Get users attendance entry and exit in one row SQL Server - sql

Question

I have a table with all entries for employees. I need to get all the working hours and the entry and exit time of the user in one record.
The table is like this:
How can I do that and also in case there is some missing entries or exit. Like one employee will have entry with no exit in some odd cases.

Answer 1

Assuming that the ins and outs line up (that is, are strictly interleaved), you can use lead() and some filtering:
select t.empId, convert(date, datetime) as date, datetime as timein,
next_datetime as timeout,
datediff(minute, datetime, next_datetime) / 60.0 as decimal_hours
from (select t.*,
lead(datetime) over (partition by empid order by datetime) as next_datetime
from t
) t
where entrytype = 'IN';
Note that this formats the duration as decimal hours rather than as a time. That part does not seem relevant to the actual question and just complicates the query.

Answer 2

This adds LEAD entrytype to make sure there is a corresponding OUT row. Also, it divides the date difference in minutes by 60.0 (added decimal)
select t.empId EmpID, cast(datetime as date) [Day], datetime [Timein], next_datetime [Timeout],
datediff(mi, datetime, next_datetime)/60.0 TotalHours
from (select t.*,
lead(datetime) over (partition by empid order by datetime) as next_datetime,
lead(entrytype) over (partition by empid order by datetime) as next_entrytype
from t
) t
where entrytype = 'IN'
and next_entrytype='Out';

Answer 3

Using Row_number to identify IN and OUT related to which employee:
SELECT EMPID, CAST([DATEUPDT] AS DATE) AS Date,
MAX(CASE WHEN ENTRYTYPE = 'IN' THEN CAST([DATEUPDT] AS TIME) END) AS TIMEIN,
MAX(CASE WHEN ENTRYTYPE = 'OUT' THEN CAST([DATEUPDT] AS TIME) END) AS TIMEOUT,
ABS(DATEDIFF(MINUTE, MAX(CASE WHEN ENTRYTYPE = 'OUT' THEN CAST([DATEUPDT] AS TIME) END), MAX(CASE WHEN ENTRYTYPE = 'IN' THEN CAST([DATEUPDT] AS TIME) END)))/60 AS DURATION
FROM
(
SELECT A.*,
ROW_NUMBER() OVER(PARTITION BY EMPID, [ENTRYTYPE] ORDER BY [DATEUPDT]) RN1
FROM EMPLOYEE_LOG A
) X
GROUP BY EMPID, RN1, CAST([DATEUPDT] AS DATE)
ORDER BY EMPID, RN1;

Answer 4

You can also "sessionize" in SQL Server - by using OLAP queries: With a counter that is at 1 when a new session begins and at 0 otherwise
WITH
input(id,empid,dttime,entrytype) AS (
SELECT 1,125,CAST('2020-08-13 08:10:00.000' AS DATETIME),'IN'
UNION ALL SELECT 1,157,CAST('2020-08-13 08:01:00.000' AS DATETIME),'IN'
UNION ALL SELECT 1,125,CAST('2020-08-13 15:21:00.000' AS DATETIME),'OUT'
UNION ALL SELECT 1,125,CAST('2020-08-13 15:24:00.000' AS DATETIME),'IN'
UNION ALL SELECT 1,125,CAST('2020-08-13 17:24:00.000' AS DATETIME),'OUT'
UNION ALL SELECT 1,157,CAST('2020-08-13 15:01:00.000' AS DATETIME),'OUT'
UNION ALL SELECT 1,125,CAST('2020-08-14 08:10:00.000' AS DATETIME),'IN'
UNION ALL SELECT 1,157,CAST('2020-08-14 08:01:00.000' AS DATETIME),'IN'
UNION ALL SELECT 1,125,CAST('2020-08-14 15:21:00.000' AS DATETIME),'OUT'
UNION ALL SELECT 1,125,CAST('2020-08-14 15:24:00.000' AS DATETIME),'IN'
UNION ALL SELECT 1,125,CAST('2020-08-14 17:24:00.000' AS DATETIME),'OUT'
UNION ALL SELECT 1,157,CAST('2020-08-14 15:01:00.000' AS DATETIME),'OUT'
)
,
with_session AS (
SELECT
*
, SUM(CASE entrytype WHEN 'IN' THEN 1 ELSE 0 END) OVER(
PARTITION BY empid ORDER BY dttime
) AS sessid
FROM input
)
SELECT
id
, empid
, sessid
, CAST(MAX(CASE entrytype WHEN 'IN' THEN dttime END) AS DATE) AS day
, CAST(MAX(CASE entrytype WHEN 'IN' THEN dttime END) AS TIME) AS indtm
, CAST(MAX(CASE entrytype WHEN 'OUT' THEN dttime END) AS TIME) AS outdtm
, CAST(
MAX(CASE entrytype WHEN 'OUT' THEN dttime END)
- MAX(CASE entrytype WHEN 'IN' THEN dttime END)
AS TIME
) AS totalhours
FROM with_session
GROUP BY
id
, empid
, sessid
ORDER BY
id
, 4
, empid
, sessid
;
-- out id | empid | sessid | day | indtm | outdtm | totalhours
-- out ----+-------+--------+------------+----------+----------+------------
-- out 1 | 125 | 1 | 2020-08-13 | 08:10:00 | 15:21:00 | 07:11:00
-- out 1 | 125 | 2 | 2020-08-13 | 15:24:00 | 17:24:00 | 02:00:00
-- out 1 | 157 | 1 | 2020-08-13 | 08:01:00 | 15:01:00 | 07:00:00
-- out 1 | 125 | 3 | 2020-08-14 | 08:10:00 | 15:21:00 | 07:11:00
-- out 1 | 125 | 4 | 2020-08-14 | 15:24:00 | 17:24:00 | 02:00:00
-- out 1 | 157 | 2 | 2020-08-14 | 08:01:00 | 15:01:00 | 07:00:00