Given these tables :
Item
-----
Id
Description
Status
CreatedBy
ItemLog
--------
Id
ItemId
NewStatus
TimeStamp
ChangedBy
Where Itemlog.ItemId = Item.Id, and Status = { "Created", "Pended", "Cancelled", "Completed" }...
How would you write a SQL query to generate the following results :
Item Description ChangeDate NewStatus ChangedBy
1 Test1 2012-01-01 Created User1
1 Test1 2012-01-02 Pended User2
1 Test1 2012-01-03 Completed User2
2 Test2 2012-01-01 Created User2
2 Test2 2012-01-02 Pended User3
2 Test2 2012-01-09 Cancelled User1
3 Test3 2012-01-01 Created User1
3 Test3 2012-01-02 Pended User1
Item CurrentUser CurrentStatus CreatedOn TotalTime TimePended CompletedDate CancelledDate
Test1 User2 Completed 2012-01-01 3 days 1 day 2012-01-03 (null)
Test2 User1 Completed 2012-01-01 9 days 7 days (null) 2012-01-09
Test3 User1 Pended 2012-01-01 35 days 34 days (null) (null)
Which I want to display as a master-detail report in my application.
The first resultset is a simple query with a couple of joins (I haven't included the UserId-UserName tables etc.)
The hard part is the calculation of the total times...
TimeToComplete is the TimeStamp of the last ItemLog minus the TimeStamp of the first ItemLog (where the ItemLog is ordered by date).
TimePended is the sum of the difference in TimeStamps between each change of the status from pended -> something.
Shazam!
create table Item(ID int, Description varchar(200),createdby varchar(20))
create table ItemLog(ID int, ItemID int, NewStatus varchar(200), [TimeStamp] datetime, ChangedBy varchar(20))
insert into Item(ID,Description,CreatedBy) values(1, 'Test 1', 'User1')
insert into Item(ID,Description,CreatedBy) values(2, 'Test 2', 'User1')
insert into Item(ID,Description,CreatedBy) values(3, 'Test 3', 'User1')
insert into ItemLog(ID, ItemID, NewStatus, TimeStamp, ChangedBy)
values(1,1,'Created','1/1/2012','User1')
insert into ItemLog(ID, ItemID, NewStatus, TimeStamp, ChangedBy)
values(2,1,'Pended','1/2/2012','User2')
insert into ItemLog(ID, ItemID, NewStatus, TimeStamp, ChangedBy)
values(3,1,'Completed','1/3/2012','User2')
insert into ItemLog(ID, ItemID, NewStatus, TimeStamp, ChangedBy)
values(4,2,'Created','1/1/2012','User2')
insert into ItemLog(ID, ItemID, NewStatus, TimeStamp, ChangedBy)
values(5,2,'Pended','1/2/2012','User3')
insert into ItemLog(ID, ItemID, NewStatus, TimeStamp, ChangedBy)
values(6,3,'Cancelled','1/9/2012','User1')
insert into ItemLog(ID, ItemID, NewStatus, TimeStamp, ChangedBy)
values(7,3,'Created','1/2/2012','User1')
insert into ItemLog(ID, ItemID, NewStatus, TimeStamp, ChangedBy)
values(8,3,'Pended','1/2/2012','User1')
select * from item i left outer join itemlog il on il.ItemID = i.ID
select
i.Description,
FirstStatusDate=minIL.TimeStamp,
CurrentStatus=maxIL.NewStatus,
CurrentStatusDate=maxIL.TimeStamp,
CurrentUser=maxIL.ChangedBy,
CompletedDate=(select max(TimeStamp) from ItemLog where ItemID=i.ID and NewStatus='Completed'),
[TotalTime (in days)]=case
when
minIL.TimeStamp is not null and maxIL.TimeStamp is not null
then datediff(day,minIL.TimeStamp,maxIL.TimeStamp)
else
convert(int,null)
end,
TimePending=sum(c.Days)
from
Item i
left outer join
(
select
y.ItemID,
y.MinDate,MinItemLogID=min(mn.id),
y.MaxDate,MaxItemLogID=max(mx.id)
from
(
select
ItemID,MinDate=min(timestamp), MaxDate=max(timestamp)
from
ItemLog il group by ItemID
) as y
left outer join ItemLog mn on mn.ItemID=y.ItemID and mn.TimeStamp=y.MinDate
left outer join ItemLog mx on mx.ItemID=y.ItemID and mx.TimeStamp=y.MaxDate
group by
y.ItemID, y.MinDate, y.MaxDate
)
z on z.ItemID = i.ID
left outer join ItemLog minIL on minIL.ID = z.MinItemLogID
left outer join ItemLog maxIL on maxIL.ID = z.MaxItemLogID
left outer join
(
select
p.ItemId,
PendTime=p.TimeStamp,
PendID=p.ID,
Days=datediff(day,p.TimeStamp,
coalesce(
(select min(TimeStamp)
from
ItemLog b
where
b.ItemID = P.ItemID and TimeStamp > p.TimeStamp )
,
getdate()
)
)
from
ItemLog p
where
p.NewStatus='Pended'
) c on c.ItemID = i.ID
group by
i.ID,
i.Description,
minIL.TimeStamp,
maxIL.NewStatus,
maxIL.TimeStamp,
maxIL.ChangedBy
Geez... Does that provide a big performance benefit over something like the following?
ALTER FUNCTION [dbo].[GetItemPendedTime]
(
-- Add the parameters for the function here
#ItemId uniqueidentifier
)
RETURNS INT
AS
BEGIN
-- Declare the return variable here
DECLARE #status INT
DECLARE #timespan datetime
DECLARE #pendTimeMinutes INT = 0
DECLARE #ispend bit = 0
DECLARE #lastTimespan datetime
DECLARE itemlog_queue CURSOR FOR
SELECT Status, Timestamp FROM ItemLog WHERE ItemId = #ItemId
OPEN itemlog_queue;
FETCH NEXT FROM itemlog_queue INTO #status, #timespan
WHILE ##FETCH_STATUS = 0
BEGIN
IF #ispend = 1
BEGIN
SET #pendTimeMinutes += DATEDIFF(minute, #lastTimespan, #timespan)
END
IF #status = 13
BEGIN
SET #ispend = 1
END
ELSE
BEGIN
SET #ispend = 0
END
SET #lastTimespan = #timespan
FETCH NEXT FROM itemlog_queue INTO #status, #timespan
END
CLOSE itemlog_queue
DEALLOCATE itemlog_queue
IF #ispend = 1
BEGIN
SET #pendTimeMinutes = #pendTimeMinutes + DATEDIFF(minute, #lastTimespan, GETDATE())
END
-- Return the result of the function
RETURN #pendTimeMinutes
END
And then call it like
SELECT Description, Status as CurrentStatus, dbo.GetItemPendedTime(ItemId) FROM Items
Related
I have a record in my table:
What I need is to create a column with order state: '1' if order was created, '0' if order was cancelled.
So for this example, when there was both creation and cancellation I need two states. The final table should be:
How can I do this?
I think you can simply do a UNION like this:
select OrderCreateDate, OrderCancelDate, ReportDate, 1 as OrderState
from your_table
where orderCreateDate is not null
union all
select OrderCreateDate, OrderCancelDate, ReportDate, 0 as OrderState
from your_table
where orderCancelDate is not null
One way to do this is to join your table multiple times with a constraint on the join to limit your result set; this is an easy way to pivot your data, but it can affect performance.
DECLARE #a TABLE (id INT, createdate date,canceldate date,reportdate DATE)
INSERT INTO #a (id, createdate, canceldate, reportdate)
VALUES (
1, -- id - int
GETDATE(), -- createdate - date
GETDATE(), -- canceldate - date
GETDATE() -- reportdate - date
)
INSERT INTO #a (id, createdate, canceldate, reportdate)
VALUES (
2, -- id - int
GETDATE(), -- createdate - date
null, -- canceldate - date
GETDATE() -- reportdate - date
)
SELECT a.id,a.createdate,a.canceldate,a.reportdate,CASE WHEN a1.id IS NOT NULL THEN '1' ELSE 0 END AS 'createdInd'
,CASE WHEN a2.id IS NOT NULL THEN '1' ELSE 0 END AS 'CancelledInd'
FROM #a a
LEFT JOIN #a a1 ON a.id = a1.id AND a1.createdate IS NOT NULL
LEFT JOIN #a a2 ON a.id = a2.id AND a2.canceldate IS NOT NULL
id createdate canceldate reportdate createdInd CancelledInd
1 2021-04-07 2021-04-07 2021-04-07 1 1
2 2021-04-07 NULL 2021-04-07 1 0
Join to the table a query that returns the values 1 and 0:
SELECT t.*, s.OrderState
FROM tablename AS t
INNER JOIN (SELECT 1 AS OrderState UNION ALL SELECT 0) AS s
ON (s.OrderState = 1 AND t.OrderCreateDate IS NOT NULL)
OR (s.OrderState = 0 AND t.OrderCancelDate IS NOT NULL)
I am trying to connect records from two different tables so I can display the data in a tabular format in an SSRS tablix.
The code below does not return the expected results.
As is, for each item in Temp_A the loop updates everything with the last item in Temp_C. Here is the code:
CREATE TABLE #Temp_A
(
[ID] INT,
[Name] VARCHAR(255)
)
INSERT INTO #Temp_A ([ID], [Name])
VALUES (1, 'A'), (2, 'B')
CREATE TABLE #Temp_C
(
[ID] INT,
[Name] VARCHAR(255)
)
INSERT INTO #Temp_C ([ID], [Name])
VALUES (1, 'C'), (2, 'D')
CREATE TABLE #Temp_Main
(
[Temp_A_ID] INT,
[Temp_A_Name] VARCHAR(255),
[Temp_C_ID] INT,
[Temp_C_Name] VARCHAR(255),
)
DECLARE #MIN_AID int = (SELECT MIN(ID) FROM #Temp_A)
DECLARE #MAX_AID int = (SELECT MAX(ID) FROM #Temp_A)
DECLARE #MIN_DID int = (SELECT MIN(ID) FROM #Temp_C)
DECLARE #MAX_DID int = (SELECT MAX(ID) FROM #Temp_C)
WHILE #MIN_AID <= #MAX_AID
BEGIN
WHILE #MIN_DID <= #MAX_DID
BEGIN
INSERT INTO #Temp_Main([Temp_A_ID], [Temp_A_Name])
SELECT ID, [Name]
FROM #Temp_A
WHERE ID = #MIN_AID
UPDATE #Temp_Main
SET [Temp_C_ID] = ID, [Temp_C_Name] = [Name]
FROM #Temp_C
WHERE ID = #MIN_DID
SET #MIN_DID = #MIN_DID + 1
END
SET #MIN_AID = #MIN_AID + 1
SET #MIN_DID = 1
END
SELECT * FROM #Temp_Main
DROP TABLE #Temp_A
DROP TABLE #Temp_C
DROP TABLE #Temp_Main
Incorrect result:
Temp_A_ID | Temp_A_Name | Temp_C_ID | Temp_C_Name
----------+-------------+-----------+---------------
1 A 2 D
1 A 2 D
2 B 2 D
2 B 2 D
Expected results:
Temp_A_ID | Temp_A_Name | Temp_C_ID | Temp_C_Name
----------+-------------+-----------+---------------
1 A 1 C
1 A 2 D
2 B 1 C
2 B 2 D
What am I missing?
You seem to want a cross join:
select a.*, c.*
from #Temp_A a cross join
#Temp_C c
order by a.id, c.id;
Here is a db<>fiddle.
There is no need to write a WHILE loop to do this.
You can use insert to insert this into #TempMain, but I don't se a need to have a temporary table for storing the results of this query.
I have the following table Items:
Id MemberId MemberGuid ExpiryYear Hash
---------------------------------------------------------------------------
1 1 Guid1 2017 Hash1
2 1 Guid2 2018 Hash2
3 2 Guid3 2020 Hash3
4 2 Guid4 2017 Hash1
I need to copy the items from a member to another (not just to update MemberId, to insert a new record). The rule is: if I want to migrate all the items from a member to another, I will have to check that that item does not exists in the new member.
For example, if I want to move the items from member 1 to member 2, I will move only item with id 2, because I already have an item at member 2 with the same hash and with the same expiry year (this are the columns that I need to check before inserting the new items).
How to write a query that migrates only the non-existing items from a member to another and get the old id and the new id of the records? Somehow with an upsert?
You can as the below:
-- MOCK DATA
DECLARE #Tbl TABLE
(
Id INT IDENTITY NOT NULL PRIMARY KEY,
MemberId INT,
MemberGuid CHAR(5),
ExpiryYear CHAR(4),
Hash CHAR(5)
)
INSERT INTO #Tbl
VALUES
(1, 'Guid1', '2017', 'Hash1'),
(1, 'Guid2', '2018', 'Hash1'),
(2, 'Guid3', '2020', 'Hash3'),
(2, 'Guid4', '2017', 'Hash1')
-- MOCK DATA
-- Parameters
DECLARE #FromParam INT = 1
DECLARE #ToParam INT = 2
DECLARE #TmpTable TABLE (NewDataId INT, OldDataId INT)
MERGE #Tbl AS T
USING
(
SELECT * FROM #Tbl
WHERE MemberId = #FromParam
) AS F
ON T.Hash = F.Hash AND
T.ExpiryYear = F.ExpiryYear AND
T.MemberId = #ToParam
WHEN NOT MATCHED THEN
INSERT ( MemberId, MemberGuid, ExpiryYear, Hash)
VALUES ( #ToParam, F.MemberGuid, F.ExpiryYear, F.Hash)
OUTPUT inserted.Id, F.Id INTO #TmpTable;
SELECT * FROM #TmpTable
Step 1:
Get in cursor all the data of member 1
Step 2:
While moving through cursor.
Begin
select hash, expirydate from items where memberid=2 and hash=member1.hash and expirydate=member1.expirydate
Step 3
If above brings any result, do not insert.
else insert.
Hope this helps
Note: this is not actual code. I am providing you just steps based on which you can write sql.
Actually you just need an insert. When ExpiryYear and Hash matched you don't wanna do anything. You just wanna insert from source to target where those columns doesn't match. You can do that with Merge or Insert.
CREATE TABLE YourTable
(
Oldid INT,
OldMemberId INT,
Id INT,
MemberId INT,
MemberGuid CHAR(5),
ExpiryYear CHAR(4),
Hash CHAR(5)
)
INSERT INTO YourTable VALUES
(null, null, 1, 1, 'Guid1', '2017', 'Hash1'),
(null, null, 2, 1, 'Guid2', '2018', 'Hash2'),
(null, null, 3, 2, 'Guid3', '2020', 'Hash3'),
(null, null, 4, 2, 'Guid4', '2017', 'Hash1')
DECLARE #SourceMemberID AS INT = 1
DECLARE #TargetMemberID AS INT = 2
MERGE [YourTable] AS t
USING
(
SELECT * FROM [YourTable]
WHERE MemberId = #SourceMemberID
) AS s
ON t.Hash = s.Hash AND t.ExpiryYear = s.ExpiryYear AND t.MemberId = #TargetMemberID
WHEN NOT MATCHED THEN
INSERT(Oldid, OldMemberId, Id, MemberId, MemberGuid, ExpiryYear, Hash) VALUES (s.Id, s.MemberId, (SELECT MAX(Id) + 1 FROM [YourTable]), #TargetMemberID, s.MemberGuid, s.ExpiryYear, s.Hash);
SELECT * FROM YourTable
DROP TABLE YourTable
/* Output:
Oldid OldMemberId Id MemberId MemberGuid ExpiryYear Hash
-----------------------------------------------------------------
NULL NULL 1 1 Guid1 2017 Hash1
NULL NULL 2 1 Guid2 2018 Hash2
NULL NULL 3 2 Guid3 2020 Hash3
NULL NULL 4 2 Guid4 2017 Hash1
2 1 5 2 Guid2 2018 Hash2
If you just want to select then do as following
SELECT null AS OldID, null AS OldMemberID, Id, MemberId, MemberGuid, ExpiryYear, Hash FROM YourTable
UNION ALL
SELECT A.Id AS OldID, A.MemberId AS OldMemberID, (SELECT MAX(Id) + 1 FROM YourTable) AS Id, #TargetMemberID AS MemberId, A.MemberGuid, A.ExpiryYear, A.Hash
FROM YourTable A
LEFT JOIN
(
SELECT * FROM YourTable WHERE MemberId = #TargetMemberID
) B ON A.ExpiryYear = B.ExpiryYear AND A.Hash = B.Hash
WHERE A.MemberId = #SourceMemberID AND B.Id IS NULL
I have a table like this
USER itemnumber datebought (YYYYmmDD)
a 1 20160101
b 2 20160202
c 3 20160903
d 4 20160101
Now I have to show the total number of items bought by each user after date 20160202 (2 february 2016)
I used
SELECT USER, COUNT(itemnumber)<br/>
FROM TABLE<br/>
WHERE datebought >= 20160202<br/>
GROUP BY USER<br>
It gives me results
b 1
c 1
but I want like this
a 0
b 1
c 1
d 0
Please tell me what is the most quick method / efficient method to do that ?
Try like this,
DECLARE #table TABLE
(
[USER] VARCHAR(1),
itemnumber INT,
datebought DATE
)
INSERT INTO #TABLE VALUES
('a',1,'20160101'),
('b',2,'20160202'),
('b',2,'20160202'),
('b',2,'20160202'),
('c',3,'20160903'),
('d',4,'20160101')
SELECT *
FROM #TABLE
SELECT [USER],
Sum(CASE
WHEN datebought >= '20160202' THEN 1
ELSE 0
END) AS ITEMCOUNT
FROM #TABLE
GROUP BY [USER]
Use this
SELECT USER, COUNT(itemnumber)
FROM TABLE
WHERE datebought >= 20160202
GROUP BY USER
Though this query won't be a good idea for the large amount of data:
SELECT USER, COUNT(itemnumber)
FROM TABLE
WHERE datebought >= 20160202
GROUP BY USER
UNION
SELECT DISTINCT USER, 0
FROM TABLE
WHERE datebought < 20160202
USE tempdb
GO
DROP TABLE test1
CREATE TABLE test1(a NVARCHAR(10), ino INT, datebought INT)
INSERT INTO dbo.test1
( a, ino, datebought )
VALUES ( 'a' , 1 , 20160101)
INSERT INTO dbo.test1
( a, ino, datebought )
VALUES ( 'b' , 2 , 20160202)
INSERT INTO dbo.test1
( a, ino, datebought )
VALUES ( 'c' , 3 , 20160903)
INSERT INTO dbo.test1
( a, ino, datebought )
VALUES ( 'd' , 4 , 20160101)
SELECT * FROM dbo.test1
SELECT a, COUNT(ino) OVER(PARTITION BY a) FROM dbo.test1
WHERE datebought>=20160202
UNION ALL
SELECT a, 0 FROM dbo.test1
WHERE datebought<20160202
ORDER BY a
I have a table that looks like this:
ID UserID DateTime TypeID
1 1 1/1/2010 10:00:00 1
2 2 1/1/2010 10:01:50 1
3 1 1/1/2010 10:02:50 1
4 1 1/1/2010 10:03:50 1
5 1 1/1/2010 11:00:00 1
6 2 1/1/2010 11:00:50 1
I need to query all users where their typeID is 1, but have only one row per 15 mins
For example, the result should be:
1 1 1/1/2010 10:00:00 1
2 2 1/1/2010 10:01:50 1
5 1 1/1/2010 11:00:00 1
6 2 1/1/2010 11:00:50 1
IDs 3 & 4 are not shown because 15 min haven't been passed since the last record for the specific userID.
IDs 1 & 5 are shown because 15 minutes has been passed for this specific userID
Same as for IDs 2 & 6.
How can I do it?
Thanks
Try this:
select * from
(
select ID, UserID,
Max(DateTime) as UpperBound,
Min(DateTime) as LowerBound,
TypeID
from the_table
where TypeID=1
group by ID,UserID,TypeID
) t
where datediff(mi,LowerBound,UpperBound)>=15
EDIT: SINCE MY ABOVE ATTEMPT WAS WRONG, I'm adding one more approach using a Sql table-valued Function that does not require recursion, since, understandable, it's a big concern.
Step 1: Create a table-type as follows (LoginDate is the DateTime column in Shay's example - DateTime name conflicts with a SQL data type and I think it's wise to avoid these conflicts)
CREATE TYPE [dbo].[TVP] AS TABLE(
[ID] [int] NOT NULL,
[UserID] [int] NOT NULL,
[LoginDate] [datetime] NOT NULL,
[TypeID] [int] NOT NULL
)
GO
Step 2: Create the following Function:
CREATE FUNCTION [dbo].[fnGetLoginFreq]
(
-- notice: TVP is the type (declared above)
#TVP TVP readonly
)
RETURNS
#Table_Var TABLE
(
-- This will be our result set
ID int,
UserId int,
LoginTime datetime,
TypeID int,
RowNumber int
)
AS
BEGIN
--We will insert records in this table as we go through the rows in the
--table passed in as parameter and decide that we should add an entry because
--15' had elapsed between logins
DECLARE #temp table
(
ID int,
UserId int,
LoginTime datetime,
TypeID int
)
-- seems silly, but is not because we need to add a row_number column to help
-- in our iteration and table-valued paramters cannot be modified inside the function
insert into #Table_var
select ID,UserID,Logindate,TypeID,row_number() OVER(ORDER BY UserID,LoginDate) AS [RowNumber]
from #TVP order by UserID asc,LoginDate desc
declare #Index int,#End int,#CurrentLoginTime datetime, #NextLoginTime datetime, #CurrentUserID int , #NextUserID int
select #Index=1,#End=count(*) from #Table_var
while(#Index<=#End)
begin
select #CurrentLoginTime=LoginTime,#CurrentUserID=UserID from #Table_var where RowNumber=#Index
select #NextLoginTime=LoginTime,#NextUserID=UserID from #Table_var where RowNumber=(#Index+1)
if(#CurrentUserID=#NextUserID)
begin
if( abs(DateDiff(mi,#CurrentLoginTime,#NextLoginTime))>=15)
begin
insert into #temp
select ID,UserID,LoginTime,TypeID
from #Table_var
where RowNumber=#Index
end
END
else
bEGIN
insert into #temp
select ID,UserID,LoginTime,TypeID
from #Table_var
where RowNumber=#Index and UserID=#CurrentUserID
END
if(#Index=#End)--last element?
begin
insert into #temp
select ID,UserID,LoginTime,TypeID
from #Table_var
where RowNumber=#Index and not
abs((select datediff(mi,#CurrentLoginTime,max(LoginTime)) from #temp where UserID=#CurrentUserID))<=14
end
select #Index=#Index+1
end
delete from #Table_var
insert into #Table_var
select ID, UserID ,LoginTime ,TypeID ,row_number() OVER(ORDER BY UserID,LoginTime) AS 'RowNumber'
from #temp
return
END
Step 3: Give it a spin
declare #TVP TVP
INSERT INTO #TVP
select ID,UserId,[DateType],TypeID from Shays_table where TypeID=1 --AND any other date restriction you want to add
select * from fnGetLoginFreq(#TVP) order by LoginTime asc
My tests returned this:
ID UserId LoginTime TypeID RowNumber
2 2 2010-01-01 10:01:50.000 1 3
4 1 2010-01-01 10:03:50.000 1 1
5 1 2010-01-01 11:00:00.000 1 2
6 2 2010-01-01 11:00:50.000 1 4
How about this, it's fairly straight forward and gives you the result you need:
SELECT ID, UserID, [DateTime], TypeID
FROM Users
WHERE Users.TypeID = 1
AND NOT EXISTS (
SELECT TOP 1 1
FROM Users AS U2
WHERE U2.ID <> Users.ID
AND U2.UserID = Users.UserID
AND U2.[DateTime] BETWEEN DATEADD(MI, -15, Users.[DateTime]) AND Users.[DateTime]
AND U2.TypeID = 1)
The NOT EXISTS restricts to only show records that have no record within 15minutes before them, so you will see the first record in a block rather than one every 15mins.
Edit: Since you want to see one every 15mins this should do without using recursion:
SELECT Users.ID, Users.UserID, Users.[DateTime], Users.TypeID
FROM
(
SELECT MIN(ID) AS ID, UserID,
DATEADD(minute, DATEDIFF(minute,0,[DateTime]) / 15 * 15, 0) AS [DateTime]
FROM Users
GROUP BY UserID, DATEADD(minute, DATEDIFF(minute,0,[DateTime]) / 15 * 15, 0)
) AS Dates
INNER JOIN Users AS Users ON Users.ID = Dates.ID
WHERE Users.TypeID = 1
AND NOT EXISTS (
SELECT TOP 1 1
FROM
(
SELECT MIN(ID) AS ID, UserID,
DATEADD(minute, DATEDIFF(minute,0,[DateTime]) / 15 * 15, 0) AS [DateTime]
FROM Users
GROUP BY UserID, DATEADD(minute, DATEDIFF(minute,0,[DateTime]) / 15 * 15, 0)
) AS Dates2
INNER JOIN Users AS U2 ON U2.ID = Dates2.ID
WHERE U2.ID <> Users.ID
AND U2.UserID = Users.UserID
AND U2.[DateTime] BETWEEN DATEADD(MI, -15, Users.[DateTime]) AND Users.[DateTime]
AND U2.TypeID = 1
)
ORDER BY Users.DateTime
If this doesn't work please post more sample data so that I can see what is missing.
Edit2 same as directly above but just using CTE now instead for improved readability and help improve maintainability, also I improved it to highlighted where you would also restrict the Dates table by whatever DateTime range that you would be restricting to the main query:
WITH Dates(ID, UserID, [DateTime])
AS
(
SELECT MIN(ID) AS ID, UserID,
DATEADD(minute, DATEDIFF(minute,0,[DateTime]) / 15 * 15, 0) AS [DateTime]
FROM Users
WHERE Users.TypeID = 1
--AND Users.[DateTime] BETWEEN #StartDateTime AND #EndDateTime
GROUP BY UserID, DATEADD(minute, DATEDIFF(minute,0,[DateTime]) / 15 * 15, 0)
)
SELECT Users.ID, Users.UserID, Users.[DateTime], Users.TypeID
FROM Dates
INNER JOIN Users ON Users.ID = Dates.ID
WHERE Users.TypeID = 1
--AND Users.[DateTime] BETWEEN #StartDateTime AND #EndDateTime
AND NOT EXISTS (
SELECT TOP 1 1
FROM Dates AS Dates2
INNER JOIN Users AS U2 ON U2.ID = Dates2.ID
WHERE U2.ID <> Users.ID
AND U2.UserID = Users.UserID
AND U2.[DateTime] BETWEEN DATEADD(MI, -15, Users.[DateTime]) AND Users.[DateTime]
AND U2.TypeID = 1
)
ORDER BY Users.DateTime
Also as a performance note, whenever dealing with something that might end up being recursive like this potentially could be (from other answers), you should straight away be considering if you are able to restrict the main query by a date range in general even if it's a whole year or longer range
You can use a recursive CTE for this though I would also evaluate a cursor if the result set is at all large as it may work out more efficient.
I've left out the ID column in my answer. If you really need it it would be possible to add it. It just makes the anchor part of the recursive CTE a bit more unwieldy.
DECLARE #T TABLE
(
ID INT PRIMARY KEY,
UserID INT,
[DateTime] DateTime,
TypeID INT
)
INSERT INTO #T
SELECT 1,1,'20100101 10:00:00', 1 union all
SELECT 2,2,'20100101 10:01:50', 1 union all
SELECT 3,1,'20100101 10:02:50', 1 union all
SELECT 4,1,'20100101 10:03:50', 1 union all
SELECT 5,1,'20100101 11:00:00', 1 union all
SELECT 6,2,'20100101 11:00:50', 1;
WITH RecursiveCTE
AS (SELECT UserID,
MIN([DateTime]) As [DateTime],
1 AS TypeID
FROM #T
WHERE TypeID = 1
GROUP BY UserID
UNION ALL
SELECT UserID,
[DateTime],
TypeID
FROM (
--Can't use TOP directly
SELECT T.*,
rn = ROW_NUMBER() OVER (PARTITION BY T.UserID ORDER BY
T.[DateTime])
FROM #T T
JOIN RecursiveCTE R
ON R.UserID = T.UserID
AND T.[DateTime] >=
DATEADD(MINUTE, 15, R.[DateTime])) R
WHERE R.rn = 1)