How do I UPDATE from a SELECT in SQL Server? - sql

In SQL Server, it is possible to insert rows into a table with an INSERT.. SELECT statement:
INSERT INTO Table (col1, col2, col3)
SELECT col1, col2, col3
FROM other_table
WHERE sql = 'cool'
Is it also possible to update a table with SELECT? I have a temporary table containing the values and would like to update another table using those values. Perhaps something like this:
UPDATE Table SET col1, col2
SELECT col1, col2
FROM other_table
WHERE sql = 'cool'
WHERE Table.id = other_table.id

UPDATE
Table_A
SET
Table_A.col1 = Table_B.col1,
Table_A.col2 = Table_B.col2
FROM
Some_Table AS Table_A
INNER JOIN Other_Table AS Table_B
ON Table_A.id = Table_B.id
WHERE
Table_A.col3 = 'cool'

In SQL Server 2008 (or newer), use MERGE
MERGE INTO YourTable T
USING other_table S
ON T.id = S.id
AND S.tsql = 'cool'
WHEN MATCHED THEN
UPDATE
SET col1 = S.col1,
col2 = S.col2;
Alternatively:
MERGE INTO YourTable T
USING (
SELECT id, col1, col2
FROM other_table
WHERE tsql = 'cool'
) S
ON T.id = S.id
WHEN MATCHED THEN
UPDATE
SET col1 = S.col1,
col2 = S.col2;

UPDATE YourTable
SET Col1 = OtherTable.Col1,
Col2 = OtherTable.Col2
FROM (
SELECT ID, Col1, Col2
FROM other_table) AS OtherTable
WHERE
OtherTable.ID = YourTable.ID

I'd modify Robin's excellent answer to the following:
UPDATE Table
SET Table.col1 = other_table.col1,
Table.col2 = other_table.col2
FROM
Table
INNER JOIN other_table ON Table.id = other_table.id
WHERE
Table.col1 != other_table.col1
OR Table.col2 != other_table.col2
OR (
other_table.col1 IS NOT NULL
AND Table.col1 IS NULL
)
OR (
other_table.col2 IS NOT NULL
AND Table.col2 IS NULL
)
Without a WHERE clause, you'll affect even rows that don't need to be affected, which could (possibly) cause index recalculation or fire triggers that really shouldn't have been fired.

One way
UPDATE t
SET t.col1 = o.col1,
t.col2 = o.col2
FROM
other_table o
JOIN
t ON t.id = o.id
WHERE
o.sql = 'cool'

Another possibility not mentioned yet is to just chuck the SELECT statement itself into a CTE and then update the CTE.
WITH CTE
AS (SELECT T1.Col1,
T2.Col1 AS _Col1,
T1.Col2,
T2.Col2 AS _Col2
FROM T1
JOIN T2
ON T1.id = T2.id
/*Where clause added to exclude rows that are the same in both tables
Handles NULL values correctly*/
WHERE EXISTS(SELECT T1.Col1,
T1.Col2
EXCEPT
SELECT T2.Col1,
T2.Col2))
UPDATE CTE
SET Col1 = _Col1,
Col2 = _Col2;
This has the benefit that it is easy to run the SELECT statement on its own first to sanity check the results, but it does requires you to alias the columns as above if they are named the same in source and target tables.
This also has the same limitation as the proprietary UPDATE ... FROM syntax shown in four of the other answers. If the source table is on the many side of a one-to-many join then it is undeterministic which of the possible matching joined records will be used in the Update (an issue that MERGE avoids by raising an error if there is an attempt to update the same row more than once).

For the record (and others searching like I was), you can do it in MySQL like this:
UPDATE first_table, second_table
SET first_table.color = second_table.color
WHERE first_table.id = second_table.foreign_id

Using alias:
UPDATE t
SET t.col1 = o.col1
FROM table1 AS t
INNER JOIN
table2 AS o
ON t.id = o.id

The simple way to do it is:
UPDATE
table_to_update,
table_info
SET
table_to_update.col1 = table_info.col1,
table_to_update.col2 = table_info.col2
WHERE
table_to_update.ID = table_info.ID

This may be a niche reason to perform an update (for example, mainly used in a procedure), or may be obvious to others, but it should also be stated that you can perform an update-select statement without using join (in case the tables you're updating between have no common field).
update
Table
set
Table.example = a.value
from
TableExample a
where
Table.field = *key value* -- finds the row in Table
AND a.field = *key value* -- finds the row in TableExample a

Here is another useful syntax:
UPDATE suppliers
SET supplier_name = (SELECT customers.name
FROM customers
WHERE customers.customer_id = suppliers.supplier_id)
WHERE EXISTS (SELECT customers.name
FROM customers
WHERE customers.customer_id = suppliers.supplier_id);
It checks if it is null or not by using "WHERE EXIST".

I add this only so you can see a quick way to write it so that you can check what will be updated before doing the update.
UPDATE Table
SET Table.col1 = other_table.col1,
Table.col2 = other_table.col2
--select Table.col1, other_table.col,Table.col2,other_table.col2, *
FROM Table
INNER JOIN other_table
ON Table.id = other_table.id

If you use MySQL instead of SQL Server, the syntax is:
UPDATE Table1
INNER JOIN Table2
ON Table1.id = Table2.id
SET Table1.col1 = Table2.col1,
Table1.col2 = Table2.col2

UPDATE from SELECT with INNER JOIN in SQL Database
Since there are too many replies of this post, which are most heavily up-voted, I thought I would provide my suggestion here too. Although the question is very interesting, I have seen in many forum sites and made a solution using INNER JOIN with screenshots.
At first, I have created a table named with schoolold and inserted few records with respect to their column names and execute it.
Then I executed SELECT command to view inserted records.
Then I created a new table named with schoolnew and similarly executed above actions on it.
Then, to view inserted records in it, I execute SELECT command.
Now, Here I want to make some changes in third and fourth row, to complete this action, I execute UPDATE command with INNER JOIN.
To view the changes I execute the SELECT command.
You can see how Third and Fourth records of table schoolold easily replaced with table schoolnew by using INNER JOIN with UPDATE statement.

And if you wanted to join the table with itself (which won't happen too often):
update t1 -- just reference table alias here
set t1.somevalue = t2.somevalue
from table1 t1 -- these rows will be the targets
inner join table1 t2 -- these rows will be used as source
on .................. -- the join clause is whatever suits you

Updating through CTE is more readable than the other answers here:
;WITH cte
AS (SELECT col1,col2,id
FROM other_table
WHERE sql = 'cool')
UPDATE A
SET A.col1 = B.col1,
A.col2 = B.col2
FROM table A
INNER JOIN cte B
ON A.id = B.id

The following example uses a derived table, a SELECT statement after the FROM clause, to return the old and new values for further updates:
UPDATE x
SET x.col1 = x.newCol1,
x.col2 = x.newCol2
FROM (SELECT t.col1,
t2.col1 AS newCol1,
t.col2,
t2.col2 AS newCol2
FROM [table] t
JOIN other_table t2
ON t.ID = t2.ID) x

If you are using SQL Server you can update one table from another without specifying a join and simply link the two from the where clause. This makes a much simpler SQL query:
UPDATE Table1
SET Table1.col1 = Table2.col1,
Table1.col2 = Table2.col2
FROM
Table2
WHERE
Table1.id = Table2.id

Consolidating all the different approaches here.
Select update
Update with a common table expression
Merge
Sample table structure is below and will update from Product_BAK to Product table.
Table Product
CREATE TABLE [dbo].[Product](
[Id] [int] IDENTITY(1, 1) NOT NULL,
[Name] [nvarchar](100) NOT NULL,
[Description] [nvarchar](100) NULL
) ON [PRIMARY]
Table Product_BAK
CREATE TABLE [dbo].[Product_BAK](
[Id] [int] IDENTITY(1, 1) NOT NULL,
[Name] [nvarchar](100) NOT NULL,
[Description] [nvarchar](100) NULL
) ON [PRIMARY]
1. Select update
update P1
set Name = P2.Name
from Product P1
inner join Product_Bak P2 on p1.id = P2.id
where p1.id = 2
2. Update with a common table expression
; With CTE as
(
select id, name from Product_Bak where id = 2
)
update P
set Name = P2.name
from product P inner join CTE P2 on P.id = P2.id
where P2.id = 2
3. Merge
Merge into product P1
using Product_Bak P2 on P1.id = P2.id
when matched then
update set p1.[description] = p2.[description], p1.name = P2.Name;
In this Merge statement, we can do insert if not finding a matching record in the target, but exist in the source and please find syntax:
Merge into product P1
using Product_Bak P2 on P1.id = P2.id;
when matched then
update set p1.[description] = p2.[description], p1.name = P2.Name;
WHEN NOT MATCHED THEN
insert (name, description)
values(p2.name, P2.description);

The other way is to use a derived table:
UPDATE t
SET t.col1 = a.col1
,t.col2 = a.col2
FROM (
SELECT id, col1, col2 FROM #tbl2) a
INNER JOIN #tbl1 t ON t.id = a.id
Sample data
DECLARE #tbl1 TABLE (id INT, col1 VARCHAR(10), col2 VARCHAR(10))
DECLARE #tbl2 TABLE (id INT, col1 VARCHAR(10), col2 VARCHAR(10))
INSERT #tbl1 SELECT 1, 'a', 'b' UNION SELECT 2, 'b', 'c'
INSERT #tbl2 SELECT 1, '1', '2' UNION SELECT 2, '3', '4'
UPDATE t
SET t.col1 = a.col1
,t.col2 = a.col2
FROM (
SELECT id, col1, col2 FROM #tbl2) a
INNER JOIN #tbl1 t ON t.id = a.id
SELECT * FROM #tbl1
SELECT * FROM #tbl2

UPDATE TQ
SET TQ.IsProcessed = 1, TQ.TextName = 'bla bla bla'
FROM TableQueue TQ
INNER JOIN TableComment TC ON TC.ID = TQ.TCID
WHERE TQ.IsProcessed = 0
To make sure you are updating what you want, select first
SELECT TQ.IsProcessed, 1 AS NewValue1, TQ.TextName, 'bla bla bla' AS NewValue2
FROM TableQueue TQ
INNER JOIN TableComment TC ON TC.ID = TQ.TCID
WHERE TQ.IsProcessed = 0

There is even a shorter method and it might be surprising for you:
Sample data set:
CREATE TABLE #SOURCE ([ID] INT, [Desc] VARCHAR(10));
CREATE TABLE #DEST ([ID] INT, [Desc] VARCHAR(10));
INSERT INTO #SOURCE VALUES(1,'Desc_1'), (2, 'Desc_2'), (3, 'Desc_3');
INSERT INTO #DEST VALUES(1,'Desc_4'), (2, 'Desc_5'), (3, 'Desc_6');
Code:
UPDATE #DEST
SET #DEST.[Desc] = #SOURCE.[Desc]
FROM #SOURCE
WHERE #DEST.[ID] = #SOURCE.[ID];

Use:
drop table uno
drop table dos
create table uno
(
uid int,
col1 char(1),
col2 char(2)
)
create table dos
(
did int,
col1 char(1),
col2 char(2),
[sql] char(4)
)
insert into uno(uid) values (1)
insert into uno(uid) values (2)
insert into dos values (1,'a','b',null)
insert into dos values (2,'c','d','cool')
select * from uno
select * from dos
EITHER:
update uno set col1 = (select col1 from dos where uid = did and [sql]='cool'),
col2 = (select col2 from dos where uid = did and [sql]='cool')
OR:
update uno set col1=d.col1,col2=d.col2 from uno
inner join dos d on uid=did where [sql]='cool'
select * from uno
select * from dos
If the ID column name is the same in both tables then just put the table name before the table to be updated and use an alias for the selected table, i.e.:
update uno set col1 = (select col1 from dos d where uno.[id] = d.[id] and [sql]='cool'),
col2 = (select col2 from dos d where uno.[id] = d.[id] and [sql]='cool')

In the accepted answer, after the:
SET
Table_A.col1 = Table_B.col1,
Table_A.col2 = Table_B.col2
I would add:
OUTPUT deleted.*, inserted.*
What I usually do is putting everything in a roll backed transaction and using the "OUTPUT": in this way I see everything that is about to happen. When I am happy with what I see, I change the ROLLBACK into COMMIT.
I usually need to document what I did, so I use the "results to Text" option when I run the roll-backed query and I save both the script and the result of the OUTPUT. (Of course this is not practical if I changed too many rows)

UPDATE table AS a
INNER JOIN table2 AS b
ON a.col1 = b.col1
INNER JOIN ... AS ...
ON ... = ...
SET ...
WHERE ...

The below solution works for a MySQL database:
UPDATE table1 a , table2 b
SET a.columname = 'some value'
WHERE b.columnname IS NULL ;

The other way to update from a select statement:
UPDATE A
SET A.col = A.col,B.col1 = B.col1
FROM first_Table AS A
INNER JOIN second_Table AS B ON A.id = B.id WHERE A.col2 = 'cool'

Option 1: Using Inner Join:
UPDATE
A
SET
A.col1 = B.col1,
A.col2 = B.col2
FROM
Some_Table AS A
INNER JOIN Other_Table AS B
ON A.id = B.id
WHERE
A.col3 = 'cool'
Option 2: Co related Sub query
UPDATE table
SET Col1 = B.Col1,
Col2 = B.Col2
FROM (
SELECT ID, Col1, Col2
FROM other_table) B
WHERE
B.ID = table.ID

UPDATE table1
SET column1 = (SELECT expression1
FROM table2
WHERE conditions)
[WHERE conditions];
The syntax for the UPDATE statement when updating one table with data from another table in SQL Server.

It is important to point out, as others have, that MySQL or MariaDB use a different syntax. Also it supports a very convenient USING syntax (in contrast to T/SQL). Also INNER JOIN is synonymous with JOIN. Therefore the query in the original question would be best implemented in MySQL thusly:
UPDATE
Some_Table AS Table_A
JOIN
Other_Table AS Table_B USING(id)
SET
Table_A.col1 = Table_B.col1,
Table_A.col2 = Table_B.col2
WHERE
Table_A.col3 = 'cool'
I've not seen the a solution to the asked question in the other answers, hence my two cents.
(tested on PHP 7.4.0 MariaDB 10.4.10)

Related

unable to get a stable set of rows error

I am trying to perform a merge into a table (let's call it table1) from a table2. In the USING condition I need a third table (table3). This third table contains some IDs that I need in table1. A simplified version of my merge looks like:
MERGE INTO table1 a
USING (
SELECT ID, address
FROM table3 b
Where address IN
(
SELECT address
FROM table3
WHERE address IS NOT NULL
AND ID> 0
GROUP BY address
HAVING COUNT(*) = 1
)
) c
ON (a.address = c.address)
WHEN MATCHED THEN
UPDATE SET a.ID = c.ID
WHERE a.ID = 0
I know that the error I get is usually caused by the query in the USING clause, but theoretically this problem should be eliminated by the count(*)=1 condition.
I have duplicates in table2, but they should all get an ID from table3 or ID 0 if the address is duplicated in table3.
IDs are unique for an address, so they should be distinct.
P.S. This merge is performed automatically by a script that , so I can modify the query to add more conditions/restrictions, but I cannot change the structure [meaning I have to use these 3 tables as they are].
I hope this makes sense.
Any ideas why this still does not work for me?
Try this:
MERGE INTO table1 a
USING (
SELECT max(ID), address
FROM table3 b
WHERE address IS NOT NULL AND ID > 0
GROUP BY address
HAVING COUNT(*) = 1
) c
ON (a.address = c.address)
WHEN MATCHED THEN
UPDATE SET a.ID = c.ID
WHERE a.ID = 0;
you have where condition in inner query but not in outer query. If you want your original query please try:
MERGE INTO table1 a
USING (
SELECT ID, address
FROM table3 b
AND address IN
(
SELECT address
FROM table3
WHERE address IS NOT NULL
AND ID> 0
GROUP BY address
HAVING COUNT(*) = 1
)
WHERE address IS NOT NULL
AND ID> 0
) c
ON (a.address = c.address)
WHEN MATCHED THEN
UPDATE SET a.ID = c.ID
WHERE a.ID = 0
The issue is more than likely due to the duplicate rows from table2. Here's a simple test case demonstrating the issue:
Setup:
CREATE TABLE t1 (ID INTEGER PRIMARY KEY,
val VARCHAR2(1));
CREATE TABLE t2 (ID INTEGER,
val VARCHAR2(1));
INSERT INTO t1 (ID, val) VALUES (1, 'A');
INSERT INTO t2 (ID, val) VALUES (1, 'B');
INSERT INTO t2 (ID, val) VALUES (1, 'B');
COMMIT;
Merge that will error:
MERGE INTO t1 USING t2
ON (t1.id = t2.id)
WHEN MATCHED THEN
UPDATE SET t1.val = t2.val;
ORA-30926: unable to get a stable set of rows in the source tables
Merge that will succeed:
MERGE INTO t1 USING (SELECT DISTINCT id, val FROM t2) t2
ON (t1.id = t2.id)
WHEN MATCHED THEN
UPDATE SET t1.val = t2.val;
N.B. The second merge will still fail if you have different values returned for val for the same id; that means you will have more than one row returned for a given id, and Oracle won't know which one to use to update the target table with.
In order to make sure your merge statement will work, you will need to ensure that you will return at most 1 row per address in the source subquery.

How can I make this SQL update statement more efficient?

I am trying to add count, sum, and average values from one table to another, but I end up querying the same data for each value. I'm using PostgreSQL. I'm turning this over to the experts to learn how to make this update statement more efficient. Here it is:
update "table1" set
"col1" = (SELECT COUNT(*) FROM "table2" WHERE "table2Id" = "table1"."table1Id"),
"col2" = (SELECT AVG("someCol") FROM "table2" WHERE "table2Id" = "table1"."table1Id"),
"col3" = (SELECT SUM("someCol") FROM "table2" WHERE "table2Id" = "table1"."table1Id");
I should be able to run a subquery like this once and access the returned values for the update, correct?
SELECT COUNT(*), AVG("someCol"), SUM("someCol") FROM "table2" WHERE "table2Id" = "table1"."table1Id";
Any help is much appreciated.
Try a subquery:
UPDATE table1
SET col1 = YourCount, col2 = YourAverage, col3 = YourSum
FROM table1 t1
INNER JOIN (
SELECT table2Id, COUNT(*) AS YourCount, AVG(someCol1) YourAverage,
SUM(someCol2) YourSum
FROM table2
GROUP BY table2Id
) t2 ON t1.table1Id = t2.table2Id
I believe in recent (9.0+) versions of Postgresql, it is possible to use a CTE for a cleaner looking query.
WITH calculations AS
(SELECT table2ID, COUNT(*) AS n, SUM(someCol) AS s, AVG(someCol) AS a
FROM table2
GROUP BY table2ID)
UPDATE table1
SET col1=n, col2=s, col3=a
FROM calculations WHERE calculations.table2ID=table1.table1ID;

Case statement trickery required

Table 1
Mail Special Quote (Y/N)
g#hotmail.com Blank
s#ho.com Blank
sss#j.com Blank
Table 2
Email Address Dept
g#hotmail.com Config
s#ho.com Finance
sss#j.com Marketing
Now I want Table 1 updated to Y where the matching email address in Table 2 is coming from Finance or Marketing .
UPDATE TABLE 1
Set Special Quote to be Y
where in TABLE 2 the Dept is Finance or Marketing for the matching email address.
Probably just having a brain freeze and need some coffee .
Thinking left join on email address then throw in a bit of a case statement perhaps for the Y and N bit ?
no case statement needed.
update table1 set special_quote = 'Y'
where mail in ( select email_address from table2 where dept in ('Finance','Marketing' ))
Try the following:
UPDATE A
SET A.SpecialQuote = 'Y'
FROM Table1 A
INNER JOIN Table2 B
ON A.Mail = B.EmailAddress
WHERE B.Dept IN ('Finance','Marketing')
I'm more of a MySQL user so this could be wrong, but try something like this:
UPDATE table1 SET specialquote = 'Y'
WHERE Mail IN (SELECT EmailAddress FROM table2 WHERE Dept IN ('Finance','Marketing'))
You were very close, you will need to join the two tables on the mail field but then check if the Dept is in Finance/Marketing
UPDATE t1
SET t1.[Special Quote] = 'Y'
FROM Table1 t1
INNER JOIN Table2 t2
ON t1.mail = t2.mail
WHERE t2.Dept in ('Finance','Marketing')
This will update only the items that are included, if you want to update either Y/N, then you could do the following (see SQL Fiddle with Demo)
UPDATE t1
SET t1.sq = CASE WHEN t2.dept IS NOT NULL THEN 'Y' ELSE 'N' END
FROM table1 t1
LEFT JOIN table2 t2
ON t1.mail = t2.mail
AND t2.Dept in ('Finance','Marketing')
You are on the right track. Here is the syntax:
update table1
set SpecialQuote = 'Y'
where mail in (select emailaddress from table2 where dept in ('Finance', 'Marketing')
create table #tbl1 (mail varchar(50),quote varchar(1))
create table #tbl2 (mail varchar(50),dept varchar(10))
insert into #tbl1 values ('a#a.com','')
insert into #tbl1 values ('b#b.com','')
insert into #tbl1 values ('c#c.com','')
insert into #tbl1 values ('d#d.com','')
insert into #tbl1 values ('e#e.com','')
insert into #tbl2 values ('a#a.com','config')
insert into #tbl2 values ('b#b.com','finance')
insert into #tbl2 values ('c#c.com','marketing')
insert into #tbl2 values ('d#d.com','other')
insert into #tbl2 values ('e#e.com','skivers')
update #tbl1
set quote = 'Y'
where mail in (SELECT mail FROM #tbl2 WHERE dept IN ('finance','marketing'))
select * from #tbl1
drop table #tbl1
drop table #tbl2
I like to use CTEs to help clarify different pieces of a query, so here is one way to do this. There are others if you don't like it.
with getval as (
select mail,dept from test2
where dept in ('Marketing','Finance')
)
update test1
set quote = case when dept is NOT null then 'Y' else 'N' end
from test1 t1
left outer join getval t2 on t1.mail = t2.mail
Anyway, I used a left join to take all of the records, then used a case to sort where the dept appeared (meaning the record was found in the CTE).
OR...
update table1
set quote = case when dept is NOT null then 'Y' else 'N' end
from table1 t1
left outer join table2 t2 on t1.email = t2.email and t2.dept in ('Marketing','Finance')
That should also work.
Update Table1
Set [Special Quote]='Y'
from Table1 t1
join Table2 t2
on t1.[Email Address]=t2.[Email Address]
where t2.dept in ('Finance','Marketing')
Untested sample, so understand that caveat, but believe it is close enough to illustrate the point. Good luck!
EDIT: Per the OP's "Y/N update" comment below, change as follows...although there are several other subtly different ways you could accomplish the same thing. Hope this helps you.
Update Table1
Set [Special Quote]=(case when t2.dept='Finance'
then 'Y'
when t2.dept='Marketing'
then 'Y'
else 'N'
end)
from Table1 t1
join Table2 t2
on t1.[Email Address]=t2.[Email Address]

Updating and join on multiple rows, which row's value is used?

Let's say I have the following statement and the inner join results in 3 rows where a.Id = b.Id, but each of the 3 rows have different b.Value's. Since only one row from tableA is being updated, which of the 3 values is used in the update?
UPDATE a
SET a.Value = b.Value
FROM tableA AS a
INNER JOIN tableB as b
ON a.Id = b.Id
I don't think there are rules for this case and you cannot depend on a particular outcome.
If you're after a specific row, say the latest one, you can use apply, like:
UPDATE a
SET a.Value = b.Value
FROM tableA AS a
CROSS APPLY
(
select top 1 *
from tableB as b
where b.id = a.id
order by
DateColumn desc
) as b
Usually what you end up with in this scenario is the first row that appears in the order of the physical index on the table. In actual practice, you should treat this as non-deterministic and include something that narrows your result to one row.
Here is what I came up with using SQL Server 2008
--drop table #b
--drop table #a
select 1 as id, 2 as value
into #a
select 1 as id, 5 as value
into #b
insert into #b
select 1, 3
insert into #b
select 1, 6
select * from #a
select * from #b
UPDATE #a
SET #a.Value = #b.Value
FROM #a
INNER JOIN #b
ON #a.Id = #b.Id
It appears that it uses the top value of a basic select each time (row 1 of select * from #b). So, it possibly depends on indexing. However, I would not rely on the implementation set by SQL, as that has the possibility of changing. Instead, I would suggest using the solution presented by Andomar to make sure you know what value you are going to choose.
In short, do not trust the default implementation, create your own. But, this was an interesting academic question :)
Best option in my case for updating multiple records is to use merge Query(Supported from SQL Server 2008), in this query you have complete control of what you are updating.
Also you can use output query to do further processing.
Example: Without Output clause(only update)
;WITH cteB AS
( SELECT Id, Col1, Col2, Col3
FROM B WHERE Id > 10 ---- Select Multiple records
)
MERGE A
USING cteB
ON(A.Id = cteB.Id) -- Update condition
WHEN MATCHED THEN UPDATE
SET
A.Col1 = cteB.Col1, --Note: Update condition i.e; A.Id = cteB.Id cant appear here again.
A.Col2 = cteB.Col2,
A.Col3 = cteB.Col3;
Example: With OputPut clause
CREATE TABLE #TempOutPutTable
{
PkId INT NOT NULL,
Col1 VARCHAR(50),
Col2 VARCHAR(50)
}
;WITH cteB AS
( SELECT Id, Col1, Col2, Col3
FROM B WHERE Id > 10
)
MERGE A
USING cteB
ON(A.Id = cteB.Id)
WHEN MATCHED THEN UPDATE
SET
A.Col1 = cteB.Col1,
A.Col2 = cteB.Col2,
A.Col3 = cteB.Col3
OUTPUT
INSERTED.Id, cteB.Col1, A.Col2 INTO #TempOutPutTable;
--Do what ever you want with the data in temporary table
SELECT * FROM #TempOutPutTable; -- you can check here which records are updated.
Yes, I came up with a similar experiment to Justin Pihony:
IF OBJECT_ID('tempdb..#test') IS NOT NULL DROP TABLE #test ;
SELECT
1 AS Name, 0 AS value
INTO #test
IF OBJECT_ID('tempdb..#compare') IS NOT NULL DROP TABLE #compare ;
SELECT 1 AS name, 1 AS value
INTO #compare
INSERT INTO #compare
SELECT 1 AS name, 0 AS value;
SELECT * FROM #test
SELECT * FROM #compare
UPDATE t
SET t.value = c.value
FROM #test t
INNER JOIN #compare c
ON t.Name = c.name
Takes the topmost row in the comparison, right-side table. You can reverse the #compare.value values to 0 and 1 and you'll get the reverse. I agree with the posters above...its very strange that this operation does not throw an error message as it is completely hidden that this operation IGNORES secondary values

How do I compare 2 rows from the same table (SQL Server)?

I need to create a background job that processes a table looking for rows matching on a particular id with different statuses. It will store the row data in a string to compare the data against a row with a matching id.
I know the syntax to get the row data, but I have never tried comparing 2 rows from the same table before. How is it done? Would I need to use variables to store the data from each? Or some other way?
(Using SQL Server 2008)
You can join a table to itself as many times as you require, it is called a self join.
An alias is assigned to each instance of the table (as in the example below) to differentiate one from another.
SELECT a.SelfJoinTableID
FROM dbo.SelfJoinTable a
INNER JOIN dbo.SelfJoinTable b
ON a.SelfJoinTableID = b.SelfJoinTableID
INNER JOIN dbo.SelfJoinTable c
ON a.SelfJoinTableID = c.SelfJoinTableID
WHERE a.Status = 'Status to filter a'
AND b.Status = 'Status to filter b'
AND c.Status = 'Status to filter c'
OK, after 2 years it's finally time to correct the syntax:
SELECT t1.value, t2.value
FROM MyTable t1
JOIN MyTable t2
ON t1.id = t2.id
WHERE t1.id = #id
AND t1.status = #status1
AND t2.status = #status2
Some people find the following alternative syntax easier to see what is going on:
select t1.value,t2.value
from MyTable t1
inner join MyTable t2 on
t1.id = t2.id
where t1.id = #id
SELECT COUNT(*) FROM (SELECT * FROM tbl WHERE id=1 UNION SELECT * FROM tbl WHERE id=2) a
If you got two rows, they different, if one - the same.
SELECT * FROM A AS b INNER JOIN A AS c ON b.a = c.a
WHERE b.a = 'some column value'
I had a situation where I needed to compare each row of a table with the next row to it, (next here is relative to my problem specification) in the example next row is specified using the order by clause inside the row_number() function.
so I wrote this:
DECLARE #T TABLE (col1 nvarchar(50));
insert into #T VALUES ('A'),('B'),('C'),('D'),('E')
select I1.col1 Instance_One_Col, I2.col1 Instance_Two_Col from (
select col1,row_number() over (order by col1) as row_num
FROM #T
) AS I1
left join (
select col1,row_number() over (order by col1) as row_num
FROM #T
) AS I2 on I1.row_num = I2.row_num - 1
after that I can compare each row to the next one as I need