SQL update query using joins

UPDATE im
SET mf_item_number = gm.SKU --etc
FROM item_master im
JOIN group_master gm
    ON im.sku = gm.sku 
JOIN Manufacturer_Master mm
    ON gm.ManufacturerID = mm.ManufacturerID
WHERE im.mf_item_number like 'STA%' AND
      gm.manufacturerID = 34

To make it clear... The UPDATE clause can refer to an table alias specified in the FROM clause. So im in this case is valid

Generic example

UPDATE A
SET foo = B.bar
FROM TableA A
JOIN TableB B
    ON A.col1 = B.colx
WHERE ...

Adapting this to MySQL -- there is no FROM clause in UPDATE, but this works:

UPDATE
    item_master im
    JOIN
    group_master gm ON im.sku=gm.sku 
    JOIN
    Manufacturer_Master mm ON gm.ManufacturerID=mm.ManufacturerID
SET
    im.mf_item_number = gm.SKU --etc
WHERE
    im.mf_item_number like 'STA%'
    AND
    gm.manufacturerID=34

One of the easiest way is to use a common table expression (since you're already on SQL 2005):

with cte as (
select
    im.itemid
    ,im.sku as iSku
    ,gm.SKU as GSKU
    ,mm.ManufacturerId as ManuId
    ,mm.ManufacturerName
    ,im.mf_item_number
    ,mm.ManufacturerID
    , <your other field>
from 
    item_master im, group_master gm, Manufacturer_Master mm 
where
    im.mf_item_number like 'STA%'
    and im.sku=gm.sku
    and gm.ManufacturerID = mm.ManufacturerID
    and gm.manufacturerID=34)
update cte set mf_item_number = <your other field>

The query execution engine will figure out on its own how to update the record.

Did not use your sql above but here is an example of updating a table based on a join statement.

UPDATE p
SET    p.category = c.category
FROM   products p
       INNER JOIN prodductcatagories pg
            ON  p.productid = pg.productid
       INNER JOIN categories c
            ON  pg.categoryid = c.cateogryid
WHERE  c.categories LIKE 'whole%'

You can specify additional tables used in determining how and what to update with the "FROM " clause in the UPDATE statement, like this:

update item_master
set mf_item_number = (some value)
from 
   group_master as gm
   join Manufacturar_Master as mm ON ........
where
 .... (your conditions here)

In the WHERE clause, you need to provide the conditions and join operations to bind these tables together.

Marc

MySQL: In general, make necessary changes par your requirement:

UPDATE
    shopping_cart sc
    LEFT JOIN
    package pc ON sc. package_id = pc.id    
SET
    sc. amount = pc.amount

Try like this...

Update t1.Column1 = value 
from tbltemp as t1 
inner join tblUser as t2 on t2.ID = t1.UserID 
where t1.[column1]=value and t2.[Column1] = value;

You can use the following query:

UPDATE im
SET mf_item_number = (some value) 
FROM item_master im
JOIN group_master gm
    ON im.sku = gm.sku 
JOIN Manufacturer_Master mm
    ON gm.ManufacturerID = mm.ManufacturerID
WHERE im.mf_item_number like 'STA%' AND
      gm.manufacturerID = 34    `sql`

It is very simple to update using join query in SQL .You can do it without using FROM clause. Here is an example :

    UPDATE customer_table c 

      JOIN  
          employee_table e
          ON c.city_id = e.city_id  
      JOIN 
          anyother_ table a
          ON a.someID = e.someID

    SET c.active = "Yes"

    WHERE c.city = "New york";

If you are using SQL Server you can update one table from other table without specifying a join and simply link the two tables 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

You can update with MERGE Command with much more control over MATCHED and NOT MATCHED:(I slightly changed the source code to demonstrate my point)

USE tempdb;
GO
IF(OBJECT_ID('target') > 0)DROP TABLE dbo.target
IF(OBJECT_ID('source') > 0)DROP TABLE dbo.source
CREATE TABLE dbo.Target
    (
      EmployeeID INT ,
      EmployeeName VARCHAR(100) ,
      CONSTRAINT Target_PK PRIMARY KEY ( EmployeeID )
    );
CREATE TABLE dbo.Source
    (
      EmployeeID INT ,
      EmployeeName VARCHAR(100) ,
      CONSTRAINT Source_PK PRIMARY KEY ( EmployeeID )
    );
GO
INSERT  dbo.Target
        ( EmployeeID, EmployeeName )
VALUES  ( 100, 'Mary' );
INSERT  dbo.Target
        ( EmployeeID, EmployeeName )
VALUES  ( 101, 'Sara' );
INSERT  dbo.Target
        ( EmployeeID, EmployeeName )
VALUES  ( 102, 'Stefano' );

GO
INSERT  dbo.Source
        ( EmployeeID, EmployeeName )
VALUES  ( 100, 'Bob' );
INSERT  dbo.Source
        ( EmployeeID, EmployeeName )
VALUES  ( 104, 'Steve' );
GO

SELECT * FROM dbo.Source
SELECT * FROM dbo.Target

MERGE Target AS T
USING Source AS S
ON ( T.EmployeeID = S.EmployeeID )
WHEN MATCHED THEN
    UPDATE SET T.EmployeeName = S.EmployeeName + '[Updated]';
GO 
SELECT '-------After Merge----------'
SELECT * FROM dbo.Source
SELECT * FROM dbo.Target

Let me just add a warning to all the existing answers:

When using the SELECT ... FROM syntax, you should keep in mind that it is proprietary syntax for T-SQL and is non-deterministic. The worst part is, that you get no warning or error, it just executes smoothly.

Full explanation with example is in the documentation:

Use caution when specifying the FROM clause to provide the criteria for the update operation. The results of an UPDATE statement are undefined if the statement includes a FROM clause that is not specified in such a way that only one value is available for each column occurrence that is updated, that is if the UPDATE statement is not deterministic.

I've been trying to do things like this forever and it just occurred to me to try using the following syntax (using tuples)

update dstTable T
set (T.field1, T.field2, T.field3) = 
       (select S.value1, S.value2, S.value3
        from srcTable S
         where S.key = T.Key);

And surprisingly it worked. I'm using Oracle (12c I think). Is this standard SQL or Oracle specific?

NB: In my example I'm updating the entire table (filling new columns). The update has no where clause so all rows will be updated. Your fields will be set to NULL when the subquery doesn't return a row. (and it must not return more than one row).