I have the following table in SQL Server and would like to get the last and next appointments for each customer.
Note: If the first appointment is in the future, last appointment should be N/A. Similarly if the last appointment is in the past, next appointment will be N/A. If the last appointment is older than 30 days it should not be shown (if there is no future appointment - considered an inactive customer).
CustomerId (int) | Date (date) | Time (time)
1 | 20210801 | 11:00
1 | 20210802 | 13:00
1 | 20210805 | 10:00
1 | 20210811 | 16:00
1 | 20210821 | 17:00
2 | 20210801 | 11:00
2 | 20210802 | 11:00
2 | 20210803 | 11:00
2 | 20210804 | 11:00
3 | 20210831 | 11:00
4 | 20210526 | 10:00
In this case the result should be (Assuming the date is today 7 August 2021):
CustomerId (int) | LastAppointment (varchar) | NextAppointment (varchar)
1 | 05 Aug 2021 - 10:00 | 11 Aug 2021 - 16:00
2 | 04 Aug 2021 - 11:00 | N/A
3 | N/A | 31 Aug 2021 - 11:00
Can anyone help me please? An example would be appreciated.
You simply need to work with datetime values and then use conditional aggregation to select the required date for each customer. Using a CTE first to simplify converting the dates as much as possible, this looks like:
with ap as (
select CustomerId, Convert(datetime,Left(Concat([date], ' ', [time]),15)) app
from t
), groups as (
select CustomerId,
Max(case when app <= GetDate() then app end) LastAppointment,
Min(case when app > GetDate() then app end) NextAppointment
from ap
group by customerId
)
select CustomerID,
IsNull(Format(LastAppointment, 'dd MMM yyyy - hh:mm'), 'N/A') LastAppointment,
IsNull(Format(NextAppointment, 'dd MMM yyyy - hh:mm'), 'N/A') NextAppointment
from groups
where DateAdd(day,-30,GetDate()) < isnull(lastappointment,GetDate())
see DB<>Fiddle
Also note this query only touches the table once and performs a single logical read.
You need conditional aggregation:
SELECT CustomerId,
COALESCE(
MAX(CASE
WHEN CAST(Date AS DATETIME) + CAST(Time AS DATETIME) < GETDATE()
THEN FORMAT(CAST(Date AS DATETIME) + CAST(Time AS DATETIME), 'dd MMM yyyy - HH:mm')
END
), 'N/A'
) LastAppointment,
COALESCE(
MIN(CASE
WHEN CAST(Date AS DATETIME) + CAST(Time AS DATETIME) > GETDATE()
THEN FORMAT(CAST(Date AS DATETIME) + CAST(Time AS DATETIME), 'dd MMM yyyy - HH:mm')
END
), 'N/A'
) NextAppointment
FROM tablename
GROUP BY CustomerId
HAVING COALESCE(DATEDIFF(
d,
MAX(CASE
WHEN CAST(Date AS DATETIME) + CAST(Time AS DATETIME) < GETDATE()
THEN CAST(Date AS DATETIME) + CAST(Time AS DATETIME)
END
),
GETDATE()
), 0) < 30
See the demo.
Results:
CustomerId
LastAppointment
NextAppointment
1
05 Aug 2021 - 10:00
11 Aug 2021 - 16:00
2
04 Aug 2021 - 11:00
N/A
3
N/A
31 Aug 2021 - 11:00
NOTE : This solution works but it is very bad in terms of performance, check this answer for a better approach
Something like this
SELECT DISTINCT customerid,
Isnull(CONVERT(VARCHAR,
(SELECT TOP 1 Concat(date, ' ', TIME)
FROM appointments B
WHERE b.customerid = a.customerid
AND ([date] < CONVERT(DATE, Getdate())
OR ([date] = CONVERT(DATE, Getdate())
AND [time] <= CONVERT(TIME, Getdate())))
ORDER BY [date] DESC)), 'N/A') AS lastappointment,
Isnull(CONVERT(VARCHAR,
(SELECT TOP 1 Concat(date, ' ', TIME)
FROM appointments B
WHERE b.customerid = a.customerid
AND ([date] > CONVERT(DATE, Getdate())
OR ([date] = CONVERT(DATE, Getdate())
AND [time] > CONVERT (TIME, Getdate())))
ORDER BY [date])), 'N/A') AS nextappointment
FROM appointments A
WHERE Datediff(DAY,
(SELECT TOP 1 date
FROM appointments B
WHERE b.customerid = a.customerid
AND [date] <= CONVERT(DATE, Getdate())
ORDER BY [date] DESC), CONVERT(DATE, Getdate())) <= 30
OR (((
(SELECT TOP 1 date
FROM appointments B
WHERE b.customerid = a.customerid
AND [date] > CONVERT(DATE, Getdate())
ORDER BY [date]) > CONVERT(DATE, Getdate())))
OR ((
(SELECT TOP 1 date
FROM appointments B
WHERE b.customerid = a.customerid
AND [date] > CONVERT(DATE, Getdate())
ORDER BY [date]) = CONVERT(DATE, Getdate()))
AND (
(SELECT TOP 1 [time]
FROM appointments B
WHERE b.customerid = a.customerid
AND [date] > CONVERT(DATE, Getdate())
ORDER BY [date]) > CONVERT(TIME, Getdate()))))
I called your table appointments and the condition is to select customer with last appointment in the past 30 days OR with a future appointment.
I tested with column types Date for Date and Time(7) for time.
Base table is used only single time because of optimization purpose. Use LAG() function and others necessary condition for picking actual set of data.
-- SQL SERVER
SELECT p.CustomerId
, CASE WHEN p.chk_condition = 1
THEN CONVERT(varchar(13), p.prev_Date, 113) + ' - ' + LEFT(p.prev_time, 5)
WHEN p.chk_condition = 2
THEN CONVERT(varchar(13), p.Date, 113) + ' - ' + LEFT(p.time, 5)
ELSE 'N/A'
END "LastAppointment"
, CASE WHEN p.chk_condition != 2
THEN CONVERT(varchar(13), p.Date, 113) + ' - ' + LEFT(p.time, 5)
ELSE 'N/A'
END "NextAppointment"
FROM ( SELECT t.*
, CASE WHEN t.prev_Date < GETDATE() AND t.Date >= GETDATE()
THEN 1
WHEN t.prev_Date < GETDATE() AND t.Date <= GETDATE()
THEN 2
ELSE 0
END chk_condition
, ROW_NUMBER() OVER (PARTITION BY CustomerId ORDER BY t.Date DESC, t.prev_Date DESC) row_num
FROM (SELECT CustomerId, Date, Time
, LAG(Date) OVER (PARTITION BY CustomerId ORDER BY "Date", "Time") "prev_Date"
, LAG(Time) OVER (PARTITION BY CustomerId ORDER BY "Date", "Time") "prev_Time"
FROM appointment) t
WHERE CASE WHEN t.prev_Date < GETDATE() AND t.Date >= GETDATE()
THEN 1
WHEN t.prev_Date IS NULL
THEN CASE WHEN DATEDIFF(day, t.Date, GETDATE()) >= 30
THEN 0
ELSE 1
END
WHEN t.prev_Date < GETDATE() AND t.Date <= GETDATE()
THEN 1
END = 1 ) p
WHERE p.row_num = 1
ORDER BY p.CustomerId;
Please check this url https://dbfiddle.uk/?rdbms=sqlserver_2019&fiddle=3813d09cf25ed14d249970654995b085
Related
I current have a query that grabs the number of parts made per hour between two dates:
DECLARE #StartDate datetime
DECLARE #EndDate datetime
SET #StartDate = '10/10/2018'
SET #EndDate = '11/11/2018'
SELECT
CONVERT(VARCHAR(10), CAST(presstimes AS DATE), 111) AS ForDate,
DATEPART(HOUR, presstimes) AS OnHour,
COUNT(*) AS Totals
FROM
partmasterlist
WHERE
((presstimes >= #StartDate AND presstimes < dateAdd(d, 1, #EndDate))
AND (((presstimes IS NOT NULL))))
GROUP BY
CONVERT(VARCHAR(10), CAST(presstimes AS DATE), 111),
DATEPART(HOUR, presstimes)
ORDER BY
CONVERT(VARCHAR(10), CAST(presstimes AS DATE), 111) ASC;
Output:
Date Hour QTY
---------------------
2018/11/06 11 16
2018/11/06 12 20
2018/11/06 13 29
2018/11/06 14 26
Now I need to add another qty column to count where "trimmingtimes" is set.
I can't figure out how to full join the date and hour columns (e.g. presstimes might have 20qty for Hour 2, but trimmingtimes is NULL for Hour 2);
Input:
ID presstimes trimmingtimes
-----------------------------------------------------------------
1 2018-10-10 01:15:23.000 2018-10-10 01:15:23.000
2 2018-10-10 01:15:23.000 NULL
3 2018-10-10 02:15:23.000 NULL
4 NULL 2018-10-10 03:15:23.000
Output:
Date hour Press QTY T QTY
------------------------------------
10/10/18 1 2 1
10/10/18 2 1 0
10/10/18 3 0 1
I suspect you want something like this:
select convert(date, v.dt) as date,
datepart(hour, v.dt) as hour,
sum(ispress) as num_press,
sum(istrim) as num_trim
from partmasterlist pml cross apply
(values (pml.presstime, 1, 0), (pml.trimmingtime, 0, 1)
) v(dt, ispress, istrim)
group by convert(date, v.dt), datepart(hour, v.dt)
order by convert(date, v.dt), datepart(hour, v.dt);
You can add a where clause for a particular range.
I have a DataEntry Table called GuestAddressData(UserId INT, EDate DateTime) with users data. I need to fetch the count of users for today to previous 7 Days. My Query:
SELECT
row_number() over (order by (SELECT 1)) ID,
count(*) Total,
LEFT(Datename(weekday, Cast(EDate as date)), 3) Day
FROM
CRM0001GuestAddressData
WHERE
EDate >= dateadd(week, datediff(d, -1, getdate()-2)/7, -1)
GROUP BY
Cast(EDate as date)
ORDER BY
Cast(EDate as date)
For example if today is Friday then my expected output is:
ID | TOTAL | DAY
------------------------
1 | 78 | Sat
2 | 23 | Sun
3 | 54 | Mon
4 | 17 | Tues
5 | 56 | Wed
6 | 45 | Thus
7 | 78 | Fri - Today
but this is not correct. How to solve it?
You can "generate" a list of seven numbers and use it to build the desired dates. Then left join with your data to get the counts, including zeros:
WITH datelist(num, a, b) AS (
SELECT num, DATEADD(DAY, -num, CAST(CURRENT_TIMESTAMP AS DATE)), DATEADD(DAY, -num + 1, CAST(CURRENT_TIMESTAMP AS DATE))
FROM (VALUES (0), (1), (2), (3), (4), (5), (6)) AS v(num)
)
SELECT 7 - num AS ID, datelist.a AS Day, COUNT(IDBooking)
FROM datelist
LEFT JOIN T_Bookings ON Opened >= datelist.a AND Opened < datelist.b
GROUP BY datelist.a, datelist.num
ORDER BY datelist.a
SELECT
row_number() over (order by dDate) ID,
cnt,
LEFT(Datename(weekday, dDate), 3) Day
from
(Select cast(EDate as Date) as dDate,
count(*) as cnt
FROM (values (0),(1),(2),(3),(4),(5),(6)) t(v)
inner join
CRM0001GuestAddressData gd on datediff(d, gd.Edate, getdate()) = t.v
WHERE
EDate >= dateadd(d, -6, cast(getdate() as date)) and EDate < dateadd(d,1,cast(getdate() as date))
GROUP BY
Cast(EDate as date)) tmp;
Note: You meant to get 7 days from yesterday, right? Nevermind, corrected based on your sample.
DBFiddle demo
EDIT: Having all days:
SELECT
row_number() over (order by dDate) ID,
cnt,
LEFT(Datename(weekday, dDate), 3) Day
from
(Select dateadd(d,-v,cast(getdate() as date)) as dDate,
count(Edate) as cnt
FROM (values (0),(1),(2),(3),(4),(5),(6)) t(v)
left join
CRM0001GuestAddressData gd on Datediff(d,gd.EDate, getdate()) = t.v
GROUP BY
dateadd(d,-v,cast(getdate() as date))) tmp;
DBFiddle Demo
I'm not even sure if this can/should be done is SQL but here goes.
I have a table that stores a start date and an end date like so
userPingId createdAt lastUpdatedAt
1 2017-10-17 11:31:52.160 2017-10-18 14:31:52.160
I want to return a result set that groups the results by date and if they were active between different points between the two date.
The different points are
Morning - Before 12pm
Afternoon - Between 12pm and 5pm
Evening - After 5pm
So for example I would get the following results
sessionDate morning afternoon evening
2017-10-17 1 1 1
2017-10-18 1 1 0
Here is what I have so far and I believe that it's quite close but the fact I can't get the results I need make me think that this might not be possible in SQL (btw i'm using a numbers lookup table in my query which I saw on another tutorial)
DECLARE #s DATE = '2017-01-01', #e DATE = '2018-01-01';
;WITH d(sessionDate) AS
(
SELECT TOP (DATEDIFF(DAY, #s, #e) + 1) DATEADD(DAY, n-1, #s)
FROM dbo.Numbers ORDER BY n
)
SELECT
d.sessionDate,
sum(case when
(CONVERT(DATE, createdAt) = d.sessionDate AND datepart(hour, createdAt) < 12)
OR (CONVERT(DATE, lastUpdatedAt) = d.sessionDate AND datepart(hour, lastUpdatedAt) < 12)
then 1 else 0 end) as Morning,
sum(case when
(datepart(hour, createdAt) >= 12 and datepart(hour, createdAt) < 17)
OR (datepart(hour, lastUpdatedAt) >= 12 and datepart(hour, lastUpdatedAt) < 17)
OR (datepart(hour, createdAt) < 12 and datepart(hour, lastUpdatedAt) >= 17)
then 1 else 0 end) as Afternoon,
sum(case when datepart(hour, createdAt) >= 17 OR datepart(hour, lastUpdatedAt) >= 17 then 1 else 0 end) as Evening
FROM d
LEFT OUTER JOIN MYTABLE AS s
ON s.createdAt >= #s AND s.lastUpdatedAt <= #e
AND (CONVERT(DATE, s.createdAt) = d.sessionDate OR CONVERT(DATE, s.lastUpdatedAt) = d.sessionDate)
WHERE d.sessionDate >= #s AND d.sessionDate <= #e
AND userPingId = 49
GROUP BY d.sessionDate
ORDER BY d.sessionDate;
Building on what you started with the numbers table, you can add the time ranges to your adhoc calendar table using another common table expression using cross apply()
and the table value constructor (values (...),(...)).
From there, you can use an inner join based on overlapping date ranges along with conditional aggregation to pivot the results:
declare #s datetime = '2017-01-01', #e datetime = '2018-01-01';
;with n as (select n from (values(0),(1),(2),(3),(4),(5),(6),(7),(8),(9)) t(n))
, d as ( /* adhoc date/numbers table */
select top (datediff(day, #s, #e)+1)
SessionDate=convert(datetime,dateadd(day,row_number() over(order by (select 1))-1,#s))
from n as deka cross join n as hecto cross join n as kilo
cross join n as tenK cross join n as hundredK
order by SessionDate
)
, h as ( /* add time ranges to date table */
select
SessionDate
, StartDateTime = dateadd(hour,v.s,SessionDate)
, EndDateTime = dateadd(hour,v.e,SessionDate)
, v.point
from d
cross apply (values
(0,12,'morning')
,(12,17,'afternoon')
,(17,24,'evening')
) v (s,e,point)
)
select
t.userPingId
, h.SessionDate
, morning = count(case when point = 'morning' then 1 end)
, afternoon = count(case when point = 'afternoon' then 1 end)
, evening = count(case when point = 'evening' then 1 end)
from t
inner join h
on t.lastupdatedat >= h.startdatetime
and h.enddatetime > t.createdat
group by t.userPingId, h.SessionDate
rextester demo: http://rextester.com/MVB77123
returns:
+------------+-------------+---------+-----------+---------+
| userPingId | SessionDate | morning | afternoon | evening |
+------------+-------------+---------+-----------+---------+
| 1 | 2017-10-17 | 1 | 1 | 1 |
| 1 | 2017-10-18 | 1 | 1 | 0 |
+------------+-------------+---------+-----------+---------+
Alternately, you could use pivot() instead of conditional aggregation in the final select:
select UserPingId, SessionDate, Morning, Afternoon, Evening
from (
select
t.userPingId
, h.SessionDate
, h.point
from t
inner join h
on t.lastupdatedat >= h.startdatetime
and h.enddatetime > t.createdat
) t
pivot (count(point) for point in ([Morning], [Afternoon], [Evening])) p
rextester demo: http://rextester.com/SKLRG63092
You can using PIVOT on CTE's to derive solution to this problem.
Below is the test table
select * from ping
Below is the sql query
;with details as
(
select userPingId, createdAt as presenceDate , convert(date, createdAt) as
onlyDate,
datepart(hour, createdAt) as onlyHour
from ping
union all
select userPingId, lastUpdatedAt as presenceDate , convert(date,
lastUpdatedAt) as onlyDate,
datepart(hour, lastUpdatedAt) as onlyHour
from ping
)
, cte as
(
select onlyDate,count(*) as count,
case
when onlyHour between 0 and 12 then 'morning'
when onlyHour between 12 and 17 then 'afternoon'
when onlyHour>17 then 'evening'
end as 'period'
from details
group by onlyDate,onlyHour
)
select onlyDate, coalesce(morning,0) as morning,
coalesce(afternoon,0) as afternoon , coalesce(evening,0) as evening from
(
select onlyDate, count,period
from cte ) src
pivot
(
sum(count)
for period in ([morning],[afternoon],[evening])
) p
Below is the final result
This is a fairly similar answer to the one already posted, I just wanted the practice with PIVOT :)
I use a separate table with the time sections in it. this is then cross joined with the number table to create a date and time range for bucketing. i join this to the data and then pivot it (example: https://data.stackexchange.com/stackoverflow/query/750496/bucketing-data-into-date-am-pm-evening-and-pivoting-results)
SELECT
*
FROM (
SELECT
[userPingId],
dt,
[desc]
FROM (
SELECT
DATEADD(D, number, #s) AS dt,
CAST(DATEADD(D, number, #s) AS datetime) + CAST(s AS datetime) AS s,
CAST(DATEADD(D, number, #s) AS datetime) + CAST(e AS datetime) AS e,
[desc]
FROM #numbers
CROSS JOIN #times
WHERE number < DATEDIFF(D, #s, #e)
) ts
INNER JOIN #mytable AS m
ON m.createdat < ts.e
AND m.[lastUpdatedAt] >= ts.s
) src
PIVOT
(
COUNT([userPingId])
FOR [desc] IN ([am], [pm], [ev])
) piv;
the #times table is just:
s e desc
00:00:00.0000000 12:00:00.0000000 am
12:00:00.0000000 17:00:00.0000000 pm
17:00:00.0000000 23:59:59.0000000 ev
We offer services for clients and each client has an Authorization for 90 days
I want to create a function which counts 15 days as full months.
For example, let’s say a client get Authorization on 10/17/2017. It’s means it’s less than 15 days for October so that Authorization will not count for October, but it has to count for November, December and January 2018.
;WITH CTE AS (
select
d.ClientId,
LOC
datediff(day, l.DecisionOn, d.duedate) 'Days',
l.DecisionOn,
d.duedate
from code d
join codeloc l on d.curdocversionid = l.docversionid
join codeaccess a on a.docversionid = d.curdocversionid
where codeid = 69999
and aoca in ('68','69','70','71','72','74')
),
T AS (
SELECT ClientId, LOC, COUNT(*) CNT FROM CTE
WHERE [Days] > 15
AND AuthorizedDecisionOn > DATEADD(MONTH, (CASE WHEN DAY(GETDATE()) > 15 THEN 1 ELSE 0 END) , CAST( GETDATE() as date))
AND duedate < DATEADD(MONTH,3 + (CASE WHEN DAY(GETDATE()) > 15 THEN 1 ELSE 0 END) , CAST( GETDATE() as date))
GROUP BY ClientId, LOC
)
Here's an inline table valued function (iTvf) that will give you what you need.
(note: I use iTvf's because they outperform scalar udfs)
CREATE FUNCTION dbo.monthsBetweenMinDay
(
#fromDate date,
#toDate date,
#minDays tinyint
)
RETURNS TABLE WITH SCHEMABINDING AS RETURN
SELECT Months = m.mb +
CASE WHEN DATEDIFF(day,d.fd,dateadd(month, -m.mb, d.td)) >= #minDays THEN 1 ELSE 0 END
FROM (VALUES (#fromDate, #toDate)) d(fd,td) -- from date and todate
CROSS APPLY (VALUES(
CASE WHEN d.fd > d.td THEN NULL
WHEN DATEPART(day, d.fd) > DATEPART(day, d.td) THEN DATEDIFF(month, d.fd, d.td)-1
ELSE DATEDIFF(month, d.fd, d.td) END)) m(mb);
Here's an example of the function in action:
-- sample data
CREATE TABLE #dates (date1 date, date2 date);
INSERT #dates
SELECT dt.dt, CAST(DATEADD(day, [days].d, DATEADD(month, months.m, dt.dt)) as date)
FROM (VALUES ('20170101')) dt(dt), (VALUES (4),(15),(25)) [days](d), (VALUES(0),(1),(4)) months(m);
-- solution
SELECT *
FROM #dates d
CROSS APPLY dbo.monthsBetweenMinDay(d.date1, d.date2, 15);
Results
date1 date2 Months
---------- ---------- -----------
2017-01-01 2017-01-05 0
2017-01-01 2017-01-16 1
2017-01-01 2017-01-26 1
2017-01-01 2017-02-05 1
2017-01-01 2017-02-16 2
2017-01-01 2017-02-26 2
2017-01-01 2017-05-05 4
2017-01-01 2017-05-16 5
2017-01-01 2017-05-26 5
I have a table called dates,
Opendate | Closedate
------------+---------------
2015-07-09 | 2016-08-10
I am expecting the output like,
opendate | closedate | diff
------------+---------------+----------------------
2015-07-09 | 2016-08-10 | 1year 1month 1day
2015-07-09 | 2016-03-01 | 8 months 20 days
2015-07-09 | 2015-07-11 | 2 days
But when I run this query:
SELECT opendate,
closedate,
Datediff(year, opendate, closedate) AS years,
Datediff(month, opendate, closedate) AS months,
Datediff(day, opendate, closedate) AS days
FROM dates
It is giving me an output like,
opendate | closedate | years | months | days
------------+---------------+-------+--------+---------
2015-07-09 | 2016-08-10 | 1 | 13 | 397
How can we calculate 1 year 1 month and 1 day
You can use Stacked CTE to find one by one the next year, month and date.
Explanation
Query Below first finds out the DATEDIFF Years of opendate and closedate and checks if the resulting date is greater than closedate. if it is, the actual year difference is DATEDIFF of Y -1. use this new date and fetch the DATEDIFF of months using the same logic and then get the difference in days.
Online Example
Query
WITH D(Opendate,Closedate)AS
(
SELECT CAST('2015-07-09' AS DATE),CAST('2016-08-10' AS DATE)
UNION ALL
SELECT CAST('2015-07-09' AS DATE),CAST('2016-03-01' AS DATE)
UNION ALL
SELECT CAST('2015-07-09' AS DATE),CAST('2015-07-11' AS DATE)
),Y AS
(
SELECT Opendate,Closedate,
CASE
WHEN DATEADD(YEAR,DATEDIFF(YEAR,Opendate,Closedate),Opendate) > Closedate
THEN DATEDIFF(YEAR,Opendate,Closedate) - 1
ELSE DATEDIFF(YEAR,Opendate,Closedate)
END Years
FROM D
), YDate as
(
SELECT Opendate,Closedate,Years,DATEADD(YEAR,Years,Opendate) as Newopendate
FROM Y
),M AS
(
SELECT Opendate,Closedate,Years,Newopendate,
CASE WHEN DATEADD(MONTH,DATEDIFF(MONTH,Newopendate,Closedate),Newopendate) > Closedate
THEN DATEDIFF(MONTH,Newopendate,Closedate) - 1
ELSE DATEDIFF(MONTH,Newopendate,Closedate)
END Months
FROM YDate
)
SELECT Opendate,Closedate,Years,Months,DATEDIFF(Day,DATEADD(MONTH,Months,Newopendate),Closedate) as days
FROM M
Result
Opendate Closedate Years Months days
09-07-2015 00:00 10-08-2016 00:00 1 1 1
09-07-2015 00:00 01-03-2016 00:00 0 7 21
09-07-2015 00:00 11-07-2015 00:00 0 0 2
SELECT opendate,
closedate,
( ( Datediff(year, opendate, closedate) + 'years' )+
(( Datediff(month, opendate, closedate) -
12 * Datediff(year, opendate, closedate)) + 'months') +
( Datediff(day, opendate, closedate) -
( Datediff(year, opendate, closedate) * 365 -
(Datediff(month, opendate, closedate) * 12) )) + 'days'
FROM dates
The logic is you concatenate the years and then deduct the no of months of a year. Similarly deduct for days as well
Create one function as Below
CREATE FUNCTION dbo.GetYearMonthDays
(
#FromDate DATETIME
)
RETURNS NVARCHAR(100)
AS
BEGIN
DECLARE #date datetime, #tmpdate datetime, #years int, #months int, #days int
SELECT #date =#FromDate
SELECT #tmpdate = #date
SELECT #years = DATEDIFF(yy, #tmpdate, GETDATE()) - CASE WHEN (MONTH(#date) > MONTH(GETDATE())) OR (MONTH(#date) = MONTH(GETDATE()) AND DAY(#date) > DAY(GETDATE())) THEN 1 ELSE 0 END
SELECT #tmpdate = DATEADD(yy, #years, #tmpdate)
SELECT #months = DATEDIFF(m, #tmpdate, GETDATE()) - CASE WHEN DAY(#date) > DAY(GETDATE()) THEN 1 ELSE 0 END
SELECT #tmpdate = DATEADD(m, #months, #tmpdate)
SELECT #days = DATEDIFF(d, #tmpdate, GETDATE())
RETURN CONVERT(varchar(10), #years) +' Years ' + CONVERT(varchar(10), #months) + ' Month ' + CONVERT(varchar(10), #days) + ' Days'
END
GO
And use is as below
SELECT opendate,
closedate,dbo.GetYearMonthDays(closedate)
FROM dates
This will give you what you wants.