Actually i have problem on my query to get the running balance , i have debit and credit transaction i need one column to showing the cumulative running balance this is the code i used :
Select * From (
Select D.AccNo, H.[Date], A.AccountName, H.TrxNo,
(Case When ((D.Remark = '') or (D.Remark is Null)) Then H.Trxnote Else D.Remark End) As TrxDetailDescA,
(D.Debit * 1) AS DebitValue, (D.Credit * 1) AS CreditValue,SUM(COALESCE(D.Debit, 0) - COALESCE(D.Credit, 0)) AS Balance
From TblHeadTrans H, TblTransDetails D, TblAccount A
Where H.Guid = D.[LineNo]
And D.AccNo = A.AccountNo
And H.[Date] >= '01-01-2022' And H.[Date] <= '10-07-2022' And D.AccNo >= '1003'
group by AccNo,H.[Date],A.AccountName,H.TrxNo,D.Remark,h.Trxnote,d.Debit,d.Credit
Union All
Select D.AccNo, Null As TrxDate, A.AccountName, Null As TrxNo,
'Opening Balance' As TrxDetailDesc,
Case When (Sum(D.Debit * 1) - Sum(D.Credit *1)) < 0 then 0
Else (Sum(D.Debit * 1) - Sum(D.Credit * 1)) End As DebitValue,
Case When (Sum(D.Credit * 1) - Sum(D.Debit * 1)) < 0 then 0
Else (Sum(D.Credit * 1) - Sum(D.Debit * 1)) End As CreditValue
, SUM(COALESCE(d.Debit, 0) - COALESCE(d.credit, 0)) AS Balance
From TblHeadTrans H, TblTransDetails D, TblAccount A
Where H.guid = D.[LineNo] And D.AccNo = A.AccountNo
And d.[Date] < '01-01-2022' And D.accno = '1003'
Group By D.AccNo, A.AccountName,H.Date,H.TrxNo
) ReportData
WHERE 1=1
Order By AccNo, [Date], TrxNo
and the result showing as the picture:
the result
Related
i want to calculate the balance of 3 accounts.
I have 2 tables:
accounts with id, name and start-balance
transactions with value, charge-account, type and paid
To calculate the balance i have to add the start-balance (from accounts) with alle the transaction-values where charge-account = account-id, paid = 1 and type = 1. Then i have to subtract (correct word?) all the transaction-values where charge-account = account-id, paid = 1 and type = 0
At the end, if everything would work i just want to see what balance the accounts have right now.
i tried this query but i get wrong results, it looks like it adds the start-balance multiple times...
SELECT
SUM(IF(a.id = 1, IF(t.type = 1 AND t.charge_account = 1, t.value, 0) - IF(t.type = 0 AND t.charge_account = 1, t.value, 0), 0) + a.start-balance) as "balanc_1",
SUM(IF(a.id = 2, IF(t.type = 1 AND t.charge_account = 2, t.value, 0) - IF(t.type = 0 AND t.charge_account = 2, t.value, 0), 0) + a.start-balance) as "balance_2",
SUM(IF(a.id = 3, IF(t.type = 1 AND t.charge_account = 3, t.value, 0) - IF(t.type = 0 AND t.charge_account = 3, t.value, 0), 0) + a.start-balance) as "balance_3"
FROM test.transactions t, test.accounts a
WHERE t.paid = 1;
transactions:
accounts:
how it should be like:
SELECT a.id,
MAX ( a.`start-balance` ) +
SUM ( CASE WHEN t.type = 1 then t.value
WHEN t.type = 2 then -t.value
ELSE 0
END ) as balance
FROM accounts a
JOIN transactions t
ON a.id = t.`charge-account`
WHERE a.id IN (1,2,3)
AND t.paid = 1
GROUP BY id
You need to use UNION and then group by account id
select accountid, sum(amount ) as amount from (
select accountid, startamount as amount from accounts
union
select accountid, transactionamount from transactions WHERE ....
) t
group by accountid
Can anyone help me to understand this big sql query. How do I break it down in small chunks to understand it ?
select t.Instrument as Instrument ,ClearingId as ClearingId,
ISNULL( PrevQty ,0) AS PrevQty,SettlePrice,
ISNULL(TodayBuyQty,0) as TodayBuyQty,
ISNULL( TodaySellQty ,0) AS TodaySellQty,
ISNULL(PrevQty +TodayBuyQty-TodaySellQty,0) as NetQty,
TodayBuyPrice, TodaySellPrice,LTP,PnL,Token
from
(
select Instrument,w.ClearingId as ClearingId,
ISNULL( PrevQty ,0) AS PrevQty,ISNULL(TodayBuyQty,0) as TodayBuyQty,
ISNULL( TodaySellQty ,0) AS TodaySellQty,
TodayAvgBuyPrice as TodayBuyPrice,TodayAvgSellPrice as TodaySellPrice,
LTP,PnL,w.Token
from
(
select Symbol as Instrument, ClearingId,
ISNULL(TodayBuyQty,0) as TodayBuyQty,
TodayAvgBuyPrice,
ISNULL( -TodaySellQty ,0) AS TodaySellQty,
TodayAvgSellPrice, NULL as LTP ,NULL as PnL ,
w.Token as Token
from
(
select Token, sum(Qty) as NetPositionQty, ClearingId,
sum(CASE WHEN Qty < 0 THEN Qty ELSE 0 END) as TodaySellQty,
sum(CASE WHEN Qty > 0 THEN Qty ELSE 0 END) as TodayBuyQty,
sum(CASE WHEN Qty < 0 THEN Qty * Price ELSE 0 END)
/
NULLIF(sum(CASE WHEN Qty < 0 THEN Qty ELSE 0 END), 0) as TodayAvgSellPrice,
sum(CASE WHEN Qty > 0 THEN Qty * Price ELSE 0 END)
/
NULLIF(sum(CASE WHEN Qty > 0 THEN Qty ELSE 0 END), 0) as TodayAvgBuyPrice
from
(
select m.Token,
(CASE WHEN ClearingId = 'SATP' THEN 'STRAITS' ELSE CASE WHEN ClearingId = 'BATP' THEN 'BPI' ELSE 'UOB' END END ) as ClearingId ,
Price/CAST(Multiplier AS float ) as Price,Qty
from
(
select Token , Exchange as ClearingId ,
LastTradePrice as Price ,
CASE WHEN Side = 'S' THEN -LastTradeQuantity ELSE LastTradeQuantity END as Qty
from Strategy_Orders
where ExchangeStatus in (9,10) )m
JOIN TokenMap t ON ( m.Token = t.Token)
UNION ALL
select m.Token, (CASE WHEN ClearingId = 'SATP' THEN 'STRAITS' ELSE CASE WHEN ClearingId = 'BATP' THEN 'BPI' ELSE 'UOB' END END ) as ClearingId ,
Price/CAST(Multiplier AS float ) as Price,
Qty
from
(
select Token , Exchange as ClearingId ,
LastTradePrice as Price ,
CASE WHEN Side = 'S' THEN -LastTradeQuantity ELSE LastTradeQuantity END as Qty
from Manual_Orders
where ExchangeStatus in (9,10) )m
JOIN TokenMap t ON ( m.Token = t.Token)
UNION ALL
select Token , ClearingId , TodayBuyPrice ,
TodayBuyQty as Qty
from EOD_Holdings
where CurrentDate =
( select top 1 CurrentDAte from EOD_Holdings
order by CurrentDAte desc
)
UNION ALL
select Token , ClearingId , TodaySellPrice ,
TodaySellQty as Qty
from EOD_Holdings
where CurrentDate = (
select top 1 CurrentDAte from EOD_Holdings
order by CurrentDAte desc
)
) x
group by Token,ClearingId) w
JOIN(select Token, Symbol from TokenMAp ) h on w.Token = h.Token
) w
FULL OUTER JOIN(
select Token, PrevQty , ClearingId
from EOD_Holdings
where CurrentDate = ( select top 1 CurrentDAte from EOD_Holdings order by CurrentDAte desc
)
) h
on w.Token = h.Token and w.ClearingId = h.ClearingId
)t
JOIN (
select * from LatestSettlePrices
) sp
on t.Instrument = sp.Instrument
You can break the query into chunks by looking at each subquery ("select ..." ) separately and running them to see the results. You need to start with the innermost queries that do not have other select statements in the "from" or "where" clause.
Also note that this query does not seem to be a clear, neither an optimal solution.
You would want to avoid using full outer joins and union all statements for the best performance.
i have a query to get summary of donations
SELECT CONVERT(CHAR(2), CAST(pb.PayrollDate AS DATETIME), 101)
+ '/' + CONVERT(CHAR(4), CAST(pb.PayrollDate AS DATETIME), 120) AS Closing_Month ,
CONVERT(CHAR(6), CAST(pb.PayrollDate AS DATETIME), 112) AS Closing_Year ,
COUNT(DISTINCT Donation.Employee) + ( SELECT COUNT(*)
FROM dbo.Donation
INNER JOIN PayrollBatch pbd ON Donation.PayrollBatch = pbd.ID
WHERE CONVERT(CHAR(6), CAST(pbd.PayrollDate AS DATETIME), 112) = CONVERT(CHAR(6), CAST(pb.PayrollDate AS DATETIME), 112)
AND DonationType = 5
)AS 'Donors' ,
COUNT (DISTINCT( CASE WHEN Donation.DonationType = 1 OR Donation.DonationType = 5 THEN CharityDetails.ID
END ))AS 'Charities',
( CAST(COUNT(DISTINCT Donation.Employee) AS DECIMAL(18, 2))
/ ( SELECT SUM(NumberOfEmployees)
FROM OrganisationDetail
WHERE ID = Donation.OrganisationDetail
AND IsDeleted = 0
) ) * 100 AS 'Participation_Rate' ,
SUM(CASE WHEN Donation.DonationType = 1 OR Donation.DonationType = 5 THEN Donation.Amount
ELSE 0
END) AS 'Employee_Donations' ,
SUM(CASE WHEN Donation.DonationType = 2 THEN Donation.Amount
ELSE 0
END) AS 'Matched_Donations' ,
SUM(CASE WHEN Donation.DonationType = 1
OR Donation.DonationType = 2 OR Donation.DonationType = 5 THEN Donation.Amount
ELSE 0
END) AS 'Total_Donations'
FROM Donation
INNER JOIN OrganisationDetail AS OrganisationDetail_1 ON Donation.OrganisationDetail = OrganisationDetail_1.ID
INNER JOIN CharityProjectDetails ON Donation.CharityProjectDetails = CharityProjectDetails.ID
INNER JOIN CharityDetails ON CharityProjectDetails.CharityDetails = CharityDetails.ID
INNER JOIN PayrollBatch pb ON Donation.PayrollBatch = pb.ID
LEFT JOIN Employee ON Donation.Employee = Employee.ID
LEFT JOIN DonationIntent ON Donation.DonationIntent = DonationIntent.ID
LEFT JOIN EmployeeAddress ON Employee.ID = EmployeeAddress.Employee
LEFT JOIN dbo.PayrollBatchOther pbo ON pbo.PayrollBatch = pb.ID
GROUP BY CONVERT(CHAR(2), CAST(pb.PayrollDate AS DATETIME), 101)
+ '/' + CONVERT(CHAR(4), CAST(pb.PayrollDate AS DATETIME), 120) ,
CONVERT(CHAR(6), CAST(pb.PayrollDate AS DATETIME), 112) ,
Donation.OrganisationDetail
ORDER BY Closing_Year;
i need to get unique donors count from result set COUNT(DISTINCT e.ID) but with distinct query takes 7-9 sec to complete execution but without that it took only 1 sec how to improve that performance
Update
Here is the Paste The Plan
I need a table like this:
However WITH ROLLUP I got this and total load twice which is wrong.
I am using mysql:
SELECT CASE
WHEN x.MarginProc < 0 THEN '< 0'
WHEN x.MarginProc = 0 THEN '= 0'
WHEN x.MarginProc > 0 THEN '> 0'
END AS 'Range'
, SUM(x.MarginValue) AS 'MarginValue'
FROM Product t
JOIN (
SELECT d.ProdId
, SUM(d.quantity * (d.ListPrice - d.Cost) AS 'MarginValue'
, SUM(d.quantity * (d.ListPrice - d.Cost )) / SUM(d.quantity * d.ListPrice)) * 100 AS 'MarginProc'
FROM OrderDetails d
JOIN OrderHeader h
ON d.DokId = h.DokId
WHERE h.Data BETWEEN startdate AND enddate
GROUP BY d.ProdId
) x
ON x.ProdId = t.ProdId
GROUP BY CASE
WHEN x.MarginProc < 0 THEN '0. <= 0'
WHEN x.MarginProc = 0 AND x.MarginProc <= 5 THEN '1. (0, 5>'
WHEN x.MarginProc > 5 AND x.MarginProc <= 10 THEN '2. (5, 10>'
END;
Any solutions?
I have this query where the IF lines are only partially returning correct result:
SELECT
COALESCE((SELECT COUNT(ID) FROM USERS_BUCKETS WHERE USERS_BUCKETS.USERID = USERS.ID),0) AS ADDED,
COALESCE((SELECT SUM(CASE WHEN USERS_BUCKETS.STATUS='Completed' THEN 1 ELSE 0 END) FROM USERS_BUCKETS WHERE USERS_BUCKETS.USERID = USERS.ID),0) AS DONE,
COALESCE((SELECT COUNT(ID) FROM USERS_LIKES WHERE USERS_LIKES.USERID = USERS.ID),0) AS NUM_LIKES,
COALESCE((SELECT COUNT(ID) FROM FOLLOW WHERE FOLLOW.USER_ID=USERS.ID),0) AS FOLLOWING,
COALESCE((SELECT COUNT(ID) FROM FOLLOW WHERE FOLLOW.FOLLOW_ID=USERS.ID),0) AS FOLLOWERS,
(SELECT IF(ADDED >= 5,1,0)) AS IFADDED,
(SELECT IF(DONE >= 3,1,0)) AS IFDONE,
(SELECT IF(NUM_LIKES >= 5,1,0)) AS IFNUM_LIKES,
(SELECT IF(FOLLOWING >= 5,1,0)) AS IFFOLLOWING,
(SELECT IF(FOLLOWERS >= 3,1,0)) AS IFFOLLOWERS,
(SELECT IF(ADDED >= 5,1,0) + IF(DONE >= 3,1,0) + IF(NUM_LIKES >= 5,1,0) + IF(FOLLOWING >= 5,1,0) + IF(FOLLOWERS >= 3,1,0)) AS PROGRESS
FROM USERS
WHERE USERS.ID=?
Result:
ADDED: 20
IFADDED: 1
DONE: 9
IFDONE: 0 //should be 1
NUM_LIKES: 11
IFNUM_LIKES: 1
FOLLOWING: 11
IFFOLLOWING: 0 //should be 1
FOLLOWERS: 10
IFFOLLOWERS: 0 //should be 1
PROGRESS: 2
What's wrong? All IF values should be 1 and PROGRESS should be 5.
Note: I am using PDO in php, but I don't think that matters at all.
I have no idea why your code is working. The columns are definitely not the column aliases defined earlier in the query.
To do what you want, use a subquery and simplify the logic:
SELECT u.*, (ADDED >= 5) AS IFADDED,
(DONE >= 3) AS IFDONE,
(NUM_LIKES >= 5) AS IFNUM_LIKES,
(FOLLOWING >= 5) AS IFFOLLOWING,
(FOLLOWERS >= 3) AS IFFOLLOWERS,
((ADDED >= 5) + (DONE >= 3) + (NUM_LIKES >= 5) + (FOLLOWING >= 5) +
(FOLLOWERS >= 3)
) AS PROGRESS
FROM (SELECT COALESCE((SELECT COUNT(ID) FROM USERS_BUCKETS WHERE USERS_BUCKETS.USERID = USERS.ID),0) AS ADDED,
COALESCE((SELECT SUM(CASE WHEN USERS_BUCKETS.STATUS='Completed' THEN 1 ELSE 0 END) FROM USERS_BUCKETS WHERE USERS_BUCKETS.USERID = USERS.ID),0) AS DONE,
COALESCE((SELECT COUNT(ID) FROM USERS_LIKES WHERE USERS_LIKES.USERID = USERS.ID),0) AS NUM_LIKES,
COALESCE((SELECT COUNT(ID) FROM FOLLOW WHERE FOLLOW.USER_ID=USERS.ID),0) AS FOLLOWING,
COALESCE((SELECT COUNT(ID) FROM FOLLOW WHERE FOLLOW.FOLLOW_ID=USERS.ID),0) AS FOLLOWERS
FROM USERS
WHERE USERS.ID = ?
) u;
This takes advantage of the fact that MySQL treats booleans as integers in a numeric context, with "1" for true and "0" for false.
EDIT: I should also note that the coalesce() is unnecessary because count() will return 0 when there are no matches.