I've read that if particular tables are frequently queried together through a join then these tables should be placed on different devices on different physical disks.
What does this mean exactly and how would you configure this?
Is this a common practice in high-performance real-world environments (or should it be)?
I am testing out a blank database created over two physical files on two separate disks with one table called data which has one column called values nvarchar(max).
I filled the table up with a whole load of data and ran a select * against it. If I run Permon at the same time I can see that the read load has been spread over multiple disks as each of these disks is getting read from in parallel. If I create the same database on a single file and run the same select * again it takes much longer, proving that the read load has been distributed across multiple disks.
Now moving onto writes, this is where the confusion lies. I understand that SQL server fills files evenly until they need growing, after which it will then fill files individually until they are full in a round robin fashion unless you have trace 1117 turned on. What I don't understand is why the writes aren't distributed out whilst it is filling these file groups.
I ran an continual insert into my table with go 1000000 to monitor how the files are being filled up. I monitored where SQL server was physically placing the files as they were being inserted by running the following query:
;WITH CTE AS (SELECT sys.fn_PhysLocFormatter (%%physloc%%) col1, RIGHT(LEFT(sys.fn_PhysLocFormatter (%%physloc%%),2),1) AS [Physical RID], DATAID
[Code] ....
I could see that it would a thousand or so records into file 1, then a thousand or so into file 2, then a thousand or so into file 1 etc etc. In another words it would hit one disk, then another disk, then back to disk one to fill the file evenly. Is there any way to make SQL Server distribute the writes out in parallel so that both disks are writing in tandem?
By the looks of it, multiple disks only scale reads, as with writes only one disk is ever written to at once which is annoying. Any way to harness the write power of multiple disks?
We are in the process of replacing our primary production server. In the process of determining how SQL server is going to be structured, it has been suggested that I place all current and new indexes on a separate file group. These filegroups would then reside on a separate shelf on the server. What are the pros and cons of doing this?
I am trying to add 2 separate columns from separate tables i.e column1 should be added to column 2 when inserted and I want to use a trigger but i don't know the syntax to use...
I posted Wednesday thinking a SELECT Distinct would solve my problem but it didn't. I have a stored procedure that is used to grab data from 4 tables that I need to join. The 1st table (Application) holds a job applicant's name and some other data The 2nd table (Jobs) holds the Job name and test type The 3rd table (Locations) holds the locations Then there is a foreign key many to many table (Application_Locations) that holds the applicants UserID and a LocationID. This table may have multiple rows for the same applicant with different locations in each row.
When the procedure is ran I want all the data that I am requesting from the Application table, and all the data that I am requesting from the Jobs table but only the 1st returned result of the Join on the Locations and Application_Locations table. What do I need to do to correct this so that I only display 1 row for each UserID no matter how many locations thay may have applied to. (You will notice that there are some IF statements so only the 2nd and 4th queries in the sproc are the ones that apply )
Here is the SPROC that is currently in place but is displaying a row for each location.
IF @JobID <> 9999 BEGIN IF @LocationID <> 9999 BEGIN SELECT A.UserID, A.Completed, A.FolderID, A.AppDateTimeStart, A.ResumeFileName, A.FirstName, A.LastName, A.PrescreenScore, A.JobID, A.ViewPre, A.ViewApp, A.ViewReport, A.ViewResume, J.JobTitle, J.TestType, L.BranchAbbreviation, AL.LocationID FROM Locations L INNER JOIN Application_Locations AL ON AL.LocationID = L.LocationID INNER JOIN Application A ON AL.UserID = A.UserID INNER JOIN Jobs J ON J.JobID = A.JobID WHERE AL.LocationID= @LocationID AND A.FolderID= @FolderID AND A.JobID = @JobID ORDER BY CASE WHEN @SortOrder = '4' THEN A.AppDateTimeStart END DESC, CASE WHEN @SortOrder = '6' THEN A.PreScreenScore END DESC, CASE WHEN @SortOrder = '2' THEN A.LastName END DESC, CASE WHEN @SortOrder = '5' THEN A.PreScreenScore END ASC, CASE WHEN @SortOrder = '3' THEN A.AppDateTimeStart END ASC, CASE WHEN @SortOrder = '1' THEN A.LastName END ASC END
ELSE BEGIN SELECT A.UserID, A.Completed, A.FolderID, A.AppDateTimeStart, A.ResumeFileName, A.FirstName, A.LastName, A.PrescreenScore, A.JobID, A.ViewPre, A.ViewApp, A.ViewReport, A.ViewResume, J.JobTitle, J.TestType, L.BranchAbbreviation, AL.LocationID FROM Locations L INNER JOIN Application_Locations AL ON AL.LocationID = L.LocationID INNER JOIN Application A ON AL.UserID = A.UserID INNER JOIN Jobs J ON J.JobID = A.JobID WHERE A.FolderID= @FolderID AND A.JobID = @JobID ORDER BY CASE WHEN @SortOrder = '4' THEN A.AppDateTimeStart END DESC, CASE WHEN @SortOrder = '6' THEN A.PreScreenScore END DESC, CASE WHEN @SortOrder = '2' THEN A.LastName END DESC, CASE WHEN @SortOrder = '5' THEN A.PreScreenScore END ASC, CASE WHEN @SortOrder = '3' THEN A.AppDateTimeStart END ASC, CASE WHEN @SortOrder = '1' THEN A.LastName END ASC END END
ELSE BEGIN IF @LocationID <> 9999 BEGIN SELECT A.UserID, A.Completed, A.FolderID, A.AppDateTimeStart, A.ResumeFileName, A.FirstName, A.LastName, A.PrescreenScore, A.JobID, A.ViewPre, A.ViewApp, A.ViewReport, A.ViewResume, J.JobTitle, J.TestType, L.BranchAbbreviation, AL.LocationID FROM Locations L INNER JOIN Application_Locations AL ON AL.LocationID = L.LocationID INNER JOIN Application A ON AL.UserID = A.UserID INNER JOIN Jobs J ON J.JobID = A.JobID WHERE AL.LocationID= @LocationID AND A.FolderID= @FolderID ORDER BY CASE WHEN @SortOrder = '4' THEN A.AppDateTimeStart END DESC, CASE WHEN @SortOrder = '6' THEN A.PreScreenScore END DESC, CASE WHEN @SortOrder = '2' THEN A.LastName END DESC, CASE WHEN @SortOrder = '5' THEN A.PreScreenScore END ASC, CASE WHEN @SortOrder = '3' THEN A.AppDateTimeStart END ASC, CASE WHEN @SortOrder = '1' THEN A.LastName END ASC END
ELSE BEGIN SELECT A.UserID, A.Completed, A.FolderID, A.AppDateTimeStart, A.ResumeFileName, A.FirstName, A.LastName, A.PrescreenScore, A.JobID, A.ViewPre, A.ViewApp, A.ViewReport, A.ViewResume, J.JobTitle, J.TestType, L.BranchAbbreviation, AL.LocationID FROM Locations L INNER JOIN Application_Locations AL ON AL.LocationID = L.LocationID INNER JOIN Application A ON AL.UserID = A.UserID INNER JOIN Jobs J ON J.JobID = A.JobID WHERE A.FolderID= @FolderID ORDER BY CASE WHEN @SortOrder = '4' THEN A.AppDateTimeStart END DESC, CASE WHEN @SortOrder = '6' THEN A.PreScreenScore END DESC, CASE WHEN @SortOrder = '2' THEN A.LastName END DESC, CASE WHEN @SortOrder = '5' THEN A.PreScreenScore END ASC, CASE WHEN @SortOrder = '3' THEN A.AppDateTimeStart END ASC, CASE WHEN @SortOrder = '1' THEN A.LastName END ASC END END GO
I am using SQL Server 2005 to publish joined tables for SQL Mobile subscribers for merge replication and column level tracking.
Using Management Studio I am trying to join tables and specify row filters on the joined tables. I.E. table 1 is joined with table 2. I need to define row filters for table 1 and row filters specific to table 2.
An example would be: Table 1 is a customer table that I filter on a specific customer. Table 2 might be an orders table that I need to join to get the customers orders but I also want to filter for open orders only.
When I specify the row filter for table 2 the join appears to be ignored and I receive the complete table 2 with the row filter applied.
I have searched the online books and the web and I have not run accross an example of using both joins and row filters where the filters are specified for both joined tables.
I have 4 tables inner joined. Two of tables have ~500,000 rows, while other 2 have ~60,000. There are 4-5 WHERE conditions for 3 tables. Is it normal that a query lasts ~13-15 seconds? I tried indexing in all ways, subselects, temp tables etc, nothing helped.
I think it is unuseful to use indexes because WHERE conditions apply not to one, but to 3 tables.
Is there anyone who is expert in this topic? Thanx B
what i need is query the tbl1 for a range of serials,get the pcb and for those pcb's query the tbl2 for data1,data2 The resultSet should be a join on the two tables, Columns {serial} from tbl1 and {pcb,date_time,data1,data2} from tbl2
Please follow my simple example: Suppose tbl1 has these 2 records tbl1 = pcb1,sn1,pass pcb2,sn2,pass pcb3,sn3,pass
where date1 is the most recent date and date6 the least recent
Request:what i want is for serial>=sn1 and serial<=sn2,get the pcbs from tbl1(which are pcb1 and pcb2) and based on these, query the tbl2 for the other data but retrieve only most recent records.
and not pcb1,date1,pass,dataX1,dataY1 pcb1,date2,pass,dataX2,dataY2 pcb1,date5,pass,dataX5,dataY5 pcb2,date3,pass,dataX3,dataY3 pcb2,date6,pass,dataX6,dataY6
What i already did is this:
select max(CONVERT(DATETIME,tbl2.date_time,103)),tbl1.serial,tbl2.pcb from tbl2 left JOIN tbl1 ON tbl2.Pcb=tbl1.pcb where tbl1.serial>='1' and tbl1.serial<='53' and tbl2."Result" like 'pass' and tbl1."result" like 'pass' group by tbl2.pcb,tbl1.serial;
This works correctly for getting serial from tbl1, date_time and pcb from tbl2.But unfortunately i also need data1 and data2 columns from tbl2. If i include them in the Select Clause i have to include them also in the group by ,and this gives me also duplicate records (by using this OR philosophy).I mean, it would give all records containing (pcb1,pcb2),much like my example
I'm managing an amature online university and I've been charged with creating a deans list. I have a table for exam results for each course.. currently totaling 5. I have an employeeID column and a total_points column in each table. Sooooo I need to join all the tables and get an average for total_points where the employeeID matches across tables. I have no idea how to write this select.. any help?
I have four tables (all inner joined) and currently they give me the results i need. However, my boss has now asked me to return all associated accounts as well.
I am currently pulling data from the four tables to make up my results table, and the returned results are based on the loan types in my loans tables having a loan type of '1A'
So if the loan type is 1A I get a result.
However, Mr Smith (for example) may have three loans but only one of them is type '1A'. The other two might be type '5H' and '2'.
What I need to be able to do is return all the associated accounts of any customer that has a type '1A' loan.
This is my code:
Select c.customernumber, l.accountsuffix, c.forename, c.surname, lt.code, l.balance, j.journeynumber from customers c inner join loanagreements l on c.customerid = l.customerid inner join loantypes lt on l.loantypeid = lt.loantypeid inner join journeys j on c.journeyid = j.journeyid Where j.journeynumber = 93 and lt.code = '1a' and l.balance >0
I get a 90-120 second blocking when send 15 or so simultaneous queriesto SQL Server 2000 that query a view made up of two joined tables.After each query is blocking for the same amount of time they allreturn. Further identical queries of this type work in 3-4 seconds(caching?) until hours later where it happens again. If I query thetables directly (without the view) I still get the same blocking. If Iremove the join (it is a simple inner join on two columns) I do not getthe blocking.Any ideas?
This seems like a very simple question but i have never been able tofind an easy answer to it.I have a user table and i do a join with another table, we'll call theother table a results table.The results table has numerous rows with the userid foreign key.I want to make a query that will give me the number of rows in theresults table for each user where the result is some valueThe query is simple to make but will only show the users who have arecord in the results table the meet the where criteria, however i wantto display each user and show a record count of 0 when there are noresults in the results table that match the criteria.for example i have 2 tables.tblUsers_______________userid | username--------------------------1 | user12 | user2tblAnswers________________userid | answer----------------------------1 | 11 | 01 | 42 | 12 | 0if i run the query:select max(username), count(answer) from tblUsersleft outer join tblanswers on tblAnswers.userid = tblUSers.idwhere tblAnswers.answer = 4group by tblUsers.idi just getuser1 | 1i want to getuser1 | 1user2 | 0the only way ive found to do this is with a temp table and a curser tocreate all the users records and go back through an insert the answercount for each user. This approach seems very expensive and requires aquery that is 3 times larger than is needed for the same resultswithout including 0 count records. I know there must be a better way todo this.Any help is appreciated.
I'm working on a query for a report. I've done this before and it works, but I think it's a little slow due to the joins and I'm wondering if I'm doing this the best way.
This is from a Microsoft CRM system. I'm only using the LEAD table. There is a field on the lead table called StateCode. When a user "Qualifies" a lead, the statecode changes. The report requires a column for total leads, a column for # of leads qualified, and a column for % of leads qualified. There are other columns, but those three will illustrate the problem.
Because total leads means all statecode values are included, and Qualified leads means only one statecode value is included, I can't get those two values from the same query (that I know of). So what I do is take two queries, one for total leads, and one for qualified leads, put them in parenthesis and name them, and then join them on the name of the leadsource, like below. I often end up with 10 or 15 of these "Query Tables" in my main query. Is this the best way?
Code Block SELECT * FROM ( SELECT LeadSource , COUNT(CreatedOn) FROM Leads GROUP BY LeadSource ) as A
LEFT OUTER JOIN
( SELECT LeadSource , Count(CreatedOn) , Count(CreatedOn) / (SELECT COUNT(CreatedOn) FROM leads) AS "% of Leads Qualified from this Lead Source" FROM Leads WHERE StateCode = 2 GROUP BY LeadSource ) as B ON A.LeadSource = B.LeadSource
Create view vwOrderItemTotal2 AS SELECT ItemName, fkMenuItemID, Sum(Quantity) as [SumOfMenuITems] FROM OrderItems GROUP BY fkMenuItemId, ItemName
When I present my data in a GridView, it works fine. For example, several orders for milk are returned as a summary quantity of 26 gallons in a single row of the GridView like this:
26 Milk
Now I need to filter my data by OrderDate and Zipcode. I created this new view:
Create view vwOrderItemTotal5 AS SELECT Orders.Zipcode, Orders.OrderDate, OrderItems.ItemName, OrderItems.fkMenuItemID, Sum(Quantity) as [SumOfMenuITems] FROM Orders INNER JOIN OrderItems ON Orders.OrderID = OrderItems.fkOrderID GROUP BY fkMenuItemId, ItemName, Zipcode, OrderDate
When I present my data in a Gridview using the new view I get a GridView with multiple rows for milk where each order has its own row like this:
1 Milk 5 Milk 6 Milk 6 Milk 3 Milk 1 Milk 4 Milk
But I want the data presentation in one row for each ItemName (e.g. Milk) as with my first view. Can I adjust my new view to achieve this, or should I stick with my first view (vwOrderItemTotal2) and adjust the Select Command in my SqlDataSource (hasn’t worked yet). I think that what I want is for the returned data to be grouped by fkMenuItemId only, but the sql server admin won’t let me create a view without including the other fields in the Group By clause. Thanks for any help provided in solving this.
Each row of my datagrid comes from two tables, A and B, which are (left) joined: not every row from table A has a corresponding row in table B. I think this is quite a common scenario.If I want to edit a row in my datagrid which contains data from both Table A and Table B then presumably I can just use an UPDATE statement behind the scenes.But what happens if I want to edit a particular row in the datagrid which contains data from Table A but no corresponding data from table B? I can't use an UPDATE statement because the record in Table B doesn't yet exist. So what do I do?Does anyone know the answer to this, or could you point me to a good tutorial please?
I have a query written that filters on joined table data. The SELECT looks like this:
SELECT * FROM tbl_bol AS a LEFT OUTER JOIN bol_status AS b ON b.bol_status_id = a.bol_status_id LEFT OUTER JOIN tbl_carrier AS c ON c.carrier_id = a.carrier_id WHERE (a.carrier_name LIKE 'five%') AND (a.accrueamt = 0) AND (a.imported = 1) AND (b.description = 'tendered') AND (a.ship_date BETWEEN '9/1/13' AND '9/30/13') ORDER BY a.bol_number DESC
If I want to do an UPDATE query that uses those filters in the WHERE clause, how do I go about doing that? It doesn't look like you can used joined tables in the UPDATE line like this:
UPDATE tbl_bol AS a LEFT OUTER JOIN bol_status AS b ON b.bol_status_id = a.bol_status_id LEFT OUTER JOIN tbl_carrier AS c ON c.carrier_id = a.carrier_id SET accrueamt='1348' WHERE (a.carrier_name LIKE 'five%') AND (a.accrueamt = 0) AND (a.imported = 1) AND (b.description = 'tendered') AND (a.ship_date BETWEEN '9/1/13' AND '9/30/13')
I joined different tables and got a result like this:
result | process | goal | date | ------- ---------- ------ ----------- ok | process4 | 1 | 12.10.2013 bad | process1 | 2 | 13.10.2013 ok | process1 | 4 | 12.12.2013 good | process4 | 1 | 03.01.2014 ok | process1 | 3 | 10.04.2013 bad | process3 | 6 | 09.01.2014 bad | process4 | 3 | 30.12.2013 best |NULL| NULL
Now I want to count the results by counting the processes and group them by the result.
But it should be count the latest result per process only, e.g. for goal "1" just "good" at 03.01.2014. I solved that with a subquery (date=SELECT MAX(...)..).
But now the result "best" disappears, because that column has no date.
Secondly I want to count results for a specific process, e.g. for process4. Every goal has max. one process, with different dates. But one process could have more than one goal.
I want to have this result for process4:
count | result ------ ------- 1 | good 1 | bad 0 | ok 0 | best
But I got only:
count | result ------ ------- 1 | good 1 | bad
I have tried a lot, but nothing works.
The whole result (best, good, ok, bad) are stored in an other table and I joined it.
I have a query which returns all parts and labour lines for a particular work order. It returns all parts lines seperately, but the labour lines are repeated for each row. What I want to accomplish for a given work order, is a list of all the parts lines, followed underneath by a list of all labour lines.This is the code from the report:
select h.worknumber, --- Select parts lines and charges wp.description as [charges desc], case when wp.charge_to_cust = 1 then wp.sale_price
[code]...
For this example what I'd like to see is 5 lines here - the labour description and charge under charges description, unit price, qty and est_parts_sale etc, and of course, there could be more than 1 labour line.
I'm trying to compare two varchars to check if they are the same, if they are the same then the color must turn red, if not then they must remain black
SELECT *
from members m, client c
where C.ClientID = m.ClientID
AND c.ClientID in (87,86)
AND m.email in ('dassd@fdskjh.com','asdfas@sdfd.net', etc...)
my results will give me two of the same email addresses but with different ClientID's, now when it
finds the same email it needs to make them both "RED"
I have a script that is supposed to run thru 2 joined tables and update a field in the 3rd table. The script works but takes approx. 4 hours to run against 250k records.
UPDATE a SET Con_Mailings = STUFF((SELECT '; ' + c.ListName FROM [server].[xxxxx_MSCRM].[dbo].ListBase c with (nowait) INNER JOIN [server].[xxxxxx_MSCRM].[dbo].[ListMemberBase] b with (nowait) ON b.ListID = c.ListID WHERE b.EntityID = a.TmpContactID FOR XML PATH('')),1,1,'') FROM [xx_Temp].[dbo].[Lyris_CombinedTest] a
I should end up with something like this in the con_mailings field:
Im trying to delete duplicate records from the output of the query below, if they also meet certain conditions ie 'different address type' then I would merge the records. From the following query how do I go about achieving one and/or the other from either the output, or as an extension of the query itself?
We have an archive table which keeps each instance of a sales order that was archived under a "Verion No" field. Each time the sales order is archived it is entered into the archive tables (Sales Header Archive, Sales Line Archive). What I am trying to do is write a query to return all sales orders but only the most recent archived version.
For example this table layout is similar to what I am working with. Version No, Order No and Customer No. are the keys between the Header and Line tables, Customer Name column in the output is from only the Sales Header Archive table
SALES LINE ARCHIVE TABLE Version No - Order No. - Customer No -----> (other columns) 1 s-5 1000
RESULTS OF JOINED TABLES Version No - Order No - Customer No - Customer Name ---> (other columns) 2 s-5 1000 Something, Inc. 1 s-6 2000 Acme 3 s-7 3000 Company, LLC 1 s-8 4000 Blah & Associates 2 s-9 2000 Acme
It should return the last Version No of each Sales order.
Does that make sense? It is something probably easy... But, I've spent two days using multiples and multiples of different ways, that just aren't working: I'm about to dropkick my server cabinet...
Table A has columns CompressedProduct, Tool, Operation
Table B in a differnt database has columns ID, Product, Tool Operation
I cannot edit table A. I can select records from A and insert into B. And I can select only the records that are in both tables.
But I want to be able to select any records that are in table A but not in Table B.
ie. I want to select records from A where the combination of Product, Tool and Operaton does not appear in Table B, even if all 3 on their own do appear.
This code return all the records from A. I need to filter out the records found in Table B.
SELECT ID, CompressedProduct, oq.Tool, oq.Operation FROM OPENQUERY (Lisa_Link, 'SELECT DISTINCT CompressedProduct, Tool, Operation FROM tblToolStatus ts JOIN tblProduct p ON ts.ProductID = p.ProductID JOIN tblTool t ON ts.ToolID = t.ToolID JOIN tblOperation o ON ts.OperationID = o.OperationID WHERE ts.ToolID=66 ') oq LEFT JOIN Family f on oq.CompressedProduct = f.Product and oq.Tool = f.Tool and oq.Operation = f.Operation
I am new to T-SQL and triggers Any help will be appreciated
I am trying to change this code to insert firstname, surname (taken from employee table on db A) to firstname, surname on customer table of DB B but also create cust_id on customer table and DB B. currently I am getting all rows of customer.cust_id filled with the same data whenever a new data is inserted into (firstname,surmname of employee table)
Create trigger gen_cust_id ON employee for insert AS Update customer SET cust_id =( SELECT Replicate('0',(4-DATALENGTH(CONVERT(varchar(10),i.id)))) + Convert (varchar(10),i.id) + Substring(i.lastname,1,3) + Substring(i.firstname,1,1) from employee C INNER JOIN inserted i on i.id=c.id) from employee C INNER JOIN inserted i on i.id=c.id
How would i write a single sql statement where i can get that counts how many bookIDs are listed for each custoemrID and how many magzaineIDs are listed for each customerID and have it return one table that looks like this:
We have some tables that we have spread across two databases. The segregation isn’t essential, but the entities involved were disparate enough that we thought it made sense. However, our client app regularly & frequently requires information that can only be answered by queries to tables in both databases. It has been suggested that segregating the tables as we have introduces a performance hit. At this stage, it would be relatively easy to re-combine the tables into one DB.
Hello, I am working with a database that among other things uses multipart keys as the unique indexes which are not consistent from say one table where a parent record resides to another table which contains related child records. For example I am working with two tables right now, one that contains content that I'll call Contents and the other which contains Usage information about the contents (number of view, a rating and comments give by a customer) which I'll call ContentsUsage. The system that manages the data for the tables has a versioning system by which, whn a content item is added (first time) a "unique" id (guid) and a version number of 1 is created along with the rest of data items in the Contents table and likewise in the ContentsUsage table (essentially a one to one mapping) on the like named fields in that table. Now, each time a given record in the Contents table is updated a new version, with the same guid is created in the Contents and ContentsUsage table. So one side I have:ContentGUID > AAAAVersion > 1ContentGUID > AAAAVersion > 2And the other table (ContentsUsage)ContentGUID > AAAAVersion > 1ContentGUID > AAAAVersion > 2 While both of these tables have a quasi-unique record (row_id) of type char and stored as a guid neither obviously are the same in the two tables and having reviewed the database columns for these tables I find that the official unique key's for these tables are different (table 1, Contents combines the ContentGUID and Version) as the composite / mutli-key index, while table ContentsUsage uses the RowGUID as it's unique index. Contents RowGUID (unique key)ContentGUIDVersionViewsRatingComments................RowGUID ContentGUID (unique key)Version (unique key)Description..... Bearing this in mind I am unable of course to link directly the two tables by using the just the ContentGUID and have to combine the additional Version to I believe obtain the actual "unique" record in question. The question is in terms of writing queries, what would the most efficient query be? What would be the best way to join the two in a query? And are there any pitfalls with the current design that you can see with the way this database (or specifically these tables are defined)? It's something I inherited, so fire away at will on the critique. Having my druthers I would have designed these tables using a unique key of type int that was autogenerated by the database. Any advice, thoughts or comments would be helpful. Thanks,P.
I would like to 'one table' record to separate 'two or three tables' . I just know use the DTS , try to import and export again and agian. So trouble.
Could you give me some suggestions for me? For example , 'Cursor' write in new table . But I try to SQL Server Books Online which is not suitable for me solving problems. One table separate two or three tables. Can you wirte the detail example for me? Thx a lot.
Hi, We are building an application for online system for people to place ADs for selling various used items like Car, Electronics, Houses, Books etc. If someone selling a car then he can fill out headline, year, make, model, mileage, transmission, condition, color, price, description, contact etc. Similarly if someone selling a digital camera he will fillout headline, memory, zoom, megapixel, maker, model, color, batter, description etc. Option 1: I can have a main table to hold the common attributes of all different types of ADs (headline, images, contact, price, color, condition, description) + 1 table to store string values of all ADs (car: maker, model, square feet (if house), memory, megapixel (camera) etc) + 1 table to store the droplist select values(car: transmission, door, seat etc; house: year_built) pros: single table for all ADs. unique IDs for all ADs, easy to extend as new attributes can be dropped easily. cons: lot of physical reads of 2nd and 3rd table from join. 10 times physical reads compared to option 2 when reading 5000 records. Option 2: have different set of table for each AD type. Car will have its own main table + 1 table to store multiselect list box values. Similarly housing will have its own set of tables pros: 10% less physical read than option 1. cons: hard to add new attributes. We have to modify the main table by adding one column. Query will go to different table based on the category. Do you have any suggestions on which way to go?Thanks
We have a large Datawarehouse and the size is 50TB.. The tables are placed in filegroups based on the schema like fact, dimensions, raw data each sit on seperate filegroups. I am thinking will it make sense to seperate the large facts which are having billions of rows so that they reside on filegroups on their own..
I am trying to tie together tables that show quantities of a product committed to an order and quantities on hand by a location.
My end result should look like the below example.
Item Location QtyOnHandByLocation SumQtyCommitTotal Prod1 NJ 10 10 Prod1 NY 10 0 Prod1 FL 0 0 Prod1 PA 0 0
So I can see I have 10 items in NJ On Hand and Committed to an order. 10 available in NY but not on an order. Then the other two locations have no quantities.
Below is the CTE but it produces inaccurate results. I've tried running it several different ways by playing with the grouping but have no luck thus far.
--create the temp table Create table #SalesLine ( Novarchar (50) not null , LocationCodevarchar (50) not null , QtyCommitint not null ) create table #ItemLedgerEntry
[code]....
I am close to the desired results but can't find a way.