我有一张表存储了人们进入某个区域的数据,他们进去的时间以及他们外出的时间,每一轮都是1人。
如果这些区域没有人,我怎样才能每5分钟写一次查询?
如上表所示:
范围10:10:00至10:15:00 =>没有客户从10:10:00到10:14:58
范围10:15:00至10:20:00 =>客户从10:15:00到10:20:00
范围10:20:00至10:25:00 =>客户从10:20:00到10:25:00
范围10:25:00至10:30:00 =>没有客户从10:26:33到10:30:00
范围10:30:00至10:35:00 =>从10:30:33到10:33:42没有客户
很难做出明智的查询
答案 0 :(得分:1)
以下查询将返回当该区域中没有人时的所有时间范围:
select vo.timegoout as empty_start, min(vi.startentry) as empty_end
from visits vo -- leave area (visit out)
join visits vi -- enter area (visit in)
on vi.startentry > vo.timegoout
where not exists (
select *
from visits v
where v.timegoout > vo.timegoout
and v.startentry <= vo.timegoout
)
group by vo.timegoout
union all
select '00:00:00', (select min(startentry) from visits)
union all
select (select max(timegoout) from visits), '23:59:59'
order by empty_start
这个想法是:
当有人离开该区域时,该区域为空(vo.timegoout as empty_start
),此时区域内没有其他人(not exists (...)
)。该区域为空,直到有人输入(min(vi.startentry) as empty_end
)。另外,该区域在00:00:00
之前为空,直到第一位访问者进入该区域为止union all select '00:00:00', (select min(startentry) from visits)
。在最后一位访问者离开之后它也是空的,直到23:59:59
(union all select (select max(timegoout) from visits), '23:59:59'
)
给出以下样本数据
| startentry | timegoout |
| 10:00:00 | 10:01:00 |
| 10:10:10 | 10:11:11 |
| 10:12:12 | 10:13:13 |
| 12:33:33 | 12:55:55 |
| 12:34:56 | 12:44:44 |
| 14:31:00 | 14:33:00 |
| 14:32:00 | 14:34:00 |
| 16:00:00 | 16:10:00 |
我们会得到这个结果:
| empty_start | empty_end |
| 00:00:00 | 10:00:00 |
| 10:01:00 | 10:10:10 |
| 10:11:11 | 10:12:12 |
| 10:13:13 | 12:33:33 |
| 12:55:55 | 14:31:00 |
| 14:34:00 | 16:00:00 |
| 16:10:00 | 23:59:59 |
如果您想精确到一秒钟,查询需要进行一些修改:
select addtime(vo.timegoout, '00:00:01') as empty_start,
subtime(min(vi.startentry), '00:00:01') as empty_end
from visits vo -- leave area (visit out)
join visits vi -- enter area (visit in)
on vi.startentry > vo.timegoout
where not exists (
select *
from visits v
where v.timegoout > vo.timegoout
and v.startentry <= vo.timegoout
)
group by vo.timegoout
union all
select '00:00:00' as empty_start, (select subtime(min(startentry), '00:00:01') from visits) as empty_end from (select 1) dummy
having empty_start <= empty_end
union all
select (select addtime(max(timegoout), '00:00:01') from visits) as empty_start, '23:59:59' as empty_end from (select 1) dummy
having empty_start <= empty_end
order by empty_start
结果:
| empty_start | empty_end |
| 00:00:00 | 09:59:59 |
| 10:01:01 | 10:10:09 |
| 10:11:12 | 10:12:11 |
| 10:13:14 | 12:33:32 |
| 12:55:56 | 14:30:59 |
| 14:34:01 | 15:59:59 |
| 16:10:01 | 23:59:59 |
要处理5分钟范围,您应该创建一个包含所有范围的halper表:
drop table if exists tmp_sequence;
create table tmp_sequence (seq mediumint unsigned null);
insert into tmp_sequence(seq)
values (null),(null),(null),(null),(null),(null),(null),(null),(null),(null);
insert into tmp_sequence(seq) select seq from tmp_sequence;
insert into tmp_sequence(seq) select seq from tmp_sequence;
insert into tmp_sequence(seq) select seq from tmp_sequence;
insert into tmp_sequence(seq) select seq from tmp_sequence;
insert into tmp_sequence(seq) select seq from tmp_sequence;
ALTER TABLE `tmp_sequence`
CHANGE COLUMN `seq` `seq` MEDIUMINT(8) UNSIGNED NOT NULL AUTO_INCREMENT FIRST,
ADD PRIMARY KEY (`seq`);
drop table if exists helper_5_minutes_ranges;
create table helper_5_minutes_ranges(
range_start time,
range_end time,
primary key (range_start, range_end)
);
insert into helper_5_minutes_ranges (range_start, range_end)
select sec_to_time((seq-1)*5*60) as range_start, sec_to_time((seq)*5*60-1) as range_end
from tmp_sequence ts
where ts.seq <= 288
;
drop table if exists tmp_sequence;
helper_5_minutes_ranges
表中的数据:
| range_start | range_end |
| 00:00:00 | 00:04:59 |
| 00:05:00 | 00:09:59 |
...
| 23:50:00 | 23:54:59 |
| 23:55:00 | 23:59:59 |
现在您可以查询以下内容:当没有人进入该区域时,选择所有5分钟范围
select r.*
from helper_5_minutes_ranges r
left join visits v
on v.startentry <= r.range_end
and v.timegoout >= r.range_start
where v.startentry is null
结果:
| range_start | range_end |
| 00:00:00 | 00:04:59 |
...
| 10:05:00 | 10:09:59 |
| 10:15:00 | 10:19:59 |
...
| 12:25:00 | 12:29:59 |
| 13:00:00 | 13:04:59 |
...
| 14:25:00 | 14:29:59 |
| 14:35:00 | 14:39:59 |
...
| 15:55:00 | 15:59:59 |
| 16:15:00 | 16:19:59 |
...
| 23:55:00 | 23:59:59 |
当某人进入该区域时,选择所有5分钟范围
select r.*
from helper_5_minutes_ranges r
join visits v
on v.startentry <= r.range_end
and v.timegoout >= r.range_start
最后这个怪物会返回类似你预期结果的东西:
select r.*, 'visited' as type,
greatest(v.startentry, r.range_start) as vr_start,
least(v.timegoout, r.range_end) as vr_end
from helper_5_minutes_ranges r
join visits v
on v.startentry <= r.range_end
and v.timegoout >= r.range_start
union all
select mr.*, 'empty' as type,
greatest(er.empty_start, mr.range_start) as vr_start,
least(er.empty_end, mr.range_end) as vr_end
from (
select addtime(vo.timegoout, '00:00:01') as empty_start,
subtime(min(vi.startentry), '00:00:01') as empty_end
from visits vo -- leave area (visit out)
join visits vi -- enter area (visit in)
on vi.startentry > vo.timegoout
where not exists (
select *
from visits v
where v.timegoout > vo.timegoout
and v.startentry <= vo.timegoout
)
group by vo.timegoout
union all
select '00:00:00' as empty_start, (select subtime(min(startentry), '00:00:01') from visits) as empty_end from (select 1) dummy
having empty_start <= empty_end
union all
select (select addtime(max(timegoout), '00:00:01') from visits) as empty_start, '23:59:59' as empty_end from (select 1) dummy
having empty_start <= empty_end
) er
join helper_5_minutes_ranges mr
on mr.range_start <= er.empty_end
and mr.range_end >= er.empty_start
order by range_start, vr_start
结果:
| range_start | range_end | type | vr_start | vr_end |
...
| 09:55:00 | 09:59:59 | empty | 09:55:00.000000 | 09:59:59.000000 |
| 10:00:00 | 10:04:59 | visited | 10:00:00.000000 | 10:01:00.000000 |
| 10:00:00 | 10:04:59 | empty | 10:01:01.000000 | 10:04:59.000000 |
| 10:05:00 | 10:09:59 | empty | 10:05:00.000000 | 10:09:59.000000 |
| 10:10:00 | 10:14:59 | empty | 10:10:00.000000 | 10:10:09.000000 |
| 10:10:00 | 10:14:59 | visited | 10:10:10.000000 | 10:11:11.000000 |
| 10:10:00 | 10:14:59 | empty | 10:11:12.000000 | 10:12:11.000000 |
| 10:10:00 | 10:14:59 | visited | 10:12:12.000000 | 10:13:13.000000 |
| 10:10:00 | 10:14:59 | empty | 10:13:14.000000 | 10:14:59.000000 |
...