I am trying to understand how to UPDATE multiple rows with different values and I just don't get it. Free Download Ip Tool Canon Ip1800. The solution is everywhere but to me it looks difficult to understand. For instance, three updates into 1 query: UPDATE table_users SET cod_user = '622057', date = '12082014' WHERE user_rol = 'student' AND cod_office = '123456'; UPDATE table_users SET cod_user = '2913659', date = '12082014' WHERE user_rol = 'assistant' AND cod_office = '123456'; UPDATE table_users SET cod_user = '6160230', date = '12082014' WHERE user_rol = 'admin' AND cod_office = '123456'; I an example, but I really don't understand how to make the query. I.e: UPDATE table_to_update SET cod_user= IF(cod_office = '123456','622057','2913659','6160230'),date = IF(cod_office = '123456','12082014') WHERE??

It is possible, and fairly easy, to update multiple rows of a MySQL table at the same time, with different values for each row. Unfortunately it’s not as easy as inserting, but once you see what’s [].

IN (??); I'm not entirely clear how to do the query if there are multiple condition in the WHERE and in the IF condition.any ideas? MySQL allows a more readable way to combine multiple updates into a single query.

This seems to better fit the scenario you describe, is much easier to read, and avoids those difficult-to-untangle multiple conditions. INSERT INTO table_users (cod_user, date, user_rol, cod_office) VALUES ('622057', '12082014', 'student', '123456'), ('2913659', '12082014', 'assistant','123456'), ('6160230', '12082014', 'admin', '123456') ON DUPLICATE KEY UPDATE cod_user=VALUES(cod_user), date=VALUES(date) This assumes that the user_rol, cod_office combination is a primary key.

If only one of these is the PK, then add the other field to the UPDATE list. If neither of them is a primary key (that seems unlikely) then this approach will always create new records - probably not what is wanted. However, this approach makes prepared statements easier to build and more concise.

Summary: in this tutorial, you will learn how to use the MySQL UPDATE JOIN statement to perform the cross-table update. We will show you step by step how to use INNER JOIN clause and LEFT JOIN clause with the UPDATE statement. MySQL UPDATE JOIN syntax We often use join clauses to query rows in a table that have (in the case of ) or may not have (in the case of ) corresponding rows in another table. In MySQL, we can use the JOIN clauses in the to perform the cross-table update. The syntax of the MySQL UPDATE JOIN is as follows. WHERE condition Let’s examine the MySQL UPDATE JOIN syntax in greater detail: • First, you specify the main table ( T1 ) and the table that you want the main table to join to ( T2 ) after the UPDATE clause. Notice that you must specify at least one table after the UPDATE clause.

The data in the table that is not specified after the UPDATE clause is not updated. • Second, you specify a kind of join you want to use i. Installing Apache And Php. e., either INNER JOIN or LEFT JOIN and a join condition. The JOIN clause must appear right after the UPDATE clause.

• Third, you assign new values to the columns in T1 and/or T2 tables that you want to update. • Fourth, the condition in the allows you to specify which rows to update.

If you follow the, you notice that there is another way to update data cross-table using the following syntax. Salary = salary + salary * percentage; How the query works. We specify only the employees table after UPDATE clause because we want to update data in the employees table only. For each row in the employees table, the query checks the value in the performance column against the value in the performance column in the merits table.

If it finds a match, it gets the percentage in the merits table and updates the salary column in the employees table. Because we omit the WHERE clause in the UPDATE statement, all the records in the employees table get updated. MySQL UPDATE JOIN example with LEFT JOIN Suppose the company hires two more employees. ( 'Ricky Bond', NULL,52000); Because these employees are new hires so their performance data is not available or NULL. To increase the salary for new hires, you cannot use the UPDATE INNER JOIN statement because their performance data is not available in the merit table.