I have a table in which i have to find the maximum date for each unique EMPid & testid
below is the input table and expected output
I tried with correlated sub query but that didn't work.
Any quick way to update the table with max date.
You can use a common-table-expression and the OVER clause with PARTITION BY:
WITH CTE AS
(
SELECT EmpId, [Hall Id], testId, Date, [Max date],
MaxDate = MAX(Date) OVER (PARTITION BY EmpId, testId)
FROM dbo.TableName
)
UPDATE CTE SET [Max date] = MaxDate
If you want to see what will happen replace UPDATE with SELECT * FROM.
You can use a CTE to select all maximum dates and join this with your original data like this:
WITH MaxDates AS (
SELECT empid
, testid
, MAX(Date) AS MaxDate
FROM table
GROUP BY empid
, testid
)
SELECT table.*
, MaxDate
FROM table
INNER JOIN MaxDates ON table.empid = MaxDates.empid AND table.testid = MaxDates.testid
Related
I want to get the min(id) from a table based on the date inserted, as not always the min(id) will be the same as the id of the min(date_inserted). I can do it with subquery but I need to do it without the subquery as it is part of a bigger SQL.
This is what I got so far:
create table tbl(
id int ,
userid int,
dt timestamp)
SELECT id
FROM (
-- if I could do min(id order by dt) that would solve the issue
select id, row_number() over(partition by userid order by dt) row_number
from table
where userid = :userid
) withs
WHERE row_number=1
I have a very similar problem to the question asked here: Merge duplicate temporal records in database
The difference here is, that I need the end date to be an actual date instead of NULL.
So given the following data:
EmployeeId StartDate EndDate Column1 Column2
1000 2009/05/01 2010/04/30 X Y
1000 2010/05/01 2011/04/30 X Y
1000 2011/05/01 2012/04/30 X X
1000 2012/05/01 2013/04/30 X Y
1000 2013/05/01 2014/04/30 X X
1000 2014/05/01 2014/06/01 X X
The desired result is:
EmployeeId StartDate EndDate Column1 Column2
1000 2009/05/01 2011/04/30 X Y
1000 2011/05/01 2012/04/30 X X
1000 2012/05/01 2013/04/30 X Y
1000 2013/05/01 2014/06/01 X X
The proposed solution in the linked thread is this:
with t1 as --tag first row with 1 in a continuous time series
(
select t1.*, case when t1.column1=t2.column1 and t1.column2=t2.column2
then 0 else 1 end as tag
from test_table t1
left join test_table t2
on t1.EmployeeId= t2.EmployeeId and dateadd(day,-1,t1.StartDate)= t2.EndDate
)
select t1.EmployeeId, t1.StartDate,
case when min(T2.StartDate) is null then null
else dateadd(day,-1,min(T2.StartDate)) end as EndDate,
t1.Column1, t1.Column2
from (select t1.* from t1 where tag=1 ) as t1 -- to get StartDate
left join (select t1.* from t1 where tag=1 ) as t2 -- to get a new EndDate
on t1.EmployeeId= t2.EmployeeId and t1.StartDate < t2.StartDate
group by t1.EmployeeId, t1.StartDate, t1.Column1, t1.Column2;
However, this does not seem to work when you need the end date instead of just NULL.
Could someone help me with this issue?
How about this?
create table test_table (EmployeeId int, StartDate date, EndDate date, Column1 char(1), Column2 char(1))
;
insert into test_table values
(1000 , '2009-05-01','2010-04-30','X','Y')
,(1000 , '2010-05-01','2011-04-30','X','Y')
,(1000 , '2011-05-01','2012-04-30','X','X')
,(1000 , '2012-05-01','2013-04-30','X','Y')
,(1000 , '2013-05-01','2014-04-30','X','X')
,(1000 , '2014-05-01','2014-06-01','X','X')
;
SELECT EmployeeId, StartDate, EndDate, Column1, Column2 FROM
(
SELECT EmployeeId, StartDate
, MAX(EndDate) OVER(PARTITION BY EmployeeId, RN) AS EndDate
, Column1
, Column2
, DIFF
FROM
(
SELECT t.*
, SUM(DIFF) OVER(PARTITION BY EmployeeId ORDER BY StartDate ) AS RN
FROM
(
SELECT t.*
, CASE WHEN
Column1 = LAG(Column1,1) OVER(PARTITION BY EmployeeId ORDER BY StartDate)
AND Column2 = LAG(Column2,1) OVER(PARTITION BY EmployeeId ORDER BY StartDate)
THEN 0 ELSE 1 END AS DIFF
FROM
test_table t
) t
)
)
WHERE DIFF = 1
;
This is another solution (taken from How do I group on continuous ranges). It is simpler to code and also caters for NULL values (i.e. treats NULL = NULL unlike the simple LAG() comparison). However it might not be quite as efficient on large volumes of data due to the GROUP BY
SELECT EmployeeId
, MIN(StartDate) AS StartDate
, MAX(EndDate) AS EndDate
, Column1
, Column2
FROM
(
SELECT t.*
, ROW_NUMBER() OVER(PARTITION BY EmployeeId, Column1, Column2 ORDER BY StartDate ) AS GRN
, ROW_NUMBER() OVER(PARTITION BY EmployeeId ORDER BY StartDate ) AS RN
FROM
test_table t
) t
GROUP BY
EmployeeId
, Column1
, Column2
, RN - GRN
I had table lets say table_inventory. On the table_inventory i put a trigger for every update of stock insert new row in audit_inventory table:
table column are look like:
table_inventory
|sr_id|inventory_id|p_name|stock|
audit_inventory
|insert_time||sr_id|inventory_id|p_name|stock|
Now my problem is for every inventory_id of table_inventory there are multiple entry in audit_inventory as i put trigger for every update of stock insert a row with time in audit_inventory, so i want to select second last stock value for every inventory_id of table_inventory. I write some cte to do that but unable to get for every inventory_id.
WITH CTE as
(select inventory_id,stock from table_inventory),
cte_1 as(
SELECT
stock,
row_number() over (order by insert_time desc) rn
FROM audit_inventory where inventoryid in (select inventory_id from cte)
),cte_2 as(
SELECT stock
FROM CTE
WHERE rn = 2)
select * from cte,cte_1;
The above query retrns the second last value for single inventory_id but did not understand how to write query for getting second last row value for every inventory_id of table_inventory.
Thanks for your precious time.
Try doing this. I guess this is what you want:
WITH CTE as
( SELECT
stock,
inventory_id,
row_number() over (PARTITION BY inventoryid order by insert_time desc) rn
FROM audit.inventory
)
SELECT
CTE.stock,
ti.inventory_id,
ti.stock
FROM
table_inventory ti
inner join CTE on CTE.inventory_id=ti.inventory_id
WHERE
CTE.rn=2
I need to write a T-SQL group by query for a table with multiple dates and seq columns:
DROP TABLE #temp
CREATE TABLE #temp(
id char(1),
dt DateTime,
seq int)
Insert into #temp values('A','2015-03-31 10:00:00',1)
Insert into #temp values('A','2015-08-31 10:00:00',2)
Insert into #temp values('A','2015-03-31 10:00:00',5)
Insert into #temp values('B','2015-09-01 10:00:00',1)
Insert into #temp values('B','2015-09-01 10:00:00',2)
I want the results to contains only the items A,B with their latest date and the corresponding seq number, like:
id MaxDate CorrespondentSeq
A 2015-08-31 10:00:00.000 2
B 2015-09-01 10:00:00.000 2
I am trying with (the obviously wrong!):
select id, max(dt) as MaxDate, max(seq) as CorrespondentSeq
from #temp
group by id
which returns:
id MaxDate CorrespondentSeq
A 2015-08-31 10:00:00.000 5 <-- 5 is wrong
B 2015-09-01 10:00:00.000 2
How can I achieve that?
EDIT
The dt datetime column has duplicated values (exactly same date!)
I am using SQL Server 2005
You can use a ranking subselect to get only the highest ranked entries for an id:
select id, dt, seq
from (
select id, dt, seq, rank() over (partition by id order by dt desc, seq desc) as r
from #temp
) ranked
where r=1;
SELECT ID, DT, SEQ
FROM (
SELECT ID, DT, SEQ, Row_Number()
OVER (PARTITION BY id ORDER BY dt DESC, seq DESC) AS row_number
FROM temp
) cte
WHERE row_number = 1;
Demo : http://www.sqlfiddle.com/#!3/3e3d5/5
With trial and errors maybe I have found a solution, but I'm not completely sure this is correct:
select A.id, B.dt, max(B.seq)
from (select id, max(dt) as maxDt
from #temp
group by id) as A
inner join #temp as B on A.id = B.id AND A.maxDt = B.dt
group by A.id, B.dt
Select id, dt, seq
From #temp t
where dt = (Select Max(dt) from #temp
Where id = t.Id)
If there are duplicate rows, then you also need to specify what the query processor should use to determine which of the duplicates to return. Say you want the lowest value of seq,
Then you could write:
Select id, dt, seq
From #temp t
where dt = (Select Max(dt) from #temp
Where id = t.Id)
and seq = (Select Min(Seq) from #temp
where id = t.Id
and dt = t.dt)
I am trying to get distinct rows from a temporary table and output them to an aspx page. I am trying to use the value of one column and get the last entry made into that column.
I have been trying to use inner join and max(). However i have been unsuccessful.
Here is the code i have been trying to do it with.
Declare #TempTable table (
viewIcon nvarchar(10),
tenderType nvarchar(20),
diaryIcon int,
customerName nvarchar(100),
projectName nvarchar(100),
diaryEntry nvarchar(max),
diaryDate nvarchar(20),
pid nvarchar(20)
)
insert into #TempTable(
viewIcon,
tenderType,
diaryIcon,
customerName,
projectName,
diaryEntry ,
diaryDate ,
pid
)
select p.viewicon,
p.[Tender Type],
1 diaryicon,
c.[Customer Name],
co.[Last Project],
d.Action,
co.[Diary Date],
p.PID
From Projects2 p Inner Join
(select distinct Pno, max(convert(date,[date of next call],103)) maxdate from ProjectDiary group by Pno
) td on p.PID = td.Pno
Inner Join contacts3 co on co.[Customer Number] = p.[Customer Number]
Inner Join Customers3 c on p.[Customer Number] = c.[Customer Number]
Inner Join ProjectDiary d on td.Pno = d.Pno
Where CONVERT(Date, co.[Diary Date], 103) BETWEEN GETDATE()-120 AND GETDATE()-60
DECLARE #contactsTable TABLE
(pid nvarchar(200),
diaryDate date)
insert into #contactsTable (t.pid, t.diarydate)
select distinct pid as pid, MAX(CONVERT(DATE, diaryDate, 103)) as diaryDate from # TempTable t group by pid
DECLARE #tempContacts TABLE
(pid nvarchar(200))
insert into #tempContacts(pid)
select pid from #contactsTable
DECLARE #tempDiaryDate TABLE (diaryDate date)
insert into #tempDiaryDate(diaryDate)
select distinct MAX(CONVERT(DATE, diaryDate, 103)) from #TempTable
select t.* from #TempTable t inner join (select distinct customerName, M AX(CONVERT(DATE, diaryDate, 103)) AS diaryDate from #TempTable group by customerName) tt on t t.customerName=t.customerName
where t.pid not in
(select Pno from ProjectDiary where convert(date,[Date Of Next Call],103) > GETDATE())
and t.viewIcon <> '098'
and t.viewIcon <> '163'
and t.viewIcon <> '119'
and t.pid in (select distinct pid from #tempContacts)
and CONVERT(DATE, t.diaryDate, 103) in (select distinct CONVERT(DATE, diaryDate, 103) f rom #tempDiaryDate)
order by CONVERT(DATE, tt.diaryDate, 103)
I am trying to get all the distinct customerName's using the max date to determine which record it uses.
Use a subquery. Without going through your entire sql statement, the general idea is:
Select [Stuff]
From table t
Where date = (Select Max(Date) from table
where customer = t.customer)