following is my Query to generate the Pivoted result:
SELECT '# of Corrective Actions open and overdue' as [Corrective Actions breakdown],
[405],
[2865],
[3142],
[405]+[2865]+[3142] as [Total]
FROM
(Select il.Locationid , ca.CorrectiveActionsid, il.locOrder, ca.isDeleted caDeleted, i.isDeleted iDeleted, i.CompanyId companyid,ca.CADateBy, ca.Status from IncidentLocation il inner join incident i on il.IncidentId = i.IncidentId
inner join CorrectiveActions ca on i.IncidentId = ca.IncidentId
) AS SourceTable
PIVOT
(
COUNT(CorrectiveActionsid)
FOR LocationId IN ([405],[2865],[3142])
) PivotTable
where locOrder = 0 and caDeleted =0 and iDeleted = 0 and companyId = 210
and CADateBy <= '2013-01-01' and [Status] = 'Open'
I was thinking for blank data the count should return o. But I am getting no result at all. Please guide me what wrong I am doing and what should I do to get zero instead of blank for all the counted values.
looks like your query doesn't return any row, you can fix it like this (I've not fixed other parts of query, just want to show you a workaround):
select
A.[Corrective Actions breakdown],
coalesce([405], 0) as [405],
coalesce([2865], 0) as [2865],
coalesce([3142], 0) as [3142],
coalesce([405], 0) + coalesce([2865], 0) + coalesce([3142], 0) as [Total]
from (select '# of Corrective Actions open and overdue' as [Corrective Actions breakdown]) as A
outer apply (
SELECT
[405],
[2865],
[3142]
FROM
(Select il.Locationid , ISNULL(ca.CorrectiveActionsid, 0) AS CorrectiveActionsid, il.locOrder, ca.isDeleted caDeleted, i.isDeleted iDeleted, i.CompanyId companyid,ca.CADateBy, ca.Status from IncidentLocation il inner join incident i on il.IncidentId = i.IncidentId
inner join CorrectiveActions ca on i.IncidentId = ca.IncidentId
) AS SourceTable
PIVOT
(
COUNT(CorrectiveActionsid)
FOR LocationId IN ([405],[2865],[3142])
) PivotTable
where locOrder = 0 and caDeleted =0 and iDeleted = 0 and companyId = 210
and CADateBy <= '2013-01-01' and [Status] = 'Open'
) as p
I would expect the count() to return 0. If it doesn't, you can try using coalesce():
coalesce([405], 0) as [405]
In SQL Server COUNT will ignore NULL values. That being said, use an ISNULL function on the column you are going to aggregate.
SELECT '# of Corrective Actions open and overdue' as [Corrective Actions breakdown],
[405],
[2865],
[3142],
[405]+[2865]+[3142] as [Total]
FROM
(Select il.Locationid , ISNULL(ca.CorrectiveActionsid, 0) AS CorrectiveActionsid, il.locOrder, ca.isDeleted caDeleted, i.isDeleted iDeleted, i.CompanyId companyid,ca.CADateBy, ca.Status from IncidentLocation il inner join incident i on il.IncidentId = i.IncidentId
inner join CorrectiveActions ca on i.IncidentId = ca.IncidentId
) AS SourceTable
PIVOT
(
COUNT(CorrectiveActionsid)
FOR LocationId IN ([405],[2865],[3142])
) PivotTable
where locOrder = 0 and caDeleted =0 and iDeleted = 0 and companyId = 210
and CADateBy <= '2013-01-01' and [Status] = 'Open'
Related
I have a table with customers that I join with a fact table with sales, based on invoices.
What I need from my report is to get in first part the biggest value of sales based on the incoming order type (1,2,3,C,D) for a customer for last year. And in the second part to get the same but for current year. What I get as result from my current query is all incoming order types with the customer revenue made for each of them. I tried with outer apply as subquery to get only the top 1 value ordered by revenue descending, but in the result I get the same - For all order types the customer revenue. Please help! I hope my explanation isn't understood only by me (happens a lot..)
use dwh01;
WITH OrderTypeUsedLY AS
(
SELECT
c.CustomerKey
,c.BranchId
,c.CustomerId
,c.CustomerName
,ISNULL(SUM(y.[Sale_Revenue]), 0) as [Sale_Revenue_LY]
,ISNULL(SUM(y.[Sale_GrossMarginTotal]), 0) as [Sale_GrossMarginTotal_LY]
,y.IncomingOrderTypeId as IncomingOrderType_LY
FROM live.DimCustomer c
left join (SELECT s.CustomerKey,iot.IncomingOrderTypeid, s.[Sale_Revenue], s.[Sale_GrossMarginTotal] FROM [dwh01].[live].[FactSales] s
inner join live.DimDate d
on d.DateId = s.PostingDateKey
inner join live.DimIncomingOrderType iot on iot.IncomingOrderTypeKey = s.IncomingOrderTypeKey
where s.ReportCurrencyId = 'LC'
and D.Year = YEAR(GETDATE())-1 --- Last Year
) y on c.CustomerKey = y.CustomerKey
where c.CustomerKey = '157053'
group by c.CustomerKey, c.CustomerId, c.CustomerName, c.BranchId, y.IncomingOrderTypeId
),
--*********************************************************************************************************************************--
OrderTypeCY as(
SELECT
c.CustomerKey
,c.BranchId
,c.SalesRepKey
,c.CustomerId
,c.CustomerName
,ISNULL(SUM(y.[Sale_Revenue]), 0) as [Sale_Revenue_CY]
,ISNULL(SUM(y.[Sale_GrossMarginTotal]), 0) as [Sale_GrossMarginTotal_CY]
,y.IncomingOrderTypeId as IncomingOrderType_CY
FROM live.DimCustomer c
left join (SELECT s.CustomerKey,iot.IncomingOrderTypeid, s.[Sale_Revenue], s.[Sale_GrossMarginTotal] FROM [dwh01].[live].[FactSales] s
inner join live.DimDate d
on d.DateId = s.PostingDateKey
inner join live.DimIncomingOrderType iot on iot.IncomingOrderTypeKey = s.IncomingOrderTypeKey
where s.ReportCurrencyId = 'LC'
and D.Year = YEAR(GETDATE()) --- Current Year
) y on c.CustomerKey = y.CustomerKey
where c.CustomerKey = '157053'
group by c.CustomerKey, c.CustomerId, c.CustomerName, c.BranchId, y.IncomingOrderTypeId, c.SalesRepKey
)
--*********************************************************************************************************************************--
SELECT
otly.BranchId,
rep.SalesRepId,
rep.SalesRepName,
otly.CustomerId,
otly.CustomerName,
otly.Sale_Revenue_LY,
otly.Sale_GrossMarginTotal_LY,
IncomingOrderType_LY,
otcy.Sale_Revenue_CY,
otcy.Sale_GrossMarginTotal_CY,
IncomingOrderType_CY
from OrderTypeUsedLY otly
left join OrderTypeCY otcy
on otly.CustomerKey = otcy.CustomerKey
join live.DimCustomer cus on cus.CustomerKey = otcy.CustomerKey
join live.DimSalesRep rep on rep.SalesRepKey = otcy.SalesRepKey
order by otcy.Sale_Revenue_CY desc, otly.Sale_Revenue_LY desc
,rep.SalesRepId
And here is the outer apply I tried:
outer apply (
SELECT top 1
iot.IncomingOrderTypeId,
Sale_Revenue
FROM [dwh01].[live].DimIncomingOrderType iot
where iot.IncomingOrderTypeKey = y.IncomingOrderTypeKey
order by Sale_Revenue desc) x
In the first select ( with OrderTypeUsed_LY ) I get this:
And I get the same in the second select, but with the values for current year.
The purpose of the report is to see the difference in the incoming order type most used (most profit made with it) for a customer last year and to see if he continues to use it this year, or uses another incoming order type this year.
Again I'm sorry for the bad explanation, I'm trying my best (I understand myself very well)
Here is the expected result:
Expected Result
I marked in red the last year part and in green the current year part.
If you change the subquery to:
SELECT
iot.IncomingOrderTypeKey,
MAX(Sale_Revenue)
FROM [dwh01].[live].DimIncomingOrderType iot
GROUP BY iot.IncomingOrderTypeKey
then you can JOIN (not APPLY) directly on IncomingOrderTypeKey AND Sale_Revenue.
Try this:
USE dwh01;
DECLARE #CustomerKey varchar(6) = '157053'
, #ReportCurrencyId varchar(2) = 'LC'
, #CurrentYear int = YEAR(GETDATE())
, #TargetYear int = YEAR(GETDATE())-1
;
WITH FactsTable AS
(
SELECT
s.CustomerKey
, i.IncomingOrderTypeid
, [Sale_Revenue] = ISNULL(s.[Sale_Revenue] , 0)
, [Sale_GrossMarginTotal] = ISNULL(s.[Sale_GrossMarginTotal], 0)
, d.[Year]
FROM [dwh01].[live].[FactSales] s
inner join live.DimDate d on d.DateId = s.PostingDateKey
inner join live.DimIncomingOrderType i on i.IncomingOrderTypeKey = s.IncomingOrderTypeKey
where
s.CustomerKey = #CustomerKey
and s.ReportCurrencyId = #ReportCurrencyId
)
, OrderTypeTable
(
SELECT
c.CustomerKey
, c.BranchId
, c.CustomerId
, c.CustomerName
, c.SalesRepKey
, IncomingOrderType_LY = SUM(CASE WHEN y.[Year] = #TargetYear THEN y.IncomingOrderTypeId ELSE 0 END)
, [Sale_Revenue_LY] = SUM(CASE WHEN y.[Year] = #TargetYear THEN y.[Sale_Revenue] ELSE 0 END)
, [Sale_GrossMarginTotal_LY] = SUM(CASE WHEN y.[Year] = #TargetYear THEN y.[Sale_GrossMarginTotal] ELSE 0 END)
, IncomingOrderType_LY = SUM(CASE WHEN y.[Year] = #CurrentYear THEN y.IncomingOrderTypeId ELSE 0 END)
, [Sale_Revenue_CY] = SUM(CASE WHEN y.[Year] = #CurrentYear THEN y.[Sale_Revenue] ELSE 0 END)
, [Sale_GrossMarginTotal_CY] = SUM(CASE WHEN y.[Year] = #CurrentYear THEN y.[Sale_GrossMarginTotal] ELSE 0 END)
FROM live.DimCustomer c
left join FactsTable y on y.CustomerKey = c.CustomerKey
group by
c.CustomerKey
, c.BranchId
, c.CustomerId
, c.CustomerName
, y.IncomingOrderTypeId
, c.SalesRepKey
)
SELECT
O.BranchId
, R.SalesRepId
, R.SalesRepName
, O.CustomerId
, O.CustomerName
, O.Sale_Revenue_LY
, O.Sale_GrossMarginTotal_LY
, O.IncomingOrderType_LY
, O.Sale_Revenue_CY
, O..Sale_GrossMarginTotal_CY
, O.IncomingOrderType_CY
from OrderTypeTable O
join live.DimSalesRep R on R.SalesRepKey = O.SalesRepKey
order by
O.Sale_Revenue_CY desc
, O.Sale_Revenue_LY desc
, R.SalesRepId
The solution is with using row_number() function in the inner query of the first CTE:
(
select *, row_number() over (partition by x0.CustomerKey order by x0.Sale_Revenue desc) as rn
from
(
select fs.CustomerKey, iot.IncomingOrderTypeKey,
sum(fs.Sale_Revenue) as Sale_Revenue
FROM [dwh01].[live].DimIncomingOrderType iot
join live.FactSales fs
on iot.IncomingOrderTypeKey = fs.IncomingOrderTypeKey
join live.DimDate d
on d.DateId = fs.PostingDateKey
where d.[year] = #CurrentYear
GROUP BY fs.CustomerKey, iot.IncomingOrderTypeKey
) as x0
) as x1 on x1.CustomerKey = s.CustomerKey
The row_number() function gets only the first row from the result for each customer, and that is with the biggest sale revenue ( order by sale_revenue desc).
I have a simple SQL query, with a handful of joined queries.
In my select I have a function shaping the date to a string format as below
LEFT(REPLACE(ADM_DT,'-',''),8)+REPLACE(ADM_TM,':','')+'00'
The script I am running should return 84 rows currently, but when executing the above in the select, it continuosly returns a different volume of rows every execution? there are no changes to the underlying tables between executions.
The strange thing is that whe I swith this back to a standard date conversion, the rows total 84
CONVERT(DATETIME,CONVERT(NVARCHAR,ADM_DT)+' '+ADM_TM)
Can anyone explain why SQL is behaving this way, I have not seen this before?
Full script below:
SELECT
[Visit ID] = a050.HSP_NO
,[Current Site] = currwd.HOSP
,[Current Specialty] = curr.SPEC
,[Current Ward] = currwd.WARD
,[Current Ward Name] = REPLACE(currwd.CURRDESC,'"','')
,[Current Consultant] = curr.PROF
,[Admission Date] = LEFT(REPLACE(ADM_DT,'-',''),8)+REPLACE(ADM_TM,':','')+'00'
,[Active] = '1'
,[PAS ID] = [crn].[crn]
,[Patient Class] = 'IP'
,NHS.[nhsno]
,CHI.CHI
,CASE WHEN OSV.X_CN IS NOT NULL THEN 'OSV' ELSE '' END OSV
,CASE WHEN NHS.[nhsno] LIKE '7%' THEN '7 NHSNO' ELSE '' END [PROBLEM NHS NO]
,DATEDIFF(D,PATS.DATE_OF_BIRTH,CONVERT(DATE,ADM_DT)) /365 [AGE ON ADMISSION]
FROM PCSSSA..SILVER.APK050_HPROVSPELL a050 WITH (NOLOCK)
-- Current Admission details
LEFT JOIN (
SELECT X_CN, CEP_NO, HSP_NO, SPEC, PROF --MSPEC
FROM PCSSSA..SILVER.APK051_CONEPIS epi WITH (NOLOCK)
-- Main Specialty Map
LEFT JOIN PCSSSA..SILVER.ENV050_DISCIPDETS en050 WITH (NOLOCK)
ON epi.SPEC = en050.OBJ_DISC
AND en050.OBJ_TYPE='SP'
AND en050.DATE_TO IS NULL
)curr
ON curr.X_CN = a050.X_CN
AND a050.HSP_NO = curr.HSP_NO
AND curr.CEP_NO = (SELECT TOP 1 a051.CEP_NO
FROM PCSSSA..SILVER.APK051_CONEPIS a051 WITH (NOLOCK)
Where a051.X_CN = a050.X_CN AND a050.HSP_NO = a051.HSP_NO
Order By CEP_NO DESC)
-- Current Ward Detail
JOIN (SELECT *, ROW_NUMBER() OVER (PARTITION BY X_CN, CEP_NO ORDER BY WS_NO DESC) AS WR
FROM PCSSSA..SILVER.APK052_WARDSTAY wdstay WITH (NOLOCK)
LEFT JOIN (SELECT
CURRWARD = OBJ_LOC,
CURRDESC = OBJ_DESC
FROM [PCSSSA]..[SILVER].[ENV030_LOCDETS] WITH (NOLOCK)
WHERE OBJ_TYPE = 'WARD'
AND DATE_TO IS NULL
)wdname
ON wdstay.WARD = wdname.CURRWARD
) currwd
ON curr.X_CN = currwd.X_CN
AND curr.CEP_NO = currwd.CEP_NO
AND currwd.WR=1
--- Admitting details
LEFT JOIN (
SELECT X_CN, CEP_NO, HSP_NO, PROF, SPEC --MSPEC
FROM PCSSSA..SILVER.APK051_CONEPIS epi WITH (NOLOCK)
-- Main Specialty Map
LEFT JOIN PCSSSA..SILVER.ENV050_DISCIPDETS en050 WITH (NOLOCK)
ON epi.SPEC = en050.OBJ_DISC
AND en050.OBJ_TYPE='SP'
AND en050.DATE_TO IS NULL
)adm
ON adm.X_CN = a050.X_CN AND a050.HSP_NO = adm.HSP_NO
AND adm.CEP_NO = (SELECT TOP 1 a051.CEP_NO
FROM PCSSSA..SILVER.APK051_CONEPIS a051 WITH (NOLOCK)
Where a051.X_CN = a050.X_CN AND a050.HSP_NO = a051.HSP_NO
Order By CEP_NO)
-- Admitting Ward Detail
JOIN (SELECT *, ROW_NUMBER() OVER (PARTITION BY X_CN,CEP_NO ORDER BY WS_NO) AS WR FROM PCSSSA..SILVER.APK052_WARDSTAY WITH (NOLOCK)) admwd
ON adm.X_CN = admwd.X_CN
AND adm.CEP_NO = admwd.CEP_NO
AND admwd.WR=1
-- Patient Detail
LEFT JOIN
(SELECT
[id].[RM_PATIENT_NO],
[id].[NUM_ID_TYPE] + CONVERT(NVARCHAR,[NUMBER_ID]) [crn]
FROM [PCSSSA]..[SILVER].[NUMBER_IDS] [id] WITH (NOLOCK)
WHERE [id].[NUM_ID_TYPE] IN ('0', '1', 'W')
)[crn]
ON a050.[X_CN] = [crn].[RM_PATIENT_NO]
-- NHS NUMBERS
LEFT JOIN
(
SELECT
[id].[RM_PATIENT_NO],
[id].[NUMBER_ID] [nhsno]
FROM [PCSSSA]..[SILVER].[NUMBER_IDS] [id] WITH (NOLOCK)
WHERE [id].[NUM_ID_TYPE] = ('NHS')
)NHS
ON NHS.RM_PATIENT_NO = a050.X_CN
-- CHI NUMBER
LEFT JOIN
(
SELECT
[id].[RM_PATIENT_NO],
[id].[NUMBER_ID] [CHI]
FROM [PCSSSA]..[SILVER].[NUMBER_IDS] [id] WITH (NOLOCK)
WHERE [id].[NUM_ID_TYPE] IN ('CHI')
)CHI
ON CHI.RM_PATIENT_NO = a050.X_CN
-- OVERSEES STATUS
LEFT JOIN
(
SELECT X_CN, [STATUS], SDATE, EDATE FROM PCSSSA..SILVER.CRS037_OSV_STATUS WITH (NOLOCK)
)OSV
ON OSV.X_CN = a050.X_CN
AND CONVERT(DATE,ADM_DT) >= OSV.SDATE
AND (OSV.SDATE IS NULL
OR CONVERT(DATE,ADM_DT) <= OSV.EDATE)
-- DEMOGRAPHICS
LEFT JOIN
(
SELECT RM_PATIENT_NO, DATE_OF_BIRTH FROM PCSSSA..[SILVER].[PATIENTS] WITH (NOLOCK)
)PATS
ON PATS.RM_PATIENT_NO = a050.X_CN
-- CURRENTLY ADMITTED ONLY
WHERE DIS_DT IS NULL
-- WITHOUT NHS NUMBER
AND (nhsno IS NULL
-- OR BRING IN ANY 7 NHS NUMBERS FOR CORRECTION
OR NHS.[nhsno] LIKE '7%'
-- ALSO INCLUDE OVERSEES
OR OSV.X_CN IS NOT NULL)
What is even stranger, is that if you wrap this in a subquery and coun(*) on the outer then it totals 84 as expected, very strange!
I'm trying to find out if status_id field value of SQL smallint is -1 and and get the records that doesn't have -1 for that field. My stored proc content is as follows:
SELECT DISTINCT TOP 7
cs.case_id,
cs.status_id,
cm.company_name,
cs.created_time,
cs.severity_id,
cs.last_updated_time,
COALESCE(NULLIF(cs.priority,''), 'Medium') AS case_priority
FROM
tblcase cs with (nolock)
INNER JOIN tblcompany cm with (nolock) ON (cs.company_id=cm.company_id)
WHERE
CONVERT(INT, cs.status_id) <> -1 AND
(cs.cas_case_owner = #userId AND cs.is_notify_co = 1) OR
(cs.activity_owner = #userId AND cs.is_notify_ao = 1)
ORDER BY cs.severity_id DESC, cs.case_id ASC
I have tried CONVERT(int, cs.status_id) <> -1), cs.status_id <> CONVERT(smallint, -1), cs.status_id != CAST('-1' AS smallint) and more, but I still keep getting records with -1 as the status_id. Please help me understand what I'm doing wrong before downvoting.
I think you forgot to use brackets for OR operation
cs.status_id <> -1 AND
( -- open
(cs.cas_case_owner = #userId AND cs.is_notify_co = 1)
OR
(cs.activity_owner = #userId AND cs.is_notify_ao = 1)
) -- close
See my another answer about it here - SQL Server Left Join Counting
Try this
SELECT DISTINCT TOP 7
cs.case_id,
cs.status_id,
cm.company_name,
cs.created_time,
cs.severity_id,
cs.last_updated_time,
COALESCE(NULLIF(cs.priority,''), 'Medium') AS case_priority
FROM
tblcase cs with (nolock)
INNER JOIN tblcompany cm with (nolock) ON (cs.company_id=cm.company_id)
WHERE ISNULL(CAST(cs.status_id AS INT),0)<> -1
AND cs.is_notify_co = 1
AND
(
cs.cas_case_owner = #userId
OR
cs.activity_owner = #userId
)
ORDER BY cs.severity_id DESC, cs.case_id ASC
Try this:
SELECT DISTINCT TOP 7
cs.case_id,
cs.status_id,
cm.company_name,
cs.created_time,
cs.severity_id,
cs.last_updated_time,
COALESCE(NULLIF(cs.priority,''), 'Medium') AS case_priority
FROM
tblcase cs with (nolock)
INNER JOIN tblcompany cm with (nolock) ON (cs.company_id=cm.company_id)
WHERE
(
( cs.status_id <> -1 AND cs.cas_case_owner = #userId) AND
( (cs.is_notify_co = 1) OR (cs.is_notify_ao = 1))
)
ORDER BY cs.severity_id DESC, cs.case_id ASC
Below is the query which i need to optimize:
DECLARE #Power VARCHAR(10), #Button VARCHAR(10), #Casing VARCHAR(10), #Screen VARCHAR(10)
SELECT #Power = ActivityId FROM t_Activity WHERE ActivityName = 'PhonePowersUp?'
SELECT #Button = ActivityId FROM t_Activity WHERE ActivityName = 'T/S and Buttons functioning OK?'
SELECT #Casing = ActivityId FROM t_Activity WHERE ActivityName = 'Casing - no major defects?'
SELECT #Screen = ActivityId FROM t_Activity WHERE ActivityName = 'LCD works OK?'
SELECT
HQ.HandsetQuoteId [HandsetQuoteId], SS.Name [quote_status], HQ.QuoteDate [Quote Date], INS.DateInspected [DateInspected], PA.IMEI [IMEI_Quoted],
PA1.IMEI [IMEI_Inspected], INS.Grade [Grade], PB.PackageBoxName [PackageBoxName], CC.Name [ContactChannel], PhnBrd.Name [Brand], PM.ModelName [ModelQuoted],
PM1.ModelName [ModelInspected], U.FirstName [FirstName], U.Surname [Surname], U.Username [Username], UW.WarehouseId [WarehouseId], W.Name [Warehouse Name],
HQA.Value [Original Quote Value], HQ.QuoteValue [Quote Value], INS.InspectionValue [InspectionValue], HQ.AgreedValue [Agreed Value], CUS.FirstName [Store Name],
DATEDIFF(DAY, HQ.QuoteDate, GETDATE()) [Quote Age],
[ST_POWER] = CASE WHEN (CHARINDEX(','+ #Power +',', ','+PAR.Ok+',') > 0) THEN 'YES' WHEN (CHARINDEX(','+ #Power +',', ','+PAR.Fault+',') > 0) THEN 'NO' ELSE NULL END,
[ST_BUTTONS] = CASE WHEN (CHARINDEX(','+ #Button +',', ','+PAR.Ok+',') > 0) THEN 'YES' WHEN (CHARINDEX(','+ #Button +',', ','+PAR.Fault+',') > 0) THEN 'NO' ELSE NULL END,
[ST_CASING] = CASE WHEN (CHARINDEX(','+ #Casing +',', ','+PAR.Ok+',') > 0) THEN 'YES' WHEN (CHARINDEX(','+ #Casing +',', ','+PAR.Fault+',') > 0) THEN 'NO' ELSE NULL END,
[ST_Screen] = CASE WHEN (CHARINDEX(','+ #Screen +',', ','+PAR.Ok+',') > 0) THEN 'YES' WHEN (CHARINDEX(','+ #Screen +',', ','+PAR.Fault+',') > 0) THEN 'NO' ELSE NULL END,
st_deduct = PAR.PercentageDeduction, wt_deduct = MAX(APD.PercentageDeduction)
FROM t_Inspection AS INS
INNER JOIN t_HandsetQuote HQ ON HQ.HandsetQuoteId = INS.HandsetQuoteId
INNER JOIN t_QuoteHeader QH ON QH.QuoteHeaderId = HQ.QuoteHeaderId
INNER JOIN t_Customer CUS ON CUS.CustomerId = QH.CustomerId
INNER JOIN t_ContactChannel CC ON CC.ContactChannelId = CUS.ContactChannelId
INNER JOIN t_PackageBoxHandset PBH ON PBH.HandsetQuoteId = HQ.HandsetQuoteId
INNER JOIN t_PackageBox PB ON PB.PackageBoxId = PBH.PackageBoxId
INNER JOIN t_StockStatus SS ON SS.StockStatusId = HQ.StockStatusId
INNER JOIN t_PhoneAudit PA ON PA.PhoneAuditId = HQ.QuotePhoneAuditId
INNER JOIN t_PhoneModel PM ON PM.PhoneModelId = PA.PhoneModelId AND PA.PhoneAuditId = HQ.QuotePhoneAuditId
INNER JOIN t_PhoneBrand PhnBrd ON PM.PhoneBrandId = PhnBrd.PhoneBrandId
INNER JOIN t_PhoneAudit PA1 ON PA1.PhoneAuditId = HQ.InspectionPhoneAuditId
INNER JOIN t_PhoneModel PM1 ON PM1.PhoneModelId = PA1.PhoneModelId AND PA1.PhoneAuditId = HQ.InspectionPhoneAuditId
INNER JOIN t_PhoneBrand PhnBrd1 ON PM1.PhoneBrandId = PhnBrd1.PhoneBrandId
INNER JOIN t_User U ON INS.InspectorId = U.UserId
INNER JOIN t_UserWarehouse UW ON U.UserId = UW.UserId
INNER JOIN t_Warehouse W ON UW.WarehouseId = W.WarehouseId
LEFT JOIN t_HandsetQuoteAdditionalInfo HQA ON HQ.HandsetQuoteId = HQA.HandsetQuoteId AND HQA.KeyName = 'OriginalQuoteValue'
LEFT JOIN t_PhoneAuditRetail PAR ON PAR.HandsetQuoteId = HQ.HandsetQuoteId
LEFT JOIN t_HandsetQuoteActivity HQA1 ON HQA1.HandsetQuoteId = HQ.HandsetQuoteId AND HQA1.ActivityTestOK = 0 AND HQA1.ActivityStartTime = (
CASE
WHEN ((SELECT Count(1) FROM t_HandsetQuoteActivity WHERE HandsetQuoteId = HQA1.HandsetQuoteId AND ActivityStartTime <= QH.Cache_QuoteAcceptedDate AND ActivityId = HQA1.ActivityId) > 0)
THEN (SELECT Max(ActivityStartTime) FROM t_HandsetQuoteActivity WHERE HandsetQuoteId = HQA1.HandsetQuoteId AND ActivityStartTime <= QH.Cache_QuoteAcceptedDate AND ActivityId = HQA1.ActivityId GROUP BY HandsetQuoteId, ActivityId)
ELSE
(SELECT Min(ActivityStartTime) FROM t_HandsetQuoteActivity WHERE HandsetQuoteId = HQA1.HandsetQuoteId AND ActivityStartTime >= QH.Cache_QuoteAcceptedDate AND ActivityId = HQA1.ActivityId GROUP BY HandsetQuoteId, ActivityId)
END)
LEFT JOIN t_Activity_PercentageDeduction APD ON APD.ActivityId = HQA1.ActivityId AND APD.ContactChannelId = CUS.ContactChannelId AND APD.ContactChannelId = CC.ContactChannelId
WHERE Ins.DateInspected > GETDATE()-90
GROUP BY HQ.HandsetQuoteId, SS.Name, QH.CreatedDate, INS.DateInspected, PA.IMEI, PA1.IMEI, INS.Grade, PB.PackageBoxName, CC.Name, PhnBrd.Name, PM.ModelName, PM1.ModelName,
U.FirstName, U.Surname, U.Username, UW.WarehouseId, W.Name, HQA.Value, HQ.QuoteValue, INS.InspectionValue, HQ.AgreedValue, CUS.Firstname, HQ.QuoteDate, PAR.Ok, PAR.Fault,
PAR.PercentageDeduction
And, after properly debugging it, I came to know that when i remove wt_deduct = MAX(APD.PercentageDeduction) from the select list, the query executes with in less than a minute.
But, however i am not able to figure it out, that whats wrong with the column APD.PercentageDeduction, because when i include it in the select list, my query stucks and becomes too slow and takes 15 minutes to run and excluding it from the select list makes the query to run with in 30 seconds.
Additional Information:
Table -> t_Activity_PercentageDeduction contains only 400 records, column PercentageDeduction is of Decimal datatype.
Please let me know if you want some other information too.
If Im not mistaken you are only joining to that table in order to get that MAX value, and by adding this Max value, you are also having to do all the grouping. So there is actually quite a difference in the queries.
I would suggest using a co-related sub-query to get this piece of data.
remove the left join
LEFT JOIN t_Activity_PercentageDeduction APD ON APD.ActivityId = HQA1.ActivityId AND APD.ContactChannelId = CUS.ContactChannelId AND APD.ContactChannelId = CC.ContactChannelId
and set wt_deduct = to the new co-related sub-query
wt_deduct = (select MAX(PercentageDeduction) from t_Activity_PercentageDeduction
where ActivityId = HQA1.ActivityId
AND ContactChannelId = CUS.ContactChannelId
AND ContactChannelId = CC.ContactChannelId)
And you can remove all the grouping that is no longer required too.
I have a query an SQL query as follows, can anybody suggest any optimization for this; I think most of the effort is being done for the Union operation - is there anything else can be done to get the same result ?
Basically I wanna query first portion of the UNION and if for each record there is no result then the second portion need to be run. Please help.
:
SET dateformat dmy;
WITH incidentcategory
AS (
SELECT 1 ord, i.IncidentId, rl.Description Category FROM incident i
JOIN IncidentLikelihood l ON i.IncidentId = l.IncidentId
JOIN IncidentSeverity s ON i.IncidentId = s.IncidentId
JOIN LikelihoodSeverity ls ON l.LikelihoodId = ls.LikelihoodId AND s.SeverityId = ls.SeverityId
JOIN RiskLevel rl ON ls.RiskLevelId = rl.riskLevelId
UNION
SELECT 2 ord, i.incidentid,
rl.description Category
FROM incident i
JOIN incidentreportlikelihood l
ON i.incidentid = l.incidentid
JOIN incidentreportseverity s
ON i.incidentid = s.incidentid
JOIN likelihoodseverity ls
ON l.likelihoodid = ls.likelihoodid
AND s.severityid = ls.severityid
JOIN risklevel rl
ON ls.risklevelid = rl.risklevelid
) ,
ic AS (
SELECT ROW_NUMBER() OVER (PARTITION BY i.IncidentId ORDER BY (CASE WHEN incidentTime IS NULL THEN GETDATE() ELSE incidentTime END) DESC,ord ASC) rn,
i.incidentid,
dbo.Incidentdescription(i.incidentid, '',
'',
'', '')
IncidentDescription,
dbo.Dateconverttimezonecompanyid(closedtime,
i.companyid)
ClosedTime,
incidenttime,
incidentno,
Isnull(c.category, '')
Category,
opencorrectiveactions,
reportcompleted,
Isnull(classificationcompleted, 0)
ClassificationCompleted,
Cast (( CASE
WHEN closedtime IS NULL THEN 0
ELSE 1
END ) AS BIT)
IncidentClosed,
Cast (( CASE
WHEN investigatorfinishedtime IS NULL THEN 0
ELSE 1
END ) AS BIT)
InvestigationFinished,
Cast (( CASE
WHEN investigationcompletetime IS NULL THEN 0
ELSE 1
END ) AS BIT)
InvestigationComplete,
Cast (( CASE
WHEN investigatorassignedtime IS NULL THEN 0
ELSE 1
END ) AS BIT)
InvestigatorAssigned,
Cast (( CASE
WHEN (SELECT Count(*)
FROM incidentinvestigator
WHERE incidentid = i.incidentid
AND personid = 1588
AND tablename = 'AdminLevels') = 0
THEN 0
ELSE 1
END ) AS BIT)
IncidentInvestigator,
(SELECT dbo.Strconcat(osname)
FROM (SELECT TOP 10 osname
FROM incidentlocation l
JOIN organisationstructure o
ON l.locationid = o.osid
WHERE incidentid = i.incidentid
ORDER BY l.locorder) loc)
Location,
Isnull((SELECT TOP 1 teamleader
FROM incidentinvestigator
WHERE personid = 1588
AND tablename = 'AdminLevels'
AND incidentid = i.incidentid), 0)
TeamLeader,
incidentstatus,
incidentstatussearch
FROM incident i
LEFT OUTER JOIN incidentcategory c
ON i.incidentid = c.incidentid
WHERE i.isdeleted = 0
AND i.companyid = 158
AND incidentno <> 0
--AND reportcompleted = 1
--AND investigatorassignedtime IS NOT NULL
--AND investigatorfinishedtime IS NULL
--AND closedtime IS NULL
),
ic2 AS (
SELECT * FROM ic WHERE rn=1
)
SELECT * FROM ic2
--WHERE rownumber >= 0
-- AND rownumber < 0 + 10
--WHERE ic2.incidentid in(53327,53538)
--WHERE ic2.incidentid = 53338
ORDER BY incidentid DESC
Following is the execution plan I got:
https://www.dropbox.com/s/50dcpelr1ag4blp/Execution_Plan.sqlplan?dl=0
There are several issues:
1) use UNION ALL instead of UNION ALL to avoid the additional operation to aggregate the data.
2) try to modify the numerous function calls (e.g. dbo.Incidentdescription() ) to be an in-lie table valued function so you can reference it using CROSS APPLY or OUTER APPLY. Especially, if those functions referencing a table again.
3) move the subqueries from the SELECT part of the query to the FROM part using CROSS APPLY or OUTER APPLY again.
4) after the above is done, check the execution plan again for any missing indexes. Also, run the query with STATISTICS TIME, IO on to verify that the number of times a table
is referenced is correct (sometimes the execution plan put you in the wrong direction, especially if function calls are involved)...
Since the first inner query produces rows with ord=1 and the second produces rows with ord=2, you should use UNION ALL instead of UNION. UNION will filter out equal rows and since you will never get equal rows it is more efficient to use UNION ALL.
Also, rewrite your query to not use the WITH construct. I've had very bad experiences with this. Just use regular derived tables instead. In the case the query is still abnormally slow, try to serialize some derived tables to a temporary table and query the temporary table instead.
Try alternate approach by removing
(SELECT dbo.Strconcat(osname)
FROM (SELECT TOP 10 osname
FROM incidentlocation l
JOIN organisationstructure o
ON l.locationid = o.osid
WHERE incidentid = i.incidentid
ORDER BY l.locorder) loc)
Location,
Isnull((SELECT TOP 1 teamleader
FROM incidentinvestigator
WHERE personid = 1588
AND tablename = 'AdminLevels'
AND incidentid = i.incidentid), 0)
TeamLeader
from the SELECT. Avoid using complex functions/sub-queries in select.