I am trying to run this sum query to produce two columns of Turnover one for TY and another for LY. However, I want any transactions flagged as Cancelled to appear as negatives:
select [Location],BR.BranchName,
sum(case when (FX.TransactionDateKey between '20171101' and '20181031')
and ([Action] = 'Cancelled')
then FX.CustomerValue*-1 else [CustomerValue] end) as [CustmVal TY],
sum(case when (FX.TransactionDateKey between '20161101' and '20171031')
and ([Action] = 'Cancelled')
then FX.CustomerValue*-1 else FX.CustomerValue*1 end) AS [CustmVal LY]
from [dbo].[FRX_Transactions] FX
inner join DWX_Branch BR on BR.BranchID=FX.[Location]
where FX.TransactionDateKey between '20161101' and '20181031' and BR.BusinessDivision = 'Retail'
and FX.[Action] in ('Trade','cancelled') and FX.Reason in ('Public','BBG','Overridesupplyrate') and FX.Operation in ('Add','Del')
group by FX.[Location],BR.BranchName, BR.BranchOpenDate,BR.BranchCloseDate,BR.ActiveStatus
order by BR.BranchName
However, when I run it I get similar data in both columns - it seems to ignore the date conditions.
Please, what am I doing wrong? Is this case-when-statement with TWO conditions written wrong?
Any help would be HUGELY appreciated. Massive thanks!
I think what you actually want for your CASE expression is:
CASE WHEN FX.TransactionDateKey BETWEEN '20171101' AND '20181031' THEN [CustomerValue] *
CASE WHEN [Action] = 'Cancelled' THEN -1 ELSE 1 END
END
Related
I need some advice and suggestions if there is available some way of doing something like this:
SELECT Status=Case
WHEN clflf.product='active'
THEN 'Active' ELSE 'NotActive' END;
this basically creates active or notactive in one column.
Is there some way of doing a case when or some other technique so that I can have two columns, 'Active' and 'NotActive'?
You need separate case statements, like so.
Select StatusActive = Case when clflf.product='active' then 1 ELSE 0 end
,StatusNotActive = Case when clflf.product <>'active' then 1 ELSE 0 end
You can always do
SELECT active,
1 - active AS notactive
FROM clflf
CROSS APPLY (SELECT CASE
WHEN clflf.product = 'active' THEN 1
ELSE 0
END) CA(active)
Ok so this is going to sound a little complicated. I want to somehow put some kind of function that will divide a table value by two when its Policy number matches up with a policy number in another table.
Here is the query where I want that functions
SELECT
qryReinsuranceDPA1_izzy.POLICY_NO,
qryReinsuranceDPA1_izzy.PHASE_CODE,
qryReinsuranceDPA1_izzy.SUB_PHASE_CODE,
qryReinsuranceDPA1_izzy.SchedNP,
qryReinsuranceDPA1_izzy.ProdType,
Sum(qryReinsuranceDPA1_izzy.SumOfAMOUNT_INFORCE) AS SumOfSumOfAMOUNT_INFORCE,
Sum(qryReinsuranceDPA1_izzy.SumOfPUA_FACE) AS SumOfSumOfPUA_FACE,
Sum(qryReinsuranceDPA1_izzy.SumOfOYT_FACE) AS SumOfSumOfOYT_FACE, TotalDPA = sum(case when qryReinsuranceDPA1_izzy.[SumOfNetDefExtraAdj] Is Null then qryReinsuranceDPA1_izzy.[SumOfNetDefPremiumAdj] else qryReinsuranceDPA1_izzy.[SumOfNetDefPremiumAdj] +qryReinsuranceDPA1_izzy.[SumOfNetDefExtraAdj] end),
qryReinsuranceDPA1_izzy.SumOfGROSS_ANNLZD_PREM,
qryReinsuranceDPA1_izzy.SumOfStatNetPremium,
qryReinsuranceDPA1_izzy.[SumOfStatNetPremium]/qryReinsuranceDPA1_izzy.[SumOfGROSS_ANNLZD_PREM] AS NetToGrossRatio,
qryReinsuranceDPA1_izzy.NetvsGrossInd,
DPA_NetPrem = case when qryReinsuranceDPA1_izzy.[NetvsGrossInd]='Net' then sum(qryReinsuranceDPA1_izzy.[SumOfStatNetPremium]) else sum([qryReinsuranceDPA1_izzy].[SumOfGROSS_ANNLZD_PREM]) end,
qryPolicyListforNYDefPRemAsset_Re.ReinType AS ReinType,
Sum(qryPolicyListforNYDefPRemAsset_Re.ReinsAmount) AS SumOfReinsAmount,
qryPolicyListforNYDefPRemAsset_Re.[ReinsAmount]/(qryReinsuranceDPA1_izzy.[SumOfAMOUNT_INFORCE]+qryReinsuranceDPA1_izzy.[SumOfOYT_FACE]+qryReinsuranceDPA1_izzy.[SumOfPUA_FACE]) AS [Reins%],
qryPolicyListforNYDefPRemAsset_Re.ReinsStatRsv AS ReinsStatRsv,
Sum(qryPolicyListforNYDefPRemAsset_Re.SumOfGROSS_ANNLZD_PREM) AS ReinsPrem, qryReinsuranceDPA1_izzy.PAID_TO_DATE,
qryReinsuranceDPA1_izzy.VAL_DATE,
qryReinsuranceDPA1_izzy.ISSUE_DATE
FROM qryPolicyListforNYDefPRemAsset_Re RIGHT JOIN
qryReinsuranceDPA1_izzy
ON
qryReinsuranceDPA1_izzy.POLICY_NO = qryPolicyListforNYDefPRemAsset_Re.POLICY_NO
AND qryReinsuranceDPA1_izzy.PHASE_CODE = qryPolicyListforNYDefPRemAsset_Re.PHASE_CODE AND
qryReinsuranceDPA1_izzy.SUB_PHASE_CODE= qryPolicyListforNYDefPRemAsset_Re.SUB_PHASE_CODE
GROUP BY
qryReinsuranceDPA1_izzy.POLICY_NO,
qryReinsuranceDPA1_izzy.PHASE_CODE,
qryReinsuranceDPA1_izzy.SUB_PHASE_CODE,
qryReinsuranceDPA1_izzy.SchedNP,
qryReinsuranceDPA1_izzy.ProdType,
qryReinsuranceDPA1_izzy.SumOfGROSS_ANNLZD_PREM,
qryReinsuranceDPA1_izzy.SumOfStatNetPremium,
qryReinsuranceDPA1_izzy.[SumOfStatNetPremium]/qryReinsuranceDPA1_izzy.[SumOfGROSS_ANNLZD_PREM],
qryReinsuranceDPA1_izzy.NetvsGrossInd,
qryPolicyListforNYDefPRemAsset_Re.ReinType,
qryPolicyListforNYDefPRemAsset_Re.[ReinsAmount]/(qryReinsuranceDPA1_izzy.[SumOfAMOUNT_INFORCE]+qryReinsuranceDPA1_izzy.[SumOfOYT_FACE]+qryReinsuranceDPA1_izzy.[SumOfPUA_FACE]),
qryPolicyListforNYDefPRemAsset_Re.ReinsStatRsv,
qryReinsuranceDPA1_izzy.PAID_TO_DATE,
qryReinsuranceDPA1_izzy.VAL_DATE,
qryReinsuranceDPA1_izzy.ISSUE_DATE
GO
and this is the qry that contains the policy numbers that I want divided by 2 in the above qry.
SELECT
qryReinsuranceDPA1.POLICY_NO,
qryReinsuranceDPA1.PHASE_CODE,
qryReinsuranceDPA1.SUB_PHASE_CODE,
qryReinsuranceDPA1.ProdType,
TotalDPA = Sum(case when [SumOfNetDefExtraAdj] Is Null then [SumOfNetDefPremiumAdj] else [SumOfNetDefPremiumAdj] + SumOfNetDefExtraAdj end),
Sum(1) AS Expr1
FROM qryPolicyListforNYDefPRemAsset_Re RIGHT JOIN qryReinsuranceDPA1
ON
qryReinsuranceDPA1.POLICY_NO = qryPolicyListforNYDefPRemAsset_Re.POLICY_NO AND
qryReinsuranceDPA1.PHASE_CODE= qryPolicyListforNYDefPRemAsset_Re.PHASE_CODE AND
qryReinsuranceDPA1.SUB_PHASE_CODE = qryPolicyListforNYDefPRemAsset_Re.SUB_PHASE_CODE
GROUP BY qryReinsuranceDPA1.POLICY_NO,
qryReinsuranceDPA1.PHASE_CODE,
qryReinsuranceDPA1.SUB_PHASE_CODE,
qryReinsuranceDPA1.ProdType
HAVING (((Sum(1))<>1))
GO
quick example. Say that the Policy number 064543200 is located in the results of that second qry. I then want the number located in first qry in Total DPA assosciated with that Policy number to be divided by 2.
If this is still confusing please let me know and I will try to explain better. Both are views.
i have a table Plan with following sample data
i want to aggregate the result by PlanMonth and for PlanStatus i want that if any of its (in a group) values is Drafted i get drafted in the result and Under Approval otherwise. i have done it using following query
select PlanMonth, case when Flag=1 then 'Drafted' else 'Under Approval' end as PlanStatus
from
(select p.PlanMonth, Max(CASE WHEN p.PlanStatus = 'Drafted' THEN 1 ELSE 0 END) Flag
from Plans p
group by p.PlanMonth
) inquery
i have consulted this blog post. Is there something wrong with it? Moreover, if someone can help me translate it to linq i will be grateful
The query you have will work.
With the sample data you have provided it can be simplified a bit.
select p.PlanMonth,
min(p.PlanStatus) as PlanStatus
from Plans as p
group by p.PlanMonth
This will not work if you have values in PlanStatus that is alphabetically sorted before Drafted.
Following Linq query worked for me
return (from p in db.mktDrVisitPlans
group p by p.PlanMonth into grop
select
new VMVisitPlan
{
PlanMonth = grop.Key
PlanStatus = grop.Any(x=>x.p.PlanStatus == "Drafted")?"Hold":"Under Approval",
}).ToList();
SELECT dteRun,
CASE WHEN coalesce(nPriorityCode,0) <= 0 THEN 3
ELSE nPriorityCode
END AS nPriorityCode,
CASE WHEN sCommand IN ('DiaryWF','XC_Reminder') THEN '*'
ELSE ''
END as Alert,
sParentRef,
nWorkflowTypeCode,
sSubjectName,
sDescription,
sUniqueRef,
sUserInfo,
sUserInfo2
FROM AuroraTasksDiaryView ad
INNER JOIN UserAuthority
ON UserAuthority.UserName = ad.sOwningUser
AND ad.sOwningUser = 'ammonsd' AND ad. nErrorCode = -1
AND ad.sExcludedUser <> ad.sOwningUser
AND UserAuthority.FunctionCode = ad.sFunctionCode
AND ( (UserAuthority.LowerBound <= ad.nTaskValue
AND UserAuthority.UpperBound >= ad.nTaskValue)
OR ad.sFunctionCode = 'RTS')
AND RowNum <= 100
ORDER BY dteRun
When I omit "Order By dteRun" query runs in milliseconds however with Order By Clause it take more than minute. Whats problem with Order By Clause ?
There's presumably no index on the dteRun column. If you want to do fast ORDER BY on a column, it needs an index.
It needs an Index on columns in your Order By clause preferably in the same order.
My web app deals with polls (surveys). Right now I have 2 tables as part of database schema.
polls
id
question
choices (ex: yes,no,maybe)
created
polls_responses
poll_id
user_id
tracker_id
response
The problem with this is that on some polls I have alot of responses (>1000). People can view the results of the polls and it will show how many users voted for yes, no, or maybe and how many anonymous users voted yes, no, or maybe. The problem with this is that whenever a user views the results of the poll, it has to loop through all the responses and count the total # of responses, # of responses for each choice, # of responses for each choice made by users, and # of responses for each choice made by tracker_id (anonymous users) and calculate percentages and display it in a bar graph. This makes the page load really slow. I was thinking of denormalizing the database to increase performance so that we have something like this
polls
id
question
choices (ex: yes,no,maybe)
total_responses (ex: 10,3,3,4)
user_responses (ex: 5,2,2,1)
anon_responses (ex: 5,1,3,1)
created
polls_responses
poll_id
user_id
tracker_id
response
That is, for the value in total_responses, the 10 is the total, 3 is the # of responses for choice yes, 3 is the # of responses for choice no, and 4 is the # of responses for choice maybe. The same format applies to user_responses and anon_responses fields. If I could get some opinions on this method, it would be greatly appreciated! Thanks for your time.
EDIT: I'm using MySQL
Firstly, I do not think you need to loop to count this.
Have a look at something like this
SELECT poll_id,
COUNT(response) Total,
SUM(CASE WHEN response = 'Y' THEN 1 ELSE 0 END) TotalYes,
SUM(CASE WHEN response = 'N' THEN 1 ELSE 0 END) TotalNo,
SUM(CASE WHEN response = 'M' THEN 1 ELSE 0 END) TotalMaybe,
SUM(CASE WHEN [user_id] IS NOT NULL AND response = 'Y' THEN 1 ELSE 0 END) UserYes,
SUM(CASE WHEN [user_id] IS NOT NULL AND response = 'N' THEN 1 ELSE 0 END) UserNo,
SUM(CASE WHEN [user_id] IS NOT NULL AND response = 'M' THEN 1 ELSE 0 END) UserMaybe,
SUM(CASE WHEN tracker_id IS NOT NULL AND response = 'Y' THEN 1 ELSE 0 END) TrackerYes,
SUM(CASE WHEN tracker_id IS NOT NULL AND response = 'N' THEN 1 ELSE 0 END) TrackerNo,
SUM(CASE WHEN tracker_id IS NOT NULL AND response = 'M' THEN 1 ELSE 0 END) TrackerMaybe
FROM polls_responses
GROUP BY poll_id
This should get you the respective results per poll_id, from where you can then join back to the table to retrieve the poll details.
Don't be afraid to use the database to do some heavy lifting for you. You don't have to loop through all the responses in your output.
You haven't specified your database platform, but you could probably handle this in the database using some joins and aggregate functions, or some sub-selects.