206, '2018-03-06 00:00:00', '13:57:00', 2, 1, 0),
(843, 33, 260, '2018-03-06 00:00:00', '14:00:00', 1, 1, 0),
(861, 33, 348, '2018-03-06 00:00:00', '9:30:00', 1, 1, 0),
(862, 33, 348, '2018-03-06 00:00:00', '9:31:00', 1, 1, 0),
(853, 33, 350, '2018-03-06 00:00:00', '2:32:36', 1, 1, 0),
(854, 33, 350, '2018-03-06 00:00:00', '2:48:54', 1, 1, 0),
(855, 33, 350, '2018-03-06 00:00:00', '2:49:11', 1, 1, 0),
(857, 33, 350, '2018-03-06 00:00:00', '2:52:19', 1, 1, 0),
(844, 33, 350, '2018-03-06 00:00:00', '13:32:00', 1, 1, 0),
(846, 33, 350, '2018-03-06 00:00:00', '13:53:00', 1, 1, 0),
(845, 33, 350, '2018-03-06 00:00:00', '13:35:00', 2, 1, 0),
(850, 33, 350, '2018-03-06 00:00:00', '14:06:00', 2, 1, 0),
(847, 33, 359, '2018-03-06 00:00:00', '13:56:00', 1, 1, 0),
(858, 33, 359, '2018-03-06 00:00:00', '14:52:00', 1, 1, 0),
(852, 33, 359, '2018-03-06 00:00:00', '2:29:06', 2, 1, 0),
(851, 33, 359, '2018-03-06 00:00:00', '14:09:00', 2, 1, 0),
(896, 33, 260, '2018-03-07 00:00:00', '6:00:00', 1, 1, 0),
(897, 33, 260, '2018-03-07 00:00:00', '7:00:00', 2, 1, 0),
(907, 33, 348, '2018-03-07 00:00:00', '7:00:00', 1, 1, 0),
(908, 33, 348, '2018-03-07 00:00:00', '8:00:00', 2, 1, 0),
(893, 33, 350, '2018-03-07 00:00:00', '14:36:40', 1, 1, 0),
(915, 33, 350, '2018-03-07 00:00:00', '17:00:00', 2, 1, 0),
(913, 33, 359, '2018-03-07 00:00:00', '8:00:00', 1, 1, 0),
(914, 33, 359, '2018-03-07 00:00:00', '17:00:00', 2, 1, 0),
(923, 33, 348, '2018-03-08 00:00:00', '7:00:00', 1, 1, 0),
(925, 33, 348, '2018-03-08 00:00:00', '11:00:00', 1, 1, 0),
(928, 33, 348, '2018-03-08 00:00:00', '11:45:00', 1, 1, 0),
(927, 33, 348, '2018-03-08 00:00:00', '11:35:00', 2, 1, 0),
(924, 33, 348, '2018-03-08 00:00:00', '12:00:00', 2, 1, 0),
(926, 33, 348, '2018-03-08 00:00:00', '13:00:00', 2, 1, 0),
(898, 33, 350, '2018-03-08 00:00:00', '11:42:57', 1, 1, 0),
(906, 33, 206, '2018-03-09 00:00:00', '8:14:43', 1, 1, 0),
(905, 33, 260, '2018-03-09 00:00:00', '8:12:53', 1, 1, 0),
(972, 33, 348, '2018-03-09 00:00:00', '8:00:00', 1, 1, 0),
(911, 33, 350, '2018-03-09 00:00:00', '10:43:59', 1, 1, 0),
(912, 33, 350, '2018-03-09 00:00:00', '10:44:22', 1, 1, 0),
(917, 33, 350, '2018-03-09 00:00:00', '12:44:48', 1, 1, 0),
(929, 33, 350, '2018-03-09 00:00:00', '15:18:17', 1, 1, 0),
(921, 33, 350, '2018-03-09 00:00:00', '12:50:14', 2, 1, 0),
(918, 33, 359, '2018-03-09 00:00:00', '12:44:48', 1, 1, 0),
(922, 33, 359, '2018-03-09 00:00:00', '12:50:14', 2, 1, 0),
(970, 33, 350, '2018-03-11 00:00:00', '11:25:00', 1, 1, 0),
(968, 33, 260, '2018-03-12 00:00:00', '7:00:00', 1, 1, 0),
(962, 33, 348, '2018-03-12 00:00:00', '7:00:00', 1, 1, 0),
(969, 33, 348, '2018-03-12 00:00:00', '9:00:00', 2, 1, 0),
(951, 33, 350, '2018-03-12 00:00:00', '8:54:07', 1, 1, 0),
(953, 33, 350, '2018-03-12 00:00:00', '10:31:29', 1, 1, 0),
(954, 33, 350, '2018-03-12 00:00:00', '10:34:18', 1, 1, 0),
(950, 33, 350, '2018-03-12 00:00:00', '8:21:11', 2, 1, 0),
(952, 33, 350, '2018-03-12 00:00:00', '9:02:26', 2, 1, 0),
(955, 33, 359, '2018-03-12 00:00:00', '10:37:26', 1, 1, 0),
(959, 33, 206, '2018-03-13 00:00:00', '1:01:38', 1, 1, 0),
(961, 33, 206, '2018-03-13 00:00:00', '14:00:51', 1, 1, 0),
(975, 33, 295, '2018-03-13 00:00:00', '7:00:00', 1, 1, 0),
(976, 33, 295, '2018-03-13 00:00:00', '8:00:00', 2, 1, 0),
(957, 33, 350, '2018-03-13 00:00:00', '11:26:52', 1, 1, 0),
(958, 33, 359, '2018-03-13 00:00:00', '1:00:12', 1, 1, 0),
(965, 33, 359, '2018-03-13 00:00:00', '21:00:00', 1, 1, 0),
(960, 33, 359, '2018-03-13 00:00:00', '13:14:14', 2, 1, 0),
(967, 33, 359, '2018-03-13 00:00:00', '22:00:00', 2, 1, 0),
(964, 33, 350, '2018-03-14 00:00:00', '14:34:36', 2, 1, 0),
(963, 33, 359, '2018-03-14 00:00:00', '13:45:25', 1, 1, 0)
;
这是我用来返回上面数据的查询：
SELECT AttendanceID , DepartmentID , EmployeeID , AttendanceDate , AttendanceTime , AttendanceTypeID , AttendanceCodeID , Submitted
FROM tblAttendance
WHERE AttendanceDate BETWEEN @StartDate AND @EndDate
AND AttendanceTypeID IN (1,2) -- 1 = in, and 2 = out
AND AttendanceCodeID = 1
ORDER BY
AttendanceDate
,AttendanceTime
下面添加的表格显示了获得最终结果所需的步骤。首先是一个数据示例：
+------------+----------------+----------------+------------------+ | EmployeeID | AttendanceDate | AttendanceTime | AttendanceTypeID | +------------+----------------+----------------+------------------+ | 350 | 3/6/18 | 2:32:36 | 1 | | 350 | 3/6/18 | 2:48:54 | 1 | | 350 | 3/6/18 | 2:49:11 | 1 | | 350 | 3/6/18 | 2:52:19 | 1 | | 350 | 3/6/18 | 13:32:00 | 1 | | 350 | 3/6/18 | 13:53:00 | 1 | | 350 | 3/6/18 | 13:35:00 | 2 | | 350 | 3/6/18 | 14:06:00 | 2 | | 350 | 3/7/18 | 14:36:40 | 1 | | 350 | 3/7/18 | 17:00:00 | 2 | | 350 | 3/8/18 | 11:42:57 | 1 | | 350 | 3/9/18 | 10:43:59 | 1 | | 350 | 3/9/18 | 10:44:22 | 1 | | 350 | 3/9/18 | 12:44:48 | 1 | | 350 | 3/9/18 | 15:18:17 | 1 | | 350 | 3/9/18 | 12:50:14 | 2 | | 350 | 3/9/18 | 10:43:59 | 1 | | 350 | 3/9/18 | 10:44:22 | 1 | | 350 | 3/9/18 | 12:44:48 | 1 | | 350 | 3/9/18 | 15:18:17 | 1 | | 350 | 3/9/18 | 12:50:14 | 2 | +------------+----------------+----------------+------------------+
第二个将成对的匹配数据配对，并获得时差。
+------------+----------------+------------------+------------------+ | EmployeeID | AttendanceDate | AttendanceTime | Pair Total | +------------+----------------+------------------+------------------+ | 350 | 3/6/18 |13:35:00 -13:32:00| 0:03:00 | | 350 | 3/6/18 |14:06:00 -13:53:00| 0:13:00 | | 350 | 3/7/18 |17:00:00 -14:36:40| 2:23:20 | | 350 | 3/9/18 |12:44:48 -12:44:48| 0:05:26 | +------------+----------------+------------------+------------------+
第三个是该周员工的编译数据。
+------------+-------------------+----------------------+ | EmployeeID | AttendanceWeek | AttendanceTime Total | +------------+-------------------+----------------------+ | 350 | 3/4/18 to 3/10/18 | 2:44:46 | +------------+-------------------+----------------------+
Hope that this helps narrow the focus.
谢谢。
答案
首先，您需要确保星期日是开始周的默认值。
--see what day is the default start day of the week
SELECT @@DATEFIRST
--set it to Sunday if value isn't 7
SET DATEFIRST 7;
我想我通过使用CTE，几个SUM CASE语句和DATEPART函数找出了你的问题。
DECLARE @StartDate DATETIME = '2/25/2018 12:00AM';
DECLARE @EndDate DATETIME = '3/17/2018 11:59PM';
--Count number of 1's and 2's in a day
--Group by EmployeeId and AttendanceDate
WITH daily1And2 AS(
SELECT EmployeeID,
AttendanceDate,
SUM(CASE WHEN AttendanceTypeID = 1 THEN 1 ELSE 0 END) 'Num1',
SUM(CASE WHEN AttendanceTypeID = 2 THEN 1 ELSE 0 END) 'Num2'
FROM tblAttendance
WHERE AttendanceDate BETWEEN @StartDate AND @EndDate
AND AttendanceTypeID IN (1,2)
AND AttendanceCodeID = 1
GROUP BY EmployeeID,AttendanceDate)
--Find the number of pairs and group by week
SELECT EmployeeID,
DATEPART(wk,AttendanceDate)'Week', --Get Week
--Getting the lowest of the 2 numbers, because that will
--be the number of pairs, then summing for the week
SUM(CASE WHEN Num1 > Num2 THEN Num2 ELSE Num1 END) 'Num1and2Pairs'
FROM daily1And2
GROUP BY EmployeeID,DATEPART(wk,AttendanceDate)
ORDER BY EmployeeID,DATEPART(wk,AttendanceDate)
输出：
+------------+------+---------------+
| EmployeeID | Week | Num1and2Pairs |
+------------+------+---------------+
| 114 | 9 | 0 |
| 206 | 9 | 1 |
| 206 | 10 | 1 |
| 206 | 11 | 0 |
| 260 | 9 | 1 |
| 260 | 10 | 2 |
| 260 | 11 | 0 |
| 295 | 11 | 1 |
| 344 | 9 | 1 |
| 348 | 9 | 1 |
| 348 | 10 | 4 |
| 348 | 11 | 1 |
| 350 | 9 | 2 |
| 350 | 10 | 4 |
| 350 | 11 | 2 |
| 359 | 9 | 0 |
| 359 | 10 | 4 |
| 359 | 11 | 2 |
| 361 | 9 | 10 |
+------------+------+---------------+
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