UPDATE
Updates rows in the specified table.
Syntax
UPDATE <table> [ [ AS ] <alias> ] SET <column1> = <expression1> [, <column2> = <expression2> ...] [ FROM from_item [, ...] ] WHERE <condition>
Parameters
Parameter | Description |
---|---|
<table> | The table name to update rows in. |
<column> | The name of the column to be updated. |
<expression> | An expression which computes a new value to populate the column. The expression can reference any column from the row being updated. |
<from_item> | A table expression allowing columns from other tables to appear in the WHERE condition and update expressions. This uses the same syntax as the FROM clause of a SELECT statement; for example, an alias for the table name can be specified. Do not repeat the target table as a from_item unless you intend a self-join (in which case it must appear with an alias in the from_item ). |
<condition> | A Boolean expression. Only rows for which this expression returns true will be updated. Condition can have subqueries doing semi-join with other table(s). |
Remarks
Updated rows are marked for deletion, but are not automatically cleaned up. You can monitor fragmentation in information_schema.tables
to understand how many rows are marked for deletion out of total rows; fragmentation = (rows marked for deletion / total rows). Total row count in information_schema.tables
excludes the number of rows marked for deletion. Query performance is not materially impacted by delete marks.
To mitigate fragmentation, use the VACUUM command to manually clean up deleted rows.
When a FROM
clause is present, what essentially happens is that the target table is joined to the tables mentioned in the from_item
list, and each output row of the join represents an update operation for the target table. When using FROM
the join must produce at most one output row for each row to be modified. In other words, a target row shouldn’t join to more than one row from the other table(s).
Example with WHERE
The following example restocks product
for which quantity
is less than 10
:
UPDATE product SET quantity = quantity + 10 WHERE quantity < 10
Table before:
name | price | quantity |
---|---|---|
wand | 120 | 9 |
robe | 80 | 1 |
broomstick | 270 | 21 |
cauldron | 20 | 16 |
quill | 5 | 100 |
Table after:
name | price | quantity |
---|---|---|
wand | 120 | 19 |
robe | 80 | 11 |
broomstick | 270 | 21 |
cauldron | 20 | 16 |
quill | 5 | 100 |
Example updating multiple columns
This example applies a discount and updates the quantity of a specific product.
UPDATE product SET price = 15, quantity = 100 WHERE name = 'cauldron'
Table before:
name | price | quantity |
---|---|---|
wand | 120 | 9 |
broomstick | 270 | 21 |
robe | 80 | 1 |
cauldron | 20 | 16 |
quill | 5 | 100 |
Table after:
name | price | quantity |
---|---|---|
wand | 120 | 9 |
broomstick | 270 | 21 |
robe | 80 | 1 |
cauldron | 15 | 100 |
quill | 5 | 100 |
Example updating with FROM
This example updates available stock count.
UPDATE product AS p SET quantity = p.quantity - s.amount FROM sales AS s WHERE p.name = s.name
Table product
before:
name | price | quantity |
---|---|---|
wand | 120 | 9 |
broomstick | 270 | 21 |
robe | 80 | 1 |
cauldron | 20 | 16 |
quill | 5 | 100 |
Table sales
before:
name | amount |
---|---|
wand | 5 |
broomstick | 3 |
quill | 20 |
Table products
after:
name | price | quantity |
---|---|---|
wand | 120 | 4 |
broomstick | 270 | 18 |
robe | 80 | 1 |
cauldron | 20 | 16 |
quill | 5 | 80 |
Known limitations
Below are some known limitations of the UPDATE
command.
UPDATE
cannot be used on tables that have certain aggregating indexes An attempt to issue aUPDATE
statement on a table with a join index or aggregating index outside of the below defined will fail - these table level aggregating indexes need to be dropped first.UPDATE
can be used on tables that have aggregating indexes containing the following aggregating functions, starting in DB version 3.16.0: