Possibly Extremely Simple SQL Query

Jan 27, 2004

Right, I'm no SQL programmer. As I type this, I have roughly the third the hair I had at 5 o'clock last night. I even lost sleep over it.

I'm trying to return a list of records from a database holding organisation names. As I've built a table to hold record versions, the key fields (with sample data) from a View I created to display this is as follows:

record_id-----org_id-----live-----version

====== ===== === =====

1-------------1----------0----------1

2-------------2----------0----------1

3-------------1----------1----------2

4-------------2----------0----------2

as you can see the record id will always be unique. record 3 is a newer version of record 1, and 4 of 2. the issue is thus: i only want to return unique organisations. if a version of the organisation record is live on the system (in this case record id 3), i want to return the live version with its unique record id. i'm assuming for this i can perform a simple "SELECT WHERE live = 1" query.

however, some organisations will have no live versions (see org with id 2). i still wish to return a record for this organisation, but in this case the most recent version ie version 2 (and again - its unique record id)

in actual fact, it seems so much clearer when laid out like this. however, i feel it's not going to happen this end, and so any help would be greatly appreciated.

many thanks in advance,

phil

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Possibly Simple Query But I'm Not Good Enough To Fathom It!

Mar 8, 2006

Hi AllI know that I should supply the DDL for the tables I'm going to talk about,but I'm not 100% on how to generate them just yet. Hopefully my question ismore a query methodology question than how the tables are constructed.My first attempt at the query is as follows:SELECT st.STOCKID, sd.FULLDESCRIPTION, sc.NAME, Sum(sq.QUANTITYINSTOCK) AS'Qty In Stock Total', Sum(st.QUANTITY) AS 'Qty Sold'FROM STOCK s, STOCKCATEGORIES sc, STOCKDESCRIPTIONS sd, STOCKQUANTITIES sq,STOCKTRANSACTIONS stWHERE sc.STOCKCATEGORYID = s.STOCKCATEGORYID AND st.STOCKID = s.STOCKID ANDsd.STOCKID = s.STOCKIDAND sq.STOCKID = s.STOCKID AND (sd.LANGUAGEID='UK') AND(st.TRANSACTIONTYPE=8) AND(sq.QUANTITYINSTOCK > 0)GROUP BY st.STOCKID, sd.FULLDESCRIPTION, sc.NAMEThis works in a fashion, but I need to sort of query the stocktransactionstable again to get the sum of the st.QUANTITY table for st.TRANSACTIONTYPE=1so that I can have an extra select field of Sum(st.QUANTITY) AS 'QtyOrdered', ie transactions with transactiontype of 1 are sales orders andtype 8 are invoices.I basically need to get a report result of:PRODUCT, DESCRIPTION, CATEGORY, CURRENT_STOCK_QTY, SALES_IN_PERIOD,ORDERS_IN_PERIODIs there any pointers whatsoever you can give me to try and get thisdouble-double query to work?Many thanks.Rgds Laphan

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Oct 26, 2006

I need to return the current case cost for every UPC in my table. In my current query I return case costs that have an effective date of today or earlier. The problem is that in my results, one UPC may have two or more case costs that were are effective <= GETDATE(). I can sort it by effective date (DESC) so I know the first of every UPC in my results will be the current effective case cost, but how do I modify my query so that in my result set I only get the first of every UPC?

Here is my query:

SELECT factCaseCosts.nUpcKey, factCaseCosts.dCaseCost, factCaseCosts.dtEffectiveDate
FROM factCaseCosts
WHERE (factCaseCosts.dtEffectiveDate <= GETDATE())
ORDER BY dtEffectiveDate DESC

Here is my current result set:
52023.762006-08-01 00:00:00
52023.762006-02-18 00:00:00
52123.762006-08-01 00:00:00
52123.762006-02-18 00:00:00
52230.362006-08-01 00:00:00
52230.362006-02-18 00:00:00
52323.762006-08-01 00:00:00
52323.762006-02-18 00:00:00

I only want the first 520 returned, the first 521 returned, the first 522 returned, and the first 523 returned.
How can I do this?
Thanks!

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Possibly Incorrect Query Result

Jul 13, 2006

/* Test table */
create table test (c1 char(1), c2 varchar(1));
insert into test values ('','');

/* Query */
select
c1,
len(c1) len_c1,
c2,
len(c2) len_c2
from test

The result of the len(c1) expression is 0. I would expect the correct result to be 1, since "c1" is a fixed-length character string type and the values are right-padded with spaces to fit the defined length, in this case 1.

I'm using SQL Server 2005.

Regards,
Ole Willy Tuv

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Mar 21, 2007

Hi all,

I have a query, rather complex one to deal with more than 1 million rows, used to run 40 minutes in SQL Server 2000 in query analyzer. Now, it has been 10 hours in SQL Server 2005 in management studio. And still has not finished yet! Anything can go wrong here. Basically nothing changes, except for I have my server upgrade from SQL Server 2000 to SQL Server 2005. Seems something is wrong crazy in SQL Server 2005. Any suggestions?

Thanks,

Ning

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Jun 23, 2006

Hello Everyone,I have a very complex performance issue with our production database.Here's the scenario. We have a production webserver server and adevelopment web server. Both are running SQL Server 2000.I encounted various performance issues with the production server with aparticular query. It would take approximately 22 seconds to return 100rows, thats about 0.22 seconds per row. Note: I ran the query in singleuser mode. So I tested the query on the Development server by taking abackup (.dmp) of the database and moving it onto the dev server. I ranthe same query and found that it ran in less than a second.I took a look at the query execution plan and I found that they we'rethe exact same in both cases.Then I took a look at the various index's, and again I found nodifferences in the table indices.If both databases are identical, I'm assumeing that the issue is relatedto some external hardware issue like: disk space, memory etc. Or couldit be OS software related issues, like service packs, SQL Serverconfiguations etc.Here's what I've done to rule out some obvious hardware issues on theprod server:1. Moved all extraneous files to a secondary harddrive to free up spaceon the primary harddrive. There is 55gb's of free space on the disk.2. Applied SQL Server SP4 service packs3. Defragmented the primary harddrive4. Applied all Windows Server 2003 updatesHere is the prod servers system specs:2x Intel Xeon 2.67GHZTotal Physical Memory 2GB, Available Physical Memory 815MBWindows Server 2003 SE /w SP1Here is the dev serers system specs:2x Intel Xeon 2.80GHz2GB DDR2-SDRAMWindows Server 2003 SE /w SP1I'm not sure what else to do, the query performance is an order ofmagnitude difference and I can't explain it. To me its is a hardware oroperating system related issue.Any Ideas would help me greatly!Thanks,Brian T*** Sent via Developersdex http://www.developersdex.com ***

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Dec 8, 1999

I have a situation where I may have found a bug in SQL 6.5. I have a process that creates a temp table, then calls a stored procedure that uses that temp table, and the temp table has an identity column on it. The second procedure declares a cursor using an ORDER BY clause on the identity column and spins through the records, updating each row. The below sample is a test case that I think proves the bug. If you remove the ORDER BY clause from the cursor declaration, it works fine. Because of the nature of our data, we have to have the ORDER BY clause.

If you put the following code in a window, run it, you'll see. Then remove the ORDER BY and rerun and you'll get good results. Has anyone seen this or know of a work around? The only solution I have for a workaround is to select the data from the temp table into another temp table and declare the cursor on the second temp table. That seems to work fine. Any suggestions will be appreciated.

SQL SERVER 6.5 - SP5a; NT 4.0 SP5

Thanks,
Mike Nolen
Dealer Solutions Sr. DBA
Houston, TX

-----------SNIP AND RUN------------
-- just needed for the below proc to compile...
create table #mn_temp (
col1 int identity NOT NULL,
col2 char(1)NOT NULL
)
go

drop proc mn2
go
create proc mn2
as
begin
declare @iint, @cchar(1)

-- insert a few records
insert into #mn_temp values ('A')
insert into #mn_temp values ('B')
insert into #mn_temp values ('C')
insert into #mn_temp values ('D')
insert into #mn_temp values ('E')

-- cursor should spin through 5 records
declare aaa cursor for
select col1, col2 from #mn_temp
order by col1

open aaa

fetch next from aaa into @i, @c
select @@fetch_status "fs", @i "ident", @c "char"

while (@@fetch_status <> -1)
begin
print 'In while loop'

fetch next from aaa into @i, @c

-- should print 1A, 2B, 3C, 4D, 5E...but it doesn't!!!
select @@fetch_status "fs", @i "ident", @c "char"
end
close aaa
deallocate aaa
end
go

-- temp table no longer needed...drop it before compiling mn0...
drop table #mn_temp
go

drop proc mn0
go
create proc mn0
as
begin
create table #mn_temp (
col1 int identity NOT NULL,
col2 char(1) NOT NULL )

exec mn2
end
go

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Possibly Merge Join Bug?

Mar 27, 2006

i'm merge joining 2 data sources, one is oracle and the other is excel...the problem is in the oracle source, it's a sql statement like:

select hdr.div_ord_no, hdr.mtr_no, hdr.prod_cd
from qctrl_div_ord_header hdr,
(select max(sub.eff_dt_from) min_eff_dt_from, div_ord_no
from qctrl_div_ord_header sub
group by div_ord_no
) tmp
where hdr.eff_dt_from = tmp.min_eff_dt_from
and hdr.div_ord_no = tmp.div_ord_no

having that sql statement, merging will come out with 0 rows

however, having a simple query like:

select hdr.div_ord_no, hdr.mtr_no, hdr.prod_cd
from qctrl_div_ord_header hdr

merging will come out with 2 rows

you may think that the data in the first sql statement is not there for the merge, which causing the 0 rows, however, the data is there, i'm only joining by one column and definitely the data is there, the merge result should be 2 rows for both query statements

i believe this is a problem with SSIS, anyway around this?

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Autogrow Of Log File Possibly Cause Timeout?

Jan 30, 2007

i had a problem with a server instance where an app processing a file and putting the data into the database using a stored procedure was timing out. the app is a service and in the case of errors, will try to process the file until it has been succesfully added data to the database. in the event viewer i keep seeing this message during this timeout period:

"Autogrow of file 'mydatabase_log' in database 'mydatabase' was cancelled by user or timed out after 15687 milliseconds. Use ALTER DATABASE to set a smaller FILEGROWTH value for this file or to explicitly set a new file size."

is there a possibility that this process was causing my SP to timeout? are there any other log or debug files that SQL Express creates that might be helpful in discovering what caused the timeout? currently the log is at... ouch 10gigs restricted... maybe trying to autogrow from this while restricted is hogging resources?

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Question About Database Mirroring And Possibly NLB

Sep 12, 2006

OK since my company really would not prefer to spend the money for Windows 2003 Enterprise and MS SQL 2005 Enterprise I was thinking about this idea...

Server1 - W2K3 Std - SQL2005 Std - Primary
Server2 - W2K3 Std - SQL2005 Std - Mirror
Server3 - W2K3 Std - SQL2005 Std - Witness
Server4 - W2K3 Std - SQL2005 Std - Processing

OK So we have Server1 & Server2 doing the Database Mirroring. Then I have Server3 as the Witness to say who is the Primary and so forth. Now Server4 I thinking to us to create jobs that will run on a Schedule to pull data from our Ticketing system and import it into Server1 & Server2 (Yes this is a Datawarehouse).. So what I am wondering... We really wish to not have to change our connections to the DB with the Failover connection string and just use a common name. Since we are not usng Enterprise I can not do the Failover Clustering... So what I was wondering is if we could use the MS NLB. So for example with Server1 being primary and Server2 being Mirror... Server1 dies or goes down for maintance or whatever... Then Server3 will notice that and say OK Server2 you are now primary but also have Server3 go into the MS NLB and say Server3 Online and take all connections. Then when Server1 comes back on-line it is set as the Mirror system and is Offline in the NLB... Is this possible? If yes can someone either A... Give me directions on how to do that... or B shot me some URL's where I can read up on this stuff?

Thanks for all your help anyone is able to provide. It is greatly appricated.

Billy S.

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SUM And JOIN And Possibly GROUP BY - Incorrect Value Returned By SUM

Mar 23, 2006

It's me again :)

So; if you read my earlier thread here (http://www.dbforums.com/showthread.php?t=1214353), you'll know that I'm trying to build stored procedures to deal with ticketing queries, and that it's all getting a bit complicated. I have, however, made a bit of progress and now have the following working:

CREATE PROCEDURE [dbo].[getAvailableTickets]
@eventId INT,
@standId INT,
@admissionDateId INT,
@concessionId INT,
@userId INT

AS

DECLARE @startyear DATETIME
DECLARE @endyear DATETIME
SELECT @startyear=CONVERT(datetime, '2006/01/01')
SELECT @endyear=CONVERT(datetime, '2006/12/31')

SELECT
[tblTickets].[id] AS ticketId,
[tblEvents].[id] AS eventId,
[tblStands].[id] AS standId,
[tblAdmissionDates].[id] AS admitDateId,
[tblEvents].[event_name],
[tblStands].[stand_name],
[tblTicketConcessions].[concession_name],
[tblMemberships].[membership_name],
[tblAdmissionDates].[admission_start_date],
[tblAdmissionDates].[admission_end_date],
[tblBookingMinQuantities]. AS minBookingQuantity,
[tblBookingMaxQuantities].[booking_quantity] AS maxBookingQuantity,
MIN([tblQuotas].[quota]) AS Quota,
[B]SUM([tblBasket].[ticket_quantity]) AS History,
[tblTickets].[price],
[tblTickets].[availability]

FROM [tblTickets]
LEFT JOIN [tblEvents]ON [tblEvents].[id] = [tblTickets].[event_id]
LEFT JOIN [tblStands]ON [tblStands].[id] = [tblTickets].[stand_id]
LEFT JOIN [tblBookingDates]ON [tblBookingDates].[id] = [tblTickets].
LEFT JOIN [tblTicketConcessions]ON [tblTicketConcessions].[id] = [tblTickets].[ticket_concession_id]
LEFT JOIN [tblBookingQuantities] AS tblBookingMinQuantities ON [tblBookingMinQuantities].[id] = [tblTickets].[booking_min_quantity_id]
LEFT JOIN [tblBookingQuantities] AS tblBookingMaxQuantitiesON [tblBookingMaxQuantities].[id] = [tblTickets].[booking_max_quantity_id]
LEFT JOIN [tblAdmissionDates]ON [tblAdmissionDates].[id] = [tblTickets].[admission_date_id]
LEFT JOIN [tblMemberships]ON [tblMemberships].[id] = [tblTickets].[membership_id]
LEFT JOIN [tblQuotas]ON
([tblQuotas].[event_id] = [tblTickets].[event_id] OR [tblQuotas].[event_id] IS NULL) AND
([tblQuotas].[stand_id] = [tblTickets].[stand_id] OR [tblQuotas].[stand_id] IS NULL) AND
([tblQuotas].[admission_date_id] = [tblTickets].[admission_date_id] OR [tblQuotas].[admission_date_id] IS NULL) AND
([tblQuotas].[concession_id] = [tblTickets].[ticket_concession_id] OR [tblQuotas].[concession_id] IS NULL) AND
([tblQuotas].[membership_id] = [tblTickets].[membership_id] OR [tblQuotas].[membership_id] IS NULL) AND
([tblQuotas].[ticket_id] = [tblTickets].[id] OR [tblQuotas].[ticket_id] IS NULL)
[B]LEFT JOIN [tblBasket] ON [tblBasket].[ticket_id] = [tblTickets].[id]
LEFT JOIN [tblOrders] ON [tblOrders].[id] = [tblBasket].[order_id]

WHERE 1=1
AND ([tblTickets].[ticket_open] = 1)
AND (([tblEvents].[id] = @eventId OR @eventId = 0)AND ([tblEvents].[event_open] = 1))
AND (([tblStands].[id] = @standId OR @standId = 0)AND ([tblStands].[stand_open] = 1))
AND (([tblAdmissionDates].[id] = @admissionDateId OR @admissionDateId = 0)AND ([tblAdmissionDates].[date_open] = 1))
AND ([tblTicketConcessions].[id] = @concessionId OR @concessionId = 0)
AND ((getdate() BETWEEN [tblBookingDates]. AND [tblBookingDates].[booking_end_date]) OR ([tblBookingDates].[booking_start_date] IS NULL AND [tblBookingDates].[booking_end_date] IS NULL))
AND (([tblMemberships].[id] IN (SELECT [membership_id] FROM [tblUsers_Memberships] WHERE [user_id]=@userId)) OR [tblMemberships].[id] IS NULL)
[B]AND ([tblOrders].[user_id] = @userId OR @userId=0)

GROUP BY
[tblTickets].[id],
[tblEvents].[id],
[tblStands].[id],
[tblAdmissionDates].[id],
[tblEvents].[event_name],
[tblStands].[stand_name],
[tblTicketConcessions].[concession_name],
[tblMemberships].[membership_name],
[tblAdmissionDates].[admission_start_date],
[tblAdmissionDates].[admission_end_date],
[tblBookingMinQuantities].[booking_quantity],
[tblBookingMaxQuantities].[booking_quantity],
[tblTickets].[price],
[tblTickets].[availability]
GO

Except... there's two problems with it. One is that it only returns tickets that you've already bought, the other is that it doens't work out correctly how many of those tickets you've bought in past orders.

This is what's in tblBasket:

idticket_idquantityorder_iddate
152321/03/2006
262321/03/2006
3144421/03/2006
4154421/03/2006
551421/03/2006

Both the orders in there are for the same user id: "1". All the tickets in there are tied to event "2".

When I run Exec dbo.getAvailableTickets 2,0,0,0,1, it tells me it's found 6 of ticket 5, 4 of ticket 6 and 12 of ticket 14. And I can't for the life of me figure out how it's calculating it. Any ideas?

And how do i get it to return all tickets regardless of whether you've bought them previously or not?

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May 1, 2007

I have the following table.GO/****** Object: Table [dbo].[itTransactionProcess] Script Date:05/01/2007 10:42:31 ******/SET ANSI_NULLS ONGOSET QUOTED_IDENTIFIER ONGOCREATE TABLE [dbo].[itTransactionProcess]([TransactionID] [int] IDENTITY(1,1) NOT NULL,[LotNumber] [int] NOT NULL,[CurrentProcessStepID] [int] NOT NULL,[NextProcessStepID] [int] NULL,[CategoryID] [int] NULL,[ProductID] [int] NULL,[ProductVariantID] [int] NULL,[ParentTransactionID] [int] NULL,[TransactionDateEntered] [datetime] NULL,[TransactionDateExit] [datetime] NULL,[Settlement] [money] NULL,[Completed] [int] NULL,CONSTRAINT [PK_itTransactionProcess] PRIMARY KEY CLUSTERED([TransactionID] ASC)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY= OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]) ON [PRIMARY]Sample data is as followsBasically what I need to do is return the lotid where all path have asettlement date.this is my current procedure/****** Object: StoredProcedure [dbo].[getPendingSettlementDetails] Script Date: 05/01/2007 10:47:47******/SET ANSI_NULLS ONGOSET QUOTED_IDENTIFIER ONGOALTER PROCEDURE [dbo].[getPendingSettlementDetails]ASdeclare @LotNumbersTable table(LotNumber int)insert into @LotNumbersTable EXEC GetPendingSettlementsLotNumbersDeclare @ResultsTable table(LotNumber int, Company varchar(150),Contact varchar(150), DateReceived datetime, DateComplete datetime,SettlementLength int)Declare @LotNumber intDeclare @DateRecieved datetime, @DateComplete datetimeDeclare @NumberOfDaysForSettlement intDeclare @Company varchar(150)Declare @Contact varchar(150)select @LotNumber = min(LotNumber) from @LotNumbersTablewhile @LotNumber is not null beginSelect @DateRecieved = min(TransactionDateEntered) fromitTransactionProcess where LotNumber = @LotNumberSelect @DateComplete = max(TransactionDateExit) fromitTransactionProcess where LotNumber = @LotNumber and Settlement isnot nullSET @NumberOfDaysForSettlement = DATEDIFF(DAY, @DateRecieved,@DateComplete)Select @Company = Company from SP_Active_Lot_Deliveries where LotID =@LotNumberSelect @Contact = ContactName from SP_Active_Lot_Deliveries whereLotID = @LotNumberINSERT INTO @ResultsTable (LotNumber, DateReceived, DateComplete,SettlementLength, Company, Contact) Values(@LotNumber, @DateRecieved, @DateComplete,@NumberOfDaysForSettlement, @company, @contact)select @LotNumber = min(LotNumber) from @LotNumbersTable whereLotNumber @LotNumberendSelect * From @ResultsTable where SettlementLength is not nullhere is sample data"TransactionID","LotNumber","CurrentProcessStepID","NextProcessStepID","CategoryID","ProductID","ProductVariantID","ParentTransactionID","TransactionDateEntered","TransactionDateExit","Settlement","Completed""628","47","1","2","5","","","","","2007-05-0110:23:15.747000000","","""629","47","1","3","17","","","","","2007-05-0110:23:15.747000000","0.25","""630","47","1","4","34","","","","","2007-05-0110:23:15.747000000","-0.15","""631","47","1","3","38","","","","","2007-05-0110:23:15.747000000","-0.15","""632","47","1","4","33","","","","","2007-05-0110:23:15.747000000","-0.35","""633","47","1","3","15","","","","","2007-05-0110:23:15.747000000","10","""634","47","2","3","86","","","628","2007-05-0110:23:15.747000000","2007-05-01 10:32:41.320000000","-0.35","""635","47","3","","17","","","629","2007-05-0110:23:15.747000000","","","""636","47","4","","34","","","630","2007-05-0110:23:15.747000000","","","""637","47","3","","38","","","631","2007-05-0110:23:15.747000000","","","""638","47","4","","33","","","632","2007-05-0110:23:15.747000000","","","""639","47","3","","15","","","633","2007-05-0110:23:15.747000000","","","""640","47","2","3","85","","","628","2007-05-0110:24:47.983000000","2007-05-01 10:32:41.320000000","0.05","""641","47","2","4","88","","","628","2007-05-0110:24:56.343000000","2007-05-01 10:32:41.333000000","0.8","""642","47","2","4","9","","","628","2007-05-0110:25:07.517000000","2007-05-01 10:32:41.333000000","-0.15","""643","47","2","4","100","","","628","2007-05-0110:25:22.470000000","2007-05-01 10:32:41.333000000","-0.35","""644","47","2","4","90","","","628","2007-05-0110:25:44.297000000","2007-05-01 10:32:41.333000000","-0.35","""645","47","2","4","12","","","628","2007-05-0110:25:59.347000000","2007-05-01 10:32:41.333000000","-0.15","""646","47","2","4","26","","","628","2007-05-0110:26:12.610000000","2007-05-01 10:32:41.333000000","-0.35","""647","47","2","3","94","","","628","2007-05-0110:26:29.523000000","2007-05-01 10:32:41.333000000","-3","""648","47","2","3","95","","","628","2007-05-0110:26:47.323000000","2007-05-01 10:32:41.333000000","-0.35","""649","47","2","3","38","","","628","2007-05-0110:27:01.450000000","2007-05-01 10:32:41.333000000","-0.15","""650","47","2","4","33","","","628","2007-05-0110:27:15.533000000","2007-05-01 10:32:41.333000000","-0.35","""651","47","2","4","34","","","628","2007-05-0110:27:33.767000000","2007-05-01 10:32:41.333000000","-0.15","""652","47","2","3","96","","","628","2007-05-0110:27:46.850000000","2007-05-01 10:32:41.350000000","-0.35","""653","47","2","3","97","","","628","2007-05-0110:28:00.917000000","2007-05-01 10:32:41.350000000","0.05","""654","47","2","4","36","","","628","2007-05-0110:28:10.813000000","2007-05-01 10:32:41.350000000","-15","""655","47","2","4","37","","","628","2007-05-0110:28:25.347000000","2007-05-01 10:32:41.350000000","0.35","""656","47","2","3","98","","","628","2007-05-0110:28:36.917000000","2007-05-01 10:32:41.350000000","-0.35","""694","47","2","10","26","","","628","2007-05-0110:32:17.170000000","2007-05-01 10:32:41.350000000","","""695","47","2","10","35","","","628","2007-05-0110:32:27.883000000","2007-05-01 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you follow transaction id 714 up through the parent transaction idsit doesn't not have a settlement cost yet lot 47 shows up as settled.Thanks for you help.

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Hey Guys

I have a huge speed issue on one or two of my SQL Tables. I have included the basic design below.

Structure
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ParentId
Name

Group
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ParentId
Name
Weight

Products
Id
Name

StructureProducts
StructureId
ProductId
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StructureId
GroupId

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ProductId

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Example:
Earth [Structure]
- Asia [Structure]
--- China [Structure]
--- Japan [Structure]
----- Computer Stuff [Group]
------- Desktops [Group]
------- Servers [Group]
------- Laptops [Group]
--------- HP [Product]
--------- Dell [Product]
--------- Fujitsu [Product]
- Europe [Structure]
--- Germany [Structure]
----- Berlin [Structure]
--- Italy [Structure]
----- Rome [Structure]
----- Venice [Structure]
- America [Structure]
--- United States of America [Structure]
----- New York [Structure]
------- Computer Stuff [Group]
--------- Desktops [Group]
--------- Servers [Group]
--------- Laptops [Group]
----------- HP [Product]
----------- Dell [Product]
------- Home Stuff [Group]
--------- Kitchen Stuff [Group]
--------- bedroom Stuff [Group]
----- Washington [Structure]
------- Computer Stuff [Group]
--------- Desktops [Group]
--------- Servers [Group]
--------- Laptops [Group]
----------- HP [Product]
----------- Dell [Product]
----------- Acer [Product]
------- Home Stuff [Group]
--------- Kitchen Stuff [Group]
--------- bedroom Stuff [Group]
----- Chicago [Structure]
------- Computer Stuff [Group]
--------- Desktops [Group]
--------- Servers [Group]
--------- Laptops [Group]
------- Home Stuff [Group]
--------- Kitchen Stuff [Group]
--------- bedroom Stuff [Group]
- Africa [Structure]
--- South Africa [Structure]
----- Johannesburg [Structure]
------- Computer Stuff [Group]
--------- Desktops [Group]
--------- Servers [Group]
--------- Laptops [Group]
----------- Acer [Product]
------- Home Stuff [Group]
--------- Kitchen Stuff [Group]
--------- bedroom Stuff [Group]
----- Durban [Structure]
----- Capte Town [Structure]
- Australasia [Structure]

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3. Continue this till GroupTree is at root (parentid == null)
4. Using the next structure up along the treeview, repeat steps 2 & 3.
5. Continue steps 4 until Structuree is at root (parentid == null)

Example
Scoring a product for Johannesburg Acer Laptop would go as follows
1. Initial score for [Acer] product against Group [Laptop] for Johannesburg.
2. Calculate Score for all products (productid = null) against Laptop for Johannesburg
3. Calculate Score for [Acer] product against Group [Computer Stuff] for Johannesburg
4. Calculate Score for all products against Group [computer Stuff] for Johannesburg
5. Calculate score for [Acer] product against all root groups for Johannesburg
5.1. Group [Comptuer Stuff] and [Home Stuff]
6. Calculate score for all products against all root groups for Johannesburg
6.1. Group [Comptuer Stuff] and [Home Stuff]
7. Calculate score for [Acer] Product against Group Laptop for South Africa
8. Calculate Score for all products (productid = null) against Laptop for South Africa
9. Calculate Score for [Acer] product against Group [Computer Stuff] for South Africa
10. Calculate Score for all products against Group [computer Stuff] for South Africa
11. Calculate score for [Acer] product against all root groups for South Africa
11.1. Group [Comptuer Stuff] and [Home Stuff]
12. Calculate score for all products against all root groups for South Africa
12.1. Group [Comptuer Stuff] and [Home Stuff]
13. Calculate score for [Acer] Product against Group Laptop for Africa
14. Calculate Score for all products (productid = null) against Laptop for Africa
15. Calculate Score for [Acer] product against Group [Computer Stuff] for Africa
16. Calculate Score for all products against Group [computer Stuff] for Africa
17. Calculate score for [Acer] product against all root groups for Africa
17.1. Group [Comptuer Stuff] and [Home Stuff]
18. Calculate score for all products against all root groups for Africa
18.1. Group [Comptuer Stuff] and [Home Stuff]
etc. etc. etc...

This basicly coveres the concept behind the basic scoring methodology. Now the methodology splits into 2. The first Methodology 1, say it should do these calculations using the Exact same date as the original scored date. (Ie. if i do a score today, only scores on today will be used in the calculations). The other, Methodology 2, says that it should do the calculations on the latest available date. (Ie. If i do a score today, only scores from today and the latest before today will be used in the calculations).

Now to add another problem to this already complex process, is that each Group and each product within a structure can have either of the 2 scoring methodologies assigned to it. Also, products can only be scored against the structures and groups that they are assigned to. Ie, Acer exists in Laptop Group, in Johannesburg or South Africa or Africa, but doesnt exist in New York.

Ok, so now that i've explained briefly how this scoring works, let me get to the heart of the problem. Basicly its speed (can clearly see why), though the speed issue only comes
up in 1 Place. And that is where it has to look backwards for the latest available score for the required group, structure and product.

For this to happen i wrote a function
ALTER FUNCTION [dbo].[GetLatestAnswerDateId]
( @StructureId INT,
@GroupId INT,
@ProductId INT,
@AnswerDateId INT )
RETURNS INT
AS
BEGIN
DECLARE @Id INT
DECLARE @Date DATETIME

SELECT TOP 1 @Date = [Date]
FROM [dbo].[AnswerDate]
WHERE [Id] = ISNULL(@AnswerDateId, [Id])
ORDER BY [Date] DESC

SELECT TOP 1 @Id = ad.id--gs.[AnswerDateId]
FROM [dbo].[Scoring] gs
INNER JOIN [dbo].[AnswerDate] ad ON ad.Id = gs.AnswerDateId
WHERE [StructureId] = @StructureId
AND ISNULL([GroupId], -1) = ISNULL(@GroupId, -1)
AND ISNULL([ProductId], -1) = ISNULL(@ProductId, -1)
AND [Date] <= @Date
ORDER BY [Date] DESC

RETURN @Id
END

Now on small amounts of data (1000 rows or so) its quick, though that is due to the fact that the data is minimal, but on large amounts of data this function runs for along time. Specificly in the context of the following when there is 6 months of scoring data (100 000+ rows) to peruse.

SELECT [StructureId], [GroupId], [AnswerDateId], [ProductId], [Score]
FROM [Scoring]
WHERE AnswerDateId = GetLatestAnswerDateId([Structure], [GroupId], [ProductId], null)
AND [StructureId] = South Africa
AND [GroupId] = Computer Stuff
AND [ProductId] = Acer

Any idea's on how to make this quick? or quicker?

My Current runtime for calculating the 2500 base scores (totals 100 000+- rows) takes 15 hours. Though this is an initial calculation and is only supposed to be done once.
Also, this calculations are all correct, so my only issue itself is the speed of the entire process.

Thanks In Adance

Jonathan

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