I want to add a row to a database table, but if a row exists with the same unique key I want to update the row.
For example:
In case, you want to keep old field (For ex: name). The query will be:
INSERT INTO table (id, name, age) VALUES(1, "A", 19) ON DUPLICATE KEY UPDATE
name=name, age=19;
Just because I was here looking for this solution but for updating from another identically-structured table (in my case website test DB to live DB):
INSERT live-db.table1
SELECT *
FROM test-db.table1 t
ON DUPLICATE KEY UPDATE
ColToUpdate1 = t.ColToUpdate1,
ColToUpdate2 = t.ColToUpdate2,
...
As mentioned elsewhere, only the columns you want to update need to be included after ON DUPLICATE KEY UPDATE
.
No need to list the columns in the INSERT
or SELECT
, though I agree it's probably better practice.
In my case i created below queries but in the first query if id
1 is already exists and age is already there, after that if you create first query without age
than the value of age
will be none
REPLACE into table SET `id` = 1, `name` = 'A', `age` = 19
for avoiding above issue create query like below
INSERT INTO table SET `id` = '1', `name` = 'A', `age` = 19 ON DUPLICATE KEY UPDATE `id` = "1", `name` = "A",`age` = 19
may it will help you ...
When using SQLite:
REPLACE into table (id, name, age) values(1, "A", 19)
Provided that id
is the primary key. Or else it just inserts another row. See INSERT (SQLite).
Try this:
INSERT INTO table (id,name,age) VALUES('1','Mohammad','21') ON DUPLICATE KEY UPDATE name='Mohammad',age='21'
Note:
Here if id is the primary key then after first insertion with id='1'
every time attempt to insert id='1'
will update name and age and previous name age will change.