SQL按月、按用户、按地点计算居住天数

发布于 2024-10-04 04:16:19 字数 1621 浏览 6 评论 0原文

我正在对一个康复组织进行查询,其中租户(客户/患者)第一次到达时住在一栋大楼里,随着治疗的进展,他们搬到另一栋大楼,当他们接近治疗结束时,他们住在一栋大楼里。第三栋大楼。

出于资金目的,我们需要知道租户每个月在每栋建筑中度过了多少个夜晚。 我可以使用 DateDiff 获取总晚数,但如何获取每栋大楼每个月每个客户的总晚数?

例如,John Smith 在 A 楼 9/12-11/3;搬至 B 楼 11/3-15;搬到 C 楼并仍然在那里:11/15 - 今天

哪个查询返回的结果显示他在以下地方度过的夜晚数: A 楼于 9 月、10 月和 11 月。 11月B座 11 月 C 栋

两张桌子上有客户姓名、大楼名称以及入住日期和退房日期,

CREATE TABLE [dbo].[clients](
[ID] [nvarchar](50) NULL,
[First_Name] [nvarchar](100) NULL,
[Last_Name] [nvarchar](100) NULL
) ON [PRIMARY]

--populate w/ two records  
insert into clients (ID,First_name, Last_name)
values ('A2938', 'John', 'Smith')

insert into clients (ID,First_name, Last_name)
values ('A1398', 'Mary', 'Jones')




CREATE TABLE [dbo].[Buildings](
[ID_U] [nvarchar](50) NULL,
[Move_in_Date_Building_A] [datetime] NULL,
[Move_out_Date_Building_A] [datetime] NULL,
[Move_in_Date_Building_B] [datetime] NULL,
[Move_out_Date_Building_B] [datetime] NULL,
[Move_in_Date_Building_C] [datetime] NULL,
[Move_out_Date_Building_C] [datetime] NULL,
[Building_A] [nvarchar](50) NULL,
[Building_B] [nvarchar](50) NULL,
[Building_C] [nvarchar](50) NULL
) ON [PRIMARY]


-- Populate the tables with two records
insert into buildings (ID_U,Move_in_Date_Building_A,Move_out_Date_Building_A, Move_in_Date_Building_B,
Move_out_Date_Building_B, Move_in_Date_Building_C, Building_A, Building_B, Building_C)
VALUES ('A2938','2010-9-12', '2010-11-3','2010-11-3','2010-11-15', '2010-11-15', 'Kalgan', 'Rufus','Waylon')


insert into buildings (ID_U,Move_in_Date_Building_A,Building_A)
VALUES ('A1398','2010-10-6', 'Kalgan')

谢谢您的帮助。

I'm working on a query for a rehab organization where tenants (client/patients) live in a building when they first arrive, as they progress in their treatment they move to another building and as they near the end of treatment they are in a third building.

For funding purposes we need to know how many nights a tenant spent in each building in each month.
I can use DateDiff to get the total number of nights, but how do I get the total for each client in each month in each building?

For example, John Smith is in Building A 9/12-11/3; moves to Building B 11/3-15; moves to Building C on and is still there: 11/15 - today

What query returns a result that show the number of nights he spent in:
Building A in Septmeber, October and November.
Buidling B in November
Building C in November

Two tables hold the client's name, building name and move-in date and move-out date

CREATE TABLE [dbo].[clients](
[ID] [nvarchar](50) NULL,
[First_Name] [nvarchar](100) NULL,
[Last_Name] [nvarchar](100) NULL
) ON [PRIMARY]

--populate w/ two records  
insert into clients (ID,First_name, Last_name)
values ('A2938', 'John', 'Smith')

insert into clients (ID,First_name, Last_name)
values ('A1398', 'Mary', 'Jones')




CREATE TABLE [dbo].[Buildings](
[ID_U] [nvarchar](50) NULL,
[Move_in_Date_Building_A] [datetime] NULL,
[Move_out_Date_Building_A] [datetime] NULL,
[Move_in_Date_Building_B] [datetime] NULL,
[Move_out_Date_Building_B] [datetime] NULL,
[Move_in_Date_Building_C] [datetime] NULL,
[Move_out_Date_Building_C] [datetime] NULL,
[Building_A] [nvarchar](50) NULL,
[Building_B] [nvarchar](50) NULL,
[Building_C] [nvarchar](50) NULL
) ON [PRIMARY]


-- Populate the tables with two records
insert into buildings (ID_U,Move_in_Date_Building_A,Move_out_Date_Building_A, Move_in_Date_Building_B,
Move_out_Date_Building_B, Move_in_Date_Building_C, Building_A, Building_B, Building_C)
VALUES ('A2938','2010-9-12', '2010-11-3','2010-11-3','2010-11-15', '2010-11-15', 'Kalgan', 'Rufus','Waylon')


insert into buildings (ID_U,Move_in_Date_Building_A,Building_A)
VALUES ('A1398','2010-10-6', 'Kalgan')

Thanks for your help.

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评论(4

海的爱人是光 2024-10-11 04:16:19

我会使用正确规范化的数据库模式,您的建筑物表没有这样的用处。拆分之后我相信得到你的答案会很容易。


编辑(和更新):这是一个 CTE,它将采用这个奇怪的表结构并将其拆分为更规范化的形式,显示用户 ID、建筑物名称、迁入和迁出日期。通过对您想要的数据进行分组(并使用 DATEPART() 等),您应该能够获得您需要的数据。

WITH User_Stays AS (
    SELECT
        ID_U,
        Building_A Building,
        Move_in_Date_Building_A Move_In,
        COALESCE(Move_out_Date_Building_A, CASE WHEN ((Move_in_Date_Building_B IS NULL) OR (Move_in_Date_Building_C<Move_in_Date_Building_B)) AND (Move_in_Date_Building_C>Move_in_Date_Building_A) THEN Move_in_Date_Building_C WHEN Move_in_Date_Building_B>=Move_in_Date_Building_A THEN Move_in_Date_Building_B END, GETDATE()) Move_Out
    FROM dbo.Buildings 
    WHERE Move_in_Date_Building_A IS NOT NULL   
    UNION ALL
    SELECT
        ID_U, 
        Building_B,
        Move_in_Date_Building_B, 
        COALESCE(Move_out_Date_Building_B, CASE WHEN ((Move_in_Date_Building_A IS NULL) OR (Move_in_Date_Building_C<Move_in_Date_Building_A)) AND (Move_in_Date_Building_C>Move_in_Date_Building_B) THEN Move_in_Date_Building_C WHEN Move_in_Date_Building_A>=Move_in_Date_Building_B THEN Move_in_Date_Building_A END, GETDATE())
    FROM dbo.Buildings 
    WHERE Move_in_Date_Building_B IS NOT NULL
    UNION ALL
    SELECT
        ID_U, 
        Building_C,
        Move_in_Date_Building_C, 
        COALESCE(Move_out_Date_Building_C, CASE WHEN ((Move_in_Date_Building_B IS NULL) OR (Move_in_Date_Building_A<Move_in_Date_Building_B)) AND (Move_in_Date_Building_A>Move_in_Date_Building_C) THEN Move_in_Date_Building_A WHEN Move_in_Date_Building_B>=Move_in_Date_Building_C THEN Move_in_Date_Building_B END, GETDATE())
    FROM dbo.Buildings
    WHERE Move_in_Date_Building_C IS NOT NULL
)
SELECT *
FROM User_Stays
ORDER BY ID_U, Move_In

对示例数据运行的此查询会产生以下输出:

ID_U     Building    Move_In                 Move_Out
-------- ----------- ----------------------- -----------------------
A1398    Kalgan      2010-10-06 00:00:00.000 2010-11-23 18:35:59.050
A2938    Kalgan      2010-09-12 00:00:00.000 2010-11-03 00:00:00.000
A2938    Rufus       2010-11-03 00:00:00.000 2010-11-15 00:00:00.000
A2938    Waylon      2010-11-15 00:00:00.000 2010-11-23 18:35:59.050

(4 row(s) affected)

如您所见,从这里开始,可以更轻松地隔离每个患者或建筑物的天数,还可以查找特定月份的记录并计算正确的停留时间那种情况。请注意,CTE 显示仍在建筑物中的患者的当前日期。


编辑(再次):为了获取所有月份,包括所有相关年份的开始和结束日期,您可以使用如下的 CTE:

WITH User_Stays AS (             
        [...see above...]
    )
,
    Months AS (          
        SELECT  m.IX,
                y.[Year], dateadd(month,(12*y.[Year])-22801+m.ix,0) StartDate, dateadd(second, -1, dateadd(month,(12*y.[Year])-22800+m.ix,0)) EndDate
                FROM    (            
                    SELECT  1 IX UNION ALL 
                    SELECT  2 UNION ALL 
                    SELECT  3 UNION ALL 
                    SELECT  4 UNION ALL 
                    SELECT  5 UNION ALL 
                    SELECT  6 UNION ALL 
                    SELECT  7 UNION ALL 
                    SELECT  8 UNION ALL 
                    SELECT  9 UNION ALL 
                    SELECT  10 UNION ALL 
                    SELECT  11 UNION ALL 
                    SELECT  12 
                )
        m 
            CROSS JOIN (             
                    SELECT  Datepart(YEAR, us.Move_In) [Year] 
                    FROM    User_Stays us UNION 
                    SELECT  Datepart(YEAR, us.Move_Out) 
                    FROM    User_Stays us 
                )
        y 
    )
SELECT  * 
FROM    months;

因此,由于我们现在有可能感兴趣的所有日期范围的表格表示,我们只需将其连接在一起:

WITH User_Stays AS ([...]),
Months AS ([...])
SELECT  m.[Year],
    DATENAME(MONTH, m.StartDate) [Month],
    us.ID_U,
    us.Building,
    DATEDIFF(DAY, CASE WHEN us.Move_In>m.StartDate THEN us.Move_In ELSE m.StartDate END, CASE WHEN us.Move_Out<m.EndDate THEN us.Move_Out ELSE DATEADD(DAY, -1, m.EndDate) END) Days 
FROM    Months m 
JOIN User_Stays us ON (us.Move_In < m.EndDate) AND (us.Move_Out >= m.StartDate)
ORDER BY m.[Year],
    us.ID_U,
    m.Ix,
    us.Move_In

最终产生以下输出:

Year        Month        ID_U     Building   Days
----------- ------------ -------- ---------- -----------
2010        October      A1398    Kalgan     25
2010        November     A1398    Kalgan     22
2010        September    A2938    Kalgan     18
2010        October      A2938    Kalgan     30
2010        November     A2938    Kalgan     2
2010        November     A2938    Rufus      12
2010        November     A2938    Waylon     8

I'd use a properly normalized database schema, your Buildings table is not useful like this. After splitting it up I believe that getting your answer will be pretty easy.


Edit (and updated): Here's a CTE which will take this strange table structure and split it into a more normalized form, displaying the user id, building name, move in and move out dates. By grouping on the ones you want (and using DATEPART() etc.) you should be able to get the data you need with that.

WITH User_Stays AS (
    SELECT
        ID_U,
        Building_A Building,
        Move_in_Date_Building_A Move_In,
        COALESCE(Move_out_Date_Building_A, CASE WHEN ((Move_in_Date_Building_B IS NULL) OR (Move_in_Date_Building_C<Move_in_Date_Building_B)) AND (Move_in_Date_Building_C>Move_in_Date_Building_A) THEN Move_in_Date_Building_C WHEN Move_in_Date_Building_B>=Move_in_Date_Building_A THEN Move_in_Date_Building_B END, GETDATE()) Move_Out
    FROM dbo.Buildings 
    WHERE Move_in_Date_Building_A IS NOT NULL   
    UNION ALL
    SELECT
        ID_U, 
        Building_B,
        Move_in_Date_Building_B, 
        COALESCE(Move_out_Date_Building_B, CASE WHEN ((Move_in_Date_Building_A IS NULL) OR (Move_in_Date_Building_C<Move_in_Date_Building_A)) AND (Move_in_Date_Building_C>Move_in_Date_Building_B) THEN Move_in_Date_Building_C WHEN Move_in_Date_Building_A>=Move_in_Date_Building_B THEN Move_in_Date_Building_A END, GETDATE())
    FROM dbo.Buildings 
    WHERE Move_in_Date_Building_B IS NOT NULL
    UNION ALL
    SELECT
        ID_U, 
        Building_C,
        Move_in_Date_Building_C, 
        COALESCE(Move_out_Date_Building_C, CASE WHEN ((Move_in_Date_Building_B IS NULL) OR (Move_in_Date_Building_A<Move_in_Date_Building_B)) AND (Move_in_Date_Building_A>Move_in_Date_Building_C) THEN Move_in_Date_Building_A WHEN Move_in_Date_Building_B>=Move_in_Date_Building_C THEN Move_in_Date_Building_B END, GETDATE())
    FROM dbo.Buildings
    WHERE Move_in_Date_Building_C IS NOT NULL
)
SELECT *
FROM User_Stays
ORDER BY ID_U, Move_In

This query run on your sample data produces he following output:

ID_U     Building    Move_In                 Move_Out
-------- ----------- ----------------------- -----------------------
A1398    Kalgan      2010-10-06 00:00:00.000 2010-11-23 18:35:59.050
A2938    Kalgan      2010-09-12 00:00:00.000 2010-11-03 00:00:00.000
A2938    Rufus       2010-11-03 00:00:00.000 2010-11-15 00:00:00.000
A2938    Waylon      2010-11-15 00:00:00.000 2010-11-23 18:35:59.050

(4 row(s) affected)

As you can see, from here on it will be much easier to isolate the days per patient or building, and also to find the records for specific months and calculate the correct stay duration in that case. Note that the CTE displays the current date for patients which are still in a building.


Edit (again): In order to get all months including their start and end dates for all relevant years, you can use a CTE like this:

WITH User_Stays AS (             
        [...see above...]
    )
,
    Months AS (          
        SELECT  m.IX,
                y.[Year], dateadd(month,(12*y.[Year])-22801+m.ix,0) StartDate, dateadd(second, -1, dateadd(month,(12*y.[Year])-22800+m.ix,0)) EndDate
                FROM    (            
                    SELECT  1 IX UNION ALL 
                    SELECT  2 UNION ALL 
                    SELECT  3 UNION ALL 
                    SELECT  4 UNION ALL 
                    SELECT  5 UNION ALL 
                    SELECT  6 UNION ALL 
                    SELECT  7 UNION ALL 
                    SELECT  8 UNION ALL 
                    SELECT  9 UNION ALL 
                    SELECT  10 UNION ALL 
                    SELECT  11 UNION ALL 
                    SELECT  12 
                )
        m 
            CROSS JOIN (             
                    SELECT  Datepart(YEAR, us.Move_In) [Year] 
                    FROM    User_Stays us UNION 
                    SELECT  Datepart(YEAR, us.Move_Out) 
                    FROM    User_Stays us 
                )
        y 
    )
SELECT  * 
FROM    months;

So since we now have a tabular representation of all date ranges which can be of interest, we simply join this together:

WITH User_Stays AS ([...]),
Months AS ([...])
SELECT  m.[Year],
    DATENAME(MONTH, m.StartDate) [Month],
    us.ID_U,
    us.Building,
    DATEDIFF(DAY, CASE WHEN us.Move_In>m.StartDate THEN us.Move_In ELSE m.StartDate END, CASE WHEN us.Move_Out<m.EndDate THEN us.Move_Out ELSE DATEADD(DAY, -1, m.EndDate) END) Days 
FROM    Months m 
JOIN User_Stays us ON (us.Move_In < m.EndDate) AND (us.Move_Out >= m.StartDate)
ORDER BY m.[Year],
    us.ID_U,
    m.Ix,
    us.Move_In

Which finally produces this output:

Year        Month        ID_U     Building   Days
----------- ------------ -------- ---------- -----------
2010        October      A1398    Kalgan     25
2010        November     A1398    Kalgan     22
2010        September    A2938    Kalgan     18
2010        October      A2938    Kalgan     30
2010        November     A2938    Kalgan     2
2010        November     A2938    Rufus      12
2010        November     A2938    Waylon     8
就像说晚安 2024-10-11 04:16:19

-- 设置您想要的月份的日期

Declare @startDate datetime
declare @endDate datetime

set @StartDate = '09/01/2010'
set @EndDate = '09/30/2010'


select 
-- determine if the stay occurred during this month
    Case When @StartDate <= Move_out_Date_Building_A and @EndDate >= Move_in_Date_Building_A
         Then 
                  (DateDiff(d, @StartDate , @enddate+1) 
                   )
-- drop the days off the front
                - (Case When @StartDate <  Move_in_Date_Building_A
                       Then datediff(d, @StartDate, Move_in_Date_Building_A)
                       Else 0
                  End)
--drop the days of the end
                - (Case When @EndDate > Move_out_Date_Building_A
                       Then datediff(d, @EndDate,  Move_out_Date_Building_A)
                       Else 0
                  End)
        Else 0
    End AS Building_A_Days_Stayed
from Clients c 
inner join Buildings b
on c.id = b.id_u

-- set the dates for which month you want

Declare @startDate datetime
declare @endDate datetime

set @StartDate = '09/01/2010'
set @EndDate = '09/30/2010'


select 
-- determine if the stay occurred during this month
    Case When @StartDate <= Move_out_Date_Building_A and @EndDate >= Move_in_Date_Building_A
         Then 
                  (DateDiff(d, @StartDate , @enddate+1) 
                   )
-- drop the days off the front
                - (Case When @StartDate <  Move_in_Date_Building_A
                       Then datediff(d, @StartDate, Move_in_Date_Building_A)
                       Else 0
                  End)
--drop the days of the end
                - (Case When @EndDate > Move_out_Date_Building_A
                       Then datediff(d, @EndDate,  Move_out_Date_Building_A)
                       Else 0
                  End)
        Else 0
    End AS Building_A_Days_Stayed
from Clients c 
inner join Buildings b
on c.id = b.id_u
晨与橙与城 2024-10-11 04:16:19

尝试使用日期表。例如,您可以像这样创建一个:

CREATE TABLE Dates
(
  [date]    datetime,
  [year]    smallint,
  [month]   tinyint,
  [day]     tinyint
)

INSERT INTO Dates(date)
SELECT dateadd(yy, 100, cast(row_number() over(order by s1.object_id) as datetime))
FROM sys.objects s1
  CROSS JOIN sys.objects s2

UPDATE Dates
SET [year] = year(date),
    [month] = month(date),
    [day] = day(date)

只需修改初始日期数量即可满足您的需求(在我的测试实例上,上面生成的日期是从 2000-01-02 到 2015-10-26)。对于日期表,查询非常简单,如下所示:

select c.First_name, c.Last_name,
    b.Building_A BuildingName, dA.year, dA.month, count(distinct dA.day) daysInBuilding
from clients c
    join Buildings b on c.ID = b.ID_U
    left join Dates dA on dA.date between b.Move_in_Date_Building_A and isnull(b.Move_out_Date_Building_A, getDate())
group by c.First_name, c.Last_name,
    b.Building_A, dA.year, dA.month
UNION
select c.First_name, c.Last_name,
    b.Building_B, dB.year, dB.month, count(distinct dB.day)
from clients c
    join Buildings b on c.ID = b.ID_U
    left join Dates dB on dB.date between b.Move_in_Date_Building_B and isnull(b.Move_out_Date_Building_B, getDate())
group by c.First_name, c.Last_name,
    b.Building_B, dB.year, dB.month
UNION
select c.First_name, c.Last_name,
    b.Building_C, dC.year, dC.month, count(distinct dC.day)
from clients c
    join Buildings b on c.ID = b.ID_U
    left join Dates dC on dC.date between b.Move_in_Date_Building_C and isnull(b.Move_out_Date_Building_C, getDate())
group by c.First_name, c.Last_name,
    b.Building_C, dC.year, dC.month

Try using a date table. For example, you could create one like so:

CREATE TABLE Dates
(
  [date]    datetime,
  [year]    smallint,
  [month]   tinyint,
  [day]     tinyint
)

INSERT INTO Dates(date)
SELECT dateadd(yy, 100, cast(row_number() over(order by s1.object_id) as datetime))
FROM sys.objects s1
  CROSS JOIN sys.objects s2

UPDATE Dates
SET [year] = year(date),
    [month] = month(date),
    [day] = day(date)

Just modify the initial Dates population to meet your needs (on my test instance, the above yielded dates from 2000-01-02 to 2015-10-26). With a dates table, the query is pretty straight forward, something like this:

select c.First_name, c.Last_name,
    b.Building_A BuildingName, dA.year, dA.month, count(distinct dA.day) daysInBuilding
from clients c
    join Buildings b on c.ID = b.ID_U
    left join Dates dA on dA.date between b.Move_in_Date_Building_A and isnull(b.Move_out_Date_Building_A, getDate())
group by c.First_name, c.Last_name,
    b.Building_A, dA.year, dA.month
UNION
select c.First_name, c.Last_name,
    b.Building_B, dB.year, dB.month, count(distinct dB.day)
from clients c
    join Buildings b on c.ID = b.ID_U
    left join Dates dB on dB.date between b.Move_in_Date_Building_B and isnull(b.Move_out_Date_Building_B, getDate())
group by c.First_name, c.Last_name,
    b.Building_B, dB.year, dB.month
UNION
select c.First_name, c.Last_name,
    b.Building_C, dC.year, dC.month, count(distinct dC.day)
from clients c
    join Buildings b on c.ID = b.ID_U
    left join Dates dC on dC.date between b.Move_in_Date_Building_C and isnull(b.Move_out_Date_Building_C, getDate())
group by c.First_name, c.Last_name,
    b.Building_C, dC.year, dC.month
岛歌少女 2024-10-11 04:16:19

如果您无法重组 Building 表,您可以创建一个查询来对其进行规范化并允许更轻松的计算:

SELECT "A" as Building, BuidlingA as Name, Move_in_Date_Building_A as MoveInDate, 
Move_out_Date_Building_A As MoveOutDate
UNION
SELECT "B", BuidlingB, Move_in_Date_Building_B, Move_out_Date_Building_B 
 UNION
SELECT "C", BuidlingC, Move_in_Date_Building_C, Move_out_Date_Building_C

If you can't restructure the Building table you can create a query that will normalize it for you and allow for easier calculations:

SELECT "A" as Building, BuidlingA as Name, Move_in_Date_Building_A as MoveInDate, 
Move_out_Date_Building_A As MoveOutDate
UNION
SELECT "B", BuidlingB, Move_in_Date_Building_B, Move_out_Date_Building_B 
 UNION
SELECT "C", BuidlingC, Move_in_Date_Building_C, Move_out_Date_Building_C
~没有更多了~
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