-- WITH POD was causing the issue, removing this code reduced 2 year pull to 3 mins.
Will post new question to figure out best way to include POD data.
--Edit for clarity, I am a read only user to these tables.
I wrote the below query, but it takes a very long time to execute (20min).
It is currently limited to 1 month, but user wants at least 1 year preferably 2. I assume this would scale time to hours.
Can anyone take a look at let me know if there is a BKM I am not using to improve performance?
Or if there is a better method for a report of this size? At 2 years, it would return ~100K rows from 17 tables.
WITH
POD AS
(
SELECT SHIPMENTS.Delivery
,SHIPMENTS.Shipment_Number
,PROOF_OF_DELIVERY.Shipping_Carrier
,PROOF_OF_DELIVERY.Tracking_Number
,PROOF_OF_DELIVERY.Ship_Method
,PROOF_OF_DELIVERY.POD_Signature
,PROOF_OF_DELIVERY.POD_Date
,PROOF_OF_DELIVERY.POD_Time
FROM
SHIPMENTS
LEFT JOIN PROOF_OF_DELIVERY
ON SHIPMENTS.Shipment_Number = PROOF_OF_DELIVERY.Delivery_Or_Shipment
WHERE Load_Date IN
(
SELECT MAX(Load_Date)
FROM PROOF_OF_DELIVERY
GROUP BY Delivery_Or_Shipment
)
)
SELECT DISTINCT GI.GOODS_ISSUE_DOCUMENT_ID
,GI.SALES_ORDER_ID
,GI.SALES_ORDER_LINE_ID
,GI.SALES_ORDER_TYPE_CODE
,GI.DELIVERY_HEADER_ID
,GI.DELIVERY_ITEM_ID
,FD.FISCAL_MONTH_CODE
,GI.MATERIAL_NUMBER
,GI.SHIPPED_QTY
,SO.ORDERER_NAME
,SO.CREATED_BY
,SO.CONTACT_PERSON
,GI.SOLD_TO_CUSTOMER_ID
,GI.SHIP_TO_CUSTOMER_ID
,GI.ORIGINAL_COMMIT_DATE
,GI.SHIP_FROM_PLANT_ID
,GI.ACTUAL_PGI_DATE
,GI.CUSTOMER_PO_NUMBER
,GI.SHIPPED_PRICE
,(GI.SHIPPED_PRICE * GI.SHIPPED_QTY) AS EXT_SHIPPED_PRICE
,GI.SALES_ORGANIZATION_CODE
,GI.DELIVERY_NOTE_PRIORITY_CODE
,FD.FISCAL_WEEK_CODE
,DV.DIVISION_CODE
,DN.Delivery_Item_Creation_Date
,SOLD.CUSTOMER_SHORT_NAME AS SOLD_TO_CUSTOMER_SHORT_NAME
,SHIP.CUSTOMER_SHORT_NAME AS SHIP_TO_CUSTOMER_SHORT_NAME
,SHIP.Customer_Site_Name
,SHIP.REGION_NAME
,MATD.MATERIAL_DESCRIPTION
,MATD.STANDARD_COST
,(MATD.STANDARD_COST * GI.SHIPPED_QTY) AS EXT_STANDARD_COST
,MATD.GLOBAL_EVENT
,PLT.LEAD_TIME_FOR_ORIGINAL_COMMIT
,OPRM.BASE_PART_CODE
,MATD.PRODUCT_INSP_MEMO
,MATD.MATERIAL_PRICING_GROUP_CODE
,MATD.MATERIAL_STATUS AS MMPP
,PIM.PIM_PBG_GROUPING
,SOL.SHIPPING_CONDITION
,SVO.SERVICE_ORDER_NUM
,SO.CREATION_TIME AS SO_CREATION_TIME
,SOL.CREATED_TIME AS SO_LINE_CREATED_TIME
,SOL.SHIPPING_POINT
,SDT.SALES_DOCUMENT_TYPE_CODE AS SVO_DOCUMENT_TYPE_CODE
,EQU.EQUIPMENT_NUM
,EQU.SERIAL_NUMBER
,EQU.CUSTOMERTOOLID
,POD.Shipment_Number
,POD.Shipping_Carrier
,POD.Tracking_Number
,POD.Ship_Method
,POD.POD_Signature
,POD.POD_Date
,POD.POD_Time
,DATEDIFF(dd,SO.CREATION_TIME,GI.ACTUAL_PGI_DATE) AS Cycle_Time_to_PGI_Days
,DATEDIFF(hh,SO.CREATION_TIME,GI.ACTUAL_PGI_DATE) AS Cycle_Time_to_PGI_Hours
FROM GOODS_ISSUE AS GI
INNER JOIN dbo.Delivery_Notes AS DN
ON GI.DELIVERY_HEADER_ID = DN.DELIVERY_HEADER_CODE AND GI.DELIVERY_ITEM_ID = DN.DELIVERY_ITEM_CODE
INNER JOIN dbo.Customer_View AS SOLD
ON GI.SOLD_TO_CUSTOMER_ID = SOLD.CUSTOMER_CODE
INNER JOIN dbo.Customer_View AS SHIP
ON GI.SOLD_TO_CUSTOMER_ID = SHIP.CUSTOMER_CODE
INNER JOIN dbo.MATERIAL_DETAILS AS MATD
ON GI.MATERIAL_NUMBER = MATD.MATERIAL_NUMBER
INNER JOIN dbo.OPR_MATERIAL_DIM AS OPRM
ON OPRM.MATERIAL_NUMBER = GI.MATERIAL_NUMBER
LEFT JOIN dbo.SM_DATE_DIM AS FD
ON CAST(FD.CALENDAR_DAY AS DATE) = CAST(GI.ACTUAL_PGI_DATE AS DATE)
LEFT JOIN dbo.DIM_PUBLISHED_LEAD_TIME_COMMIT AS PLT
ON PLT.MATERIAL_NUMBER = OPRM.BASE_PART_CODE
LEFT JOIN dbo.PRODUCT_INSP_MEMO_DIM AS PIM
ON PIM.PRODUCT_INSP_MEMO = MATD.PRODUCT_INSP_MEMO
INNER JOIN dbo.SM_SALES_ORDER_LINE_FACT AS SOL
ON SOL.SALES_ORDER_CODE = GI.SALES_ORDER_ID AND SOL.SALES_ORDER_LINE_CODE = GI.SALES_ORDER_LINE_ID
INNER JOIN dbo.SM_SALES_ORDER_FACT AS SO
ON SO.SALES_ORDER_CODE = GI.SALES_ORDER_ID
INNER JOIN dbo.SM_DIVISION_DIM AS DV
ON SO.DIVISION_SID = DV.DIVISION_SID
LEFT JOIN dbo.SERVICE_ORDER_FACT AS SVO
ON SVO.SERVICE_ORDER_NUM = SO.SERVICE_ORDER_NUMBER
LEFT JOIN dbo.SM_SALES_DOCUMENT_TYPE_DIM AS SDT
ON SDT.SALES_DOCUMENT_TYPE_SID = SVO.SALES_DOCUMENT_TYPE_SID
LEFT JOIN dbo.SM_EQUIPMENT_DIM AS EQU
ON EQU.EQUIPMENT_SID = SVO.EQUIPMENT_SID
LEFT JOIN POD
ON POD.Delivery = GI.DELIVERY_HEADER_ID
WHERE GI.ACTUAL_PGI_DATE > GETDATE()-32
AND SOLD_TO_CUSTOMER_ID IN (0010000252,0010000898,0010001121,0010001409,0010001842,0010001852,0010001879,0010001977,0010001978,0010002021,0010002202,0010002227,0010002982,0010003118,0010003176,0010003294,0010005492,0010006904,0010007048,0010007080,0010010381,0010010572,0010010905,0010011999,0010012014,0010012048,0010012571,0010013124,0010013711,0010013713,0010013824,0010014180,0010014188,0010014333,0010015059,0010015313,0010015414,0010015541,0010015544,0010015550)
A CTE is just syntax
I suspect that CTE is evaluated many times
Materialze the CTE to #temp with indexe(s) so it is run once
This cast will hurt it
Make those columns true dates and index them
ON CAST(FD.CALENDAR_DAY AS DATE) = CAST(GI.ACTUAL_PGI_DATE AS DATE)
That where negates the left so you can just do a join
Also that MAX(Load_Date) could match on another shipment
SELECT SHIPMENTS.Delivery
,SHIPMENTS.Shipment_Number
,PROOF_OF_DELIVERY.Shipping_Carrier
,PROOF_OF_DELIVERY.Tracking_Number
,PROOF_OF_DELIVERY.Ship_Method
,PROOF_OF_DELIVERY.POD_Signature
,PROOF_OF_DELIVERY.POD_Date
,PROOF_OF_DELIVERY.POD_Time
FROM SHIPMENTS
JOIN PROOF_OF_DELIVERY
ON SHIPMENTS.Shipment_Number = PROOF_OF_DELIVERY.Delivery_Or_Shipment
WHERE PROOF_OF_DELIVERY.Load_Date IN
(
SELECT MAX(Load_Date)
FROM PROOF_OF_DELIVERY
GROUP BY Delivery_Or_Shipment
)
Pull this up into the join
INNER JOIN dbo.Customer_View AS SOLD
ON GI.SOLD_TO_CUSTOMER_ID = SOLD.CUSTOMER_CODE
AND GI.SOLD_TO_CUSTOMER_ID IN (0010000252,0010000898,0010001121,0010001409,0010001842,0010001852,0010001879,0010001977,0010001978,0010002021,0010002202,0010002227,0010002982,0010003118,0010003176,0010003294,0010005492,0010006904,0010007048,0010007080,0010010381,0010010572,0010010905,0010011999,0010012014,0010012048,0010012571,0010013124,0010013711,0010013713,0010013824,0010014180,0010014188,0010014333,0010015059,0010015313,0010015414,0010015541,0010015544,0010015550)
Related
I have the below query with multiple joins.The last 3 joins are required to get the g.fin_id value. This works fine (see results) BUT because some records in the ACCUM_ISS_CHAR_HIST table have e.char9_nme values of NULL, it excludes the records in the results altogether. So it seems as when the e.char9_nme value has a record then it will produce a result, but as soon as it has a Null value then it is excluded. I would still like to see the records even though the g.fin_id for those will then be blank because they have a e.char9_nme value of Null. How can I change the query to accomplish this?
select
a.acct_id,
c.fld3_txt,
b.issue_loc1_cde,
b.instr_id,
a.fld1_nme,
b.issue_cls2_nme,
g.fin_id,
e.char9_nme
from position_dg as a
inner join
infoportal..issue_dg as b on b.INSTR_ID = a.INSTR_ID
inner join
InfoPortal..IVW_ACCT as c on a.acct_id = c.acct_id
inner join
InfoPortal..DW_AcctCharDG as d on a.acct_id = d.acctid
inner join
ACCUM_ISS_CHAR_HIST as e on a.instr_id = e.instr_id
inner join
MD_FINANCIAL_ENTITY as f on e.char9_nme = f.fin_enty_name
inner join md_FINANCIAL_ENTITY_ALTERNATE_IDENTIFIER as g on
f.fin_enty_id = g.fin_enty_id
and b.MAT_EXP_DTE > getdate()
and b.issue_cls1_nme = 'Derivatives'
and a.as_of_tms >= getdate()-1
and b.iss_typ in ('FFX','IRS','EQF')
and d.AcctChrSetId = 'DerivativeRpt'
and d.EndTms IS NULL
and a.acct_id = 'FOGEMBLCR'
and g.id_ctxt_typ = 'LEGAL_ENTITY_IDENTIFIER'
and e.as_of_dte = (
select MAX (as_of_dte)-1
from accum_iss_char_hist
)
I expect the results to show fin_id records for some ond blank fin_id records for some, but at the moment only the ones with a fin_id record is hown and the rest is excluded from the results.
You are looking for a left join.
Join all those tables (last 3 as you said) as left join. For better clarity I have moved conditions of every tables in their ON clause and for base table a made a where clause.
select
a.acct_id,
c.fld3_txt,
b.issue_loc1_cde,
b.instr_id,
a.fld1_nme,
b.issue_cls2_nme,
g.fin_id,
e.char9_nme
from position_dg as a
inner join
infoportal..issue_dg as b on b.INSTR_ID = a.INSTR_ID
and b.MAT_EXP_DTE > getdate()
and b.issue_cls1_nme = 'Derivatives'
and b.iss_typ in ('FFX','IRS','EQF')
inner join
InfoPortal..IVW_ACCT as c on a.acct_id = c.acct_id
inner join
InfoPortal..DW_AcctCharDG as d on a.acct_id = d.acctid
and d.AcctChrSetId = 'DerivativeRpt'
and d.EndTms IS NULL
left join
ACCUM_ISS_CHAR_HIST as e on a.instr_id = e.instr_id
and e.as_of_dte = (
select MAX (as_of_dte)-1
from accum_iss_char_hist
)
left join
MD_FINANCIAL_ENTITY as f on e.char9_nme = f.fin_enty_name
left join
md_FINANCIAL_ENTITY_ALTERNATE_IDENTIFIER as g on f.fin_enty_id = g.fin_enty_id
and g.id_ctxt_typ = 'LEGAL_ENTITY_IDENTIFIER'
Where a.as_of_tms >= getdate()-1
and a.acct_id = 'FOGEMBLCR'
Using SQL Server 2008 R2 and I am having issue on retrieving rows using left join in sub query having two different date range.
Tables that i used to store values
And so far I used this sql to retrieve the output (Learnt from Stack overflow)
SELECT
TT.TransferRId, RM.ResourceName AS BookName,
COALESCE(Opening,0) AS Opening,
SUM(TT.InwardQty) AS Inward,
SUM(TT.OutwardQty) AS Outward,
COALESCE((Opening + (SUM(TT.InwardQty)) - (SUM(TT.OutwardQty))), 0) AS Closing
FROM
((ResourceMaster RM
LEFT JOIN
TransferTrans TT ON TT.TransferRId = RM.ResourceId)
LEFT JOIN
TransferRegister TR ON TR.TransferRegisterId = TT.TransRegisterId)
LEFT JOIN
(SELECT
TT.TransferRId,
(SUM(TT.InwardQty)- SUM(TT.OutwardQty)) AS Opening
FROM
TransferTrans TT
LEFT JOIN
TransferRegister TR ON TR.TransferRegisterId = TT.TransRegisterId
WHERE
TR.TransferDate < '2018-09-01'
AND TT.Siteid = 2
GROUP BY
TT.TransferRId) AS Stock ON Stock.TransferRId = TT.TransferRId
WHERE
TT.Siteid = 2
AND TR.TransferDate BETWEEN '2018-09-01' AND '2018-09-30'
GROUP BY
TT.TransferRId, RM.ResourceName, Opening
Output for Above Query
Expected Output
Advise further to get the expected output. Thanks in advance.
The Where-condition on TransferDate changes the Left join to an Inner Join, move it to the On:
SELECT
TT.TransferRId, RM.ResourceName AS BookName,
COALESCE(Opening,0) AS Opening,
SUM(TT.InwardQty) AS Inward,
SUM(TT.OutwardQty) AS Outward,
COALESCE((Opening + (SUM(TT.InwardQty)) - (SUM(TT.OutwardQty))), 0) AS Closing
FROM
ResourceMaster RM
LEFT JOIN
TransferTrans TT ON TT.TransferRId = RM.ResourceId
LEFT JOIN
TransferRegister TR
ON TR.TransferRegisterId = TT.TransRegisterId
AND TR.TransferDate BETWEEN '2018-09-01' AND '2018-09-30'
LEFT JOIN
(SELECT
TT.TransferRId,
(SUM(TT.InwardQty)- SUM(TT.OutwardQty)) AS Opening
FROM
TransferTrans TT
LEFT JOIN
TransferRegister TR
ON TR.TransferRegisterId = TT.TransRegisterId
AND TR.TransferDate < '2018-09-01'
WHERE TT.Siteid = 2
GROUP BY
TT.TransferRId) AS Stock ON Stock.TransferRId = TT.TransferRId
WHERE
TT.Siteid = 2
GROUP BY
TT.TransferRId, RM.ResourceName, Opening
There's a rule of thumb which usually fits: Conditions on the Outer table are put in WHERE while conditions on the Inner table are ANDed to the join-condition in ON
I have a query that consists of 1 table and 2 sub queries. The table being a listing of all customers, 1 sub query is a listing all of the quotes given over a period of time for customers and the other sub query is a listing of all of the orders booked for a customer over the same period of time. What I am trying to do is return a result set that is a customer, the number of quotes given, and the number of orders booked over a given period of time. However what I am returning is only a listening of customers over the period of time that have an equivalent quote and order count. I feel like I am missing something obvious within the context of the query but I am unable to figure it out. Any help would be appreciated. Thank you.
Result Set should look like this
Customer-------Quotes-------Orders Placed
aaa----------------4----------------4
bbb----------------9----------------18
ccc----------------18----------------9
select
[Customer2].[Name] as [Customer2_Name],
(count( Quotes.UD03_Key3 )) as [Calculated_CustomerQuotes],
(count( Customer_Bookings.OrderHed_OrderNum )) as [Calculated_CustomerBookings]
from Erp.Customer as Customer2
left join (select
[UD03].[Key3] as [UD03_Key3],
[UD03].[Key4] as [UD03_Key4],
[UD03].[Key1] as [UD03_Key1],
[UD03].[Date02] as [UD03_Date02]
from Ice.UD03 as UD03
inner join Ice.UD02 as UD02 on
UD03.Company = UD02.Company
And
CAST(CAST(UD03.Number09 AS INT) AS VARCHAR(30)) = UD02.Key1
left outer join Erp.Customer as Customer on
UD03.Company = Customer.Company
And
UD03.Key1 = Customer.Name
left outer join Erp.SalesTer as SalesTer on
Customer.Company = SalesTer.Company
And
Customer.TerritoryID = SalesTer.TerritoryID
left outer join Erp.CustGrup as CustGrup on
Customer.Company = CustGrup.Company
And
Customer.GroupCode = CustGrup.GroupCode
where (UD03.Key3 <> '0')) as Quotes on
Customer2.Name = Quotes.UD03_Key1
left join (select
[Customer1].[Name] as [Customer1_Name],
[OrderHed].[OrderNum] as [OrderHed_OrderNum],
[OrderDtl].[OrderLine] as [OrderDtl_OrderLine],
[OrderHed].[OrderDate] as [OrderHed_OrderDate]
from Erp.OrderHed as OrderHed
inner join Erp.Customer as Customer1 on
OrderHed.Company = Customer1.Company
And
OrderHed.BTCustNum = Customer1.CustNum
inner join Erp.OrderDtl as OrderDtl on
OrderHed.Company = OrderDtl.Company
And
OrderHed.OrderNum = OrderDtl.OrderNum) as Customer_Bookings on
Customer2.Name = Customer_Bookings.Customer1_Name
where Quotes.UD03_Date02 >= '5/15/2018' and Quotes.UD03_Date02 <= '5/15/2018' and Customer_Bookings.OrderHed_OrderDate >='5/15/2018' and Customer_Bookings.OrderHed_OrderDate <= '5/15/2018'
group by [Customer2].[Name]
You have several problems going on here. The first problem is your code is so poorly formatted it is user hostile to look at. Then you have left joins being logically treated an inner joins because of the where clause. You also have date literal strings in language specific format. This should always be the ANSI format YYYYMMDD. But in your case your two predicates are contradicting each other. You have where UD03_Date02 is simultaneously greater than and less than the same date. Thankfully you have =. But if your column is a datetime you have prevented any rows from being returned again (the first being your where clause). You have this same incorrect date logic and join in the second subquery as well.
Here is what your query might look like with some formatting so you can see what is going on. Please note I fixed the logical join issue. You still have the date problems because I don't know what you are trying to accomplish there.
select
[Customer2].[Name] as [Customer2_Name],
count(Quotes.UD03_Key3) as [Calculated_CustomerQuotes],
count(Customer_Bookings.OrderHed_OrderNum) as [Calculated_CustomerBookings]
from Erp.Customer as Customer2
left join
(
select
[UD03].[Key3] as [UD03_Key3],
[UD03].[Key4] as [UD03_Key4],
[UD03].[Key1] as [UD03_Key1],
[UD03].[Date02] as [UD03_Date02]
from Ice.UD03 as UD03
inner join Ice.UD02 as UD02 on UD03.Company = UD02.Company
And CAST(CAST(UD03.Number09 AS INT) AS VARCHAR(30)) = UD02.Key1
left outer join Erp.Customer as Customer on UD03.Company = Customer.Company
And UD03.Key1 = Customer.Name
left outer join Erp.SalesTer as SalesTer on Customer.Company = SalesTer.Company
And Customer.TerritoryID = SalesTer.TerritoryID
left outer join Erp.CustGrup as CustGrup on Customer.Company = CustGrup.Company
And Customer.GroupCode = CustGrup.GroupCode
where UD03.Key3 <> '0'
) as Quotes on Customer2.Name = Quotes.UD03_Key1
and Quotes.UD03_Date02 >= '20180515'
and Quotes.UD03_Date02 <= '20180515'
left join
(
select
[Customer1].[Name] as [Customer1_Name],
[OrderHed].[OrderNum] as [OrderHed_OrderNum],
[OrderDtl].[OrderLine] as [OrderDtl_OrderLine],
[OrderHed].[OrderDate] as [OrderHed_OrderDate]
from Erp.OrderHed as OrderHed
inner join Erp.Customer as Customer1 on OrderHed.Company = Customer1.Company
And OrderHed.BTCustNum = Customer1.CustNum
inner join Erp.OrderDtl as OrderDtl on OrderHed.Company = OrderDtl.Company
And OrderHed.OrderNum = OrderDtl.OrderNum
) as Customer_Bookings on Customer2.Name = Customer_Bookings.Customer1_Name
and Customer_Bookings.OrderHed_OrderDate >= '20180515'
and Customer_Bookings.OrderHed_OrderDate <= '20180515'
group by [Customer2].[Name]
COUNT() will just give you the number of records. You'd expect this two result columns to be equal. Try structuring it like this:
SUM(CASE WHEN Quote.UD03_Key1 IS NOT NULL THEN 1 ELSE 0 END) AS QuoteCount,
SUM(CASE WHEN Customer_Bookings.Customer1_Name IS NOT NULL THEN 1 ELSE 0 END) AS custBookingCount
I have 2 queries. Individually, both run well. How when I combine them, they run terribly slow and time out on me. The second query is returning a list of invoices that I want to use in the IN clause in the first query. Not sure if I'm doing something wrong. Thanks for your help....
select
ba.bill_acct_nbr,
ba.acct_name,
i.inv_id,
i.prnt_tmsp,
i.due_dt,
d.dvr_frst_name,
d.dvr_srnm,
r.ecr_ticket_no,
r.co_tmsp,
i.dr_note_amt ,
ht.amt HT,
vat.amt VAT
from rfs.rnt_agr_inv_notes i
inner join rfs.rnt_Agrs r on r.rnt_agr_nbr = i.rea_rnt_agr_nbr
inner join rfs_rv.dvr_rras d on r.rnt_agr_nbr = d.rdy_rnt_agr_nbr and d.main_dvr_flg = 'MR'
inner join rfs_rv.bus_acnts ba on ba.acct_id = i.bac_acc_id
inner join (select sum(chg_amt) amt, rain.inv_id
from rfs.rra_chgs rrc
inner join rfs.rnt_agr_inv_note_lns rainl on rrc.rrc_id=rainl.rrc_rrc_id
inner join rfs.rnt_agr_inv_notes rain on rainl.rai_inv_id=rain.inv_id
inner join rfs.rnt_agrs ra on rain.rea_rnt_agr_nbr=ra.rnt_agr_nbr
inner join rfs.rra_chg_typs rct on rrc.rct_chg_typ=rct.chg_typ
where rrc.rct_chg_typ not in ('TAX', 'SUR', 'VAT') and not ( ra.stn_system='ECR' and (rrc.rct_chg_typ ='02000' or rrc.rct_chg_typ ='02201'))
group by rain.inv_id) ht on ht.inv_id=i.inv_id
inner join (select sum(chg_amt) amt, rain.inv_id
from rfs.rra_chgs rrc
inner join rfs.rnt_agr_inv_note_lns rainl on rrc.rrc_id=rainl.rrc_rrc_id
inner join rfs.rnt_agr_inv_notes rain on rainl.rai_inv_id=rain.inv_id
inner join rfs.rnt_agrs ra on rain.rea_rnt_agr_nbr=ra.rnt_agr_nbr
inner join rfs.rra_chg_typs rct on rrc.rct_chg_typ=rct.chg_typ and not ( ra.stn_system='ECR' and rrc.rct_chg_typ ='02200')
where rrc.rct_chg_typ in ('TAX', 'SUR', 'VAT')
group by rain.inv_id) vat on vat.inv_id=i.inv_id
where
i.inv_id in (425001975206,550008226812,425002005105, 425002046396, 42500190929)
I commented out the last line above and replaced it with this code; which runs well by itself.
i.inv_id in (select
q.inv_id
from
rfs.rnt_agr_inv_notes q,
rfs_rv.bus_acnts ba
where
ba.acct_id = q.bac_acc_id
and ba.bill_acct_nbr IN ('16785616')
AND extract(MONTH from q.prnt_tmsp) = 5
AND extract(YEAR from q.prnt_tmsp) = 2015)
I can give you a solution for combining the two which has worked well for our product. It looks horrible but had a vastly huge performance improvement by generating the list of Ids up front in a temp table.
(As an aside, you really need to take a look at the huge amount of INNER JOIN in your query as this is not helping your performance).
You'd want something like this:
CREATE TABLE #invIds (id INT)
INSERT INTO #invIds (id) SELECT
q.inv_id
from
rfs.rnt_agr_inv_notes q,
rfs_rv.bus_acnts ba
where
ba.acct_id = q.bac_acc_id
and ba.bill_acct_nbr IN ('16785616')
AND extract(MONTH from q.prnt_tmsp) = 5
AND extract(YEAR from q.prnt_tmsp) = 2015
Then the query would do this
d.dvr_frst_name,
d.dvr_srnm,
r.ecr_ticket_no,
r.co_tmsp,
i.dr_note_amt ,
ht.amt HT,
vat.amt VAT
from rfs.rnt_agr_inv_notes I .....
.....where
i.inv_id in #invIds
I have following query which i want to get sum counts for my data
SELECT
TI.[text] as zone,
YEAR (ER.Inserted) as [Year],
SUM(CONVERT(INT,DRT.RDRT)) as RDRT,
SUM(CONVERT(INT,DRT.FACT)) as FACT ,
SUM(CONVERT(INT,DRT.ERU)) as ERU,
(
SELECT COUNT(ER1.ReportID)
FROM dbo.EW_Reports ER1
INNER JOIN dbo.EW_Report_InformationManagement ERI ON ER1.ReportID = ERI.ReportID
INNER JOIN EW_Report_Country ERC1 ON ER1.ReportID = ERC1.ReportID
INNER JOIN ApplicationDB.dbo.Country C1 ON ERC1.CountryID = C1.countryId
INNER JOIN ApplicationDB.dbo.Region R1 ON C1.regionId = R1.regionId
INNER JOIN ApplicationDB.dbo.Zone Z1 ON R1.zoneId = Z1.zoneId
WHERE ERI.EmergencyAppeal IS NOT NULL
AND (YEAR ( ER1.Inserted) = YEAR ( ER.Inserted))
AND Z1.zoneId = Z.zoneId
) as emergencyAppeals
FROM EW_Reports ER
INNER JOIN EW_DisasterResponseTools DRT ON ER.ReportID = DRT.ReportID
INNER JOIN EW_Report_Country ERC ON ER.ReportID = ERC.ReportID
INNER JOIN ApplicationDB.dbo.Country C ON ERC.CountryID = c.countryId
INNER JOIN ApplicationDB.dbo.Region R ON c.regionId = R.regionId
INNER JOIN ApplicationDB.dbo.Zone Z ON R.zoneId = Z.zoneId
INNER JOIN ApplicationDB.dbo.Translation T ON Z.translationId = T.translationId
INNER JOIN ApplicationDB.dbo.TranslationItem TI ON T.translationId = TI.translationId
INNER JOIN EW_lofDisasterTypes D ON ER.DisasterTypeID = D.TranslationID AND D.LanguageID = 1 AND TI.languageID = 1
WHERE (YEAR ( ER.Inserted) IN (2011,2012))
GROUP BY TI.[text], YEAR (ER.Inserted)
But its giving following error
Column 'ApplicationDB.dbo.Zone.zoneId' is invalid in the select list
because it is not contained in either an aggregate function or the
GROUP BY clause.
Please assist me how to resolve this error .
there are too many ApplicationDB.dbo.Zone.zoneId records in your table already
simple add ApplicationDB.dbo.Zone.zoneId in group by then problem will solved
Select ....
.....
GROUP BY TI.[text], YEAR (ER.Inserted) ,ApplicationDB.dbo.Zone.zoneId
For your question why u need to add ApplicationDB.dbo.Zone.zoneId in my group as i am using that in ur subquery, this is because u perform a outer condition in your subquery
SELECT
----
(
SELECT
-----
INNER JOIN ApplicationDB.dbo.Zone Z1 ON R1.zoneId = Z1.zoneId
WHERE
----
AND Z1.zoneId = Z.zoneId
)
-----
INNER JOIN ApplicationDB.dbo.Zone Z ON R.zoneId = Z.zoneId
WHERE (YEAR ( ER.Inserted) IN (2011,2012))
------
note that you have a condition in different years
so your data flow may like this
ZoneID Years Record
1 2011 1000
1 2012 1000
same zone id contain different years, without proper grouping, sql got no way to group years column
it is showing the error because you have used this in sub query where condition
you need toadd ApplicationDB.dbo.Zone.zoneId in group by