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Developing an API with Express and Postgres


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Table of contents

Express is frequently used to create APIs in Node.js applications; these can be a middleware for a more traditional backend or an interface for the classic CRUD operations. In this post, we'll build an API to perform CRUD operations on a Postgres database. We'll explore patterns to organize routes, add support for hot-reloading and inject environment variables locally.


You can pick the Node.js application created in the post Linting with TypeScript ESLint to follow this post.

Enable hot-reloading

It is cumbersome to manually restart the application every time we make a change in the source code. This can be automated by nodemon.

yarn add -D nodemon

To ensure that the old files are not getting cached, we can delete the dist directory before every rebuild (through shx). To run multiple node scripts conveniently, we can use npm-run-all.

yarn add -D shx npm-run-all

Edit the scripts in package.json as follows.

"build": "npm-run-all build:*",
"build:clean": "shx rm -rf dist",
"build:lint": "eslint src/**/* --fix",
"build:compile": "tsc",
"watch": "nodemon --watch src -e ts --exec npm run serve",
"serve": "npm-run-all build start",
"start": "node ."

Launch the application with yarn watch and nodemon will watch for any changes in a ts file and launch the serve script.

Environment variables for local development

To avoid hardcoding variables and secrets (e.g., database credentials, access tokens, etc), they can be configured through the environment variables on a machine. For local development, such variables can be injected through dotenv.

Add the dependency for dotenv using the following command.

yarn add dotenv

Create a .env file in the project root and add the following content.

MORGAN_LOG_FMT=[:date[iso]] :method :url :status :response-time ms - :res[content-length]

Edit src/configuration/environment.ts to initialize dotenv.

// src/configuration/environment.ts

import dotenv from 'dotenv';

// fetch .env configuration

export const environment = {
  nodeEnv: process.env.ENV || process.env.NODE_ENV,
  logDir: process.env.LOG_DIR || 'logs',
  logLevel: process.env.LOG_LEVEL || 'info',
  logFile: process.env.LOG_FILE || 'app.log',
  requestLogFile: process.env.MORGAN_LOG || 'requests.log',
  requestLogFormat: process.env.MORGAN_LOG_FMT || 'combined',
  requestLogRollingInterval: process.env.MORGAN_LOG_ROLLING_INTERVAL || '1d',
  serverPort: Number(process.env.SERVER_PORT) || 8080

Refactor src/server.ts to use serverPort.

// src/server.ts

import express from 'express';
import { environment } from './configuration/environment';
import { registerRequestLogger } from './helper/request.logger';
import { logger } from './helper/default.logger';

const app = express();
const port = environment.serverPort; // server port
// register morgan

// default route
app.get('/', (req, res) => res.json({
  message: 'Hello World!'

// server
app.listen(port, () => logger.info(`Server started at http://localhost:${port}, Press CTRL+C to stop it`));

Info Make sure to add .env file in the .gitignore since it is meant only for the local development.

Configure Postgres

Start a Postgres instance in a Docker container using the following docker-compose.yml.

version: "3.1"

    image: postgres:alpine
    container_name: postgres_latest
    restart: always
      - 5432:5432
      POSTGRES_PASSWORD: example

Execute docker-compose up -d to launch the stack.

We'll build a simple music catalog system with APIs to

  • add, modify or remove songs
  • search the songs by title, album or artist

Create a table

Create a table named song and add some sample data in it.

  title TEXT NOT NULL,
  album TEXT,
  artist TEXT

INSERT INTO song(title, album, artist) VALUES ('Too Much', 'Dedicated', 'Carly Rae Jepsen');
INSERT INTO song(title, album, artist) VALUES ('Insomnia', 'D2', 'Daya');
INSERT INTO song(title, album, artist) VALUES ('Issues', 'Nervous System', 'Julia Michaels');

Info The SERIAL type will automatically generate an incremented id in Postgres.

Create a Repository

Add pg to communicate with Postgres, along with its type definitions.

yarn add pg
yarn add -D @types/pg

Provide the database configurations required by pg in .env file as follows.


Read these configurations in the src/configuration/environment.ts.

// src/configuration/environment.ts

export const environment = {
  pgUser: process.env.PGUSER,
  pgHost: process.env.PGHOST,
  pgPassword: process.env.PGPASSWORD,
  pgDatabase: process.env.PGDATABASE,
  pgPort: Number(process.env.PGPORT),
  // Other configurations

Create a file src/model/song.ts and define an interface for a song. This will serve as a model.

// src/model/song.ts

export interface Song {
  id?: string;
  title: string;
  album: string;
  artist: string;

Create a file src/repository/song.ts and add the following code.

// src/repository/song.ts

import { Pool } from 'pg';
import { Song } from '../model/song';
import { logger } from '../helper/default.logger';

export class SongRepository {
  private pool: Pool;

  constructor() {
    this.pool = new Pool();

  async getAll() {
    logger.info('Fetching all songs...');
    const result = await this.pool.query('SELECT id, title, album, artist FROM song');
    return result.rows;

  async getById(id: string) {
    logger.info('Fetching all songs...');
    const result = await this.pool.query(`SELECT id, title, album, artist FROM song WHERE id = '${id}'`);
    return result.rows;

  async search(keyword: string) {
    logger.info(`Searching for ${keyword}...`);
    const result = await this.pool.query(`SELECT id, title, album, artist FROM song WHERE title LIKE '%${keyword}%' OR album LIKE '%${keyword}%' OR artist LIKE '%${keyword}%'`);
    return result.rows;

  async save(song: Song) {
    const client = await this.pool.connect();
    try {
      const result = await client.query(
        `INSERT INTO song(title, album, artist) VALUES ('${song.title}', '${song.album}', '${song.artist}') ON CONFLICT (id) DO UPDATE SET title = '${song.title}', album = '${song.album}', artist = '${song.artist}'`
      await client.query('COMMIT');
      logger.info('Song saved...');
      return result.rows;
    } catch (e) {
      await client.query('ROLLBACK');
      logger.info('Failed saving the song. Transaction rolled back...');
      throw e;
    } finally {

  async remove(id: string) {
    logger.info('Deleting a song...');
    const result = await this.pool.query(`DELETE FROM song WHERE id = '${id}'`);
    return result.rows;

In the SongRepository class, a connection pool (Pool) provided by pg is used to execute the queries asynchronously. This connection pool returns a Promise. For more control over a transaction, a client has been used in save method where a transaction is being rolled back in case something goes wrong.

Configure the endpoints

To configure the endpoints, create a file src/api/song.ts and add the following code.

// src/api/song.ts

import { Application } from 'express';
import { SongRepository } from '../repository/song';

const context = '/song';
const repository = new SongRepository();

export const registerSongEndpoints = (app: Application) => {
  app.get(context, (req, res) => {
      .then(results => res.json({ results: results }))
      .catch(error => res.status(500).json({ error: error }));

  app.put(context, (req, res) => {
    if (req.body && req.body.title && req.body.album && req.body.artist) {
      const song = {
        title: req.body.title,
        album: req.body.album,
        artist: req.body.artist
        .then(result => res.json({ message: `Saved ${song.title}` }))
        .catch(error => res.status(500).json({ error: error }));
    } else {
      res.status(400).json({ error: 'Invalid request body' });

  // Other endpoints

A typical endpoint calls a repository method and returns a success message or result. In case of an error, the error or an error message is returned in the response.

Import these endpoints in a src/api/index.ts file as follows.

// src/api/index.ts

import { Application } from 'express';
import { registerSongEndpoints } from './song';

export const registerEndpoints = (app: Application) => {

  // Other endpoint registerations

To parse the request body, add body-parser as a dependency.

yarn add body-parser

Register body-parser and the endpoints in src/server.ts.

// src/server.ts

import express from 'express';
import bodyParser from 'body-parser';import { registerEndpoints } from './api';
// Other imports...

const app = express();
const port = environment.serverPort; // server port
app.use(bodyParser.json()); // body parser to read request body
// register morgan

// register all endpoints

// server
app.listen(port, () => logger.info(`Server started at http://localhost:${port}, Press CTRL+C to stop it`));

Test the API

Build the app by yarn build and launch it with yarn start. Use the following curl requests to verify the API.

curl --request GET 'http://localhost:8080/song'

curl --request GET 'http://localhost:8080/song/search?q=Carly'

curl --request GET 'http://localhost:8080/song/search?q=Nervous'

curl --request GET 'http://localhost:8080/song/search?q=D2'

curl --request PUT http://localhost:8080/song \
  -H 'Content-Type: application/json' \
  -d '{
    "title": "brand new eyes",
    "album": "Wonder",
    "artist": "Sandra Dassault"

curl --request PATCH http://localhost:8080/song \
  -H 'Content-Type: application/json' \
  -d '{
    "id": "4",
    "artist": "Bea Miller"

curl --request DELETE http://localhost:8080/song \
  -H 'Content-Type: application/json' \
  -d '{
    "id": "4"


Source codeexpress-postgres-api