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 two dynamic pivot tables that I need to join. The problem I'm running into is that at execution, one is ~7500 characters and the other is ~7000 characters.
I can't set them both up as CTEs and query, the statement gets truncated.
I can't use a temp table because those get dropped when the query finishes.
I can't use a real table because the insert statement gets truncated.
Do I have any other good options, or am I in Spacklesville?
I have a table of "applicants" with unique applicant id and another table "reviews" with reviews which has unique id and Emplid and contains general program name like Math and then may contain 3 addition rows for specific program like Calculus, algebra, geometry etc.
There may or may not be a record for each applicant id in table reviews or there can be 1 or more than one record in reviews based on level of review( General or Specific).
All the general reviews has “Math” as Program_code but if there are more reviews, they can have Program_code like “Cal” , “Abr”, “Geo”
I want to join the tables so I can get all the records from both the tables where Program_code in reviews table is “Math” only.
That is I want to join the table and get all the records from reviews table where the program_code is “Math” only How can I do that?
I have 3 tables , Customer , Sales Cost Charge and Sales Price , i have join the customer table to the sales price table with a left outer join into a new table.
i now need to join the data in the new table to sales cost charge. However please note that there is data that is in the sales price table that is not in the sales cost charge table and there is data in the sales cost charge table that is not in the sales price table ,but i need to get all the data. e.g. if on our application it shows 15 records , the sales price table will maybe have 7 records and the sales cost charge table will have 8 which makes it 15 records
I am struggling to match the records , i have also tried a left outer join to the sales cost charge table however i only get the 7 records which is in the sales price table. see code below
I am trying to pull in columns from multiple tables but am getting an error when I run the code:
Msg 4104, Level 16, State 1, Line 1
The multi-part identifier "a.BOC" could not be bound.
I am guessing that my syntax is completely off.
SELECT b.[PBCat] ,c.[VISN] --- I am trying to pull in the Column [VISN] from the Table [DIMSTA]. Current Status: --Failure ,a.[Station] ,a.[Facility] ,a.[CC] ,a.[Office]
I am having problems joining these two tables and returning the correct values. The issue is that i have a work order table and a revenue table. I only want to return the sum of the revenue when the revenue comes after the work order date. That is simple enough, but it gets tricky when there are multiple work orders for the same ID. for those instances, we only want the sum of the revenue if it shows up post the work order date and if it is before any other work order date. So ID 312187014 should only have the 9-5 revenue from below, not the 7/7 or 8/6 revenue because the 8/7 work order date is after those revenue dates and thus will not have any revenue tied to it because there is a 9/3 work order that ties to the 9/5 revenue. Additionally the 412100368 ID has a 7/7 work order that ties to the 7/26 revenue, and the 8/7 work order will tie to the 8/23 and 9/20 revenue
--===== Create the test table with
CREATE TABLE #workorder ( Id varchar(20), wo varchar(10), wodate datetime, amount float ) GO CREATE TABLE #revenue
I am using the following select statement to get the row count from SQL linked server table.
SELECT Count(*) FROM OPENQUERY (CMSPROD, 'Select * From MHDLIB.MHSERV0P')
MHDLIB is the library name in IBM DB2 database. The above query gives me only the row count of table MHSERV0P. However, I need to get the names, rowcounts, and sizes of all tables that exist in MHDLIB librray. Is it possible at all?
These two T-SQL statements return the same results.
If Microsoft deemed it necessary to add the EXCEPT command, then what are its advantages over an INNER JOIN
-- LIST ONLY PRODUCTS THAT ARE ON A WORK ORDER
USE AdventureWorks2008R2; GO SELECT ProductID FROM Production.Product INTERSECT SELECT ProductID FROM Production.WorkOrder ;
USE AdventureWorks2008R2; GO SELECT DISTINCT Production.WorkOrder.ProductID FROM Production.Product INNER JOIN Production.WorkOrder ON Production.WorkOrder.ProductID = Production.Product.ProductID
What is wrong with my syntax?I want to return the value of the AchiveYear Value based on records in theCall that match.
SELECT DATEPART(yyyy,Call_Date) AS ArchiverYear FROM tblCall INNER JOIN PrismDataArchive.dbo.ArchiveDriver AS Arch ON tblCall.DATEPART(yyyy,Call_Date) = Arch.ArchiveYear
I have been reviewing the video series at this site and have found them very helpful but have a need... I have two data tables one of which is quite large and another table that is small. They have at least one exact field in common, lets call it room number. How do I recognize both tables (in different databases) and join them so I can search a unique item in one table and select its associated data in the other table? I don't image there is a video on this topic for this VB.NET student?
We have a query that joins column A int which is an int onto column B with contains only int's but was created as a varchar and can't be changed to an int at the moment.
Casting column a as a varchar in the ON of the join to left join seems to void the index altogether and the query just runs for every.
We are talking a few hundred million rows of data in each table.
Temp solution is select into a #Hash table as correct data type and index then use the #Hash table in the join.
I came across this structure today and haven't seen it before:
SELECT blablabla FROM T1 FULL OUTER JOIN T2 ON T1.Col1 = T2.Col1 AND T1.Col2 = T2.Col2 ON T3.Col1 = T1.Col1 AND T3.Col2 = T1.Col2 ON T4.Col1 = T1.Col1 AND T4.Col2 = T1.Col2
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've following query which display the result as required, but I need to get the missing Primary Key Values which are not available in the result:
SELECTA.SignedByUserID, B.FullName, COUNT(A.OutletID) AS TotalSignups, DATENAME(Month, A.SignupDate) AS Month FROMdbo.tblMer_Outlet AS A LEFT OUTER JOIN dbo.tblGen_Users AS B ON A.SignedByUserID = B.UserID WHERE(A.SignupDate >= '2014-04-01 00:00:00' AND A.SignupDate <= '2014-04-30 23:59:59') GROUP BY A.SignedByUserID, B.FullName, DATENAME(Month, A.SignupDate)
This Query returns the following result:
SignedByUserID FullName TotalSignups Month -------------------------------------------------------- 9 Babu Raj 16 April 11 Faheem 19 April 39 Fasil Abbas 16 April 29 Hafiz Suleman 10 April
[code]....
which does not have a signup for the month of April, but I need it to be available for this or any upcoming month. I need this orr all users, which does not exists in the context needs to be displayed in the result.
i have below queries each select is fetching records at one level. Is there a way i can write single query to get to nth level (recursion) instead joining same table 10 times (i don't know in some cases there is may be next level) I stopped at 10th level now. In below example i gave only two levels.
SELECT Distinct a.Col1 AS EmpID, a.Col1 AS EmpID, a.Col2 AS Emp_guid, a.Col2 AS Emp_guid, case
I am new in SQL and i need do a query where I need sum values from 2 tables, when i do it the Sum values are not correct. this is my query
SELECT D.Line AS Line, D.ProductionLine AS ProductionLine, D.Shift AS Shift, SUM(CAST(D.DownTime AS INT)) AS DownTime, R.Category, SUM(Cast(R.Downtime AS INT)) AS AssignedDowntime, CONVERT(VARCHAR(10), D.DatePacked,101) AS DatePacked FROM Production.DownTimeReason R left JOIN Production.DownTimeHistory D
What I would like to end up with is a pivot table of each account, the trigger code and service codes attached to that account, and the rate for each.
I have been able to dynamically get the pivot, but I'm not joining correctly, as its returning every dynamic column, not just the columns of a trigger code. The code below will return the account and trigger code, but also every service code, regardless of which trigger code they belong to, and just show null values.
What I would like to get is just the service codes and the appropriate trigger code for each account.
SELECT @cols = STUFF((SELECT DISTINCT ',' + ServiceCode FROM TriggerTable FOR XML PATH(''), TYPE ).value('(./text())[1]', 'VARCHAR(MAX)') ,1,2,'')
I'm having some performance issues with a TSQL query. It's a complex statement but the main issue is the correlated query.
How can I convert this
SELECT TOP 5 (SELECT SUM(lt2.col3) FROM dbo.MyTable2 lt2 WHERElt2.col1 = lt.col1 AND lt2.col2 = lt.col2 AND lt2.id = lt.id ) AS Result FROM dbo.MyTable1 t1 ... to an inner join or a sql2012 window function?
By the way, I just added the TOP 5 myself while testing. It's not in the main query.
SELECT m.lID FROM Message m inner join Message_Cc mCC on m.lID=mCC.lMessage and mCC.lOfficeRecipient = 200321 INNER JOIN UserRole d on mCC.szRecipient=d.szRoleName inner Join Map_UserAtOfficeToRole a2 on a2.lUserRole = d.lid AND d.nRecordStatus = 1
[Code] ....
If I run this without the LEFT OUTER JOIN and the is null statement I get 648 rows. But If I include it I get 0 rows. I can't understand why I get 0 rows with the outer join.
I have two queries from two different tables ex ABC and BCD. For table ABC, according to my query, I got 11 records ; for table BCD I only got 9 records.
Bottom line: I would like to see only 11 records from Table ABC including certain data from table BCD after I joined this two tables.
However, no matter what I did I always got 99 records when I joined.
I have a stored procedure that I have written that manipulates date fields in order to produce certain reports. I would like to add a column in the dataset that will be a join from another table (the table name is Periods).
USE [International_Forecast_New] GO /****** Object: StoredProcedure [dbo].[GetOpenResult] Script Date: 01/07/2014 11:41:35 ******/ SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO
[Code] ....
What I need is to add the period, quarter and year to the dataset based on the "Store_Open" value.
For example Period 2 looks like this Period Quarter Year Period Start Period End 2 1 20142014-01-27 2014-02-23
So if the store_open value is 02/05/2014, it would populate Period 2, Quarter 1, Year 2014.
I want to join 2 tables, table a and table b where b is a lookup table by left outer join. my question is how can i generate a flag that show whether match or not match the join condition ?
**The lookup table b for column id and country are always not null values, and both of them are the keys to join table a. This is because same id and country can have multiples rows in table a due to update date and posting date fields.
example table a id country area 1 China Asia 2 Thailand Asia 3 Jamaica SouthAmerica 4 Japan Asia
example table b id country area 1 China Asia 2 Thailand SouthEastAsia 3 Jamaica SouthAmerica 5 USA America
Expected output id country area Match 1 China Asia Y 2 Thailand SouthEastAsia Y 3 Jamaica SouthAmerica Y 4 Japan Asia N
Looking to improve performance of the following code.
It basically generates future days for each dog. So there is a dog table and a day table with every day.
These 2 table cross join and then fill in missing rows. As time moves i will fill in further future dates but will need the initial insert to be a reasonable query.
All columns are covered by index's but the queries at the end take quite a long time. I would hope for index scan to just point out the missing rows especially on the final query.
How to make the last query as fast as possible.
IF OBJECT_ID('dbo.[AllDates]', 'U') IS NOT NULL DROP TABLE dbo.[AllDates] CREATE TABLE dbo.[AllDates] ( [Date] date not null PRIMARY KEY ) ;WITH Dates AS
