MySQL 5.7

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CREATE TABLE access_action (
  `ID` INTEGER AUTO_INCREMENT,
  `ACTION` VARCHAR(25),
  `TIMESTAMP` VARCHAR(21),
  `level_id` INTEGER,
  `EMPLOYEE_ID` INTEGER,
   PRIMARY KEY (ID)
);


INSERT INTO access_action (ACTION, TIMESTAMP, level_id, EMPLOYEE_ID)
VALUES
('OUT',	'2017-05-30 09:36:00',	3,	1),
('IN',	'2017-05-30 09:26:00',	1,	1),
('OUT',	'2017-05-30 08:46:00',	1,	1),
('IN',	'2017-05-30 08:36:00',	3,	1),
('OUT',	'2017-05-30 07:56:00',	2,	1),
('IN',	'2017-05-30 07:46:00',	3,	1),
('OUT',	'2017-05-30 07:06:00',	3,	1),
('IN',	'2017-05-30 06:56:00',	1,	1),
('OUT',	'2017-05-30 06:16:00',	2,	1),
('IN',	'2017-05-30 06:06:00',	1,	1),
('OUT',	'2017-05-29 08:55:00',	1,	1),
('IN',	'2017-05-29 07:55:00',	1,	1),
('OUT',	'2017-05-29 07:15:00',	1,	1),
('IN',	'2017-05-29 07:05:00',	1,	1),
('OUT',	'2017-05-29 06:25:00',	3,	1),
('IN',	'2017-05-29 06:15:00',	1,	1),

('OUT',	'2017-05-30 08:57:00',	1,	2),
('IN',	'2017-05-30 08:37:00',	3,	2),
('OUT',	'2017-05-30 07:57:00',	3,	2),
('IN',	'2017-05-30 07:47:00',	2,	2),
('OUT',	'2017-05-30 07:07:00',	3,	2),
('IN',	'2017-05-30 06:57:00',	1,	2),
('OUT',	'2017-05-30 06:17:00',	1,	2),
('IN',	'2017-05-30 06:07:00',	1,	2),
('OUT',	'2017-05-29 12:50:00',	2,	2),
('IN',	'2017-05-29 12:01:00',	1,	2),
('OUT',	'2017-05-29 11:21:00',	2,	2),
('IN',	'2017-05-29 11:11:00',	3,	2),
('OUT',	'2017-05-29 10:31:00',	3,	2),
('IN',	'2017-05-29 10:21:00',	2,	2),
('OUT',	'2017-05-29 09:41:00',	3,	2),
('IN',	'2017-05-29 09:31:00',	3,	2),

SELECT * FROM access_action 
   ORDER BY EMPLOYEE_ID,level_id, `TIMESTAMP`


ID
ACTION
TIMESTAMP
level_id
EMPLOYEE_ID


16
IN
2017-05-29 06:15:00
1
1

14
IN
2017-05-29 07:05:00
1
1

13
OUT
2017-05-29 07:15:00
1
1

12
IN
2017-05-29 07:55:00
1
1

11
OUT
2017-05-29 08:55:00
1
1

10
IN
2017-05-30 06:06:00
1
1

8
IN
2017-05-30 06:56:00
1
1

3
OUT
2017-05-30 08:46:00
1
1

2
IN
2017-05-30 09:26:00
1
1

9
OUT
2017-05-30 06:16:00
2
1

5
OUT
2017-05-30 07:56:00
2
1

15
OUT
2017-05-29 06:25:00
3
1

7
OUT
2017-05-30 07:06:00
3
1

6
IN
2017-05-30 07:46:00
3
1

4
IN
2017-05-30 08:36:00
3
1

1
OUT
2017-05-30 09:36:00
3
1

26
IN
2017-05-29 12:01:00
1
2

24
IN
2017-05-30 06:07:00
1
2

23
OUT
2017-05-30 06:17:00
1
2

22
IN
2017-05-30 06:57:00
1
2

17
OUT
2017-05-30 08:57:00
1
2

30
IN
2017-05-29 10:21:00
2
2

27
OUT
2017-05-29 11:21:00
2
2

25
OUT
2017-05-29 12:50:00
2
2

20
IN
2017-05-30 07:47:00
2
2

32
IN
2017-05-29 09:31:00
3
2

31
OUT
2017-05-29 09:41:00
3
2

29
OUT
2017-05-29 10:31:00
3
2

28
IN
2017-05-29 11:11:00
3
2

21
OUT
2017-05-30 07:07:00
3
2

19
OUT
2017-05-30 07:57:00
3
2

18
IN
2017-05-30 08:37:00
3
2

60
IN
2017-05-29 06:13:00
1
3

58
IN
2017-05-29 07:03:00
1
3

54
IN
2017-05-29 08:43:00
1
3

49
OUT
2017-05-29 10:33:00
1
3

47
OUT
2017-05-29 11:43:00
1
3

46
IN
2017-05-30 06:12:00
1
3

43
OUT
2017-05-30 07:12:00
1
3

41
OUT
2017-05-30 08:02:00
1
3

34
IN
2017-05-30 11:12:00
1
3

33
OUT
2017-05-30 11:47:00
1
3

55
OUT
2017-05-29 08:03:00
2
3

52
IN
2017-05-29 09:33:00
2
3

51
OUT
2017-05-29 09:43:00
2
3

44
IN
2017-05-30 07:02:00
2
3

39
OUT
2017-05-30 08:52:00
2
3

37
OUT
2017-05-30 09:42:00
2
3

36
IN
2017-05-30 10:22:00
2
3

59
OUT
2017-05-29 06:23:00
3
3

57
OUT
2017-05-29 07:13:00
3
3

56
IN
2017-05-29 07:53:00
3
3

53
OUT
2017-05-29 08:53:00
3
3

50
IN
2017-05-29 10:23:00
3
3

48
IN
2017-05-29 11:13:00
3
3

45
OUT
2017-05-30 06:22:00
3
3

42
IN
2017-05-30 07:52:00
3
3

40
IN
2017-05-30 08:42:00
3
3

38
IN
2017-05-30 09:32:00
3
3

35
OUT
2017-05-30 10:32:00
3
3

ID	ACTION	TIMESTAMP	level_id	EMPLOYEE_ID
16	IN	2017-05-29 06:15:00	1	1
14	IN	2017-05-29 07:05:00	1	1
13	OUT	2017-05-29 07:15:00	1	1
12	IN	2017-05-29 07:55:00	1	1
11	OUT	2017-05-29 08:55:00	1	1
10	IN	2017-05-30 06:06:00	1	1
8	IN	2017-05-30 06:56:00	1	1
3	OUT	2017-05-30 08:46:00	1	1
2	IN	2017-05-30 09:26:00	1	1
9	OUT	2017-05-30 06:16:00	2	1
5	OUT	2017-05-30 07:56:00	2	1
15	OUT	2017-05-29 06:25:00	3	1
7	OUT	2017-05-30 07:06:00	3	1
6	IN	2017-05-30 07:46:00	3	1
4	IN	2017-05-30 08:36:00	3	1
1	OUT	2017-05-30 09:36:00	3	1
26	IN	2017-05-29 12:01:00	1	2
24	IN	2017-05-30 06:07:00	1	2
23	OUT	2017-05-30 06:17:00	1	2
22	IN	2017-05-30 06:57:00	1	2
17	OUT	2017-05-30 08:57:00	1	2
30	IN	2017-05-29 10:21:00	2	2
27	OUT	2017-05-29 11:21:00	2	2
25	OUT	2017-05-29 12:50:00	2	2
20	IN	2017-05-30 07:47:00	2	2
32	IN	2017-05-29 09:31:00	3	2
31	OUT	2017-05-29 09:41:00	3	2
29	OUT	2017-05-29 10:31:00	3	2
28	IN	2017-05-29 11:11:00	3	2
21	OUT	2017-05-30 07:07:00	3	2
19	OUT	2017-05-30 07:57:00	3	2
18	IN	2017-05-30 08:37:00	3	2
60	IN	2017-05-29 06:13:00	1	3
58	IN	2017-05-29 07:03:00	1	3
54	IN	2017-05-29 08:43:00	1	3
49	OUT	2017-05-29 10:33:00	1	3
47	OUT	2017-05-29 11:43:00	1	3
46	IN	2017-05-30 06:12:00	1	3
43	OUT	2017-05-30 07:12:00	1	3
41	OUT	2017-05-30 08:02:00	1	3
34	IN	2017-05-30 11:12:00	1	3
33	OUT	2017-05-30 11:47:00	1	3
55	OUT	2017-05-29 08:03:00	2	3
52	IN	2017-05-29 09:33:00	2	3
51	OUT	2017-05-29 09:43:00	2	3
44	IN	2017-05-30 07:02:00	2	3
39	OUT	2017-05-30 08:52:00	2	3
37	OUT	2017-05-30 09:42:00	2	3
36	IN	2017-05-30 10:22:00	2	3
59	OUT	2017-05-29 06:23:00	3	3
57	OUT	2017-05-29 07:13:00	3	3
56	IN	2017-05-29 07:53:00	3	3
53	OUT	2017-05-29 08:53:00	3	3
50	IN	2017-05-29 10:23:00	3	3
48	IN	2017-05-29 11:13:00	3	3
45	OUT	2017-05-30 06:22:00	3	3
42	IN	2017-05-30 07:52:00	3	3
40	IN	2017-05-30 08:42:00	3	3
38	IN	2017-05-30 09:32:00	3	3
35	OUT	2017-05-30 10:32:00	3	3