I have this:
SELECT NEWID() as id,
'OwnerReassign' as name,
1 as TypeId,
'MyOrganisation' as OrgName,
'07DA8E53-74BD-459C-AF94-A037897A51E3' as SystemUserId,
0 as StatusId,
GETDATE() as CreatedAt,
'{"EntityName":"account","Ids":["'+CAST(AccountId as varchar(50))+'"],"OwnerId":"0C01C994-1205-E511-988E-26EE4189191B"}' as [Parameters]
FROM Account
WHERE OwnerIdName IN ('John Smith') AND New_AccountType = 1
Within the parameter field is an id (0C01C994-1205-E511-988E-26EE4189191B). Is it possible it could sequentially assign a different id from a list for each row? There are 5 id's in total.
What i'm trying to get to is this result set equally split between the 5 different id's.
Thanks
You can add one more NEWID() in the sub query and handle in the SELECT as below:
SELECT id, [name], TypeId, OrgName, SystemUserId, StatusId, CreatedAt,
'{"EntityName":"account","Ids":["' + AccountId +'"],"OwnerId":"' + ParamId + '"}' as [Parameters]
FROM (
SELECT NEWID() as id,
'OwnerReassign' as name,
1 as TypeId,
'MyOrganisation' as OrgName,
'07DA8E53-74BD-459C-AF94-A037897A51E3' as SystemUserId,
0 as StatusId,
GETDATE() as CreatedAt,
CAST(NEWID() AS VARCHAR (36)) as ParamId,
CAST(AccountId as varchar(50)) as AccountId
FROM Account
WHERE OwnerIdName IN ('John Smith') AND New_AccountType = 1
) A
You can use something like the following. Basically, use a row number for both your IDs and your data table to update, then do a MOD (%) operation with the amount of ID's you want to assign, so your data table to update is split into N groups. Then use that group ID to assign each ID.
IF OBJECT_ID('tempdb..#IDsToAssign') IS NOT NULL
DROP TABLE #IDsToAssign
CREATE TABLE #IDsToAssign (
IDToAssign VARCHAR(100))
-- 3 IDs example
INSERT INTO #IDsToAssign (
IDToAssign)
SELECT IDToAssign = NEWID()
UNION ALL
SELECT IDToAssign = NEWID()
UNION ALL
SELECT IDToAssign = NEWID()
DECLARE #AmountIDsToAssign INT = (SELECT COUNT(1) FROM #IDsToAssign)
IF OBJECT_ID('tempdb..#Account') IS NOT NULL
DROP TABLE #Account
CREATE TABLE #Account (
PrimaryKey INT PRIMARY KEY,
AssignedID VARCHAR(100))
-- 10 Rows example
INSERT INTO #Account (
PrimaryKey)
VALUES
(100),
(200),
(351),
(154),
(194),
(345),
(788),
(127),
(124),
(14)
;WITH DataRowNumber AS
(
SELECT
A.*,
RowNumber = ROW_NUMBER() OVER (ORDER BY (SELECT NULL))
FROM
#Account AS A
),
IDsRowNumbers AS
(
SELECT
D.IDToAssign,
RowNumber = ROW_NUMBER() OVER (ORDER BY D.IDToAssign)
FROM
#IDsToAssign AS D
),
NewIDAssignation AS
(
SELECT
R.*,
IDRowNumberAssignation = (R.RowNumber % #AmountIDsToAssign) + 1
FROM
DataRowNumber AS R
)
UPDATE A SET
AssignedID = R.IDToAssign
FROM
NewIDAssignation AS N
INNER JOIN IDsRowNumbers AS R ON N.IDRowNumberAssignation = R.RowNumber
INNER JOIN #Account AS A ON N.PrimaryKey = A.PrimaryKey
SELECT
*
FROM
#Account AS A
ORDER BY
A.AssignedID
/* Results:
PrimaryKey AssignedID
----------- ------------------------------------
124 1CC7F0F1-7EDE-4F7F-B0A3-739D74A62390
194 1CC7F0F1-7EDE-4F7F-B0A3-739D74A62390
351 1CC7F0F1-7EDE-4F7F-B0A3-739D74A62390
788 2A58A573-EDCB-428E-A87A-6BFCED265A9C
200 2A58A573-EDCB-428E-A87A-6BFCED265A9C
127 2A58A573-EDCB-428E-A87A-6BFCED265A9C
14 2A58A573-EDCB-428E-A87A-6BFCED265A9C
100 FD8036DA-0E15-453E-8A59-FA3C2BDB8FB1
154 FD8036DA-0E15-453E-8A59-FA3C2BDB8FB1
345 FD8036DA-0E15-453E-8A59-FA3C2BDB8FB1
*/
The ordering of the ROW_NUMBER() function will determine how ID's are assigned.
You could potentially do this by using the ROW_NUMBER() field in a subquery; for example:
SELECT NEWID() as id, 'OwnerReassign' as name, 1 as TypeId,
'MyOrganisation' as OrgName,
'07DA8E53-74BD-459C-AF94-A037897A51E3' as SystemUserId,
0 as StatusId, GETDATE() as CreatedAt,
case B / ##ROWCOUNT
when 0 then '0C01C994-1205-E511-988E-26EE4189191B'
when 1 then '12345677-1205-E511-988E-26EE4189191B'
when 2 then '66666666-1205-E511-988E-26EE4189191B'
etc...
end
FROM
(
SELECT ROW_NUMBER() OVER (ORDER BY A.Id)
FROM Account A
WHERE OwnerIdName IN ('John Smith') AND New_AccountType = 1
) AS B
If you want the system to pick those values then you could put then in their own temporary table, too.
Related
My table structure as below
Category Sex Last Modified Date Id
7 2 2015-01-16 87603
7 1 2014-11-27 87729
7 2 2018-09-06 87135
7 1 2017-12-27 87568
My sql query as below
SELECT
MAX(Id) AS Id
FROM
Table
GROUP BY
Category, Sex
Result as below
87603
87729
But I would like to get Id as Max Last Modified Date. Correct result should be as below
87135
87568
You can use ROW_NUMBER() to find most recent row per group:
SELECT Id, LastModifiedDate
FROM (
SELECT Id, LastModifiedDate, ROW_NUMBER() OVER (PARTITION BY Category, Sex ORDER BY LastModifiedDate DESC) AS rnk
FROM t
) AS cte
WHERE rnk = 1
Use RANK() if you're interested in finding all rows with ties for LastModifiedDate.
You can also get it as
SELECT T.*
FROM
(
SELECT Sex,
MAX([Last Modified Date]) [Last Modified Date],
Category
FROM T
GROUP BY Sex,
Category
) TT INNER JOIN T ON T.[Last Modified Date] = TT.[Last Modified Date]
WHERE T.Sex = TT.Sex
AND
T.Category = TT.Category;
Returns:
+----------+-----+---------------------+-------+
| Category | Sex | Last Modified Date | Id |
+----------+-----+---------------------+-------+
| 7 | 2 | 06/09/2018 00:00:00 | 87135 |
| 7 | 1 | 27/12/2017 00:00:00 | 87568 |
+----------+-----+---------------------+-------+
We can get the solution by joining the same table with its grouped set:
SELECT MIN(T.Id)
FROM Table T
INNER JOIN (SELECT Category,
Sex,
MAX(LastModifiedDate) AS LastModifiedDate
FROM Table
GROUP BY Category, Sex) GT
ON GT.Category = T.Category
AND GT.Sex = T.Sex
AND GT.LastModifiedDate = T.LastModifiedDate
GROUP BY T.Category, T.Sex
Other option is to use correlated subquery :
select t.*
from table t
where t.LastModifiedDate = (select max(t1.LastModifiedDate)
from table t1
where t1.Category = t.Category and t1.Sex = t.Sex
);
Here are a few different approaches... (in no particular order)
IF OBJECT_ID('tempdb..#TestData', 'U') IS NOT NULL
DROP TABLE #TestData;
GO
CREATE TABLE #TestData (
Category TINYINT NOT NULL,
Sex TINYINT NOT NULL,
LastModifiedDate DATE NOT NULL,
Id INT NOT NULL
);
GO
INSERT #TestData(Category, Sex, LastModifiedDate, Id) VALUES
(7, 2, '2015-01-16', 87603),
(7, 1, '2014-11-27', 87729),
(7, 2, '2018-09-06', 87135),
(7, 1, '2017-12-27', 87568);
GO
/* nonclustered index to support the query. */
CREATE UNIQUE NONCLUSTERED INDEX ix_TestData_Category_Sex_LastModifiedDate
ON #TestData (Category ASC, Sex ASC, LastModifiedDate DESC)
INCLUDE (Id);
GO
--====================================================
-- option 1: TOP(n) WITH TIES...
SELECT TOP (1) WITH TIES
td.Id
FROM
#TestData td
ORDER BY
ROW_NUMBER() OVER (PARTITION BY td.Category, td.Sex ORDER BY td.LastModifiedDate DESC);
GO
-----------------------------------------------------
-- option 2: Filter on ROW_NUMBER()...
WITH
cte_AddRN AS (
SELECT
td.Id,
rn = ROW_NUMBER() OVER (PARTITION BY td.Category, td.Sex ORDER BY td.LastModifiedDate DESC)
FROM
#TestData td
)
SELECT
arn.Id
FROM
cte_AddRN arn
WHERE
arn.rn = 1;
GO
-----------------------------------------------------
-- option 3: binary concatination...
SELECT
Id = CONVERT(INT, SUBSTRING(MAX(bv.bin_val), 4, 4))
FROM
#TestData td
CROSS APPLY ( VALUES (CONVERT(BINARY(3), td.LastModifiedDate) + CONVERT(BINARY(4), td.Id)) ) bv (bin_val)
GROUP BY
td.Category,
td.Sex;
GO
--====================================================
I have a table like this :
Table1:
[Id] [TDate] [Score]
1 1.1.00 50
1 1.1.00 60
2 1.1.01 50
2 1.1.01 70
2 1.3.01 40
3 1.1.00 80
3 1.1.00 30
3 1.2.00 40
My desired output should be like this:
[ID] [TDate] [Score]
1 1.1.00 60
2 1.1.01 70
2 1.3.01 40
3 1.1.00 80
3 1.2.00 40
So fare, I have written this:
SELECT DISTINCT TOP 2 Id, TDate, Score
FROM
( SELECT Id, TDate, Score, ROW_NUMBER() over(partition by TDate order by Score) Od
FROM Table1
) A
WHERE A.Od = 1
ORDER BY Score
But it gives me :
[ID] [TDate] [Score]
2 1.1.01 70
3 1.1.00 80
of course I can do this:
"select top 2 ...where ID = 1"
and then:
union
`"Select top 2 ... where ID = 2"`
etc..
but I have a 100,000 of this..
Any way to generalize it to any Id?
Thank you.
WITH TOPTWO AS (
SELECT Id, TDate, Score, ROW_NUMBER()
over (
PARTITION BY TDate
order by SCORE
) AS RowNo
FROM [table_name]
)
SELECT * FROM TOPTWO WHERE RowNo <= 2
Your output doesn't make sense. Let me assume you want two rows per id. Then the query would look like:
SELECT TOP 2 Id, TDate, Score
FROM (SELECT Id, TDate, Score,
ROW_NUMBER() over (partition by id order by Score DESC) as seqnum
FROM Table1
) t
WHERE seqnum <= 2
ORDER BY Score;
Notes:
This assumes that you want two rows per id. Hence, id is in the PARTITION BY.
The WHERE now selects two rows per group in the PARTITION BY.
There is no need for SELECT DISTINCT in the outer query -- at least for this question.
Try this : Make partition by ID and TDate and sort by score in descending order
ROW_NUMBER() over(partition by ID,TDate order by Score DESC) Od
Complete script
WITH CTE AS(
SELECT *,
ROW_NUMBER() over(partition by ID,TDate order by Score DESC) RN
FROM TableName
)
SELECT *
FROM CTE
WHERE RN = 1
Unless I am missing something this can be done with a simple group by
First I prepare a temp table for testing :
declare #table table (ID int, TDate varchar(10), Score int)
insert into #Table values(1, '1.1.00', 50)
insert into #Table values(1, '1.1.00', 60)
insert into #Table values(2, '1.1.01', 50)
insert into #Table values(2, '1.1.01', 70)
insert into #Table values(2, '1.3.01', 40)
insert into #Table values(3, '1.1.00', 80)
insert into #Table values(3, '1.1.00', 30)
insert into #Table values(3, '1.2.00', 40)
Now lets do a select on this table
select ID, TDate, max(Score) as Score
from #table
group by ID, TDate
order by ID, TDate
The result is this :
ID TDate Score
1 1.1.00 60
2 1.1.01 70
2 1.3.01 40
3 1.1.00 80
3 1.2.00 40
So all you need to do is change #table to your table name and you are done
I have the following table:
What I want is to get to this:
EventTypeId 1 and 3 are valid start events and EventTypeId of 2 is the only valid end event.
I have tried to do a pivot, but I don't believe a pivot will get me the multiple events for a person in the result set.
SELECT PersonId, [1],[3],[2]
FROM
(
SELECT PersonId, EventTypeId, EventDate
from #PersonEvent
) as SourceTable
PIVOT
(
count(EventDate) FOR EventTypeId
IN ([1],[3],[2])
) as PivotTable
Select PersonID,
Min(Case WHEN EventTypeId IN (1,3) THEN EventDate END) as StartDate,
Min(Case WHEN EventTypeId IN (2) THEN EventDate END) as EndDate
FROM #PersonEvent
group by personid
I can do a cursor, but my original table is over 90,000 rows, and this is to be for a report, so I don't think I can use that option. Any other thoughts that I might be missing?
Assuming the table is called [dbo].[PersonEventRecords] this will work...
With StartEvents As
(
Select *
From [dbo].[PersonEventRecords]
Where EventTypeId In (1,3)
), EndEvents As
(
Select *
From [dbo].[PersonEventRecords]
Where EventTypeId In (2)
)
Select IsNull(se.PersonId,ee.PersonId) As PersonId,
se.EventTypeId As StartEventTypeId,
se.EventDate As StartEventDate,
ee.EventTypeId As EndEventTypeId,
ee.EventDate As EndEventDate
From StartEvents se
Full Outer Join EndEvents ee
On se.PersonId = ee.PersonId
And se.EventSequence = ee.EventSequence - 1
Order By IsNull(se.PersonId,ee.PersonId),
IsNull(se.EventDate,ee.EventDate);
/**** TEST DATA ****/
If Object_ID('[dbo].[PersonEventRecords]') Is Not Null
Drop Table [dbo].[PersonEventRecords];
Create Table [dbo].[PersonEventRecords]
(
PersonId Int,
EventTypeId Int,
EventDate Date,
EventSequence Int
);
Insert [dbo].[PersonEventRecords]
Select 1,1,'2012-10-13',1
Union All
Select 1,2,'2012-10-20',2
Union All
Select 1,1,'2012-11-01',3
Union All
Select 1,2,'2012-11-13',4
Union All
Select 2,1,'2012-05-07',1
Union All
Select 2,2,'2012-06-01',2
Union All
Select 2,3,'2012-07-01',3
Union All
Select 2,2,'2012-08-30',4
Union All
Select 3,2,'2012-04-05',1
Union All
Select 3,1,'2012-05-04',2
Union All
Select 3,2,'2012-05-24',3
Union All
Select 4,1,'2013-01-03',1
Union All
Select 4,1,'2013-02-20',2
Union All
Select 4,2,'2013-03-20',3;
Try this
SELECT E1.PersonId, E1.EventTypeId, E1.EventDate, E2.EventTypeId, E2.EventDate
FROM PersonEvent AS E1
OUTER APPLY(
SELECT TOP 1 PersonEvent.EventTypeId, PersonEvent.EventDate
FROM PersonEvent
WHERE PersonEvent.PersonId = E1.PersonId
AND PersonEvent.EventSequence = E1.EventSequence + 1
AND PersonEvent.EventTypeId = 2
) AS E2
WHERE E1.EventTypeId = 1 OR E1.EventTypeId = 3
UNION
SELECT E3.PersonId, NULL, NULL, E3.EventTypeId, E3.EventDate
FROM PersonEvent E3
WHERE E3.EventTypeId = 2
AND NOT EXISTS(
SELECT *
FROM PersonEvent
WHERE PersonEvent.PersonId = E3.PersonId
AND PersonEvent.EventSequence = E3.EventSequence - 1)
It is not completely clear how do you want the result to be ordered – add order as needed.
Let's say I have the following table:
id name age
John 23
Mary 22
Mike 25
etc etc
I would like to generate consecutive number into id column for every record. Could anyone help me?
Sorry if I asked the same question as asked before.
You can use ROW_NUMBER() to add a sequential number:
SELECT
id = ROW_NUMBER() OVER(ORDER BY (SELECT NULL)),
name,
age
FROM yourTable
Here is an example of how to update table through CTE:
DECLARE #t TABLE ( ID INT, Name NVARCHAR(50) )
INSERT INTO #t
VALUES ( 3, 'a' ),
( 5, 'b' ),
( 10, 'c' )
SELECT * FROM #t;
WITH cte
AS ( SELECT ID ,
ROW_NUMBER() OVER ( ORDER BY ( SELECT 1 ) ) AS RN
FROM #t
)
UPDATE cte
SET ID = RN
SELECT * FROM #t
Output:
ID Name
3 a
5 b
10 c
ID Name
1 a
2 b
3 c
Instead of
ROW_NUMBER() OVER ( ORDER BY ( SELECT 1 ) ) AS RN
you can do
ROW_NUMBER() OVER ( ORDER BY Name ) AS RN
in order to increment values by ordering in Name column.
Alter your table then add identity and it will generate value
ALTER TABLE dbo.YourTable
Add id Int Identity(1, 1)
I have a following table:
State LAB GROUP DATE CODE ID
UP A I 1-Jan 1 345
UP R S 1-Feb 1 456
UP A S 1-Jan 2 567
DL R S 1-Feb 3 678
DL T S 1-Jan 1 789
DL A S 1-Jan 2 900
MN T S 1-Jan 3 1011
MN R I 1-Feb 1 1122
MN S I 1-Feb 2 1233
I need a pivot table of following type:
STATE A R T TOTAL
UP 2 1 0 3
DL 1 1 1 3
MN 0 1 1 2
DISTINCT COUNT OF ID FOR EACH LAB FOR EACH STATE.
I then need the pivot tables filtered for following columns:
GROUP
DATE
CODE
So 1st table will have the pivot table above counting only those records which have GROUP=S
2nd table will have the pivot table above counting only those records which have CODE=1
and so on, I wish to put multiple conditions. and generate several tables one by one and export them.
If this is possible in SQL please let me know! I ruled out excel vba due to the size of table (source table will have 800,000 records approx).
Try this :-
Select [State],[A],[R],[T],Total = [A] + [R]+ [T]
from
(
Select [State],
[A] = Sum(Case when LAB='A' then 1 else 0 END) ,
[R] = Sum(Case when LAB='R' then 1 else 0 END) ,
[T] = Sum(Case when LAB='T' then 1 else 0 END)
from YourTable
group by [State]
)a
SQL FIDDLE
CREATE TABLE #t(States VARCHAR(10),LAB VARCHAR(5),GROUPs VARCHAR(5),DATEs VARCHAR(10),CODE INT,ID INT)
INSERT INTO #t values('UP','A','I','1-Jan',1,345)
INSERT INTO #t values('UP','R','S','1-Feb',1,456)
INSERT INTO #t values('UP','A','S','1-Jan',2,567)
INSERT INTO #t values('DL','R','S','1-Feb',3,678)
INSERT INTO #t values('DL','T','S','1-Jan',1,789)
INSERT INTO #t values('DL','A','S','1-Jan',2,900)
INSERT INTO #t values('MN','T','S','1-Jan',3,1011)
INSERT INTO #t values('MN','R','I','1-Feb',1,1122)
INSERT INTO #t values('MN','S','I','1-Feb',2,1233)
SELECT States,ISNULL(A,0) A,ISNULL(R,0) R,ISNULL(T,0) T,ISNULL(A,0)+ISNULL(R,0)+ISNULL(T,0) total
FROM
(
SELECT States,LAB,Count(ID) AS cnt FROM #t GROUP BY States,LAB /*apply GROUP DATE CODE condition here*/
) AS PVT
PIVOT(MAX(cnt) FOR LAB IN (A,R,T)) pvt
Another solution using PIVOT :
WITH PivotInUse AS (
SELECT state,lab,COUNT(*) AS cnt
FROM YourTable
GROUP BY state,lab
)
SELECT STATE
,COALESCE([A], 0) AS A
,COALESCE([R], 0) AS R
,COALESCE([T], 0) AS T
,COALESCE([A], 0) + COALESCE([R], 0) + COALESCE([T], 0) AS TOTAL
FROM PivotInUse
PIVOT(SUM(cnt) FOR lab IN ([A],[R],[T])) AS p;
Your sample table
SELECT * INTO #TEMP FROM
(
SELECT 'UP' [State],'A' LAB,'I' [GROUP],'1-Jan' [DATE],1 CODE,345 ID
UNION ALL
SELECT 'UP','R','S','1-Feb',1,456
UNION ALL
SELECT 'UP','A','S','1-Jan',2,567
UNION ALL
SELECT 'DL','R','S','1-Feb',3,678
UNION ALL
SELECT 'DL','T','S','1-Jan',1,789
UNION ALL
SELECT 'DL','A','S','1-Jan',2,900
UNION ALL
SELECT 'MN','T','S','1-Jan',3,1011
UNION ALL
SELECT 'MN','R','I','1-Feb',1,1122
UNION ALL
SELECT 'MN','S','I','1-Feb',2,1233
)TAB
Now you need to get the distinct count of each state and get the sum as the result to show Total
in pivoted result.
SELECT DISTINCT [State],LAB,SUM(CNT) CNT
INTO #NEWTABLE
FROM
(
SELECT DISTINCT
[State],LAB,
CASE WHEN [State] IS NULL THEN NULL ELSE COUNT([State]) OVER(PARTITION BY [State],LAB) END CNT
FROM #TEMP
)TAB
GROUP BY [State],LAB
WITH ROLLUP
Now we need to get the distinct columns for pivot(#cols) and columns to identify and replace null with zero in pivot(#NullToZeroCols)
DECLARE #cols NVARCHAR (MAX)
DECLARE #NullToZeroCols NVARCHAR (MAX)
SET #cols = SUBSTRING((SELECT DISTINCT ',['+LAB+']' FROM #NEWTABLE GROUP BY LAB FOR XML PATH('')),2,8000)
SET #NullToZeroCols = SUBSTRING((SELECT DISTINCT ',ISNULL(['+LAB+'],0) AS ['+LAB+']'
FROM #NEWTABLE GROUP BY LAB FOR XML PATH('')),2,8000)
Join the pivotted query with the #NEWTABLE to get the Total for each State
DECLARE #query NVARCHAR(MAX)
SET #query = 'SELECT P.State,' + #NullToZeroCols + ',T2.CNT TOTAL FROM
(
SELECT DISTINCT [State],LAB,CNT FROM #NEWTABLE
) x
PIVOT
(
SUM(CNT)
FOR [LAB] IN (' + #cols + ')
) p
JOIN #NEWTABLE T2 ON P.[STATE]=T2.[STATE]
WHERE P.State IS NOT NULL AND T2.LAB IS NULL AND T2.[STATE] IS NOT NULL;'
EXEC SP_EXECUTESQL #query
Here is your result
Here is the SQLFiddle http://sqlfiddle.com/#!3/c2588/1 (If it shows any error while loading the page, just click RUNSQL, it will work)
Now if you want to get the result as you said DISTINCT COUNT OF ID FOR EACH LAB FOR EACH STATE, just change
OVER(PARTITION BY [State],LAB)
to
OVER(PARTITION BY [State],LAB,Id)
which will show the following result after executing the pivot query