The SELECT clause is the main entry to sql. The command allows us to query data from our SQL database. In this article, we will learn how to use Postgres Select.
For our setup, we will use docker compose to create a Postgres database and to connect phpmyadmin. Start by copying the following into a docker compose file called docker-compose.yml
version: '3'
services:
db:
image: 'postgres:latest'
ports:
- 5432:5432
environment:
POSTGRES_USER: username
POSTGRES_PASSWORD: password
POSTGRES_DB: default_database
volumes:
- psqldata:/var/lib/postgresql
phpmyadmin:
image: phpmyadmin/phpmyadmin
links:
- db
environment:
PMA_HOST: db
PMA_PORT: 3306
PMA_ARBITRARY: 1
restart: always
ports:
- 8081:80
volumes:
psqldata:
We can run this file, we can use docker-compose up
. One this is done, open up phpmyadmin by going to http://localhost:8081.
You can then login by leaving the host empty and using the following credentials.
POSTGRES_USER: username
POSTGRES_PASSWORD: password
In this article, we will need some data to work with. If you don't understand these commands, don't worry, we will cover them in later articles.
We will be using the sample db provided here: https://dev.mysql.com/doc/sakila/en/. However, we will only enter what we need rather than import the whole db.
Next, let's create an actor
table.
CREATE TABLE actor (
actor_id smallint,
first_name VARCHAR(45) NOT NULL,
last_name VARCHAR(45) NOT NULL,
last_update TIMESTAMP(0) NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (actor_id)
) ;
And finally, let's enter a few rows.
INSERT INTO actor VALUES
(1,'PENELOPE','GUINESS','2006-02-15 04:34:33'),
(2,'NICK','WAHLBERG','2006-02-15 04:34:33'),
(3,'ED','CHASE','2006-02-15 04:34:33'),
(4,'JENNIFER','DAVIS','2006-02-15 04:34:33'),
(5,'JOHNNY','LOLLOBRIGIDA','2006-02-15 04:34:33'),
(6,'BETTE','NICHOLSON','2006-02-15 04:34:33'),
(7,'GRACE','MOSTEL','2006-02-15 04:34:33'),
(8,'MATTHEW','JOHANSSON','2006-02-15 04:34:33')
The basic sql structure as the following pattern.
SELECT * FROM actor
And the result is as follows:
first_name | last_name | actor_id | last_update |
---|---|---|---|
1 | PENELOPE | GUINESS | 2006-02-15 04:34:33 |
2 | NICK | WAHLBERG | 2006-02-15 04:34:33 |
3 | ED | CHASE | 2006-02-15 04:34:33 |
4 | JENNIFER | DAVIS | 2006-02-15 04:34:33 |
5 | JOHNNY | LOLLOBRIGIDA | 2006-02-15 04:34:33 |
6 | BETTE | NICHOLSON | 2006-02-15 04:34:33 |
7 | GRACE | MOSTEL | 2006-02-15 04:34:33 |
8 | MATTHEW | JOHANSSON | 2006-02-15 04:34:33 |
Here we say select all (*) from the actor table. This will return a table of actors with all columns. Depending on your SQL environment, the results my be limited to prevent loading too much data.
We don't always need all of the columns. We can save some resources by specifying the columns instead. Let's modify our select query to do the following.
SELECT first_name, last_name FROM actor
The result is as follows.
first_name | last_name |
---|---|
PENELOPE | GUINESS |
NICK | WAHLBERG |
ED | CHASE |
JENNIFER | DAVIS |
JOHNNY | LOLLOBRIGIDA |
BETTE | NICHOLSON |
GRACE | MOSTEL |
MATTHEW | JOHANSSON |