timesetup
表(非标准化),此表用于过滤结果的时间条件
| time_id | period_from | period_to | session1_from | session1_to | session2_from | session2_to | session3_from | session3_to | session4_from | session4_to | session5_from | session5_to |
|---------|-------------|------------|---------------|-------------|---------------|-------------|---------------|-------------|---------------|-------------|---------------|-------------|
| 1 | 10/09/2015 | 11/09/2015 | 04:00:00 | 05:00:00 | 12:00:00 | 13:00:00 | 15:00:00 | 16:00:00 | 18:00:00 | 18:35:00 | 19:00:00 | 20:00:00 |
| 2 | 12/09/2015 | 13/09/2015 | 04:10:00 | 05:10:00 | 12:10:00 | 13:10:00 | 15:10:00 | 16:10:00 | 18:10:00 | 18:45:00 | 19:10:00 | 20:10:00 |
|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
规范化版本:
dateperiode
表格:
| period_id | date_from | date_to |
|-----------|------------|------------|
| 1 | 10/09/2015 | 11/09/2015 |
| 2 | 12/09/2015 | 13/09/2015 |
|-------------------------------------|
sessionrange
表格:
| sessionrange_id | session | session_from | session_to |
|-----------------|-----------|--------------|-------------|
| 1 | 1 | 04:00:00 | 05:00:00 |
| 2 | 2 | 12:00:00 | 13:00:00 |
| 3 | 3 | 15:00:00 | 16:00:00 |
| 4 | 4 | 18:00:00 | 18:35:00 |
| 5 | 5 | 19:00:00 | 20:00:00 |
| 6 | 1 | 04:10:00 | 05:10:00 |
| 7 | 2 | 12:10:00 | 13:10:00 |
| 8 | 3 | 15:10:00 | 16:10:00 |
| 9 | 4 | 18:10:00 | 18:45:00 |
| 10 | 5 | 19:10:00 | 20:10:00 |
|-----------------|-----------|--------------|-------------|
timsetup
表格:
| period_id | sessionrange_id |
|-----------|-----------------|
| 1 | 1 |
| 1 | 2 |
| 1 | 3 |
| 1 | 4 |
| 1 | 5 |
| 2 | 6 |
| 2 | 7 |
| 2 | 8 |
| 2 | 9 |
| 2 | 10 |
|-----------|-----------------|
checktime
表,此表包含指纹扫描程序(tapping_time
字段)的数据
|userid | tapping_time |
|--------|----------------------|
|234 | 10/09/2015 04:20:04 |
|234 | 10/09/2015 04:20:06 |
|234 | 10/09/2015 12:15:35 |
|234 | 10/09/2015 15:31:11 |
|234 | 10/09/2015 18:19:10 |
|234 | 10/09/2015 18:19:15 |
|234 | 10/09/2015 19:37:53 |
|234 | 11/09/2015 04:38:42 |
|234 | 11/09/2015 04:38:47 |
|234 | 11/09/2015 12:21:27 |
|234 | 11/09/2015 15:45:30 |
|234 | 11/09/2015 15:45:37 |
|234 | 11/09/2015 18:27:15 |
|234 | 11/09/2015 19:55:08 |
|234 | 11/09/2015 19:55:12 |
|234 | 12/09/2015 04:45:10 |
|234 | 12/09/2015 04:45:13 |
|234 | 12/09/2015 13:12:55 |
|234 | 12/09/2015 16:35:08 |
|234 | 12/09/2015 18:49:10 |
|234 | 12/09/2015 20:20:57 |
|234 | 13/09/2015 05:11:56 |
|234 | 13/09/2015 05:12:05 |
|234 | 13/09/2015 12:45:13 |
|234 | 13/09/2015 15:47:25 |
|234 | 13/09/2015 18:31:27 |
|234 | 13/09/2015 18:31:30 |
|234 | 13/09/2015 20:01:18 |
|-------------------------------|
我尝试创建一个Access查询,将日期/时间分组到timesetup
表中的句点。 tapping_time
基于timesetup
表中的会话条件,每个会话应该只有一个结果(即使用户一次点击多次)。此外,用户点击会话外会话(session_from
和session_to
之间的时间)字段从不计算或显示在结果表中。
期望的结果:
| userid | date | tapping_on | session |
|--------|------------|------------|---------|
| 234 | 10/09/2015 | 04:20:04 | 1 |
| 234 | 10/09/2015 | 12:15:35 | 2 |
| 234 | 10/09/2015 | 15:31:11 | 3 |
| 234 | 10/09/2015 | 18:19:10 | 4 |
| 234 | 10/09/2015 | 19:37:53 | 5 |
| 234 | 11/09/2015 | 04:38:42 | 1 |
| 234 | 11/09/2015 | 12:21:27 | 2 |
| 234 | 11/09/2015 | 15:45:30 | 3 |
| 234 | 11/09/2015 | 18:27:15 | 4 |
| 234 | 11/09/2015 | 19:55:08 | 5 |
| 234 | 12/09/2015 | 04:45:10 | 1 |
| 234 | 12/09/2015 | 16:35:08 | 3 |
| 234 | 12/09/2015 | 18:49:10 | 4 |
| 234 | 13/09/2015 | 12:45:13 | 2 |
| 234 | 13/09/2015 | 15:47:25 | 3 |
| 234 | 13/09/2015 | 18:31:27 | 4 |
| 234 | 13/09/2015 | 20:01:18 | 5 |
|--------------------------------------------|
答案 0 :(得分:0)
你可能在规范化方面有点过分,因为dateperiode和sessionrange之间的关系看起来像是一对多的关系,因此不需要联结表。
通过以下数据,我相信以下查询应该可以正常运行,但不幸的是,我没有在准备好的情况下进行不错的测试设置:
SELECT userid, tDatepart As [date], Min(t.tapping_time) As tapping_on, session FROM
(
SELECT session_from, session_to, date_from, date_to, session
FROM timsetup i
INNER JOIN dateperiode d ON i.period_id = d.period_id
INNER JOIN sessionrange q ON t.sessionrange_id = q.sessionrange_id
) As s
INNER JOIN
(SELECT Int(tapping_time) As tDatepart, CDate(tapping_time - Int(tapping_time)) As tTimepart, userid, tapping_time
FROM checktime) t
ON (t.tDatePart >= s.date_from AND t.tDatePart <= s.date_to AND t.tTimePart >= s.session_from AND t.tTimePart <= s.session_to)
GROUP BY userid, tDatepart, session