我有一个包含工程师,appt_date和appt_slot的sql表。
engineer_id, visit_date, visit_slot
1, 20/10/12, All Day
1, 21/10/12, AM
2, 20/10/12, All Day
2, 21/10/12, All Day
2, 22/10/12, All Day
3, 20/10/12, PM
3, 21/10/12, All Day
3, 22/10/12, PM
我想展示的是
Engineer_id, start_visit, end_visit
1, 20/10/12 All Day, 21/10/12 AM
2, 20/10/12 All Day, 22/10/12 All Day
3, 20/10/12 PM, 21/10/12 All Day
3, 22/10/12 PM, 22/10/12 PM
我正在努力与sql一起展示预订中的休息时间,我们将非常感谢任何帮助。 感谢
答案 0 :(得分:1)
您要做的是在数据中查找序列。通常,这是几天的序列。你的情况比较困难,因为你有这些插槽,大概是半天。
解决方案的工作原理是将插槽转换为时间。我是早上6点和早上6点任意使用的。为了晚上。我使用cross join
执行此操作,因为新行是为“所有日期”约会创建的。
使用此数据结构,您可以使用SQL技巧来识别属于一起的插槽。我们的想法是按日期时间计算每个工程师的插槽。然后从日期时间中减去半天的枚举值。当值按顺序时,这是一个常量。当存在间隙时会出现新值。
最后,通过engineer_id和组ID分组以获取所需的数据。
以下查询显示了此操作。它将最终结果保留为日期时间,而不是将它们转换回插槽。
with t as (
select 1 as engineer_id, cast('2012-10-20' as date) as visit_date, 'All Day' as visit_slot union all
select 1 as engineer_id, cast('2012-10-21' as date) as visit_date, 'AM' as visit_slot union all
select 2 as engineer_id, cast('2012-10-20' as date) as visit_date, 'All Day' as visit_slot union all
select 2 as engineer_id, cast('2012-10-21' as date) as visit_date, 'All Day' as visit_slot union all
select 2 as engineer_id, cast('2012-10-22' as date) as visit_date, 'All Day' as visit_slot union all
select 3 as engineer_id, cast('2012-10-20' as date) as visit_date, 'PM' as visit_slot union all
select 3 as engineer_id, cast('2012-10-21' as date) as visit_date, 'All Day' as visit_slot union all
select 3 as engineer_id, cast('2012-10-22' as date) as visit_date, 'PM' as visit_slot
),
tslots as (
select t2.*
from (select t.engineer_id,
(CAST(visit_date as datetime) +
(case when t.visit_slot in ('All Day', const.slot) then const.hr/24.0 end)
) as visit_datetime
from t cross join
(select 'AM' as slot, 6 as hr union all select 'PM', 18) const
) t2
where visit_datetime is not null
group by engineer_id, visit_datetime
)
select engineer_id, MIN(visit_datetime) as min_datetime, MAX(visit_datetime) as max_datetime
from (select ts.*,
ROW_NUMBER() over (partition by engineer_id order by visit_datetime) as seqnum,
visit_datetime - 0.5*(ROW_NUMBER() over (partition by engineer_id order by visit_datetime)) as groupid
from tslots ts
) ts1
group by engineer_id, groupid
order by 1, 2