I have this chunk of code:
select groupID,
(sum(h2h)/count(ptID))*100 as h2h,
(sum(h2m)/count(ptID))*100 as h2m,
(sum(h2l)/count(ptID))*100 as h2l,
(sum(m2h)/count(ptID))*100 as m2h,
(sum(mtm)/count(ptID))*100 as mtm,
(sum(mtl)/count(ptID))*100 as mtl,
(sum(l2h)/count(ptID))*100 as l2h,
(sum(l2m)/count(ptID))*100as l2m,
(sum(l2l)/count(ptID))*100 as l2l
from #df1
group by groupID
order by groupID
I am essentially trying to get percentages by risk group. when I run this code i am getting zeros for all of my outputs.
When I break up the code in two steps, I seem to be getting what I what:
step 1:
select groupID,
count(ptID) as countID,
sum(h2h) h2h,
sum(h2m) h2m,
sum(h2l) h2l,
sum(m2h) m2h,
sum(m2m) m2m,
sum(m2l) m2l,
sum(l2h) l2h,
sum(l2m) l2m,
sum(l2l) l2l
from #df1
group by groupID
order by groupID
step 2:
divide all the columns by the ptIDs to get percentages.
Would love to know if there is a way to combine the 2 steps and have the percentages work.
Related
I am trying to get the Activity ID linked to Dispatch. In the data Attrib_43 will only get populated if Dispatch is created.
What i am looking to do is to get the Activity ID of the previous row before the Dispatch created.
Attached is the code that i am using
Select sea.ROW_ID, sea.CREATED_DTTM,sea.SRA_SR_ID,sea.ATTRIB_43, tsk.CRT_DTS, tsk.TASK_DESC, datediff(ss,sea.CREATED_DTTM, tsk.CRT_DTS) as dd
, seal.x_isp_notes, seal.x_isp_comments, seal.comments, seal.x_isp_agent_desc
, tsk.TASK_SUB_TYPE_CD, tsk.TASK_TYPE_CD, tsk.WHAT_ID
, cdl.ORIGIN_NM
,LAG(sea.ROW_ID,1) over (partition by sea.ATTRIB_43 order by sea.CREATED_DTTM) AS 'FLAGID'
--, tsk.*,
, fdc.FISCAL_QUARTER
from GSEDATA.dbo.X_ISP_EXTRNL_CASE_ID sea
join rawdata.corp_ww.FISCAL_DAY_CALENDAR fdc on sea.CREATED_DATE = fdc.ACTUAL_DATE
left join rawdata.svc_base.SFDC_TASK_DTL tsk on sea.X_ISP_EXTRNL_CASE_ID = tsk.TASK_ID
left join rawdata.svc_base.SFDC_CASE_DTL cdl on cdl.case_id = tsk.what_id
left join GSEDATA.dbo.s_evt_act_logs seal on sea.ROW_ID = seal.row_id
where --sea.ATTRIB_43 = '04391481876'
sea.SRA_SR_ID = 'A-2Q7YF57W'
order by sea.CREATED_DTTM
But it is not working as per my Expectation - Activity ID flag for Attrib 43 is coming as Null
If I understand your question correctly, you are getting null FLAGID for non- null attrib_43 becuase you are using a partition by sea.ATTRIB_43 clause.
Partition by divides the query result set into partitions. The window function is applied to each partition separately and computation restarts for each partition.
That is why the null values for ATTRIB_43 are grouped into one window and the non-null ATTRIB_43 will have a separate window for each distinct value, therefore giving a NULL for LAG() function in the first row of each window.
you should remove the clause partition by sea.ATTRIB_43 if you want lag values for all rows.
LAG(sea.ROW_ID,1) over (order by sea.CREATED_DTTM) AS 'FLAGID'
This script does give me the list of changed rows but I also need to make sure that the number of changed rows should be equal to the number of rows those were update in the last 1 hour which would give me more comfort level on validation.
Here is the code which gives me the list of changed rows. Except does give me all the rows from the first select statement which are not in the second select if I am not wrong. I am just wondering how to check the number of rows that were updated in the last hr which must match the count of rows when I run this below query.
Select [Accounting_Period_ID]
,[Policy_Number]
,[Risk_ID]
,[Product_ID]
,[Inception_Date_ID]
,[Effective_Date_ID]
,[Expiration_Date_ID]
,[Cancellation_Date_ID]
,[Reinstate_Date_ID]
,[Policy_Source_System_ID]
,[Risk_Geo_ID]
,[Risk_Profile_ID]
,[Policy_Status_ID]
,[Agency_ID]
,[Limit_Selection_ID]
,[Written_Premium_MTD]
,[Written_Premium_ITD]
,[Fees_MTD]
,[Fees_ITD]
,[Commission_MTD]
,[Commission_ITD]
,[Earned_Premium_MTD]
,[Earned_Premium_ITD]
,[In_Force_Count]
,[New_Business_Count]
,[Renewed_Count]
,[Cancelled_Count]
,[Reinstated_Count]
,[Dwelling_Limit]
,[Other_Structures_Base_Limit]
,[Other_Structures_Extended_Limit]
,[Other_Structures_Total_Limit]
,[Contents_Limit]
,[Additional_Living_Expense_Limit]
,[Liability_Limit]
,[Medical_Limit]
,[Total_Insured_Value]
,[Replacement_Value]
,[AOP_Deductible]
,[Days_in_Force]
,[Earned_House_Years]
,[Cancellation_Entry_Date_ID]
,[Reinstate_Entry_Date_ID]
,[Seq]
,[Inserted_Date]
,[Inserted_By]
,[Last_Updated_Date]
,[Last_Updated_By]
,[Insurance_score]
,[Rewrite_Count]
,[Entry_Date_ID] from Datamart.Policy.Fact_Monthly_Policy_Snap_20190403
where Policy_Source_System_ID = 8
EXCEPT
Select [Accounting_Period_ID]
,[Policy_Number]
,[Risk_ID]
,[Product_ID]
,[Inception_Date_ID]
,[Effective_Date_ID]
,[Expiration_Date_ID]
,[Cancellation_Date_ID]
,[Reinstate_Date_ID]
,[Policy_Source_System_ID]
,[Risk_Geo_ID]
,[Risk_Profile_ID]
,[Policy_Status_ID]
,[Agency_ID]
,[Limit_Selection_ID]
,[Written_Premium_MTD]
,[Written_Premium_ITD]
,[Fees_MTD]
,[Fees_ITD]
,[Commission_MTD]
,[Commission_ITD]
,[Earned_Premium_MTD]
,[Earned_Premium_ITD]
,[In_Force_Count]
,[New_Business_Count]
,[Renewed_Count]
,[Cancelled_Count]
,[Reinstated_Count]
,[Dwelling_Limit]
,[Other_Structures_Base_Limit]
,[Other_Structures_Extended_Limit]
,[Other_Structures_Total_Limit]
,[Contents_Limit]
,[Additional_Living_Expense_Limit]
,[Liability_Limit]
,[Medical_Limit]
,[Total_Insured_Value]
,[Replacement_Value]
,[AOP_Deductible]
,[Days_in_Force]
,[Earned_House_Years]
,[Cancellation_Entry_Date_ID]
,[Reinstate_Entry_Date_ID]
,[Seq]
,[Inserted_Date]
,[Inserted_By]
,[Last_Updated_Date]
,[Last_Updated_By]
,[Insurance_score]
,ISNULL([Rewrite_Count],0) Rew
,[Entry_Date_ID] from Datamart.Policy.Fact_Monthly_Policy_Snap
where Policy_Source_System_ID = 8
DATEADD(hh,-1,GETDATE()) gives you the actual Time minus 1 hour .this you can compare with Last_Updated_Date.
Count(*) gives you the number of rows.
I have the below tables in my DB.
Orders:
OrderNo.........ItemNo........OrderQty
1000________10_________10
2000________20_________10
VendorPO:
OrderNo.........ItemNo........VendorPO........POQty
1000________10_________100__________5
2000________20_________100__________7
2000________20_________200__________3
And I used this Query:
SELECT Order.OrderNo, Order.ItemNo, Order.OrderQty, VendorPO.VendorPO, VendorPO.POQty
FROM [Order]
INNER JOIN VendorPO ON (Order.ItemNo = VendorPO.ItemNo)
AND (Order.OrderNo = VendorPO.OrderNo);
With these results:
Query Result
OrderNo.........ItemNo........OrderQty........VendorPO........POQty
1000________10__________10_________100__________5
2000________20__________10_________100__________7
2000________20__________10_________200__________3
I want to avoid repetition of the quantity in the query result, where Item quantity 10 is repeated twice against two PO reference with POQty 3 and 7.
I appreciate your support on finding a way to avoid order quantity repetition.
I want to write the following T SQL query in MDX
Select count(bugs),priority from table
where
Case when priority =1 then startdate< dateadd(dd,-7,getdate())
when priority =2 then startdate< dateadd(dd,-14,getdate())
end
group by priority
Tried the following but not working
WITH MEMBER [Measures].CHECKING
AS
CASE [Item].[ startdate].CurrentMember
WHEN [Item].[ Priority].&[1] THEN [Item].[startdate]<DATEADD(DAY,-7,NOW())
WHEN [Item].[ Priority].&[2] THEN [Item].[startdate]<DATEADD(DAY,-14,NOW())
END
SELECT
NON EMPTY{[Measures].[Count], [Measures].CHECKING }ON COLUMNS
,NON EMPTY{([Item].[ Priority].[ Priority].ALLMEMBERS )}
I am new to MDX queries, any suggestions on how to approach this please..
Your CASE logic has a basic problem. The statement cannot result in a condition. It can only result in a value that you then compare to something else.
To take your tSQL example, I think it should read more like this:
Select count(bugs),priority from table
where
1 = Case when priority = 1 and startdate< dateadd(dd,-7,getdate()) Then 1
when priority = 2 and startdate< dateadd(dd,-14,getdate()) then 1
else 0 end
group by priority
A cleaner way to write this would be to skip the CASE altogether.
Select count(bugs),priority from table
where
(priority = 1 and startdate< dateadd(dd,-7,getdate()))
or
(priority = 2 and startdate< dateadd(dd,-14,getdate()))
group by priority
I am assuming the following:
Your startdate hierarchy is an attribute hierarchy, not a user hierarchy and
the current day is its last member.
Then the following MDX should deliver what you want:
SELECT
{ [Measures].[Count] }
ON COLUMNS
,
{ [Item].[ Priority].&[1], [Item].[ Priority].&[2] }
ON ROWS
FROM (
SELECT ({ [Item].[ Priority].&[1] }
*
([Item].[ startdate].[ startdate].Members
- Tail([Item].[ startdate].[ startdate].Members, 7)
)
)
+
({ [Item].[ Priority].&[2] }
*
([Item].[ startdate].[ startdate].Members
- Tail([Item].[ startdate].[ startdate].Members, 14)
)
)
ON COLUMNS
FROM [yourCube]
)
Your code [Item].[startdate]<DATEADD(DAY,-7,NOW()) does not work in MDX for several reasons: firstly, [Item].[startdate] is a hierarchy, and hence cannot be compared using <. Secondly, even if you would re-state it as [Item].[startdate].CurrentMember < DATEADD(DAY,-7,NOW()), you would have a member on the left side of the <, and a date , i. e. a value, on the right side. One of the important things to keep in mind with MDX are the different types of objects: Hierarchies, levels, members, tuples, sets. And all these are not values. You do not just have columns like in SQL.
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.