Very simplified, I have two tables Source and Target.
declare #Source table (SourceID int identity(1,2), SourceName varchar(50))
declare #Target table (TargetID int identity(2,2), TargetName varchar(50))
insert into #Source values ('Row 1'), ('Row 2')
I would like to move all rows from #Source to #Target and know the TargetID for each SourceID because there are also the tables SourceChild and TargetChild that needs to be copied as well and I need to add the new TargetID into TargetChild.TargetID FK column.
There are a couple of solutions to this.
Use a while loop or cursors to insert one row (RBAR) to Target at a time and use scope_identity() to fill the FK of TargetChild.
Add a temp column to #Target and insert SourceID. You can then join that column to fetch the TargetID for the FK in TargetChild.
SET IDENTITY_INSERT OFF for #Target and handle assigning new values yourself. You get a range that you then use in TargetChild.TargetID.
I'm not all that fond of any of them. The one I used so far is cursors.
What I would really like to do is to use the output clause of the insert statement.
insert into #Target(TargetName)
output inserted.TargetID, S.SourceID
select SourceName
from #Source as S
But it is not possible
The multi-part identifier "S.SourceID" could not be bound.
But it is possible with a merge.
merge #Target as T
using #Source as S
on 0=1
when not matched then
insert (TargetName) values (SourceName)
output inserted.TargetID, S.SourceID;
Result
TargetID SourceID
----------- -----------
2 1
4 3
I want to know if you have used this? If you have any thoughts about the solution or see any problems with it? It works fine in simple scenarios but perhaps something ugly could happen when the query plan get really complicated due to a complicated source query. Worst scenario would be that the TargetID/SourceID pairs actually isn't a match.
MSDN has this to say about the from_table_name of the output clause.
Is a column prefix that specifies a table included in the FROM clause of a DELETE, UPDATE, or MERGE statement that is used to specify the rows to update or delete.
For some reason they don't say "rows to insert, update or delete" only "rows to update or delete".
Any thoughts are welcome and totally different solutions to the original problem is much appreciated.
In my opinion this is a great use of MERGE and output. I've used in several scenarios and haven't experienced any oddities to date.
For example, here is test setup that clones a Folder and all Files (identity) within it into a newly created Folder (guid).
DECLARE #FolderIndex TABLE (FolderId UNIQUEIDENTIFIER PRIMARY KEY, FolderName varchar(25));
INSERT INTO #FolderIndex
(FolderId, FolderName)
VALUES(newid(), 'OriginalFolder');
DECLARE #FileIndex TABLE (FileId int identity(1,1) PRIMARY KEY, FileName varchar(10));
INSERT INTO #FileIndex
(FileName)
VALUES('test.txt');
DECLARE #FileFolder TABLE (FolderId UNIQUEIDENTIFIER, FileId int, PRIMARY KEY(FolderId, FileId));
INSERT INTO #FileFolder
(FolderId, FileId)
SELECT FolderId,
FileId
FROM #FolderIndex
CROSS JOIN #FileIndex; -- just to illustrate
DECLARE #sFolder TABLE (FromFolderId UNIQUEIDENTIFIER, ToFolderId UNIQUEIDENTIFIER);
DECLARE #sFile TABLE (FromFileId int, ToFileId int);
-- copy Folder Structure
MERGE #FolderIndex fi
USING ( SELECT 1 [Dummy],
FolderId,
FolderName
FROM #FolderIndex [fi]
WHERE FolderName = 'OriginalFolder'
) d ON d.Dummy = 0
WHEN NOT MATCHED
THEN INSERT
(FolderId, FolderName)
VALUES (newid(), 'copy_'+FolderName)
OUTPUT d.FolderId,
INSERTED.FolderId
INTO #sFolder (FromFolderId, toFolderId);
-- copy File structure
MERGE #FileIndex fi
USING ( SELECT 1 [Dummy],
fi.FileId,
fi.[FileName]
FROM #FileIndex fi
INNER
JOIN #FileFolder fm ON
fi.FileId = fm.FileId
INNER
JOIN #FolderIndex fo ON
fm.FolderId = fo.FolderId
WHERE fo.FolderName = 'OriginalFolder'
) d ON d.Dummy = 0
WHEN NOT MATCHED
THEN INSERT ([FileName])
VALUES ([FileName])
OUTPUT d.FileId,
INSERTED.FileId
INTO #sFile (FromFileId, toFileId);
-- link new files to Folders
INSERT INTO #FileFolder (FileId, FolderId)
SELECT sfi.toFileId, sfo.toFolderId
FROM #FileFolder fm
INNER
JOIN #sFile sfi ON
fm.FileId = sfi.FromFileId
INNER
JOIN #sFolder sfo ON
fm.FolderId = sfo.FromFolderId
-- return
SELECT *
FROM #FileIndex fi
JOIN #FileFolder ff ON
fi.FileId = ff.FileId
JOIN #FolderIndex fo ON
ff.FolderId = fo.FolderId
I would like to add another example to add to #Nathan's example, as I found it somewhat confusing.
Mine uses real tables for the most part, and not temp tables.
I also got my inspiration from here: another example
-- Copy the FormSectionInstance
DECLARE #FormSectionInstanceTable TABLE(OldFormSectionInstanceId INT, NewFormSectionInstanceId INT)
;MERGE INTO [dbo].[FormSectionInstance]
USING
(
SELECT
fsi.FormSectionInstanceId [OldFormSectionInstanceId]
, #NewFormHeaderId [NewFormHeaderId]
, fsi.FormSectionId
, fsi.IsClone
, #UserId [NewCreatedByUserId]
, GETDATE() NewCreatedDate
, #UserId [NewUpdatedByUserId]
, GETDATE() NewUpdatedDate
FROM [dbo].[FormSectionInstance] fsi
WHERE fsi.[FormHeaderId] = #FormHeaderId
) tblSource ON 1=0 -- use always false condition
WHEN NOT MATCHED
THEN INSERT
( [FormHeaderId], FormSectionId, IsClone, CreatedByUserId, CreatedDate, UpdatedByUserId, UpdatedDate)
VALUES( [NewFormHeaderId], FormSectionId, IsClone, NewCreatedByUserId, NewCreatedDate, NewUpdatedByUserId, NewUpdatedDate)
OUTPUT tblSource.[OldFormSectionInstanceId], INSERTED.FormSectionInstanceId
INTO #FormSectionInstanceTable(OldFormSectionInstanceId, NewFormSectionInstanceId);
-- Copy the FormDetail
INSERT INTO [dbo].[FormDetail]
(FormHeaderId, FormFieldId, FormSectionInstanceId, IsOther, Value, CreatedByUserId, CreatedDate, UpdatedByUserId, UpdatedDate)
SELECT
#NewFormHeaderId, FormFieldId, fsit.NewFormSectionInstanceId, IsOther, Value, #UserId, CreatedDate, #UserId, UpdatedDate
FROM [dbo].[FormDetail] fd
INNER JOIN #FormSectionInstanceTable fsit ON fsit.OldFormSectionInstanceId = fd.FormSectionInstanceId
WHERE [FormHeaderId] = #FormHeaderId
Here's a solution that doesn't use MERGE (which I've had problems with many times I try to avoid if possible). It relies on two memory tables (you could use temp tables if you want) with IDENTITY columns that get matched, and importantly, using ORDER BY when doing the INSERT, and WHERE conditions that match between the two INSERTs... the first one holds the source IDs and the second one holds the target IDs.
-- Setup... We have a table that we need to know the old IDs and new IDs after copying.
-- We want to copy all of DocID=1
DECLARE #newDocID int = 99;
DECLARE #tbl table (RuleID int PRIMARY KEY NOT NULL IDENTITY(1, 1), DocID int, Val varchar(100));
INSERT INTO #tbl (DocID, Val) VALUES (1, 'RuleA-2'), (1, 'RuleA-1'), (2, 'RuleB-1'), (2, 'RuleB-2'), (3, 'RuleC-1'), (1, 'RuleA-3')
-- Create a break in IDENTITY values.. just to simulate more realistic data
INSERT INTO #tbl (Val) VALUES ('DeleteMe'), ('DeleteMe');
DELETE FROM #tbl WHERE Val = 'DeleteMe';
INSERT INTO #tbl (DocID, Val) VALUES (6, 'RuleE'), (7, 'RuleF');
SELECT * FROM #tbl t;
-- Declare TWO temp tables each with an IDENTITY - one will hold the RuleID of the items we are copying, other will hold the RuleID that we create
DECLARE #input table (RID int IDENTITY(1, 1), SourceRuleID int NOT NULL, Val varchar(100));
DECLARE #output table (RID int IDENTITY(1,1), TargetRuleID int NOT NULL, Val varchar(100));
-- Capture the IDs of the rows we will be copying by inserting them into the #input table
-- Important - we must specify the sort order - best thing is to use the IDENTITY of the source table (t.RuleID) that we are copying
INSERT INTO #input (SourceRuleID, Val) SELECT t.RuleID, t.Val FROM #tbl t WHERE t.DocID = 1 ORDER BY t.RuleID;
-- Copy the rows, and use the OUTPUT clause to capture the IDs of the inserted rows.
-- Important - we must use the same WHERE and ORDER BY clauses as above
INSERT INTO #tbl (DocID, Val)
OUTPUT Inserted.RuleID, Inserted.Val INTO #output(TargetRuleID, Val)
SELECT #newDocID, t.Val FROM #tbl t
WHERE t.DocID = 1
ORDER BY t.RuleID;
-- Now #input and #output should have the same # of rows, and the order of both inserts was the same, so the IDENTITY columns (RID) can be matched
-- Use this as the map from old-to-new when you are copying sub-table rows
-- Technically, #input and #output don't even need the 'Val' columns, just RID and RuleID - they were included here to prove that the rules matched
SELECT i.*, o.* FROM #output o
INNER JOIN #input i ON i.RID = o.RID
-- Confirm the matching worked
SELECT * FROM #tbl t
Related
I am trying to do the following but getting an "Invalid Column Name {column}" error. Can someone please help me see the error of my ways? We recently split a transaction table into 2 tables, one containing the often updated report column names and the other containing the unchanging transactions. This leave me trying to change what was a simple insert into 1 table to a complex insert into 2 tables with unique columns. I attempted to do that like so:
INSERT INTO dbo.ReportColumns
(
FullName
,Type
,Classification
)
OUTPUT INSERTED.Date, INSERTED.Amount, INSERTED.Id INTO dbo.Transactions
SELECT
[Date]
,Amount
,FullName
,Type
,Classification
FROM {multiple tables}
The "INSERTED.Date, INSERTED.Amount" are the source of the errors, with or without the "INSERTED." in front.
-----------------UPDATE------------------
Aaron was correct and it was impossible to manage with an insert but I was able to vastly improve the functionality of the insert and add some other business rules with the Merge functionality. My final solution resembles the following:
DECLARE #TransactionsTemp TABLE
(
[Date] DATE NOT NULL,
Amount MONEY NOT NULL,
ReportColumnsId INT NOT NULL
)
MERGE INTO dbo.ReportColumns AS Trgt
USING ( SELECT
{FK}
,[Date]
,Amount
,FullName
,Type
,Classification
FROM {multiple tables}) AS Src
ON Src.{FK} = Trgt.{FK}
WHEN MATCHED THEN
UPDATE SET
Trgt.FullName = Src.FullName,
Trgt.Type= Src.Type,
Trgt.Classification = Src.Classification
WHEN NOT MATCHED BY TARGET THEN
INSERT
(
FullName,
Type,
Classification
)
VALUES
(
Src.FullName,
Src.Type,
Src.Classification
)
OUTPUT Src.[Date], Src.Amount, INSERTED.Id INTO #TransactionsTemp;
MERGE INTO dbo.FinancialReport AS Trgt
USING (SELECT
[Date] ,
Amount ,
ReportColumnsId
FROM #TransactionsTemp) AS Src
ON Src.[Date] = Trgt.[Date] AND Src.ReportColumnsId = Trgt.ReportColumnsId
WHEN NOT MATCHED BY TARGET And Src.Amount <> 0 THEN
INSERT
(
[Date],
Amount,
ReportColumnsId
)
VALUES
(
Src.[Date],
Src.Amount,
Src.ReportColumnsId
)
WHEN MATCHED And Src.Amount <> 0 THEN
UPDATE SET Trgt.Amount = Src.Amount
WHEN MATCHED And Src.Amount = 0 THEN
DELETE;
Hope that helps someone else in the future. :)
Output clause will return values you are inserting into a table, you need multiple inserts, you can try something like following
declare #staging table (datecolumn date, amount decimal(18,2),
fullname varchar(50), type varchar(10),
Classification varchar(255));
INSERT INTO #staging
SELECT
[Date]
,Amount
,FullName
,Type
,Classification
FROM {multiple tables}
Declare #temp table (id int, fullname varchar(50), type varchar(10));
INSERT INTO dbo.ReportColumns
(
FullName
,Type
,Classification
)
OUTPUT INSERTED.id, INSERTED.fullname, INSERTED.type INTO #temp
SELECT
FullName
,Type
,Classification
FROM #stage
INSERT into dbo.transacrions (id, date, amount)
select t.id, s.datecolumn, s.amount from #temp t
inner join #stage s on t.fullname = s.fullname and t.type = s.type
I am fairly certain you will need to have two inserts (or create a view and use an instead of insert trigger). You can only use the OUTPUT clause to send variables or actual inserted values ti another table. You can't use it to split up a select into two destination tables during an insert.
If you provide more information (like how the table has been split up and how the rows are related) we can probably provide a more specific answer.
I have a table that stores two values; 'total' and 'owing' for each customer. Data is uploaded to the table using two files, one that brings in 'total' and the other brings in 'owing'. This means I have two records for each customerID:
customerID:--------Total:--------- Owing:
1234---------------- 1000----------NULL
1234-----------------NULL-----------200
I want to write a stored procedure that merges the two records together:
customerID:--------Total:--------- Owing:
1234---------------- 1000----------200
I have seen examples using COALESCE so put together something like this:
BEGIN
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;
--Variable declarations
DECLARE #customer_id varchar(20)
DECLARE #total decimal(15,8)
DECLARE #owing decimal(15,8)
DECLARE #customer_name_date varchar(255)
DECLARE #organisation varchar(4)
DECLARE #country_code varchar(2)
DECLARE #created_date datetime
--Other Variables
DECLARE #totals_staging_id int
--Get the id of the first row in the staging table
SELECT #totals_staging_id = MIN(totals_staging_id)
from TOTALS_STAGING
--iterate through the staging table
WHILE #totals_staging_id is not null
BEGIN
update TOTALS_STAGING
SET
total = coalesce(#total, total),
owing = coalesce(#owing, owing)
where totals_staging_id = #totals_staging_id
END
END
Any Ideas?
SELECT t1.customerId, t1.total, t2.owing FROM test t1 JOIN test t2 ON ( t1.customerId = t2.customerId) WHERE t1.total IS NOT NULL AND t2.owing IS NOT NULL
Wondering why aren't you just using UPDATE on a second file execution?
Except for COUNT, aggregate functions ignore null values. Aggregate
functions are frequently used with the GROUP BY clause of the SELECT
statement. MSDN
So you don't need to worry about null values with summing. Following will give your merging records together. Fiddle-demo
select customerId,
sum(Total) Total,
sum(Owing) Owing
from T
Group by customerId
Try this :
CREATE TABLE #Temp
(
CustomerId int,
Total int,
Owing int
)
insert into #Temp
values (1024,100,null),(1024,null,200),(1025,10,null)
Create Table #Final
(
CustomerId int,
Total int,
Owing int
)
insert into #Final
values (1025,100,50)
MERGE #Final AS F
USING
(SELECT customerid,sum(Total) Total,sum(owing) owing FROM #Temp
group by #Temp.customerid
) AS a
ON (F.customerid = a.customerid)
WHEN MATCHED THEN UPDATE SET F.Total = F.Total + isnull(a.Total,0)
,F.Owing = F.Owing + isnull(a.Owing,0)
WHEN NOT MATCHED THEN
INSERT (CustomerId,Total,Owing)
VALUES (a.customerid,a.Total,a.owing);
select * from #Final
drop table #Temp
drop table #Final
This should work:
SELECT CustomerID,
COALESCE(total1, total2) AS Total,
COALESCE(owing1, owing2) AS Owing
FROM
(SELECT row1.CustomerID AS CustomerID,
row1.Total AS total1,
row2.Total AS total2,
row1.Owing AS owing1,
row2.Owing AS owing2
FROM YourTable row1 INNER JOIN YourTable row2 ON row1.CustomerID = row2.CustomerID
WHERE row1.Total IS NULL AND row2.Total IS NOT NULL) temp
--Note: Alter the WHERE clause as necessary to ensure row1 and row2 are unique.
...but note that you'll need some mechanism to ensure row1 and row2 are unique. My WHERE clause is an example based on the data you provided. You'll need to tweak this to add something more specific to your business rules.
I have a requirement to insert multiple rows into table1 and at the same time insert a row into table2 with a pkID from table1 and a value that comes from a SP parameter.
I created a stored procedure that performs a batch insert with a table valued parameter which contains the rows to be inserted into table1. But I have a problem with inserting the row into table2 with the corresponding Id (identity) from table1, along with parameter value that I have passed.
Is there anyone who implemented this, or what is the good solution for this?
CREATE PROCEDURE [dbo].[oSP_TV_Insert]
#uID int
,#IsActive int
,#Type int -- i need to insert this in table 2
,#dTableGroup table1 READONLY -- this one is a table valued
AS
DECLARE #SQL varchar(2000)
DECLARE #table1Id int
BEGIN
INSERT INTO dbo.table1
(uID
,Name
,Contact
,Address
,City
,State
,Zip
,Phone
,Active)
SELECT
#uID
,Name
,Contact
,Address
,City
,State
,Zip
,Phone
,Active
,#G_Active
FROM #dTableGroup
--the above query will perform batch insert using the records from dTableGroup which is table valued
SET #table1ID = SCOPE_IDENTITY()
-- this below will perform inserting records to table2 with every Id inserted in table1.
Insert into table2(#table1ID , #type)
You need to temporarily store the inserted identity values and then create a second INSERT statement - using the OUTPUT clause.
Something like:
-- declare table variable to hold the ID's that are being inserted
DECLARE #InsertedIDs TABLE (ID INT)
-- insert values into table1 - output the inserted ID's into #InsertedIDs
INSERT INTO dbo.table1(ID, Name, Contact, Address, City, State, Zip, Phone, Active)
OUTPUT INSERTED.ID INTO #InsertedIDs
SELECT
#ID, Name, Contact, Address, City, State, Zip, Phone, Active, #G_Active
FROM #dTableGroup
and then you can have your second INSERT statement:
INSERT INTO dbo.table2(Table1ID, Type)
SELECT ID, #type FROM #InsertedIDs
See the MSDN docs on the OUTPUT clause for more details on what you can do with the OUTPUT clause - one of the most underused and most "unknown" features of SQL Server these days!
Another approach using OUTPUT clause and only one statement for inserting data in both destination tables:
--Parameters
DECLARE #TableGroup TABLE
(
Name NVARCHAR(100) NOT NULL
,Phone VARCHAR(10) NOT NULL
);
DECLARE #Type INT;
--End Of parameters
--Destination tables
DECLARE #FirstDestinationTable TABLE
(
FirstDestinationTableID INT IDENTITY(1,1) PRIMARY KEY
,Name NVARCHAR(100) NOT NULL
,Phone VARCHAR(10) NOT NULL
);
DECLARE #SecondDestinationTable TABLE
(
SecondDestinationTable INT IDENTITY(2,2) PRIMARY KEY
,FirstDestinationTableID INT NOT NULL
,[Type] INT NOT NULL
,CHECK([Type] > 0)
);
--End of destination tables
--Test1
--initialization
INSERT #TableGroup
VALUES ('Bogdan SAHLEAN', '0721200300')
,('Ion Ionescu', '0211002003')
,('Vasile Vasilescu', '0745600800');
SET #Type = 9;
--execution
INSERT #SecondDestinationTable (FirstDestinationTableID, [Type])
SELECT FirstINS.FirstDestinationTableID, #Type
FROM
(
INSERT #FirstDestinationTable (Name, Phone)
OUTPUT inserted.FirstDestinationTableID
SELECT tg.Name, tg.Phone
FROM #TableGroup tg
) FirstINS
--check records
SELECT *
FROM #FirstDestinationTable;
SELECT *
FROM #SecondDestinationTable;
--End of test1
--Test2
--initialization
DELETE #TableGroup;
DELETE #FirstDestinationTable;
DELETE #SecondDestinationTable;
INSERT #TableGroup
VALUES ('Ion Ionescu', '0210000000')
,('Vasile Vasilescu', '0745000000');
SET #Type = 0; --Wrong value
--execution
INSERT #SecondDestinationTable (FirstDestinationTableID, [Type])
SELECT FirstINS.FirstDestinationTableID, #Type
FROM
(
INSERT #FirstDestinationTable (Name, Phone)
OUTPUT inserted.FirstDestinationTableID
SELECT tg.Name, tg.Phone
FROM #TableGroup tg
) FirstINS
--check records
DECLARE #rc1 INT, #rc2 INT;
SELECT *
FROM #FirstDestinationTable;
SET #rc1 = ##ROWCOUNT;
SELECT *
FROM #SecondDestinationTable;
SET #rc2 = ##ROWCOUNT;
RAISERROR('[Test2 results] #FirstDestinationTable: %d rows; ##SecondDestinationTable: %d rows;',1,1,#rc1,#rc2);
--End of test1
Since you need all inserted identity values, look at the output clause of the insert statement: http://msdn.microsoft.com/en-us/library/ms177564.aspx
i'm trying to concatenate several columns from a persistent table into one column of a table variable, so that i can run a contains("foo" and "bar") and get a result even if foo is not in the same column as bar.
however, it isn't possible to create a unique index on a table variable, hence no fulltext index to run a contains.
is there a way to, dynamically, concatenate several columns and run a contains on them? here's an example:
declare #t0 table
(
id uniqueidentifier not null,
search_text varchar(max)
)
declare #t1 table ( id uniqueidentifier )
insert into
#t0 (id, search_text)
select
id,
foo + bar
from
description_table
insert into
#t1
select
id
from
#t0
where
contains( search_text, '"c++*" AND "programming*"' )
You cannot use CONTAINS on a table that has not been configured to use Full Text Indexing, and that cannot be applied to table variables.
If you want to use CONTAINS (as opposed to the less flexible PATINDEX) you will need to base the whole query on a table with a FT index.
You can't use full text indexing on a table variable but you can apply the full text parser. Would something like this do what you need?
declare #d table
(
id int identity(1,1),
testing varchar(1000)
)
INSERT INTO #D VALUES ('c++ programming')
INSERT INTO #D VALUES ('c# programming')
INSERT INTO #D VALUES ('c++ books')
SELECT id
FROM #D
CROSS APPLY sys.dm_fts_parser('"' + REPLACE(testing,'"','""') + '"', 1033, 0,0)
where display_term in ('c++','programming')
GROUP BY id
HAVING COUNT(DISTINCT display_term)=2
NB: There might well be a better way of using the parser but I couldn't quite figure it out. Details of it are at this link
declare #table table
(
id int,
fname varchar(50)
)
insert into #table select 1, 'Adam James Will'
insert into #table select 1, 'Jain William'
insert into #table select 1, 'Bob Rob James'
select * from #table where fname like '%ja%' and fname like '%wi%'
Is it something like this.
I am using SQL Server 2005. I have heard that we can use a table variable to use instead of LEFT OUTER JOIN.
What I understand is that, we have to put all the values from the left table to the table variable, first. Then we have to UPDATE the table variable with the right table values. Then select from the table variable.
Has anyone come across this kind of approach? Could you please suggest a real time example (with query)?
I have not written any query for this. My question is - if someone has used a similar approach, I would like to know the scenario and how it is handled. I understand that in some cases it may be slower than the LEFT OUTER JOIN.
Please assume that we are dealing with tables that have less than 5000 records.
Thanks
It can be done, but I have no idea why you would ever want to do it.
This realy does seem like it is being done backwards. But if you are trying this for your own learning only, here goes:
DECLARE #MainTable TABLE(
ID INT,
Val FLOAT
)
INSERT INTO #MainTable SELECT 1, 1
INSERT INTO #MainTable SELECT 2, 2
INSERT INTO #MainTable SELECT 3, 3
INSERT INTO #MainTable SELECT 4, 4
DECLARE #LeftTable TABLE(
ID INT,
MainID INT,
Val FLOAT
)
INSERT INTO #LeftTable SELECT 1, 1, 11
INSERT INTO #LeftTable SELECT 3, 3, 33
SELECT *,
mt.Val + ISNULL(lt.Val, 0)
FROM #MainTable mt LEFT JOIN
#LeftTable lt ON mt.ID = lt.MainID
DECLARE #Table TABLE(
ID INT,
Val FLOAT
)
INSERT INTO #Table
SELECT ID,
Val
FROM #MainTable
UPDATE #Table
SET Val = t.Val + lt.Val
FROM #Table t INNER JOIN
#LeftTable lt ON t.ID = lt.ID
SELECT *
FROM #Table
I don't think it's very clear from your question what you want to achieve? (What your tables look like, and what result you want). But you can certainly select data into a variable of a table datatype, and tamper with it. It's quite convenient:
DECLARE #tbl TABLE (id INT IDENTITY(1,1), userId int, foreignId int)
INSERT INTO #tbl (userId)
SELECT id FROM users
WHERE name LIKE 'a%'
UPDATE #tbl t
SET
foreignId = (SELECT id FROM foreignTable f WHERE f.userId = t.userId)
In that example I gave the table variable an identity column of its own, distinct from the one in the source table. I often find that useful. Adjust as you like... Again, it's not very clear what the question is, but I hope this might guide you in the right direction...?
Every scenario is different, and without full details on a specific case it's difficult to say whether it would be a good approach for you.
Having said that, I would not be looking to use the table variable approach unless I had a specific functional reason to - if the query can be fulfilled with a standard SELECT query using an OUTER JOIN, then I'd use that as I'd expect that to be most efficient.
The times where you may want to use a temp table/table variable instead, are more when you want to get an intermediary resultset and then do some processing on it before then returning it out - i.e. the kind of processing that cannot be done with a straight forward query.
Note the table variables are very handy, but take into account that they are not guaranteed to reside in-memory - they can get persisted to tempdb like standard temp tables.
Thank you, astander.
I tried with an example given below. Both of the approaches took 19 seconds. However, I guess some tuning will help the Table varaible update approach to become faster than LEFT JOIN.
AS I am not a master in tuning I request your help. Any SQL expert ready to prove it?
---- PLease replace "" with '' below. I am not familiar with how to put code in this forum... It causes some troubles....
CREATE TABLE #MainTable (
CustomerID INT PRIMARY KEY,
FirstName VARCHAR(100)
)
DECLARE #Count INT
SET #Count = 0
DECLARE #Iterator INT
SET #Iterator = 0
WHILE #Count <8000
BEGIN
INSERT INTO #MainTable SELECT #Count, "Cust"+CONVERT(VARCHAR(10),#Count)
SET #Count = #Count+1
END
CREATE TABLE #RightTable
(
OrderID INT PRIMARY KEY,
CustomerID INT,
Product VARCHAR(100)
)
CREATE INDEX [IDX_CustomerID] ON #RightTable (CustomerID)
WHILE #Iterator <400000
BEGIN
IF #Iterator % 2 = 0
BEGIN
INSERT INTO #RightTable SELECT #Iterator,2, "Prod"+CONVERT(VARCHAR(10),#Iterator)
END
ELSE
BEGIN
INSERT INTO #RightTable SELECT #Iterator,1, "Prod"+CONVERT(VARCHAR(10),#Iterator)
END
SET #Iterator = #Iterator+1
END
-- Using LEFT JOIN
SELECT mt.CustomerID,mt.FirstName,COUNT(rt.Product) [CountResult]
FROM #MainTable mt
LEFT JOIN #RightTable rt ON mt.CustomerID = rt.CustomerID
GROUP BY mt.CustomerID,mt.FirstName
---------------------------
-- Using Table variable Update
DECLARE #WorkingTableVariable TABLE
(
CustomerID INT,
FirstName VARCHAR(100),
ProductCount INT
)
INSERT
INTO #WorkingTableVariable (CustomerID,FirstName)
SELECT CustomerID, FirstName FROM #MainTable
UPDATE #WorkingTableVariable
SET ProductCount = [Count]
FROM #WorkingTableVariable wt
INNER JOIN
(SELECT CustomerID,COUNT(rt.Product) AS [Count]
FROM #RightTable rt
GROUP BY CustomerID) IV ON wt.CustomerID = IV.CustomerID
SELECT CustomerID,FirstName, ISNULL(ProductCount,0) [CountResult] FROM #WorkingTableVariable
ORDER BY CustomerID
--------
DROP TABLE #MainTable
DROP TABLE #RightTable
Thanks
Lijo
In my opinion there is one reason to do this:
If you have a complicated query with lots of inner joins and one left join you sometimes get in trouble because this query is hundreds of times less fast than using the same query without the left join.
If you query lots of records with a result of very few records to be joined to the left join you could get faster results if you materialize the intermediate result into a table variable or temp table.
But usually there is no need to really update the data in the table variable - you could query the table variable using the left join to return the result.
... just my two cents.