on my site there are different profiles: a city profile, a restaurant profile and a user profile.
in my DB:
City profiles are stored in tbCities
cityID int PK
shortname nvarchar(50)
forumID int FK
(...)
Restaurant profiles are stored in tbRests
restID int PK
shortname nvarchar(50)
forumID int FK
(...)
User profiles are stored in tbUsers
userID int PK
shortname nvarchar(50)
forumID int FK
(...)
as you can see a single ID value (for CityID,restID or userid) might occur in multiple tables (e.g. ID 12 may exist in tbRests and in tbUsers)
Each of these profile owners can start a forum on their profile.
forumID in each of the above tables is a FK to the PK in tbForums:
forumID int
forumname nvarchar(50)
(...)
Now imagine the following:
a site visitor searches ALL forums...say he finds the following forums:
ForumID Forumname
1 you opinion on politics
2 is there life in space?
3 who should be the next president of the USA?
a user may want to click on the forum name to go to the profile the forum belongs to.
And then there's a problem, because I dont know in which table I should look for the forum ID...
OR I would have to scan all tables (tbCities,tbRests and tbUsers) for that specific forumid,which is time-consuming and I dont want that!
so if a user would click on forumID 2 (is there life in space?)
I want to do a conditional inner join for the tablecontainingforumID (which may be tbCities,tbRests or tbUsers)
select tablecontainingforumID.shortname FROM tablecontainingforumID t
INNER JOIN tbForums f ON t.ForumID=f.ForumID
where f.ForumID=2
I hope my problem is clear..any suggestions are welcome (im even willing to change my DB design if that would increase effectivity)
tblWine tblSpecialOfferWine tblSpecialOffer ID Name ID WineID SpecialOfferID ID Name IsLive ===================== ============================ ========================== 1 Mouton Rothschild 1 1 1 1 February Offer 0 2 Lafite Rothschild 2 1 2 2 March Offer 1 3 Chateau Teyssier 3 2 1
... and the current query I am using is the following along with it's result set ...
SELECT tblWine.ID AS WineID, tblWine.Name AS WineName, tblSpecialOffer.ID AS SpecialOfferID, tblSpecialOffer.Name AS SpecialOfferName
FROM tblWine LEFT OUTER JOIN tblSpecialOfferWine ON tblSpecialOfferWine.WineID = tblWine.ID LEFT OUTER JOIN tblSpecialOffer ON tblSpecialOfferWine.SpecialOfferID = tblSpecialOffer.ID
Results WineID WineName SpecialOfferID SpecialOfferName ================================================== ========= 1 Mouton Rothschild 1 February Offer 1 Mouton Rothschild 2 March Offer 2 Lafite Rothschild 1 February Offer 3 Chateau Teyssier NULL NULL
... but the result set I want is All wines and their associated specials offers but only show details of the offer if the offer is live like so ...
I am trying to join Table A to Table B using the below log . Table A should have one unique mathincg record from Table B
option 1. Using registration_key and discharge_dt , looking for exact matching date( end_dt) in table B , if there is more than one record that matches then select lowest ID
option 2.if there is no record that matches option1 then, serch for the previous record with end_dt in table A less than end_dt table B. if there is more than one record then select lowest ID
option 3. if there is no record option 2 then search the next record that matches .. discharge_dt greater than end_Dt , if there is more than one record then select lowest Id
so basically, I am looking for an exact matching date in the same registration_key .. if the exact dt doesn't exist looking for the previous record and get the most closer dt and if there is no prvious record than look for next record,.
so the output should look like
output Registration_key ID end_dt discharge_dt value
Hi,I am trying to change an SP from dynamic SQL to proper SQL but I can'tfigure a way to conditionally add extra parts to the statement. Howcan I do the equivalent of the following?DECLARE @arg NVARCHAR(10)SELECT a.i, a.xFROM aTable aIF LEN(@arg)BEGININNER JOIN bTable b ON a.[id] = b.[id]ENDConditionally adding the INNER JOIN is very easy when building up a SQLstring but I can't see how to do it in pure SQL?Thanks.
I have these two tables => Table a Name CEN VID 1. AA 01 11 2. BB 01 11 3. CC 02 12
Table b CEN VID CName 01 11 ZZZZ NULL 12 YYY 02 PR XXX
I want to join either on CEN or VID.
1. Join with CEN but If CEN is NULL in table b than the inner join will be VID (automatically in single query) 2. Join with VID but if VID in table b = 'PR' than the inner join will switch to CEN (automatically)
I want to filter some search results using an inner join.The criteria are passed as a parameter.If the parameter has value, I want to inner join with it. If there is a NULL value, I just want to ignore the inner join. I don't want to:1) Build a string and do an exec() - too slow and hard to maintain2) use a (@parm IS NULL) OR ('inner join') AGAIN, too slow Suggestions appreciated
I want to write a query that joins data in a different table based on a column value. The table is for a "Playlist" and holds play list items. The items can be video, audio, images, etc. The playlist table looks like this:
Table_Playlist ----------------- ID (int) MediaType (char) MediaId (int)
Table_Audio ----------------- MediaId (int)
Table_Video -------------- MediaId (int)
If the Table_Playlist.[MediaType] column value = "Audio" then I want to join to the Table_Audio table. If the value = "Video" then I need the video table.
I am trying to join Table A to Table B using the below log . Table A should have one unique mathincg record from Table B
option 1. Using registration_key and discharge_dt , looking for exact matching date( end_dt) in table B , if there is more than one record that matches then select lowest ID
option 2.if there is no record that matches option1 then, serch for the previous record with end_dt in table A less than end_dt table B. if there is more than one record then select lowest ID
option 3. if there is no record option 2 then search the next record that matches .. discharge_dt greater than end_Dt , if there is more than one record then select lowest Id
so basically, I am looking for an exact matching date in the same registration_key .. if the exact dt doesn't exist looking for the previous record and get the most closer dt and if there is no prvious record than look for next record,.
so the output should look like
Table B Registration_key ID end_dt discharge_dt value
I Have Table Called 'Sales' and 'Voucher',I Need To Show Each Customer ""Dueamount"" Details Based Upon Customer Paid in 'Voucher' Table But One thing I have Not Maintained Transaction History For Customer in 'Sales' Table Means I Have Column named "CreditAmount" in 'Sales' and Column Named "VoucherAmount" in 'Voucher' ,For every transaction I am updating Column named "CreditAmount" in 'Sales', So finally 'Dueamount' Must be calculated according to "VoucherAmount" of customer in 'Voucher' Table....
My Query: SELECT CONVERT(varchar,BillDate,103) as BillDate,isnull(NetAmount,0) as BillAmount, case when VoucherAmount != 0 then sum(VoucherAmount)else 0 end as'AmountReceived',case when CreditAmount !=0 then CreditAmount else 0 end as 'DueAmount' from Voucher INNER join Sales on CustomerId=CustomerID and BillMasterID=BillMasterID WHERE CONVERT(varchar,BillDate,103)='03/03/2014' AND CustomerId=101
I need to add a join in my select query depending upon a variable @LoggedUser. the Join is to be there if @loggedUser is 1 else i do not need it. Currently I am using two different queries one with join and one without it under If (@LoggedUser check).
the join is like - JOIN (SELECT CAST(CONVERT(VARCHAR(8),Analyst_Effective_date , 1) AS DATETIME) Analyst_Effective_date FROM Users us (NOLOCK) JOIN Primary_Analysts (NOLOCK) ON User_Count_Id = Analyst_Id_fk WHERE User_Count_Id in ((SELECT VALUE FROM dbo.fParseString(@Analyst, ',')) )) Ana ON dep.Departure_Code = Ana.Primary_Analyst_Departure_Code_fk )
Any way that the join can be added conditionally in the query so i do not have to write the whole code again for one join.
I have two tables tabA (cola1, cola2, cola3) and tabB(colb1, colb2, colb3, colb4) which I need to join on all 3 columns of table A.
Of the 3 columns in tabA, few can be NULL, in that case I want to check the joining condition for the rest of the columns, so its conditional joining. Let me rephrase what I am trying to acheive - I need to check if the columns in joining condition is NULL in my 1st table (tabA), If so I need to check the joining condition for the rest of the two columns, if 2nd column is again NULL, I need to check the joining condition on the third column.
What I am trying to do is as below. Its working, but is very slow when one of the tables is huge. Can I optimize it or rewrite in a better way ?
--- First Create two tables Create table tabA (cola1 nvarchar(100), cola2 nvarchar(100), cola3 nvarchar(100)) Insert into tabA values (NULL,'A1','A2') Select * from tabA create table tabB
I have a merge join that does a full outer join. I then have a conditional split that will breakout by unchanged, insert and update. The update is what I am having a problem with. The conditional split for the update is a follows:
!ISNULL(HISTORICAL) && !ISNULL(TRANSFORM)
Now I believe the problem is related to spaces in the key field let me explain.
The join field is defined as [char](14) COLLATE SQL_Latin1_General_CP1_CI_AS NULL,
There was an original mismatch between the two tables of VARCHAR(14) & Char(14) but now there both Char(14).
What's interesting is that the few records with Alpha characters correctly does the update but the records with starting numeric data all go down the insert path.
The data of the join columns look like
'308811151 ' - 5 Spaces This Data incorrectly goes to insert path
'TSTRWR02 ' 6 Space This Data correctly goes to update
The data is grouped and sorted by the Key field and the historical and transform column contain a 1 for all records. while the Doc_nbr which is the key
I tested the join in SQL server and it works with and without the spaces.
From SSIS I also tried RTRIM in the SQL command of the source in addition to substring the first 9 with the right trim and I always received the same results.
I am guessing there is something going on with the not isnull in the conditional split but I can't figure it out if I am missing something or if this is a BUG.
Three paths of data after the merge join and the conditional split
I am writing a stored procedure that takes in a customer number, a current (most recent) sales order quote, a prior (to most current) sales order quote, a current item 1, and a prior item 1, all of these parameters are required.Then I have current item 2, prior item 2, current item 3, prior item 3, which are optional.
I added an IF to check for the value of current item 2, prior item 2, current item 3, prior item 3, if there are values, then variable tables are created and filled with data, then are retrieved. As it is, my stored procedure returns 3 sets of data when current item 1, prior item 1, current item 2, prior item 2, current item 3, prior item 3 are passed to it, and only one if 2, and 3 are omitted.I would like to learn how can I return this as a one data set, either using a full outer join, or a union all?I am including a copy of my stored procedure as it is.
Forgive the noob question, but i'm still learning SQL everyday and was wondering which of the following is faster? I'm just gonna post parts of the SELECT statement that i've made changes to:
INNER JOIN Facilities f ON e.Facility = f.FacilityID AND f.Name = @FacilityName
OR
WHERE f.Name = @FacilityName
My question is whether or not the query runs faster if i put the condition within the JOIN line as opposed to putting in the WHERE line? Both ways seems to return the same results but the time difference between methods is staggering? Putting the condition within the JOIN line makes the query run about 3 times faster?
Again, forgive my lack of understanding, but could someone agree or disagree and give me the cliff-notes version of why or why not?
Is there a way in order to execute a subscribed report based on a certain criteria?
For example, let's say send a report to users when data exist on the report else if no data is returned by the query executed by the report then it will not send the report to users.
My current situation here is that users tend to say that this should not happen, since no pertinent information is contained in the report, why would they receive email with blank data in it.
I have the following code in the color property of a textbox. However, when I run my report all of the values in this column display in green regardless of their value.
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