SELECT 1 + (SELECT count( * ) FROM student_rank a WHERE a.obtained_total_mark > b.obtained_total_mark ) AS rank FROM student_rank b WHERE student_id = '5' ORDER BY rank LIMIT 1 ;
convert search query
use
$this->db->query("SELECT 1 + (SELECT count( * ) FROM student_rank a WHERE a.obtained_total_mark > b.obtained_total_mark ) AS rank FROM student_rank b WHERE student_id = '5' ORDER BY rank LIMIT 1")
Related
it says "not a groupby function". when I add D.unitpricef to groupby it doesn't show any error,but in result it shows same itmcode multiple time. one item code should diplay only one time
SELECT
ItemCode,
case when H.InvoType = 1 then concat(ItemCode,' ( SLT Equipment )' ) else concat(ItemCode,' (
CONBES Eqipment )' ) end as EquName,
case when TRIM(SUM(QTY)) is null then '' else TRIM(TO_CHAR(SUM(QTY),'999999')) end as QTY,
CAST( (SUM(QTY) * D.unitpricef) AS NUMBER(38,2)) AS Amount
FROM Invoicedetails D
INNER JOIN
invoiceheader H ON D.InvoiceNo = H.InvoiceNo
INNER JOIN Equipment E ON E.EquCode = ItemCode
WHERE
H.CancelStat= 0
AND H.ReceiptStat = 1
AND H.BCCODE = 'xxx'
GROUP BY ItemCode,H.InvoType ORDER BY ItemCode ASC;
You need to group by using the same expressions associated to the aggregate function
SELECT
ItemCode,
case when H.InvoType = 1 then concat(ItemCode,' ( SLT Equipment )' ) else concat(ItemCode,' ( CONBES Eqipment )' ) end as EquName,
case when TRIM(SUM(QTY)) is null then '' else TRIM(TO_CHAR(SUM(QTY),'999999')) end as QTY,
CAST( (SUM(QTY) * D.unitpricef) AS NUMBER(38,2)) AS Amount
FROM Invoicedetails D
INNER JOIN
invoiceheader H ON D.InvoiceNo = H.InvoiceNo
INNER JOIN Equipment E ON E.EquCode = ItemCode
WHERE
H.CancelStat= 0
AND H.ReceiptStat = 1
AND H.BCCODE = 'xxx'
GROUP BY
ItemCode
case when H.InvoType = 1 then concat(ItemCode,' ( SLT Equipment )' ) else concat(ItemCode,' ( CONBES Eqipment )' ) end
ORDER BY ItemCode ASC;
Query details
SELECT userfbimages_id, count( * ) FROM votes GROUP BY userfbimages_id
HAVING count( * ) >= ALL (SELECT count( * ) FROM votes GROUP BY userfbimages_id)
DB::statement('SELECT userfbimages_id, count() FROM votes
GROUP BY userfbimages_id
HAVING count() >= ALL (SELECT count(*) FROM votes GROUP BY userfbimages_id)');
I got an confusing result when working with rownum of Oracle10g.
first query
select * from A where name like '%test' order by name asc
==> return 1 record
second query with rownum
select * from (
select * from A where name like '%test'
order by name asc
)
where rownum <= 2
==> return 2 records
If I remove 'order by' then it will return 1 record.
Any one can help me to explain this behavior?
maybe you wanted this functionality:
select * from (
select X.*, rownum r from (
select * from A where name like '%test'
order by name asc
) X
)
where r <= 2
or alternatively
select * from (
select A.*, ROW_NUMBER() OVER (ORDER BY name) r
from A where name like '%test'
)
where r <= 2
I use this sql
SELECT *
FROM (
SELECT a.*, rownum rnum
FROM (
SELCT s.id, s.user_id, u.user_id u_id
FROM sample s
INNER JOIN template t ON s.t_id = t.t_id
INNER JOIN user u ON t.u_id = u.u_id
ORDER BY u.u_id desc
) a WHERE rownum <= 100
) WHERE rnum >= 0
The sql query result
id user_id u_id
1 A001 B001
2 A002 B002
3 A003 B003
4 A004 B004
5 A005 B005
May I use one sql for php to update the user_id as u_id's value, not use code to run a loop, thanks.
This is I want the result:
id user_id u_id
1 B001 B001
2 B002 B002
3 B003 B003
4 B004 B004
5 B005 B005
Yes, very simply, without thinking about the complicated update statement, you can use merge ...
merge into sample TGT
using (
-- your original query starts here
SELECT *
FROM (
SELECT a.*, rownum rnum
FROM (
SELECT s.id, s.user_id, u.user_id u_id
FROM sample s
INNER JOIN template t ON s.t_id = t.t_id
INNER JOIN user u ON t.u_id = u.u_id
ORDER BY u.u_id desc
) a WHERE rownum <= 100
) WHERE rnum >= 0
-- your original query ends here
) SRC
on ( TGT.id = SRC.id )
when matched then
update set TGT.user_id = SRC.u_id
;
You want update table sample using table user as source?
merge into sample s
using (select t.t_id, u.user_id
from user u, template t
where u.u_id = t.u_id) u_source
on (u_source.t_id = s.t_id)
when matched then update
set s.user_ud = u_source.user_id
Please see my code below as it is running too slowly with the CROSS APPLY.
How can I remove the CROSS APPLY and add something else that will run faster?
Please note I am using SQL Server 2008 R2.
;WITH MyCTE AS
(
SELECT
R.NetWinCURRENCYValue AS NetWin
,dD.[Date] AS TheDay
FROM
dimPlayer AS P
JOIN
dbo.factRevenue AS R ON P.playerKey = R.playerKey
JOIN
dbo.vw_Date AS dD ON Dd.dateKey = R.dateKey
WHERE
P.CustomerID = 12345)
SELECT
A.TheDay AS [Date]
,ISNULL(A.NetWin, 0) AS NetWin
,rt.runningTotal AS CumulativeNetWin
FROM MyCTE AS A
CROSS APPLY (SELECT SUM(NetWin) AS runningTotal
FROM MyCTE WHERE TheDay <= A.TheDay) AS rt
ORDER BY A.TheDay
CREATE TABLE #temp (NetWin money, TheDay datetime)
insert into #temp
SELECT
R.NetWinCURRENCYValue AS NetWin
,dD.[Date] AS TheDay
FROM
dimPlayer AS P
JOIN
dbo.factRevenue AS R ON P.playerKey = R.playerKey
JOIN
dbo.vw_Date AS dD ON Dd.dateKey = R.dateKey
WHERE
P.CustomerID = 12345;
SELECT
A.TheDay AS [Date]
,ISNULL(A.NetWin, 0) AS NetWin
,SUM(B.NetWin) AS CumulativeNetWin
FROM #temp AS A
JOIN #temp AS B
ON A.TheDay >= B.TheDay
GROUP BY A.TheDay, ISNULL(A.NetWin, 0);
Here https://stackoverflow.com/a/13744550/613130 it's suggested to use recursive CTE.
;WITH MyCTE AS
(
SELECT
R.NetWinCURRENCYValue AS NetWin
,dD.[Date] AS TheDay
,ROW_NUMBER() OVER (ORDER BY dD.[Date]) AS RN
FROM dimPlayer AS P
JOIN dbo.factRevenue AS R ON P.playerKey = R.playerKey
JOIN dbo.vw_Date AS dD ON Dd.dateKey = R.dateKey
WHERE P.CustomerID = 12345
)
, MyCTERec AS
(
SELECT C.TheDay AS [Date]
,ISNULL(C.NetWin, 0) AS NetWin
,ISNULL(C.NetWin, 0) AS CumulativeNetWin
,C.RN
FROM MyCTE AS C
WHERE C.RN = 1
UNION ALL
SELECT C.TheDay AS [Date]
,ISNULL(C.NetWin, 0) AS NetWin
,P.CumulativeNetWin + ISNULL(C.NetWin, 0) AS CumulativeNetWin
,C.RN
FROM MyCTERec P
INNER JOIN MyCTE AS C ON C.RN = P.RN + 1
)
SELECT *
FROM MyCTERec
ORDER BY RN
OPTION (MAXRECURSION 0)
Note that this query will work if you have 1 record == 1 day! If you have multiple records in a day, the results will be different from the other query.
As I said here, if you want really fast calculation, put it into temporary table with sequential primary key and then calculate rolling total:
create table #Temp (
ID bigint identity(1, 1) primary key,
[Date] date,
NetWin decimal(29, 10)
)
insert into #Temp ([Date], NetWin)
select
dD.[Date],
sum(R.NetWinCURRENCYValue) as NetWin,
from dbo.dimPlayer as P
inner join dbo.factRevenue as R on P.playerKey = R.playerKey
inner join dbo.vw_Date as dD on Dd.dateKey = R.dateKey
where P.CustomerID = 12345
group by dD.[Date]
order by dD.[Date]
;with cte as (
select T.ID, T.[Date], T.NetWin, T.NetWin as CumulativeNetWin
from #Temp as T
where T.ID = 1
union all
select T.ID, T.[Date], T.NetWin, T.NetWin + C.CumulativeNetWin as CumulativeNetWin
from cte as C
inner join #Temp as T on T.ID = C.ID + 1
)
select C.[Date], C.NetWin, C.CumulativeNetWin
from cte as C
order by C.[Date]
I assume that you could have duplicates dates in the input, but don't want duplicates in the output, so I grouped data before puting it into the table.