SELECT pims.icicimedicalexaminerreport.id,
pims.icicimerfemaleapplicant.adversemenstrualid,
pims.icicimerfemaleapplicant.pregnantid,
pims.icicimerfemaleapplicant.miscarriageabortionid,
pims.icicimerfemaleapplicant.breastdiseaseid,
pims.pimscase.tiannumber
FROM pims.pimscase
INNER JOIN pims.digitization
ON pims.pimscase.digitizationid = pims.digitization.id
INNER JOIN pims.medicalexaminerreport
ON pims.digitization.medicalexaminerreportid =
pims.medicalexaminerreport.id
INNER JOIN pims.icicimedicalexaminerreport
ON pims.medicalexaminerreport.id =
pims.icicimedicalexaminerreport.id
INNER JOIN pims.icicimerfemaleapplicant
ON pims.icicimedicalexaminerreport.id =
pims.icicimerfemaleapplicant.id
WHERE pims.pimscase.tiannumber = 'ICICI1234567890'
which gives me the following output
Now I want to use the above output values to select the rows from the table "YesNoAnswerWithObservation"
I imagine it should look something like this Select * from YesNoAnswerWithObservation Where Id in (22,27,26,...23)
Only instead of typing the values inside IN clause I want to use the values in each column resulting from above-mentioned query.
I tried the below code but it returns all the rows in the table rather than rows mentioned inside the In
SELECT pims.yesnoanswerwithobservation.observation,
graphitegtccore.yesnoquestion.description,
pims.yesnoanswerwithobservation.id ObservationId
FROM pims.yesnoanswerwithobservation
INNER JOIN graphitegtccore.yesnoquestion
ON pims.yesnoanswerwithobservation.yesnoanswerid =
graphitegtccore.yesnoquestion.id
WHERE EXISTS (SELECT pims.icicimedicalexaminerreport.id,
pims.icicimerfemaleapplicant.adversemenstrualid,
pims.icicimerfemaleapplicant.pregnantid,
pims.icicimerfemaleapplicant.pelvicorgandiseaseid,
pims.icicimerfemaleapplicant.miscarriageabortionid,
pims.icicimerfemaleapplicant.gynocologicalscanid,
pims.icicimerfemaleapplicant.breastdiseaseid,
pims.pimscase.tiannumber
FROM pims.pimscase
INNER JOIN pims.digitization
ON pims.pimscase.digitizationid =
pims.digitization.id
INNER JOIN pims.medicalexaminerreport
ON pims.digitization.medicalexaminerreportid =
pims.medicalexaminerreport.id
INNER JOIN pims.icicimedicalexaminerreport
ON pims.medicalexaminerreport.id =
pims.icicimedicalexaminerreport.id
INNER JOIN pims.icicimerfemaleapplicant
ON pims.icicimedicalexaminerreport.id =
pims.icicimerfemaleapplicant.id
WHERE pims.pimscase.tiannumber = 'ICICI1234567890')
Any help or a nudge in the right direction would be greatly appreciated
Presumably you want the ids from the first query:
SELECT awo.observation, ynq.description, ynq.id as ObservationId
FROM pims.yesnoanswerwithobservation awo JOIN
graphitegtccore.yesnoquestion ynq
ON awo.yesnoanswerid = ynq.id
WHERE ynq.id = (SELECT mer.id
FROM pims.pimscase c JOIN
pims.digitization d
ON c.digitizationid = d.id JOIN
pims.medicalexaminerreport mer
ON d.medicalexaminerreportid = mer.id JOIN
pims.icicimedicalexaminerreport imer
ON mer.id = imer.id JOIN
pims.icicimerfemaleapplicant ifa
ON imer.id = ifa.id
WHERE c.tiannumber = 'ICICI1234567890'
) ;
Notice that table aliases make the query much easier to write and to read.
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'
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
-- 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)
My SQL Query below is now Returning the RoomsAvailable field correctly except when theres 0 rooms taken, in which the SQL command subtracts number_of_rooms with NULL and outputs NULL to the Column. I have tried numerous ISNULL variations and found that it doesnt work; anyone know how I should be doing this?
SQL :
SELECT
Hotel_2.hotel_code,
Hotel_2.hotel_country,
Room_type_rates_2.room_type_code,
Room_type_rates_2.number_of_rooms,
Types_2.room_type,
Room_type_rates_2.rates,
Room_type_rates_2.number_of_rooms -
(SELECT
DISTINCT (SELECT
COUNT(dbo.Hotel.hotel_code) AS RoomsTake
FROM
dbo.Hotel
INNER JOIN dbo.Hotel_Reservation
ON dbo.Hotel.hotel_code = dbo.Hotel_Reservation.hotel_code
INNER JOIN dbo.Room_type_rates
ON dbo.Hotel.hotel_code = dbo.Room_type_rates.hotel_code
INNER JOIN dbo.Types
ON dbo.Hotel_Reservation.room_type_code = dbo.Types.room_type_code
AND dbo.Room_type_rates.room_type_code = dbo.Types.room_type_code
WHERE
(dbo.Room_type_rates.room_type_code = Room_type_rates_1.room_type_code)
AND (dbo.Hotel.hotel_code = Hotel_1.hotel_code)
AND (dbo.Hotel_Reservation.checkin_date >= Hotel_Reservation_1.checkin_date)
AND (dbo.Hotel_Reservation.checkout_date <= Hotel_Reservation_1.checkout_date)
) AS RoomsTaken
FROM
dbo.Hotel AS Hotel_1
INNER JOIN dbo.Hotel_Reservation AS Hotel_Reservation_1
ON Hotel_1.hotel_code = Hotel_Reservation_1.hotel_code
INNER JOIN dbo.Room_type_rates AS Room_type_rates_1
ON Hotel_1.hotel_code = Room_type_rates_1.hotel_code
INNER JOIN dbo.Types AS Types_1
ON Hotel_Reservation_1.room_type_code = Types_1.room_type_code
AND Room_type_rates_1.room_type_code = Types_1.room_type_code
WHERE
(Hotel_Reservation_1.checkin_date >= '11/19/2011')
AND (Hotel_Reservation_1.checkout_date <= '12/01/2011')
AND (Hotel_1.hotel_country = 'Adelaide')
AND (Types_1.room_type_code = Types_2.room_type_code)
) AS RoomsAvailable
FROM
dbo.Hotel AS Hotel_2
INNER JOIN dbo.Room_type_rates AS Room_type_rates_2
ON Hotel_2.hotel_code = Room_type_rates_2.hotel_code
INNER JOIN dbo.Types AS Types_2
ON Room_type_rates_2.room_type_code = Types_2.room_type_code
Current Output :
ADL20 Adelaide CPL 6 Couple Suite 514.0000 3
ADL20 Adelaide FYU 3 Family Suite 533.0000 2
ADL20 Adelaide KNG 2 King's Bedroom 556.0000 NULL
Do you mean this?:
...ISNULL(COUNT(dbo.Hotel.*),0)...
Or is the problem that you're getting NULL at all? In that case I would suspect your JOINs may have a problem.
You can wrap an ISNULL around any nested subquery or value.