I have came across a situation - When there are no indices on the tables and if we force SQL server to use the "Nested Loop" joins, the query becomes very slow. Since there are no indices then Nested loop join should not be used.
The background for this problem is - Analysis services is sending some query to SQL server while doing the cube processing. SQL server is using Nested loop joins even though there are no indices on any of the tables. Is there any way by which we can force the SQL server/Analysis services not to use Nested loop joins since there are no indices in any of the tables.
i'm running the following code on Ms SQL Server 2000, Query Analyzer to analyze the result of Nested Loop Join.
SET STATISTICS PROFILE ON GO SELECT pdN.ProductID, pdN.ProductName, spN.CompanyName, spN.ContactName FROM dbo.ProductsNew pdN INNER JOIN dbo.SuppliersNew spN ON pdN.SupplierId = spN.SupplierId GO
but the execution plan give me the following result :-
I have a database that contains a PERSONNEL table, a VISIT table, and a STARSHIP table. I am trying to generate a single column list of the personnel that are from Vulcan (PERSONNEL.PLANET) and all starships that have visited Vulcan (VISIT.PLANET). VISIT.SHIP and STARSHIP.REGISTRY columns contain the ships identifiers. How would I accomplish this? I am just beginning sql so please be nice ;)
If your prediction join is to a SQL datasource, you can easily write a SQL query which returns a nested table like:
SELECT Predict([Subcategories],2) as [Subcategories] FROM [SubcategoryAssociations] NATURAL PREDICTION JOIN (SELECT (SELECT 'Road Bikes' AS Subcategory UNION SELECT 'Jerseys' AS Subcategory ) AS Subcategories ) AS t
What about if your datasource is a cube? Is there some special MDX syntax similar to the SQL syntax above? Or do you have to utilize the SHAPE/APPEND syntax as follows?
SELECT t.*, $Cluster as ClusterName FROM [MyModel] PREDICTION JOIN SHAPE { select [Measures].[My Measure] on 0, [My Dimension].[My Attribute].[My Attribute].Members on 1 from MyCube } APPEND ( { select [Measures].[Another Measure] on 0, NON EMPTY [My Dimension].[My Attribute].[My Attribute].Members *[Product].[Product].[Product].Members on 1 from MyCube } RELATE [[My Dimension]].[My Attribute]].[My Attribute]].[MEMBER_CAPTION]]] TO [[My Dimension]].[My Attribute]].[My Attribute]].[MEMBER_CAPTION]]] ) AS [My Nested Table] AS t ON [MyModel].[Product].[Product] = t.[My Nested Table].[[Product]].[Product]].[Product]].[MEMBER_CAPTION]]]
Here is the content of the tbIntersect table: Car100_ID Car200_ID Car300_ID Car400_ID Car500_ID Car600_ID Car700_ID Prod_ID ID 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 19 1 3 1 1 1 1 1 20
I need to return the rows that have null data, ex: second row because Prod_ID is NULL and third row because Car300_ID is NULL. In fact I need the data from the other joint tables that correspond to these ID fields.
i have been trying to determine which is the most efficient, with regards to speed and efficiency, between a view and a common/nested table expression when used in a join.
i have a query which could be represented as index view or a common table expression, which will then be used to join against another table.
the indexed view will use indexes when performing the join. is there a way to make the common table expression faster than an indexed view?
I was writing a query using both left outer join and inner join. And the query was ....
SELECT Â Â Â Â Â Â Â S.companyname AS supplier, S.country,P.productid, P.productname, P.unitprice,C.categoryname FROM Â Â Â Â Â Â Â Production.Suppliers AS S LEFT OUTER JOIN Â Â Â Â Â Â (Production.Products AS P Â Â Â Â Â Â Â Â INNER JOIN Production.Categories AS C
[code]....
However ,the result that i got was correct.But when i did the same query using the left outer join in both the cases
i.e..
SELECT Â Â Â Â Â Â Â S.companyname AS supplier, S.country,P.productid, P.productname, P.unitprice,C.categoryname FROM Â Â Â Â Â Â Â Production.Suppliers AS S LEFT OUTER JOIN (Production.Products AS P LEFT OUTER JOIN Production.Categories AS C ON C.categoryid = P.categoryid) ON S.supplierid = P.supplierid WHERE S.country = N'Japan';
The result i got was same,i.e
supplier   country   productid   productname   unitprice   categorynameSupplier QOVFD   Japan   9   Product AOZBW   97.00   Meat/PoultrySupplier QOVFD   Japan  10   Product YHXGE   31.00   SeafoodSupplier QOVFD   Japan  74   Product BKAZJ   10.00   ProduceSupplier QWUSF   Japan   13   Product POXFU   6.00   SeafoodSupplier QWUSF   Japan   14   Product PWCJB   23.25   ProduceSupplier QWUSF   Japan   15   Product KSZOI   15.50   CondimentsSupplier XYZ   Japan   NULL   NULL   NULL   NULLSupplier XYZ   Japan   NULL   NULL   NULL   NULL
and this time also i got the same result.My question is that is there any specific reason to use inner join when join the third table and not the left outer join.
OLEDB source 1 SELECT ... ,[MANUAL DCD ID] <-- this column set to sort order = 1 ... FROM [dbo].[XLSDCI] ORDER BY [MANUAL DCD ID] ASC
OLEDB source 2 SELECT ... ,[Bo Tkt Num] <-- this column set to sort order = 1 ... FROM ....[dbo].[FFFenics] ORDER BY [Bo Tkt Num] ASC
These two tasks are followed immediately by a MERGE JOIN
All columns in source1 are ticked, all column in source2 are ticked, join key is shown above. join type is left outer join (source 1 -> source 2)
result of source1 (..dcd column) ... 4-400-8000119 4-400-8000120 4-400-8000121 4-400-8000122 <--row not joining 4-400-8000123 4-400-8000124 ...
result of source2 (..tkt num column) ... 4-400-1000118 4-400-1000119 4-400-1000120 4-400-1000121 4-400-1000122 <--row not joining 4-400-1000123 4-400-1000124 4-400-1000125 ...
All other rows are joining as expected. Why is it failing for this one row?
I'm having trouble with a multi-table JOIN statement with more than one JOIN statement.
For each order, I need to return the following: CarsID, CarModelName, MakeID, OrderDate, ProductName, Total ordered the Car Category.
The carid (primary key) and carmodelname belong to the Cars table. The makeid and orderdate belong to the OrderDetails table. The productname and carcategory belong to the Product table.
The number of rows returned should be the same as the number of rows in OrderDetails.
Why would I use a left join instead of a inner join when the columns entered within the SELECT command determine what is displayed from the query results?
I have a merge join (full outer join) task in a data flow. The left input comes from a flat file source and then a script transformation which does some custom grouping. The right input comes from an oledb source. The script transformation output is asynchronous (SynchronousInputID=0). The left input has many more rows (200,000+) than the right input (2,500). I run it from VS 2005 by right-click/execute on the data flow task. The merge join remains yellow and the task never finishes. I do see a row count above the flat file destination that reaches a certain number and seems to get stuck there. When I test with a smaller file on the left it works OK. Any suggestions?
A piece of software I wrote starting timing out on a query that left outer joins a table to a view. Both the table and view have approximately the same number of rows (about 170000).
The table has 2 very similar columns, one is a varchar(1) and another is varchar(100). Neither are included in any index and beyond the size difference, the columns have the same properties. One of the employees here uses the varchar(1) column (called miscsearch) to tag large sets of rows to perform some action on. In this case, he had set 9000 rows miscsearch value to "g". The query then should join the table and view for all rows where miscsearch is set to g in the table. This query takes at least 20 minutes to run (I stopped it at this point).
If I remove the "where" clause and join all rows in the two tables, the query completes in about 20 seconds. If set the varchar(100) column (called descrip) to "g" for the same rows set via miscsearch, the query completes in about 20 seconds.
If I force the join type to a hash join, the query completes using miscsearch in about 30 seconds.
So, this works:
SELECT di.File_No, prevPlacements, balance,'NOT PLACED' as status FROM Info di LEFT OUTER HASH JOIN View_PP pp ON di.ram_file_no = pp.file_no WHERE miscsearch = 'g' ORDER BY balance DESC
and this works:
SELECT di.File_No, prevPlacements, balance,'NOT PLACED' as status FROM Info di LEFT OUTER JOIN View_PP pp ON di.ram_file_no = pp.file_no WHERE descrip = 'g' ORDER BY balance DESC
But this does't:
SELECT di.File_No, prevPlacements, balance,'NOT PLACED' as status FROM Info di LEFT OUTER JOIN View_PP pp ON di.ram_file_no = pp.file_no WHERE miscsearch = 'g' ORDER BY balance DESC
What should I be looking for here to understand why this is happening?
We are trying to migrate from sql 2005 to 2012. I am changing one of the implicit join to explicit join. As soon as I change the join, the number of rows returned are fewer than before.
INSERT #RIF_TEMP1 (rf1_row_no,rf1_rif, rf1_key_id_no, rf1_last_date, rf1_start_date) SELECT currow.rf0_row_no, currow.rf0_rif, currow.rf0_key_id_no, prevrow.rf0_start_date, currow.rf0_start_date FROM #RIF_TEMP0 currow LEFT JOIN #RIF_TEMP0 prevrow ON (currow.rf0_row_no = prevrow.rf0_row_no + 1)
[Code] ....
the count returned from both the queries is different.
I am not sure what am I doing wrong. The count of #RIF_TEMP0 is always 32, it never changes, but the variable @countTemp is different for both the queries.
Why does this right join return the same results as using a left (or even a full join)?There are 470 records in Account, and there are 1611 records in Contact. But any join returns 793 records.
select Contact.firstname, Contact.lastname, Account.[Account Name] from Contact right join Account on Contact.[Account Name] = Account.[Account Name] where Contact.[Account Name] = Account.[Account Name]
Is there a way to do a super-table join ie two table join with no matching criteria? I am pulling in a sheet from XL and joining to a table in SQLServer. The join should read something like €œfor every row in the sheet I need that row and a code from a table. 100 rows in the sheet merged with 10 codes from the table = 1000 result rows.
This is the simple sql (no join on the tables):
select 1.code, 2.rowdetail from tblcodes 1, tblelements 2
I read that merge joins work a lot faster than hash joins. How would you convert a hash join into a merge join? (Referring to output on Execution Plan diagrams.) THANKS
There is a table called "tblvZipCodes" that contain a zipcode of all cities, area code that are located in that zip code.
The problem I have with the inner join is that there are more than 1 cities in one zipcode code. Is there a way to just return only the 1st row and not return the rest of the rows from the tblvZipCodes in the INNER JOIN query?
Thanks..
Code:
SELECT TOP 100 PERCENT dbo.tblPurchaseRaw.Year, dbo.tblPurchaseRaw.Make, dbo.tblPurchaseRaw.Model, dbo.tblPurchaseRaw.ModelType, dbo.tblPurchaseRaw.Color, dbo.tblvZipCodes.ZIPCode, dbo.tblvZipCodes.City, dbo.tblvZipCodes.County, dbo.tblvZipCodes.State, dbo.tblvZipCodes.AreaCode, dbo.tblvZipCodes.Region, dbo.tblaAccounts.Name, dbo.tblaAccounts.PhoneOne, dbo.tblaAccounts.AccountID, dbo.tblPurchaseRaw.AcceptedID, dbo.tblPurchaseRaw.Series, dbo.tblPurchaseRaw.BodyStyle, dbo.tblaAccounts.WebSite, dbo.tblaAccounts.SalesEmail, dbo.tblPurchaseRaw.EmailTo, dbo.tblPurchaseRaw.PhotoURL, dbo.tblPurchaseRaw.Mileage, dbo.tblPurchaseRaw.RawID, dbo.tblvRegions.Name AS RegionName, dbo.tblPurchaseRaw.VIN, dbo.tblPurchaseRaw.Style, dbo.tblPurchaseRaw.StockDate FROM dbo.tblPurchaseRaw INNER JOIN dbo.tblaAccounts ON dbo.tblPurchaseRaw.AccountID = dbo.tblaAccounts.AccountID INNER JOIN dbo.tblvZipCodes ON dbo.tblPurchaseRaw.ZipCode = dbo.tblvZipCodes.ZIPCode INNER JOIN dbo.tblvRegions ON dbo.tblvZipCodes.Region = dbo.tblvRegions.RegionID WHERE (CONVERT(char, dbo.tblPurchaseRaw.StockDate, 101) <> '01/01/1900') AND (dbo.tblPurchaseRaw.SoldRawID IS NULL) AND (dbo.tblPurchaseRaw.AcceptedID <> - 10) AND (dbo.tblPurchaseRaw.AcceptedID <> - 1) ORDER BY dbo.tblvZipCodes.ZIPCode
hello, i am running mysql server 5 and i have sql syntax like this: select sales.customerid as cid, name, count(saleid) from sales inner join customers on customers.customerid=sales.customerid group by sales.customerid order by sales.customerid; it works fine and speedy. but when i change inner join to right join, in order to get all customers even there is no sale, my server locks up. note: there is about 10000 customers and 15000 sales. what can be the problem? thanks,
I have 2 tables, I will add sample data to them to help me explain...Table1(Fields: A, B)=====1,One2,Two3,ThreeTable2(Fields: A,B)=====2,deux9,neufI want to create a query that will only return data so long as the key(Field A) is on both tables, if not, return nothing. How can I dothis? I am thnking about using a 'JOIN' but not sure how to implementit...i.e: 2 would return data- but 9 would not...any help would be appreciated.
Hi,Just curious. Would you use ANSI style table joining or the 'oldfashion' table joining; especially if performance is the main concern?What I meant is illustrated below:ANSI Styleselect * from a join b on a.id = b.idOld Styleselect * from a, b where a.id = b.idI noticed that in some SQL, the ANSI is much faster but sometimes, theold style looks much better.It's ridiculous to try out both styles to see which is better wheneverwe want to write an SQL statement.Please comment.Thanks in advance.
Hello, everyoneI have one question about the standard join and inner join, which oneis faster and more reliable? Can you recommend me to use? Please,explain me...ThanksChamnap
Where function_code is the function of the area e.g. Auditorium, Classrom, etc, etc. And not all components are available for all functions e.g. Carpeting is available for Classrooms but not Power Plants or Warehouses.
I need to self join the above table to itself on system_code and system_component_code and find out which rows are missing from each side.
A query that I've been banging away at with no success is:
SELECT c1.*, c2.* FROM [dbo].[component_multiplier_table] c1 FULL OUTER JOIN [dbo].[component_multiplier_table] c2 ON (c1.system_component_code = c2.system_component_code) AND (c1.[system_code] = c2.[system_code]) WHERE c1.function_code = '2120' AND c2.[function_code] = '2750' AND (c1.[system_code] IS NULL OR c2.system_code IS NULL);
I added the is null conditions, no joy. I've tried every flavor of outer join w/o success.
Could any T-SQL gurus out there help me figure out how to do this in a set before I start coding
Can you give a whole SQL statement an alias so you can use it later?
Eg.
SELECT * FROM Employees WHERE age < 19 -- Could I call the above statement something like 'statement1' to use below as shown
SELECT * FROM Employees WHERE age < 25 AND NOT IN (statement1)
Soin effect I get a nested statement. The reason I am asking about aliases is because this would need to be repeated for, E.g. age < 30 Then age < 35 and so on and so forth.
So basically, I just want to alias a qhole SQL statement
Hi all,I have a query that looks like so:SELECT GLDCT AS [Doc Type], GLDOC AS DocNumber, GLALID ASPerson_NameFROM F0911WHERE (GLAID = '00181913')However by stipulating that GLAID = GLAID I cannot get the person_nameas not all the GLALID fields are filled in. from my reading of thehelpdesk I have a felling that a nested query might be the way to goor a self-join but beyond this I am lost!?Many thanks for any pointers in advance.Sam
I am trying to do some nested IF ELSE conditions. I get an error saying 'Error near work Begin'. Below is teh query and the variables comes in thru cursor.
Can somebody advise me on this and also let me know the best practices and alternative to this if any.
IF (@CCTable = 'Claiminassoc') BEGIN IF ( @ClaimCenterField = 'ClaimID' AND @VALUE ='Claim') BEGIN UPDATE dbo.Table SET ColName = 'Y' WHERE ID = @ID AND CCTable = 'Claiminassoc' AND CCField = 'ClaimID' AND DWField = 'CatastropheDesignationFlag' END END
ELSE IF (@CCTable = 'EmploymentData') BEGIN IF (@VALUE ='TRUE') BEGIN UPDATE dbo.Table SET ColName = 'Y' WHERE ID = @ID AND CCTable = 'Claim' AND CCField = 'WagePaymentCont' END
ELSE IF (@VALUE ='FALSE') BEGIN UPDATE dbo.Table SET ColName = 'N' WHERE ID = @ID AND CCTable = 'Claim' AND CCField = 'WagePaymentCont' END END
I have a challenge, which seems like it is probably trivial, but SQL chops are not up to the task, and I am hoping one of you hot-shot DBAs can throw me a bone!
I have a query that populates an OLAP Time dimension table (basically one row per day of the year over several years). What I want to do is expand that table to include each hour of each day over the time span.
The CTE I am using for the day population is:
Code Snippet WITH dates(date) -- A recursive CTE that produce all dates between 2006 and 2057-12-31 AS ( SELECT cast('2006' AS dateTime) date -- SQL Server supports the ISO 8601 format so this is an unambigious shortcut for 1999-01-01 UNION ALL -- http://msdn2.microsoft.com/en-us/library/ms190977.aspx SELECT (date + 1) AS date FROM dates WHERE date < cast('2058' AS dateTime) -1 )
What I wanted to do was something like:
Code Snippet WITH hours(hr) AS ( SELECT (DATEPART(hh,date) hr UNION ALL SELECT (hr + 1) AS hr FROM hours WHERE hr < 24 )
inserted just after
Code Snippet FROM dates
in the initial CTE. But from what I have read, it seems as though nested CTEs are not allowed.
