本文主要记录下平时工作中考勤统计中的SQL脚本，以便于后续翻阅，同时和大家分享一下，不足的地方还请大牛多多给与点评。
1.首先是查询某员工的考勤记录。可以根据年份，月份，或者时间段查询结果，同时也可以去掉人员筛选条件，查询多个人的考勤结果。以及计算出该员工的打卡是否正常。SQL语句如下所示：
SELECT 员工号,卡号,姓名,日期,
'打卡记录' AS 考勤类型,
Substring(日期, 1, 4) AS 年份,
Substring(日期, 6, 2) AS 月份,
Datename(weekday, 日期) AS 工作日类型,
Min(打卡时间) AS 上班打卡时间,
Max(打卡时间) AS 下班打卡时间,
CASE
WHEN Datename(weekday, 日期) <> '星期六'
AND Datename(weekday, 日期) <> '星期日' THEN( CASE
WHEN Min(打卡时间) = Max(打卡时间) THEN'上班或下班忘打卡'
WHEN Min(打卡时间) > '08:00:00' THEN '迟到'
WHEN Max(打卡时间) < '17:00:00' THEN '早退'
ELSE '正常'
END )
ELSE '非工作日打卡'
END AS 状态
FROM (SELECT a.[emp_id] 员工号,
a.[card_id] 卡号,
b.[emp_fname] 姓名,
CONVERT(CHAR(10), sign_time, 120) 日期,
CONVERT(VARCHAR, sign_time, 108) 打卡时间,
[sign_time]
FROM [dbo].[TimeRecords] a
LEFT JOIN [dbo].[Employee] b
ON a.emp_id = b.emp_id
AND a.[card_id] = b.[card_id]
WHERE a.emp_id IS NOT NULL
AND a.emp_id <> ''
AND CONVERT(CHAR(10), sign_time, 120) BETWEEN '2018-09-01' AND '2018-10-30'
AND b.[emp_fname] = '姓名') AS mm
GROUP BY mm.员工号,
卡号,
姓名,
mm.日期
ORDER BY 员工号,
日期 ASC
查询结构如下所示：
2.根据部门，员工姓名、日期查询员工的打卡记录：
SELECT a.emp_fname,
b.depart_name,
CONVERT(CHAR(10), sign_time, 120) date,
Min(c.sign_time) AS BeginTime,
Max(c.sign_time) AS EndTime
Datediff(minute, Min(c.sign_time), Max(c.sign_time)) AS minute,
FROM Employee a
LEFT JOIN Departs b
ON a.depart_id = b.depart_id
LEFT JOIN TimeRecords c
ON a.emp_id = c.emp_id
WHERE Substring(a.depart_id, 1, 3) = '041'
AND CONVERT(CHAR(10), sign_time, 120) BETWEEN '2018-11-01' AND '2018-11-30'
AND a.emp_id IS NOT NULL
GROUP BY depart_name,
emp_fname,
CONVERT(CHAR(10), sign_time, 120)
ORDER BY depart_name,
emp_fname,
CONVERT(CHAR(10), sign_time, 120) ASC查询结果如下所示：
3.统计某一时间段内的员工的上下班打卡次数，以及迟到或早退30分钟以内的和30分钟以上的数据。
SELECT a.emp_fname,
b.depart_name,
CONVERT(CHAR(10), sign_time, 120) date,
Min(c.sign_time) AS BeginTime,
Max(c.sign_time) AS EndTime
Datediff(minute, Min(c.sign_time), Max(c.sign_time)) AS minute,
FROM Employee a
LEFT JOIN Departs b
ON a.depart_id = b.depart_id
LEFT JOIN TimeRecords c
ON a.emp_id = c.emp_id
WHERE Substring(a.depart_id, 1, 3) = '041'
AND CONVERT(CHAR(10), sign_time, 120) BETWEEN '2018-11-01' AND '2018-11-30'
AND a.emp_id IS NOT NULL
GROUP BY depart_name,
emp_fname,
CONVERT(CHAR(10), sign_time, 120)
ORDER BY depart_name,
emp_fname,
CONVERT(CHAR(10), sign_time, 120) ASC
SELECT b.emp_fname,
b.depart_name,
Sum(CASE
WHEN ms = 0
AND CONVERT(CHAR(10), EndTime, 23) < '12:00:00' THEN 1
ELSE 0
END) AS 上班未打卡,
Sum(CASE
WHEN ms = 0
AND CONVERT(CHAR(10), EndTime, 23) > '12:00:00' THEN 1
ELSE 0
END) AS 下班未打卡,
Sum(CASE
WHEN 540 - ms BETWEEN 0 AND 30 THEN 1
ELSE 0
END) AS 迟到或早退30分钟以内,
Sum(CASE
WHEN 540 - ms > 30 THEN 1
ELSE 0
END) AS 迟到或早退30分钟以上
FROM (SELECT TOP 100 PERCENT a.emp_fname,
b.depart_name,
Min(c.sign_time) AS BeginTime,
Max(c.sign_time) AS EndTime,
Datediff(minute, Min(c.sign_time), Max(c.sign_time)) AS ms
FROM Employee a
LEFT JOIN Departs b
ON a.depart_id = b.depart_id
LEFT JOIN TimeRecords c
ON a.emp_id = c.emp_id
WHERE Substring(a.depart_id, 1, 3) = '041'
AND CONVERT(CHAR(10), sign_time, 120) BETWEEN '2018-11-01' AND '2018-11-30'
AND a.emp_id IS NOT NULL
GROUP BY depart_name,
emp_fname,
CONVERT(CHAR(10), sign_time, 120)
ORDER BY depart_name,
emp_fname,
CONVERT(CHAR(10), sign_time, 120) ASC) AS b
GROUP BY emp_fname,
depart_name
ORDER BY depart_name,
emp_fname 查询结果如下：
4.统计各种假期的请假时长 ：
/****** Script for SelectTopNRows command from SSMS ******/
SELECT applyUser,
ApplyDept,
Sum(CASE
WHEN leavetype = '事假' THEN leaveHours
ELSE 0
END) AS 事假,
Sum(CASE
WHEN leavetype = '病假' THEN leaveHours
ELSE 0
END) AS 病假,
Sum(CASE
WHEN leavetype = '产检假' THEN leaveHours
ELSE 0
END) AS 产前病事假,
Sum(CASE
WHEN leavetype = '产假'
OR LeaveType = '陪产假' THEN leaveHours
ELSE 0
END) AS 产假或护理假,
Sum(CASE
WHEN leavetype = '婚假' THEN leaveHours
ELSE 0
END) AS 婚假,
Sum(CASE
WHEN leavetype = '丧假' THEN leaveHours
ELSE 0
END) AS 丧假,
Sum(CASE
WHEN leavetype = '年休假' THEN leaveHours
ELSE 0
END) AS 年假,
Sum(CASE
WHEN leavetype = '公假' THEN leaveHours
ELSE 0
END) AS 公假,
Sum(CASE
WHEN leavetype = '其他' THEN leaveHours
ELSE 0
END) AS 其他,
Sum(CASE
WHEN leavetype = '调休' THEN leaveHours
ELSE 0
END) AS 调休,
Sum(CASE
WHEN leavetype = '工伤假' THEN leaveHours
ELSE 0
END) AS 工伤假
FROM HR_Leave
WHERE CompanyId = 16
AND Node = 2
AND CONVERT(CHAR(10), Start, 120) BETWEEN '2018-09-01' AND '2018-12-30'
GROUP BY ApplyDept,
ApplyUserId,
ApplyUser
SQL执行结果如下所示：
5.根据加班类型，统计各种加班类型的加班时长：
/****** Script for SelectTopNRows command from SSMS ******/
SELECT [ApplyUser],
[ApplyDept],
Sum(CASE
WHEN [OtType] = '平时延长' THEN Duration
ELSE 0
END) AS 平时延长,
Sum(CASE
WHEN [OtType] = '休息日' THEN Duration
ELSE 0
END) AS 休息日,
Sum(CASE
WHEN [OtType] = '法定节假日' THEN Duration
ELSE 0
END) AS 法定节假日
FROM HR_Overtime
WHERE CompanyId = 16
AND Node = 2
AND CONVERT(CHAR(10), CreateDateTime, 120) BETWEEN '2018-09-01' AND '2018-12-30'
GROUP BY [ApplyDept],
ApplyUserId,
[ApplyUser]
查询结果如下所示：
后续持续更新包含请假、加班、出差等相关联的综合查询。注：请假、出差、加班等流程在其他数据库中，几者关联查询不太想用DBLink，所以只有单独查询出来，在代码中用Linq做关联查询，关于跨数据库的关联查询，如果哪位老师有好的建议，欢迎留言。谢谢！