I have a table for operators in which I want to calculate the time difference between two status (10-20) for the whole day .
Here I want the time difference between "ActivityStatus" 10 and 20.
we have total 3 bunch of 10-20 status in this pic. for last status there is no 20 status in this case it will take the last oa_createdDate (ie oa_id 230141).
My expected output for this operator is date diff between cl_id 230096 and 230102 , date diff between cl_id 230103 and 230107 , date diff between cl_id 230109 and cl_id 230141. Once I get these difference I want to sum all the date diff value to calculate busy time for that operator.
Thanks in advance .
I have a sneaking suspicion that the DateDiff() function is the function that you seek
http://www.w3schools.com/sql/func_datediff.asp
There's an easy way to do what I assume you want done with outer apply, like so:
select tmin.*, t.oa_CreateDate oa_CreateDate_20
, datediff(minute, tmin.oa_CreateDate, t.oa_CreateDate) DiffInMinutes
from testtable t
cross apply
(select top 1 *
from testtable tmin
where tmin.oa_CreateDate < t.oa_CreateDate and tmin.oa_OperatorId = t.oa_OperatorId
order by tmin.oa_CreateDate asc) tmin
where t.ActivityStatus = 20
and t.oa_CreateDate < (select min(oa_CreateDate) from testtable where ActivityStatus = 10 and oa_OperatorId = 1960)
and t.oa_OperatorId = 1960
union all
select t.*
, coalesce(a.oa_CreateDate,ma.MaxDate) oa_CreateDate_20
, datediff(minute, t.oa_CreateDate, coalesce(a.oa_CreateDate,ma.MaxDate)) DiffInMinutes
from testtable t
outer apply
(select top 1 a.oa_CreateDate
from testtable a
where a.oa_OperatorId = t.oa_OperatorId and a.ActivityStatus = 20
and t.oa_CreateDate < a.oa_CreateDate order by a.oa_CreateDate asc) a
outer apply
(select max(a2.oa_CreateDate) maxDate
from testtable a2
where a2.oa_OperatorId = t.oa_OperatorId
and t.oa_CreateDate < a2.oa_CreateDate) ma
where oa_OperatorId = 1960
and ActivityStatus = 10
order by oa_CreateDate asc, oa_CreateDate_20 asc
You can see the fiddle here.
But of course, you have to give us the format / accurracy for the datediff comparison. And this assumes you will always have both Status 10 AND 20, and that their timestamp ranges never overlap.
EDIT: Updated the answer based on your comment, check the new script and fiddle. Now the script fill find all Status 10 - 20 datediffs, and in case no Status 20 exists after the last 10, then the latest existing timestamp after that Status 10 will be used instead.
EDIT 2: Updated with your comment below. But at this point the script is getting rather ugly. Unfortunately I don't have the time to clean it up, so I ask that next time you post a question, please make it as clear cut and clean as possible, since there's a lot less effort involved to answer a question once instead of editing 3 different variations along the ride. :)
This should work anyhow, the new section before the UNION ALL in the script will return results only if there are any Status 20's without preceding 10's. Otherwise it'll return nothing, and move to the main portion of the script as before. Fiddle has been updated as well.
This is one way of doing it.
The first OUTER APPLY will retrieve the next row with a status of 20 that is after the current created datetime.
The second OUTER APPLY will retrieve the next row after the current created datetime where there is no status 20.
SELECT
o.*
, COALESCE(NextStatus.oa_CreateDate, NextStatusIsNull.oa_CreateDate) AS NextTimestamp
, COALESCE(NextStatus.ActivityStatus, NextStatusIsNull.ActivityStatus) AS NextStatus
, DATEDIFF(MINUTE, o.oa_CreateDate,
COALESCE(NextStatus.oa_CreateDate, NextStatusIsNull.oa_CreateDate))
AS DifferenceInMinutes
FROM
operators AS o
OUTER APPLY
(
SELECT TOP 1
oa_CreateDate
, ActivityStatus
FROM
operators
WHERE
ActivityStatus = 20
AND oa_CreateDate > o.oa_CreateDate
ORDER BY
oa_CreateDate
) AS NextStatus
OUTER APPLY
(
SELECT TOP 1
oa_CreateDate
, ActivityStatus
FROM
operators
WHERE
NextStatus.oa_CreateDate IS NULL
AND oa_CreateDate > o.oa_CreateDate
ORDER BY
oa_CreateDate
) AS NextStatusIsNull
WHERE
ActivityStatus = 10
I have used some different test data because you used a picture from which I was unable to cut and paste. This should be easy to convert to your table:
Note this should also work with the none-existing start and end dates,
Also note this was done without any joins to optimize performance.
Test table and data:
DECLARE #t table(ActivityStatus int, oa_createdate datetime, oa_operatorid int)
INSERT #t values
(30, '2015-07-23 08:20', 1960),(20, '2015-07-23 08:24', 1960),
(10, '2015-07-23 08:30', 1960),(20, '2015-07-23 08:40', 1960),
(10, '2015-07-23 08:50', 1960),(50, '2015-07-23 09:40', 1960)
Query:
;WITH cte as
(
SELECT
ActivityStatus,
oa_createdate,
oa_operatorid
FROM #t
WHERE ActivityStatus in (10,20)
UNION ALL
SELECT 20, max(oa_createdate), oa_operatorid
FROM #t
GROUP BY oa_operatorid
HAVING
max(case when ActivityStatus = 20 then oa_createdate end) <
max(case when ActivityStatus = 10 then oa_createdate end)
UNION ALL
SELECT 10, min(oa_createdate), oa_operatorid
FROM #t
GROUP BY oa_operatorid
HAVING
min(case when ActivityStatus = 20 then oa_createdate end) <
min(case when ActivityStatus = 10 then oa_createdate else '2999-01-01' end)
)
SELECT
cast(cast(sum(case when activitystatus = 10 then -1 else 1 end
* cast(oa_createdate as float)) as datetime) as time(0)) as difference_in_time,
oa_operatorid
FROM cte
GROUP BY oa_operatorid
Result:
difference_in_time oa_operatorid
01:04:00 1960
Data
create table #Table2 (oa_id int, oa_OperatorId int, ActivityStatus int, oa_CreateDate datetime)
insert into #Table2
values (1, 1960,10,'2015-08-10 10:55:12.317')
,(2, 1960,20,'2015-08-10 11:55:12.317')
,(3, 1960,30,'2015-08-10 14:55:12.317')
,(4, 1960,50,'2015-08-10 14:58:12.317')
,(5, 1960,10,'2015-08-10 15:55:12.317')
,(6, 1960,20,'2015-08-10 16:20:12.317')
,(7, 1960,10,'2015-08-10 16:30:12.317')
,(8, 1960,50,'2015-08-10 17:20:12.317')
Populate target table with the rows we are interested in
select oa_id,
oa_operatorid,
ActivityStatus,
oa_createDate,
rn = row_number() over (order by oa_id desc)
into #Table
from #Table2
where ActivityStatus in (10, 20)
insert #Table
select top 1
oa_id,
oa_operatorid,
ActivityStatus,
oa_createDate,
0
from #Table2
order by oa_id desc
select * into #Table10 from #Table where ActivityStatus = 10
select * into #Table20 from #Table where ActivityStatus = 20
union
select * from #Table where rn = 0 /*add the last record*/
except
select * from #Table where rn = (select max(rn) from #Table) /**discard the first "20" record*/
/*free time info*/
select datediff(second, t10.oa_createDate, t20.oa_createDate) secondssincelast10,
t20.*
from #Table10 t10 join #Table20 t20
on t10.rn = t20.rn + 1
and t10.oa_OperatorId = t20.oa_OperatorId
/*Summarized info per operator*/
select sum(datediff(second, t10.oa_createDate, t20.oa_createDate)) totalbusytime,
t20.oa_OperatorId
from #Table10 t10 join #Table20 t20
on t10.rn = t20.rn + 1
and t10.oa_OperatorId = t20.oa_OperatorId
group by t20.oa_OperatorId
Best way
DATEDIFF(expr1,expr2)
Example:
CREATE TABLE pins
(`id` int, `time` datetime)
;
INSERT INTO pins
(`id`, `time`)
VALUES
(1, '2013-11-15 05:25:25')
;
SELECT DATEDIFF(CURDATE(), `time`)
FROM `pins`
Related
We have appointment table as shown below. Each appointment need to be categorized as "New" or "Followup". Any appointment (for a patient) within 30 days of first appointment (of that patient) is Followup. After 30 days, appointment is again "New". Any appointment within 30 days become "Followup".
I am currently doing this by typing while loop.
How to achieve this without WHILE loop?
Table
CREATE TABLE #Appt1 (ApptID INT, PatientID INT, ApptDate DATE)
INSERT INTO #Appt1
SELECT 1,101,'2020-01-05' UNION
SELECT 2,505,'2020-01-06' UNION
SELECT 3,505,'2020-01-10' UNION
SELECT 4,505,'2020-01-20' UNION
SELECT 5,101,'2020-01-25' UNION
SELECT 6,101,'2020-02-12' UNION
SELECT 7,101,'2020-02-20' UNION
SELECT 8,101,'2020-03-30' UNION
SELECT 9,303,'2020-01-28' UNION
SELECT 10,303,'2020-02-02'
You need to use recursive query.
The 30days period is counted starting from prev(and no it is not possible to do it without recursion/quirky update/loop). That is why all the existing answer using only ROW_NUMBER failed.
WITH f AS (
SELECT *, rn = ROW_NUMBER() OVER(PARTITION BY PatientId ORDER BY ApptDate)
FROM Appt1
), rec AS (
SELECT Category = CAST('New' AS NVARCHAR(20)), ApptId, PatientId, ApptDate, rn, startDate = ApptDate
FROM f
WHERE rn = 1
UNION ALL
SELECT CAST(CASE WHEN DATEDIFF(DAY, rec.startDate,f.ApptDate) <= 30 THEN N'FollowUp' ELSE N'New' END AS NVARCHAR(20)),
f.ApptId,f.PatientId,f.ApptDate, f.rn,
CASE WHEN DATEDIFF(DAY, rec.startDate, f.ApptDate) <= 30 THEN rec.startDate ELSE f.ApptDate END
FROM rec
JOIN f
ON rec.rn = f.rn - 1
AND rec.PatientId = f.PatientId
)
SELECT ApptId, PatientId, ApptDate, Category
FROM rec
ORDER BY PatientId, ApptDate;
db<>fiddle demo
Output:
+---------+------------+-------------+----------+
| ApptId | PatientId | ApptDate | Category |
+---------+------------+-------------+----------+
| 1 | 101 | 2020-01-05 | New |
| 5 | 101 | 2020-01-25 | FollowUp |
| 6 | 101 | 2020-02-12 | New |
| 7 | 101 | 2020-02-20 | FollowUp |
| 8 | 101 | 2020-03-30 | New |
| 9 | 303 | 2020-01-28 | New |
| 10 | 303 | 2020-02-02 | FollowUp |
| 2 | 505 | 2020-01-06 | New |
| 3 | 505 | 2020-01-10 | FollowUp |
| 4 | 505 | 2020-01-20 | FollowUp |
+---------+------------+-------------+----------+
How it works:
f - get starting point(anchor - per every PatientId)
rec - recursibe part, if the difference between current value and prev is > 30 change the category and starting point, in context of PatientId
Main - display sorted resultset
Similar class:
Conditional SUM on Oracle - Capping a windowed function
Session window (Azure Stream Analytics)
Running Total until specific condition is true - Quirky update
Addendum
Do not ever use this code on production!
But another option, that is worth mentioning besides using cte, is to use temp table and update in "rounds"
It could be done in "single" round(quirky update):
CREATE TABLE Appt_temp (ApptID INT , PatientID INT, ApptDate DATE, Category NVARCHAR(10))
INSERT INTO Appt_temp(ApptId, PatientId, ApptDate)
SELECT ApptId, PatientId, ApptDate
FROM Appt1;
CREATE CLUSTERED INDEX Idx_appt ON Appt_temp(PatientID, ApptDate);
Query:
DECLARE #PatientId INT = 0,
#PrevPatientId INT,
#FirstApptDate DATE = NULL;
UPDATE Appt_temp
SET #PrevPatientId = #PatientId
,#PatientId = PatientID
,#FirstApptDate = CASE WHEN #PrevPatientId <> #PatientId THEN ApptDate
WHEN DATEDIFF(DAY, #FirstApptDate, ApptDate)>30 THEN ApptDate
ELSE #FirstApptDate
END
,Category = CASE WHEN #PrevPatientId <> #PatientId THEN 'New'
WHEN #FirstApptDate = ApptDate THEN 'New'
ELSE 'FollowUp'
END
FROM Appt_temp WITH(INDEX(Idx_appt))
OPTION (MAXDOP 1);
SELECT * FROM Appt_temp ORDER BY PatientId, ApptDate;
db<>fiddle Quirky update
You could do this with a recursive cte. You should first order by apptDate within each patient. That can be accomplished by a run-of-the-mill cte.
Then, in the anchor portion of your recursive cte, select the first ordering for each patient, mark the status as 'new', and also mark the apptDate as the date of the most recent 'new' record.
In the recursive portion of your recursive cte, increment to the next appointment, calculate the difference in days between the present appointment and the most recent 'new' appointment date. If it's greater than 30 days, mark it 'new' and reset the most recent new appointment date. Otherwise mark it as 'follow up' and just pass along the existing days since new appointment date.
Finallly, in the base query, just select the columns you want.
with orderings as (
select *,
rn = row_number() over(
partition by patientId
order by apptDate
)
from #appt1 a
),
markings as (
select apptId,
patientId,
apptDate,
rn,
type = convert(varchar(10),'new'),
dateOfNew = apptDate
from orderings
where rn = 1
union all
select o.apptId, o.patientId, o.apptDate, o.rn,
type = convert(varchar(10),iif(ap.daysSinceNew > 30, 'new', 'follow up')),
dateOfNew = iif(ap.daysSinceNew > 30, o.apptDate, m.dateOfNew)
from markings m
join orderings o
on m.patientId = o.patientId
and m.rn + 1 = o.rn
cross apply (select daysSinceNew = datediff(day, m.dateOfNew, o.apptDate)) ap
)
select apptId, patientId, apptDate, type
from markings
order by patientId, rn;
I should mention that I initially deleted this answer because Abhijeet Khandagale's answer seemed to meet your needs with a simpler query (after reworking it a bit). But with your comment to him about your business requirement and your added sample data, I undeleted mine because believe this one meets your needs.
I'm not sure that it's exactly what you implemented. But another option, that is worth mentioning besides using cte, is to use temp table and update in "rounds". So we are going to update temp table while all statuses are not set correctly and build result in an iterative way. We can control number of iteration using simply local variable.
So we split each iteration into two stages.
Set all Followup values that are near to New records. That's pretty easy to do just using right filter.
For the rest of the records that dont have status set we can select first in group with same PatientID. And say that they are new since they not processed by the first stage.
So
CREATE TABLE #Appt2 (ApptID INT, PatientID INT, ApptDate DATE, AppStatus nvarchar(100))
select * from #Appt1
insert into #Appt2 (ApptID, PatientID, ApptDate, AppStatus)
select a1.ApptID, a1.PatientID, a1.ApptDate, null from #Appt1 a1
declare #limit int = 0;
while (exists(select * from #Appt2 where AppStatus IS NULL) and #limit < 1000)
begin
set #limit = #limit+1;
update a2
set
a2.AppStatus = IIF(exists(
select *
from #Appt2 a
where
0 > DATEDIFF(day, a2.ApptDate, a.ApptDate)
and DATEDIFF(day, a2.ApptDate, a.ApptDate) > -30
and a.ApptID != a2.ApptID
and a.PatientID = a2.PatientID
and a.AppStatus = 'New'
), 'Followup', a2.AppStatus)
from #Appt2 a2
--select * from #Appt2
update a2
set a2.AppStatus = 'New'
from #Appt2 a2 join (select a.*, ROW_NUMBER() over (Partition By PatientId order by ApptId) rn from (select * from #Appt2 where AppStatus IS NULL) a) ar
on a2.ApptID = ar.ApptID
and ar.rn = 1
--select * from #Appt2
end
select * from #Appt2 order by PatientID, ApptDate
drop table #Appt1
drop table #Appt2
Update. Read the comment provided by Lukasz. It's by far smarter way. I leave my answer just as an idea.
I believe the recursive common expression is great way to optimize queries avoiding loops, but in some cases it can lead to bad performance and should be avoided if possible.
I use the code below to solve the issue and test it will more values, but encourage you to test it with your real data, too.
WITH DataSource AS
(
SELECT *
,CEILING(DATEDIFF(DAY, MIN([ApptDate]) OVER (PARTITION BY [PatientID]), [ApptDate]) * 1.0 / 30 + 0.000001) AS [GroupID]
FROM #Appt1
)
SELECT *
,IIF(ROW_NUMBER() OVER (PARTITION BY [PatientID], [GroupID] ORDER BY [ApptDate]) = 1, 'New', 'Followup')
FROM DataSource
ORDER BY [PatientID]
,[ApptDate];
The idea is pretty simple - I want separate the records in group (30 days), in which group the smallest record is new, the others are follow ups. Check how the statement is built:
SELECT *
,DATEDIFF(DAY, MIN([ApptDate]) OVER (PARTITION BY [PatientID]), [ApptDate])
,DATEDIFF(DAY, MIN([ApptDate]) OVER (PARTITION BY [PatientID]), [ApptDate]) * 1.0 / 30
,CEILING(DATEDIFF(DAY, MIN([ApptDate]) OVER (PARTITION BY [PatientID]), [ApptDate]) * 1.0 / 30 + 0.000001)
FROM #Appt1
ORDER BY [PatientID]
,[ApptDate];
So:
first, we are getting the first date, for each group and calculating the differences in days with the current one
then, we are want to get groups - * 1.0 / 30 is added
as for 30, 60, 90, etc days we are getting whole number and we wanted to start a new period, I have added + 0.000001; also, we are using ceiling function to get the smallest integer greater than, or equal to, the specified numeric expression
That's it. Having such group we simply use ROW_NUMBER to find our start date and make it as new and leaving the rest as follow ups.
With due respect to everybody and in IMHO,
There is not much difference between While LOOP and Recursive CTE in terms of RBAR
There is not much performance gain when using Recursive CTE and Window Partition function all in one.
Appid should be int identity(1,1) , or it should be ever increasing clustered index.
Apart from other benefit it also ensure that all successive row APPDate of that patient must be greater.
This way you can easily play with APPID in your query which will be more efficient than putting inequality operator like >,< in APPDate.
Putting inequality operator like >,< in APPID will aid Sql Optimizer.
Also there should be two date column in table like
APPDateTime datetime2(0) not null,
Appdate date not null
As these are most important columns in most important table,so not much cast ,convert.
So Non clustered index can be created on Appdate
Create NonClustered index ix_PID_AppDate_App on APP (patientid,APPDate) include(other column which is not i predicate except APPID)
Test my script with other sample data and lemme know for which sample data it not working.
Even if it do not work then I am sure it can be fix in my script logic itself.
CREATE TABLE #Appt1 (ApptID INT, PatientID INT, ApptDate DATE)
INSERT INTO #Appt1
SELECT 1,101,'2020-01-05' UNION ALL
SELECT 2,505,'2020-01-06' UNION ALL
SELECT 3,505,'2020-01-10' UNION ALL
SELECT 4,505,'2020-01-20' UNION ALL
SELECT 5,101,'2020-01-25' UNION ALL
SELECT 6,101,'2020-02-12' UNION ALL
SELECT 7,101,'2020-02-20' UNION ALL
SELECT 8,101,'2020-03-30' UNION ALL
SELECT 9,303,'2020-01-28' UNION ALL
SELECT 10,303,'2020-02-02'
;With CTE as
(
select a1.* ,a2.ApptDate as NewApptDate
from #Appt1 a1
outer apply(select top 1 a2.ApptID ,a2.ApptDate
from #Appt1 A2
where a1.PatientID=a2.PatientID and a1.ApptID>a2.ApptID
and DATEDIFF(day,a2.ApptDate, a1.ApptDate)>30
order by a2.ApptID desc )A2
)
,CTE1 as
(
select a1.*, a2.ApptDate as FollowApptDate
from CTE A1
outer apply(select top 1 a2.ApptID ,a2.ApptDate
from #Appt1 A2
where a1.PatientID=a2.PatientID and a1.ApptID>a2.ApptID
and DATEDIFF(day,a2.ApptDate, a1.ApptDate)<=30
order by a2.ApptID desc )A2
)
select *
,case when FollowApptDate is null then 'New'
when NewApptDate is not null and FollowApptDate is not null
and DATEDIFF(day,NewApptDate, FollowApptDate)<=30 then 'New'
else 'Followup' end
as Category
from cte1 a1
order by a1.PatientID
drop table #Appt1
Although it's not clearly addressed in the question, it's easy to figure out that the appointment dates cannot be simply categorized by 30-day groups. It makes no business sense. And you cannot use the appt id either. One can make a new appointment today for 2020-09-06.
Here is how I address this issue. First, get the first appointment, then calculate the date difference between each appointment and the first appt. If it's 0, set to 'New'. If <= 30 'Followup'. If > 30, set as 'Undecided' and do the next round check until there is no more 'Undecided'. And for that, you really need a while loop, but it does not loop through each appointment date, rather only a few datasets. I checked the execution plan. Even though there are only 10 rows, the query cost is significantly lower than that using recursive CTE, but not as low as Lukasz Szozda's addendum method.
IF OBJECT_ID('tempdb..#TEMPTABLE') IS NOT NULL DROP TABLE #TEMPTABLE
SELECT ApptID, PatientID, ApptDate
,CASE WHEN (DATEDIFF(DAY, MIN(ApptDate) OVER (PARTITION BY PatientID), ApptDate) = 0) THEN 'New'
WHEN (DATEDIFF(DAY, MIN(ApptDate) OVER (PARTITION BY PatientID), ApptDate) <= 30) THEN 'Followup'
ELSE 'Undecided' END AS Category
INTO #TEMPTABLE
FROM #Appt1
WHILE EXISTS(SELECT TOP 1 * FROM #TEMPTABLE WHERE Category = 'Undecided') BEGIN
;WITH CTE AS (
SELECT ApptID, PatientID, ApptDate
,CASE WHEN (DATEDIFF(DAY, MIN(ApptDate) OVER (PARTITION BY PatientID), ApptDate) = 0) THEN 'New'
WHEN (DATEDIFF(DAY, MIN(ApptDate) OVER (PARTITION BY PatientID), ApptDate) <= 30) THEN 'Followup'
ELSE 'Undecided' END AS Category
FROM #TEMPTABLE
WHERE Category = 'Undecided'
)
UPDATE #TEMPTABLE
SET Category = CTE.Category
FROM #TEMPTABLE t
LEFT JOIN CTE ON CTE.ApptID = t.ApptID
WHERE t.Category = 'Undecided'
END
SELECT ApptID, PatientID, ApptDate, Category
FROM #TEMPTABLE
I hope this will help you.
WITH CTE AS
(
SELECT #Appt1.*, RowNum = ROW_NUMBER() OVER (PARTITION BY PatientID ORDER BY ApptDate, ApptID) FROM #Appt1
)
SELECT A.ApptID , A.PatientID , A.ApptDate ,
Expected_Category = CASE WHEN (DATEDIFF(MONTH, B.ApptDate, A.ApptDate) > 0) THEN 'New'
WHEN (DATEDIFF(DAY, B.ApptDate, A.ApptDate) <= 30) then 'Followup'
ELSE 'New' END
FROM CTE A
LEFT OUTER JOIN CTE B on A.PatientID = B.PatientID
AND A.rownum = B.rownum + 1
ORDER BY A.PatientID, A.ApptDate
You could use a Case statement.
select
*,
CASE
WHEN DATEDIFF(d,A1.ApptDate,A2.ApptDate)>30 THEN 'New'
ELSE 'FollowUp'
END 'Category'
from
(SELECT PatientId, MIN(ApptId) 'ApptId', MIN(ApptDate) 'ApptDate' FROM #Appt1 GROUP BY PatientID) A1,
#Appt1 A2
where
A1.PatientID=A2.PatientID AND A1.ApptID<A2.ApptID
The question is, should this category be assigned based off the initial appointment, or the one prior? That is, if a Patient has had three appointments, should we compare the third appointment to the first, or the second?
You problem states the first, which is how I've answered. If that's not the case, you'll want to use lag.
Also, keep in mind that DateDiff makes not exception for weekends. If this should be weekdays only, you'll need to create your own Scalar-Valued function.
using Lag function
select apptID, PatientID , Apptdate ,
case when date_diff IS NULL THEN 'NEW'
when date_diff < 30 and (date_diff_2 IS NULL or date_diff_2 < 30) THEN 'Follow Up'
ELSE 'NEW'
END AS STATUS FROM
(
select
apptID, PatientID , Apptdate ,
DATEDIFF (day,lag(Apptdate) over (PARTITION BY PatientID order by ApptID asc),Apptdate) date_diff ,
DATEDIFF(day,lag(Apptdate,2) over (PARTITION BY PatientID order by ApptID asc),Apptdate) date_diff_2
from #Appt1
) SRC
Demo --> https://rextester.com/TNW43808
with cte
as
(
select
tmp.*,
IsNull(Lag(ApptDate) Over (partition by PatientID Order by PatientID,ApptDate),ApptDate) PriorApptDate
from #Appt1 tmp
)
select
PatientID,
ApptDate,
PriorApptDate,
DateDiff(d,PriorApptDate,ApptDate) Elapsed,
Case when DateDiff(d,PriorApptDate,ApptDate)>30
or DateDiff(d,PriorApptDate,ApptDate)=0 then 'New' else 'Followup' end Category from cte
Mine is correct. The authors was incorrect, see elapsed
I have table rows like this.
status start end
32 1/1/2017 1/2/2017
32 1/2/2017 4/2/2017
1 4/2/2017 6/3/2017
1 6/3/2017 9/5/2017
32 9/5/2017 19/5/2017
32 19/5/2017 22/6/2017
And I wanna group rows to
status start end
32 1/1/2017 4/2/2017
1 4/2/2017 9/5/2017
32 9/5/2017 22/6/2017
How can I do using SQL?
thank you for all help.
I don't think you can easily do this one in one step. Maybe if you resort to some ugly recursive CTE or a very long chain of CTEs or nested sub-queries. Basically you need to reconfigure your dataset so you can tell the beginning and end of a period.
Assumptions:
Any gap means a period is ending and a new period is beginning
There are no overlapping periods. (i.e. 1 (1/7 - 1/12), 1 (1/10 - 1/20) )
I'm going to go with SQL-Server syntax because it's what I'm most comfortable with, but these operations should be something you could do in most sql environments with a little modification. (I'm using a temp table and CTE's, but you could use sub-queries)
create table dbo.[Status] (
[status] int,
[start] date,
[end] date
)
insert into dbo.[Status] ([status], [start], [end])
values
(32, '20170101', '20170201'),
(32, '20170201', '20170204'),
(1, '20170204', '20170306'),
(1, '20170306', '20170509'),
(32, '20170509', '20170519'),
(32, '20170519', '20170622')
create table dbo.Result (
PeriodID int identity, -- to make grouping and self-referential joins easier
Status int,
start date,
next_start date null,
[end] date null
)
select * from dbo.[Status]
-- This will get you all the periods and their start dates
;with cteExcludeTheseRows(status, start) as (
-- These are the records where the Start date matches an end date for the same status group. As a result these aren't real periods, just extensions.
select S.status, S.start
from [Status] S
join [Status] Prior on S.Status = Prior.status and S.start = Prior.[end]
)
insert into dbo.Result (status, start)
select
S.status,
S.start
from [Status] S
left join cteExcludetheserows Exclude on S.status = Exclude.status and S.start = Exclude.start
where Exclude.status is null
-- Reference the temp table to get the next start period for your status groups, that way you know that the end date for that period has to be less then that date
;with cteNextStart (PeriodID, next_start) as (
select
R.PeriodID,
next_start = min(next.start)
from dbo.Result R
join dbo.Result next on R.status = next.status and r.start < next.start
group by R.PeriodID
)
update R
set R.next_start = next.next_start
from dbo.Result R
join cteNextStart next on R.PeriodID = next.PeriodID
-- Now get the end date for each period by looking back at your main status table
;with cteEnd (PeriodID, [end]) as (
select
R.PeriodID,
[end] = max(s.[end])
from dbo.Result R
join [Status] S on R.status = s.status and S.[end] between R.start and isnull(R.next_start, '99991231')
group by R.PeriodID
)
update R
set R.[end] = [end].[end]
from dbo.Result R
join cteEnd [end] on R.PeriodID = [end].PeriodID
-- And finally, here you have your result set
select
status,
start,
[end]
from dbo.Result
order by start, status
drop table dbo.[Status]
drop table dbo.Result
see also
demo
SELECT * FROM aaa a
where a.sstatus != (select top 1 b.sstatus from aaa b
where b.start_date < a.start_date
order by b.start_date desc);
you may try this:
CREATE TABLE #STATUS
(
[STATUS] INT,
[START] DATE,
[END] DATE
)
INSERT INTO #STATUS
(
[STATUS], [START], [END]
)
VALUES
(32, '20170101', '20170201'),
(32, '20170201', '20170204'),
(1, '20170204', '20170306'),
(1, '20170306', '20170509'),
(32, '20170509', '20170519'),
(32, '20170519', '20170622')
SELECT
A.STATUS
,A.[START]
,B.[END]
FROM #STATUS A
LEFT JOIN #STATUS B
ON A.[STATUS]=B.[STATUS]
AND A.[END]=B.[START]
WHERE B.STATUS IS NOT NULL
I have a table in which there are two columns StartTime and EndTime. Values are filled in it as:
declare #tbl Table(
colA VARCHAR(50),
colS VARCHAR(50),
DATES DATE,
STARTTIME TIME,
ENDTIME TIME,
ID BIGINT NOT NULL IDENTITY(1,1)
)
INSERT INTO #tbl
SELECT 'A','S',convert(date,'2015-09-21'),convert(TIME,'12:45'),convert(TIME,'13:30')
UNION ALL
SELECT 'A','S',convert(date,'2015-09-21'),convert(TIME,'13:15'),convert(TIME,'13:45')
UNION ALL
SELECT 'A','S',convert(date,'2015-09-21'),convert(TIME,'13:30'),convert(TIME,'16:50')
UNION ALL
SELECT 'A','S',convert(date,'2015-09-21'),convert(TIME,'13:15'),convert(TIME,'13:50')
Hence, I want to check whether StartTime and EndTime in all rows of this table covers the whole time period between Minimum StartTime and Maximum EndTime of this table.
Hence from these rows, it is clear that it is true. However for the following set of rows, it wont be true because of time gap in them. So I just want True or False as the result.
INSERT INTO #tbl
SELECT 'A','S',convert(date,'2015-09-21'),convert(TIME,'08:45'),convert(TIME,'09:15')
UNION ALL
SELECT 'A','S',convert(date,'2015-09-21'),convert(TIME,'11:10'),convert(TIME,'11:25')
I have managed to complete all other tasks and this is the end result of them. This is the final task and I am completely clueless how to do it. Any help would be appreciated.
Generally intervals may be of any length, so comparing adjacent rows is far from complete solution. Besides Itzik Ben-Gan's Packing Intervals solution cited in above comment another complete solution is to check every minute (or other granualarity).
select uncoverdMinutes=count(*) -- 0 is true
from(
select colA, colS, t.m
from (
select colA, colS
, mst = min(starttime)
, cnt = datediff(minute, min(starttime), max(endtime)) + 1
from #tbl
group by colA, colS
) prm
cross apply (
select top(prm.cnt)
m = dateadd(minute
,row_number() over(order by (select null)) - 1
,prm.mst)
from sys.all_objects -- use tally table instead, if you have one
) t
) mi
where not exists (
select 1
from #tbl t
where mi.m between t.starttime and t.endtime)
-- The last column will be 1 with your first example data and 0 with your second.
SELECT t.*,
CASE WHEN t.ENDTIME < m.MaxStartTime THEN 0
WHEN t.STARTTIME > m.MinEndTime THEN 0
ELSE 1 END AS Covered
FROM #tbl AS t
JOIN
(SELECT DATES,
MIN(ENDTIME) MinEndTime,
MAX(STARTTIME) MaxStartTime
FROM #tbl
GROUP BY DATES) AS m
ON t.DATES = m.DATES
try
;with a as (select *,row_number() over (order by DATES,starttime) rn from #tbl)
select a.*,
case when isnull(b.endtime,a.endtime)>=a.STARTTIME then 'true' else 'false' end
from a left join a b on a.rn=b.rn+1
If there is enough to check if next row's time interval is crossing with the next row interval then OUTER APPLY should do things for you:
SELECT t.*,
CASE WHEN t.ENDTIME between p.STARTTIME and p.ENDTIME OR p.ENDTIME IS NULL THEN 'TRUE' ELSE 'FALSE' END as Seq
FROM #tbl t
OUTER APPLY (
SELECT TOP 1 *
FROM #tbl
WHERE t.STARTTIME < STARTTIME and t.colA = colA and t.colS = colS and t.DATES = DATES
ORDER BY STARTTIME ASC) p
ORDER BY t.STARTTIME
Output for given data:
colA colS DATES STARTTIME ENDTIME ID Seq
A S 2015-09-21 08:45:00.0000000 09:15:00.0000000 5 FALSE
A S 2015-09-21 11:10:00.0000000 11:25:00.0000000 6 FALSE
A S 2015-09-21 12:45:00.0000000 13:30:00.0000000 1 TRUE
A S 2015-09-21 13:15:00.0000000 13:45:00.0000000 2 TRUE
A S 2015-09-21 13:15:00.0000000 13:50:00.0000000 4 TRUE
A S 2015-09-21 13:30:00.0000000 16:50:00.0000000 3 TRUE
I have attendance data list which is showing below. Now I am trying to find data by a specific date range (01/05/2016 ā 07/05/2016) with total Present Column, Total Present Column will be calculated from previous present data (P). Suppose today is 04/05/2016. If a person has 01,02,03,04 status āpā then it will show date 04-05-2016 total present 4.
Could you help me to find total present from this result set.
You can check this example, which have logic to calculate previous sum value.
declare #t table (employeeid int, datecol date, status varchar(2) )
insert into #t values (10001, '01-05-2016', 'P'),
(10001, '02-05-2016', 'P'),
(10001, '03-05-2016', 'P'),
(10001, '04-05-2016', 'P'),
(10001, '05-05-2016', 'A'),
(10001, '06-05-2016', 'P'),
(10001, '07-05-2016', 'P'),
(10001, '08-05-2016', 'L'),
(10002, '07-05-2016', 'P'),
(10002, '08-05-2016', 'L')
--select * from #t
select * ,
SUM(case when status = 'P' then 1 else 0 end) OVER (PARTITION BY employeeid ORDER BY employeeid, datecol
ROWS BETWEEN UNBOUNDED PRECEDING
AND current row)
from
#t
Another twist of the same thing via cte (as you written SQLSERVER2012, this below solution only work in Sqlserver 2012 and above)
;with cte as
(
select employeeid , datecol , ROW_NUMBER() over(partition by employeeid order by employeeid, datecol) rowno
from
#t where status = 'P'
)
select t.*, cte.rowno ,
case when ( isnull(cte.rowno, 0) = 0)
then LAG(cte.rowno) OVER (ORDER BY t.employeeid, t.datecol)
else cte.rowno
end LagValue
from #t t left join cte on t.employeeid = cte.employeeid and t.datecol = cte.datecol
order by t.employeeid, t.datecol
You could use a subquery to calculate TotalPresent for each row:
SELECT
main.EmployeeID,
main.[Date],
main.[Status],
(
SELECT SUM(CASE WHEN t.[Status] = 'P' THEN 1 ELSE 0 END)
FROM [TableName] t
WHERE t.EmployeeID = main.EmployeeID AND t.[Date] <= main.[Date]
) as TotalPresent
FROM [TableName] main
ORDER BY
main.EmployeeID,
main.[Date]
Here I used subquery to count the sum of records that have the same EmployeeID and date is less or equal to the date of current row. If status of the record is 'P', then 1 is added to the sum, otherwise 0, which counts only records that have status P.
Interesting question, this should work:
select *
, (select count(retail) from p g
where g.date <= p.date and g.id = p.id and retail = 'P')
from p
order by ID, Date;
So I believe I understand correctly. You would like to count the occurences of P per ID datewise.
This makes a lot of sense. That is why the first occurrence of ID2 was L and the Total is 0. This query will count P status for each occurrence, pause at non-P for each ID.
Here is an example
I have a simplified table called Bookings that has two columns BookDate and BookSlot. The BookDate column will have dates only (no time) and the BookSlot column will contain the time of the day in intervals of 30 minutes from 0 to 1410 inclusive. (i.e. 600 = 10:00am)
How can I find the first slot available in the future (not booked) without running through a loop?
Here is the table definition and test data:
Create Table Bookings(
BookDate DateTime Not Null,
BookSlot Int Not Null
)
Go
Insert Into Bookings(BookDate,BookSlot) Values('2014-07-01',0);
Insert Into Bookings(BookDate,BookSlot) Values('2014-07-01',30);
Insert Into Bookings(BookDate,BookSlot) Values('2014-07-01',60);
Insert Into Bookings(BookDate,BookSlot) Values('2014-07-01',630);
Insert Into Bookings(BookDate,BookSlot) Values('2014-07-02',60);
Insert Into Bookings(BookDate,BookSlot) Values('2014-07-02',90);
Insert Into Bookings(BookDate,BookSlot) Values('2014-07-02',120);
I want a way to return the first available slot that is not in the table and that is in the future (based on server time).
Based on above test data:
If the current server time was 1st Jul, 00:10am, the result should be 1st Jul, 90min (01:30am).
If the current server time was 2nd Jul, 01:05am, the result should be 2nd Jul, 150min (02:30am).
If there are no bookings in the future, the function would simply return the closest half-hour in the future.
--
SQL Fiddle for this is here:
http://sqlfiddle.com/#!6/0e93d/1
Below is one method that will allow bookings up to 256 days in the future, and allow for an empty Booking table. I assume you are using SQL Server 2005 since your BookDate is dateTime instead of date.
In any case, you might consider storing the slots as a complete datetime instead of separate columns. That will facilitate queries and improve performance.
DECLARE #now DATETIME = '2014-07-01 00:10:00';
WITH T4
AS (SELECT N
FROM (VALUES(0),
(0),
(0),
(0),
(0),
(0),
(0),
(0)) AS t(N)),
T256
AS (SELECT Row_number()
OVER(
ORDER BY (SELECT 0)) - 1 AS n
FROM T4 AS a
CROSS JOIN T4 AS b
CROSS JOIN T4 AS c),
START_DATE
AS (SELECT Dateadd(DAY, Datediff(DAY, '', #now), '') AS start_date),
START_TIME
AS (SELECT Dateadd(MINUTE, Datediff(MINUTE, '', #now) / 30 * 30, '') AS
start_time),
DAILY_INTERVALS
AS (SELECT N * 30 AS interval
FROM T256
WHERE N < 48)
SELECT TOP (1) Dateadd(DAY, future_days.N, START_DATE) AS BookDate,
DAILY_INTERVALS.INTERVAL AS BookSlot
FROM START_DATE
CROSS APPLY START_TIME
CROSS APPLY DAILY_INTERVALS
CROSS APPLY T256 AS future_days
WHERE Dateadd(MINUTE, DAILY_INTERVALS.INTERVAL,
Dateadd(DAY, future_days.N, START_DATE)) > START_TIME
AND NOT EXISTS(SELECT *
FROM DBO.BOOKINGS
WHERE BOOKDATE = START_DATE
AND BOOKSLOT = DAILY_INTERVALS.INTERVAL)
ORDER BY BOOKDATE,
BOOKSLOT;
See this SQL Fiddle
It's a bit complicated but try this:
WITH DATA
AS (SELECT *,
Row_number()
OVER (
ORDER BY BOOKDATE, BOOKSLOT) RN
FROM BOOKINGS)
SELECT CASE
WHEN T.BOOKSLOT = 1410 THEN Dateadd(DAY, 1, BOOKDATE)
ELSE BOOKDATE
END Book_Date,
CASE
WHEN T.BOOKSLOT = 1410 THEN 0
ELSE BOOKSLOT + 30
END Book_Slot
FROM (SELECT TOP 1 T1.*
FROM DATA T1
LEFT JOIN DATA t2
ON t1.RN = T2.RN - 1
WHERE t2.BOOKSLOT - t1.BOOKSLOT > 30
OR ( t1.BOOKDATE != T2.BOOKDATE
AND ( t2.BOOKSLOT != 0
OR t1.BOOKSLOT != 630 ) )
OR t2.BOOKSLOT IS NULL)T
Here is the SQL fiddle example.
Explanation
This solution contains 2 parts:
Comparing each line to the next and checking for a gap (can be done easier in SQL 2012)
Adding a half an hour to create the next slot, this includes moving to the next day if needed.
Edit
Added TOP 1 in the query so that only the first slot is returned as requested.
Update
Here is the updated version including 2 new elements (getting current date+ time and dealing with empty table):
DECLARE #Date DATETIME = '2014-07-01',
#Slot INT = 630
DECLARE #time AS TIME = Cast(Getdate() AS TIME)
SELECT #Slot = Datepart(HOUR, #time) * 60 + Round(Datepart(MINUTE, #time) / 30,
0) * 30
+ 30
SET #Date = Cast(Getdate() AS DATE)
;WITH DATA
AS (SELECT *,
Row_number()
OVER (
ORDER BY BOOKDATE, BOOKSLOT) RN
FROM BOOKINGS
WHERE BOOKDATE > #Date
OR ( BOOKDATE = #Date
AND BOOKSLOT >= #Slot ))
SELECT TOP 1 BOOK_DATE,
BOOK_SLOT
FROM (SELECT CASE
WHEN RN = 1
AND NOT (#slot = BOOKSLOT
AND #Date = BOOKDATE) THEN #Date
WHEN T.BOOKSLOT = 1410 THEN Dateadd(DAY, 1, BOOKDATE)
ELSE BOOKDATE
END Book_Date,
CASE
WHEN RN = 1
AND NOT (#slot = BOOKSLOT
AND #Date = BOOKDATE) THEN #Slot
WHEN T.BOOKSLOT = 1410 THEN 0
ELSE BOOKSLOT + 30
END Book_Slot,
1 AS ID
FROM (SELECT TOP 1 T1.*
FROM DATA T1
LEFT JOIN DATA t2
ON t1.RN = T2.RN - 1
WHERE t2.BOOKSLOT - t1.BOOKSLOT > 30
OR ( t1.BOOKDATE != T2.BOOKDATE
AND ( t2.BOOKSLOT != 0
OR t1.BOOKSLOT != 1410 ) )
OR t2.BOOKSLOT IS NULL)T
UNION
SELECT #date AS bookDate,
#slot AS BookSlot,
2 ID)X
ORDER BY X.ID
Play around with the SQL fiddle and let me know what you think.
In SQL Server 2012 and later, you can use the lead() function. The logic is a bit convoluted because of all the boundary conditions. I think this captures it:
select top 1
(case when BookSlot = 1410 then BookDate else BookDate + 1 end) as BookDate,
(case when BookSlot = 1410 then 0 else BookSlot + 30 end) as BookSlot
from (select b.*,
lead(BookDate) over (order by BookDate) as next_dt,
lead(BookSlot) over (partition by BookDate order by BookSlot) as next_bs
from bookings b
) b
where (next_bs is null and BookSlot < 1410 or
next_bs - BookSlot > 30 or
BookSlot = 1410 and (next_dt <> BookDate + 1 or next_dt = BookDate and next_bs <> 0)
)
order by BookDate, BookSlot;
Using a tally table to generate a list of originally available booking slots out 6 weeks (adjustable below):
declare #Date as date = getdate();
declare #slot as int = 30 * (datediff(n,#Date,getdate()) /30);
with
slots as (
select (ROW_NUMBER() over (order by s)-1) * 30 as BookSlot
from(
values (1),(1),(1),(1),(1),(1),(1),(1) -- 4 hour block
)slots(s)
cross join (
values (1),(1),(1),(1),(1),(1) -- 6 blocks of 4 hours each day
)QuadHours(t)
)
,days as (
select (ROW_NUMBER() over (order by s)-1) + getdate() as BookDate
from (
values (1),(1),(1),(1),(1),(1),(1) -- 7 days in a week
)dayList(s)
cross join (
-- set this to number of weeks out to allow bookings to be made
values (1),(1),(1),(1),(1),(1) -- allow 6 weeks of bookings at a time
)weeks(t)
)
,tally as (
select
cast(days.BookDate as date) as BookDate
,slots.BookSlot as BookSLot
from slots
cross join days
)
select top 1
tally.BookDate
,tally.BookSlot
from tally
left join #Bookings book
on tally.BookDate = book.BookDate
and tally.BookSlot = book.BookSlot
where book.BookSlot is null
and ( tally.BookDate > #Date or tally.BookSlot > #slot )
order by tally.BookDate,tally.BookSlot;
go
try this:
SELECT a.bookdate, ((a.bookslot/60.)+.5) * 60
FROM bookings a LEFT JOIN bookings b
ON a.bookdate=b.bookdate AND (a.bookslot/60.)+.50=b.bookslot/60.
WHERE b.bookslot IS null