- UPDATE [ LOW_PRIORITY ] [ IGNORE ] tableName SET column1 = expression1, column2 = expression2, ... [WHERE conditions]; //Simple single table update
- UPDATE [ LOW_PRIORITY ] [ IGNORE ] tableName SET column1 = expression1, column2 = expression2, ... [WHERE conditions] [ORDER BY expression [ ASC | DESC ]] [LIMIT row_count]; //Update with order by and limit
- UPDATE [LOW_PRIORITY] [IGNORE] table1, table2, ... SET column1 = expression1, column2 = expression2, ... [WHERE conditions]; //Multiple Table update
Updating one rowEdit
UPDATE customers SET email@example.com' WHERE id=1
This query updates the content of
customers table to the string
firstname.lastname@example.org where the value of
id is equal to 1. The old and new contents of the database table are illustrated below on the left and right respectively:
Updating all rowsEdit
UPDATE customers SET lastname='smith'
This query update the content of
lastname for every entry in the
customers table. The old and new contents of the database table are illustrated below on the left and right respectively:
Notice: It is necessary to use conditional clauses (WHERE) in UPDATE query. If you do not use any conditional clause then all records of that table's attribute will be updated. In above example new value (Smith) of lastname in customers table set to all rows.
Update with Join PatternEdit
Consider a production table called
questions_mysql and a table
iwtQuestions (imported worktable) representing the last batch of imported CSV data from a
LOAD DATA INFILE. The worktable is truncated before the import, the data is imported, and that process is not shown here.
Update our production data using a join to our imported worktable data.
UPDATE questions_mysql q -- our real table for production join iwtQuestions i -- imported worktable ON i.qId = q.qId SET q.closeVotes = i.closeVotes, q.votes = i.votes, q.answers = i.answers, q.views = i.views;
i are used to abbreviate the table references. This eases development and readability.
qId, the Primary Key, represents the Stackoverflow question id. Four columns are updated for matching rows from the join.
UPDATE with ORDER BY and LIMITEdit
ORDER BY clause is specified in your update SQL statement, the rows are updated in the order that is specified.
LIMIT clause is specified in your SQL statement, that places a limit on the number of rows that can be updated. There is no limit, if
LIMIT clause not specified.
ORDER BY and
LIMIT cannot be used for multi table update.
Syntax for the MySQL
ORDER BY and
UPDATE [ LOW_PRIORITY ] [ IGNORE ] tableName SET column1 = expression1, column2 = expression2, ... [WHERE conditions] [ORDER BY expression [ ASC | DESC ]] [LIMIT row_count]; ***> Example UPDATE employees SET isConfirmed=1 ORDER BY joiningDate LIMIT 10
In the above example, 10 rows will be updated according to the order of employees
Multiple Table UPDATEEdit
In multiple table
UPDATE, it updates rows in each specified tables that satisfy the conditions. Each matching row is updated once, even if it matches the conditions multiple times.
In multiple table
ORDER BY and
LIMIT cannot be used.
Syntax for multi table
UPDATE [LOW_PRIORITY] [IGNORE] table1, table2, ... SET column1 = expression1, column2 = expression2, ... [WHERE conditions]
For example consider two tables,
salesOrders. In case, we decrease the quantity of a particular product from the sales order which is placed already. Then we also need to increase that quantity in our stock column of
products table. This can be done in single SQL update statement like below.
UPDATE products, salesOrders SET salesOrders.Quantity = salesOrders.Quantity - 5, products.availableStock = products.availableStock + 5 WHERE products.productId = salesOrders.productId AND salesOrders.orderId = 100 AND salesOrders.productId = 20;
In the above example, quantity '5' will be reduced from the
salesOrders table and the same will be increased in
products table according to the
When updating multiple rows with different values it is much quicker to use a bulk update.
UPDATE people SET name = (CASE id WHEN 1 THEN 'Karl' WHEN 2 THEN 'Tom' WHEN 3 THEN 'Mary' END) WHERE id IN (1,2,3);
By bulk updating only one query can be sent to the server instead of one query for each row to update. The cases should contain all possible parameters looked up in the