MySQL provides the REPLACE string function which allows you to replace substrings in a string column. There is a REPLACE statement which works differently, so it is worth noting this is the REPLACE string function. In this article, we will learn how to use REPLACE in MySQL.
The basic syntax of a REPLACE is as follows:
UPDATE
SET REPLACE(column_name, old_string, new_string)
WHERE [conditions];
We will be using docker in this article, but feel free to install your database locally instead. Once you have docker installed, create a new file called docker-compose.yml
and add the following.
version: '3'
services:
db:
image: mysql:latest
container_name: db
environment:
MYSQL_ROOT_PASSWORD: root_pass
MYSQL_DATABASE: app_db
MYSQL_USER: db_user
MYSQL_PASSWORD: db_user_pass
ports:
- "6033:3306"
volumes:
- dbdata:/var/lib/mysql
phpmyadmin:
image: phpmyadmin/phpmyadmin
container_name: pma
links:
- db
environment:
PMA_HOST: db
PMA_PORT: 3306
PMA_ARBITRARY: 1
restart: always
ports:
- 8081:80
volumes:
dbdata:
Next, run docker-compose up
.
Now, navigate to http://localhost:8081/
to access phpMyAdmin. Then log in with the username root
and pass root_pass
.
Click the SQL tab and you are ready to go.
In this article, we will need some data to work with. We will be using the sample db provided here: https://dev.mysql.com/doc/employee/en/. However, we will only enter what we need rather than import the whole db.
With the SQL tab open (or your own sql cli going), let's first create our DB and select it.
create DATABASE if not EXISTS sakila;
USE sakila;
CREATE TABLE employees (
emp_no INT NOT NULL,
birth_date DATE NOT NULL,
first_name VARCHAR(14) NOT NULL,
last_name VARCHAR(16) NOT NULL,
gender VARCHAR(16) NOT NULL,
hire_date DATE NOT NULL,
PRIMARY KEY (emp_no)
);
Now, let's enter a few rows
INSERT INTO employees VALUES
(10001,'1953-09-02','Georgi','Facello','M','1986-06-26'),
(10002,'1964-06-02','Bezalel','Simmel','F','1985-11-21'),
(10003,'1959-12-03','Parto','Bamford','M','1986-08-28'),
(10004,'1954-05-01','Chirstian','Koblick','M','1986-12-01'),
(10005,'1955-01-21','Kyoichi','Maliniak','M','1989-09-12');
Now that we are set up, let's update all 'M' strings in the gender
with 'Male'.
UPDATE employees
SET
gender = REPLACE(
gender,
'M',
'Male'
);
Now, let's see our results.
select * from employees;
emp_no | birth_date | first_name | last_name | gender | hire_date |
---|---|---|---|---|---|
10001 | 1953-09-02 | Georgi | Facello | Male | 1986-06-26 |
10002 | 1964-06-02 | Bezalel | Simmel | F | 1985-11-21 |
10003 | 1959-12-03 | Parto | Bamford | Male | 1986-08-28 |
10004 | 1954-05-01 | Chirstian | Koblick | Male | 1986-12-01 |
10005 | 1955-01-21 | Kyoichi | Maliniak | Male | 1989-09-12 |