SQL Update Query Example

SQL UPDATE Query is used to update / modify the existing records in any SQL table. You can use the WHERE clause (if you want to update any specific record) with the UPDATE , if there is no Where Clause specified then all the rows would be affected.

UPDATE sqlTablename
SET column1 = value1,
    column2 = value2
WHERE [condition];

Let’s assume we have some customer data in below customer table, and we want to update one particular record

tbCustomer
--+----+----------+-----+-----------+----------+-------
| Id | Name     | Code |   City         |   Mobile    |
+----+----------+-----+-----------+----------+---------
|  1 | Ajit     |  0112 | Mumbai        |  9819014758 |
|  2 | Ropesh   |  0247 | Delhi         |  7852147458 |
|  3 | Aniket   |  0142 | Kolkata       |  8852414758 |
|  4 | Brinda   |  0235 | Pune          |  9952504758 |
|  5 | Aman     |  0478 | Raipur        |  9652114758 |
|  6 | Kajal    |  0268 | Goa           |  9452565758 |
|  7 | Purnendu |  1403 | Bangalore     |  9652727538 |
+----+----------+-----+-----------+----------+--------

Now we write a query to update mobile number of a particular customer.
let's look at the query.

Update tbCustomer
set Mobile='8054069773'
where Code=0112

After executing the above query, if you again check the data in table, you will see one record has been updated

tbCustomer
--+----+----------+-----+-----------+----------+-----
| Id | Name     | Code |   City   |       Mobile   |
+----+----------+-----+-----------+----------+------
|  1 | Ajit     |  0112 | Mumbai        |  8054069773 |
|  2 | Ropesh   |  0247 | Delhi         |  7852014758 |
|  3 | Aniket   |  0142 | Kolkata       |  8852104758 |
|  4 | Brinda   |  0235 | Pune          |  9954254758 |
|  5 | Aman     |  0478 | Raipur        |  9652014758 |
|  6 | Kajal    |  0268 | Goa           |  9452605758 |
|  7 | Purnendu |  1403 | Bangalore     |  9652720758 |
+----+----------+-----+-----------+----------+--------

Note: if you don’t specify where clause all the data in that table will be updated, so be careful before executing any update statement in SQL