[Edit]

Node.js - PostgreSQL AVG()

1 contributors

2 contributions

0 discussions

0 points

Created by:

Brian-Tompset

491

In this article, we would like to show you how to use SQL AVG() function in Node.js.

Note: at the end of this article you can find database preparation SQL queries.

Example 1

Edit

xxxxxxxxxx
 
const { Client } = require('pg');
​
const client = new Client({
    host: '127.0.0.1',
    user: 'postgres',
    database: 'database_name',
    password: 'password',
    port: 5432,
});
​
const execute = async (query) => {
    try {
        await client.connect();                     // gets connection
        const { rows } = await client.query(query); // sends query
        console.log(rows);
    } catch (error) {
        console.error(error.stack);
    } finally {
        await client.end();                         // closes connection
    }
};
​
execute('SELECT AVG("salary") FROM "users"');

Output:

xxxxxxxxxx
 
[ { 'AVG(`salary`)': 3631.25 } ]

Example 2

Edit

xxxxxxxxxx
 
const { Client } = require('pg');
​
const client = new Client({
    host: '127.0.0.1',
    user: 'postgres',
    database: 'dirask',
    password: 'password',
    port: 5432,
});
​
const execute = async (query) => {
    try {
        await client.connect();                     // gets connection
        const { rows } = await client.query(query); // sends queries
        console.table(rows);
    } catch (error) {
        console.error(error.stack);
    } finally {
        await client.end();                         // closes connection
    }
};
​
const text = `SELECT * FROM "users" 
              WHERE "salary" < (SELECT AVG("salary") FROM "users")`;
​
execute(text);

Output:

xxxxxxxxxx
 
┌─────────┬────┬──────────┬────────────┬───────────────┬───────────┐
│ (index) │ id │   name   │  surname   │ department_id │  salary   │
├─────────┼────┼──────────┼────────────┼───────────────┼───────────┤
│    0    │ 1  │  'John'  │ 'Stewart'  │       1       │ '3512.00' │
│    1    │ 2  │ 'Chris'  │  'Brown'   │       2       │ '1344.00' │
│    2    │ 6  │ 'Simon'  │ 'Collins'  │       4       │ '3320.00' │
│    3    │ 7  │ 'Taylor' │  'Martin'  │       2       │ '1500.00' │
│    4    │ 8  │ 'Andrew' │ 'Thompson' │     null      │ '2100.00' │
└─────────┴────┴──────────┴────────────┴───────────────┴───────────┘

Database preparation

Edit

create_tables.sql file:

xxxxxxxxxx
 
CREATE TABLE "users" (
    "id" SERIAL,
    "name" VARCHAR(50) NOT NULL,
    "surname" VARCHAR(50) NOT NULL,
    "department_id" INTEGER,
    "salary" DECIMAL(15,2) NOT NULL,
    PRIMARY KEY ("id")
);

insert_data.sql file:

xxxxxxxxxx
 
INSERT INTO "users"
    ( "name", "surname", "department_id", "salary")
VALUES
    ('John', 'Stewart', 1, '3512.00'),
    ('Chris', 'Brown', 2, '1344.00'),
    ('Kate', 'Lewis', 3, '6574.00'),
    ('Ailisa', 'Gomez', NULL, '6500.00'),
    ('Gwendolyn', 'James', 2, '4200.00'),
    ('Simon', 'Collins', 4, '3320.00'),
    ('Taylor', 'Martin', 2, '1500.00'),
    ('Andrew', 'Thompson', NULL, '2100.00');