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PostgreSQL

Key Features

FeatureDescription
ACID ComplianceStrong transactional integrity with multi-version concurrency control (MVCC).
Advanced Data TypesBuilt-in support for JSON, JSONB, ARRAY, UUID, HSTORE, etc.
Full-Text SearchPowerful search capabilities natively supported, customizable ranking and dictionaries.
CTEs & Window FunctionsCommon Table Expressions and advanced windowing operations out-of-the-box.
ExtensionsSupports extensions like PostGIS, pg_trgm, uuid-ossp.
Concurrency & MVCCAvoids locking via MVCC, enabling high performance in concurrent environments.
Write-Ahead Logging (WAL)Ensures data safety and replication consistency.
Streaming ReplicationNative replication support for HA/DR setups.
Security & RolesRole-based authentication, row-level security (RLS), SSL/TLS support.
Procedural LanguagesWrite functions in PL/pgSQL, Python, or others.

Connecting with Frameworks & ORMs

NestJS (with TypeORM)

npm install --save @nestjs/typeorm typeorm pg
app.module.ts
TypeOrmModule.forRoot({
type: "postgres",
host: "localhost",
port: 5432,
username: "postgres",
password: "password",
database: "your_db",
autoLoadEntities: true,
synchronize: true, // ⚠️ Disable in production
});

✅ Tip: Use @nestjs/config for environment-based configuration separation.

Prisma (Node.js)

npm install prisma --save-dev
npm install @prisma/client pg
npx prisma init
.env
DATABASE_URL="postgresql://postgres:password@localhost:5432/your_db"
prisma/schema.prisma
datasource db {
provider = "postgresql"
url = env("DATABASE_URL")
}

model User {
id Int @id @default(autoincrement())
name String
email String @unique
}

✅ Supports PostgreSQL-specific features like @db.Json, @db.Uuid, etc.

Sequelize (Node.js)

npm install sequelize pg pg-hstore
db.js
import { Sequelize } from "sequelize";

const sequelize = new Sequelize("your_db", "postgres", "password", {
host: "localhost",
dialect: "postgres",
});

export default sequelize;

✅ Sequelize supports array, JSONB, and UUID types via DataTypes.ARRAY, DataTypes.JSONB, and DataTypes.UUID.

Spring Boot (with Spring Data JPA)

pom.xml
<dependency>
<groupId>org.postgresql</groupId>
<artifactId>postgresql</artifactId>
<scope>runtime</scope>
</dependency>
application.yml
spring:
datasource:
url: jdbc:postgresql://localhost:5432/your_db
username: postgres
password: password
jpa:
hibernate:
ddl-auto: update
show-sql: true

✅ Tip: Use Hibernate dialects like org.hibernate.dialect.PostgreSQLDialect for better support.

Laravel (with Eloquent ORM)

DB_CONNECTION=pgsql
DB_HOST=127.0.0.1
DB_PORT=5432
DB_DATABASE=your_db
DB_USERNAME=postgres
DB_PASSWORD=password
config/database.php
'pgsql' => [
'driver' => 'pgsql',
'host' => env('DB_HOST', '127.0.0.1'),
...
],

✅ Tip: Use Laravel’s native migrate, seed, and factory system for full DB lifecycle automation.

Managing PostgreSQL with Docker

docker-compose.yml
version: "3.8"
services:
postgres:
image: postgres:15
container_name: postgres-db
restart: always
environment:
POSTGRES_DB: your_db
POSTGRES_USER: postgres
POSTGRES_PASSWORD: password
ports:
- "5432:5432"
volumes:
- pg_data:/var/lib/postgresql/data
networks:
- backend

volumes:
pg_data:

networks:
backend:
# Use psql
docker exec -it postgres psql -U myuser -d mydatabase
tip
  • Use healthchecks and secret mounts for prod readiness.
  • Try GUI tools like pgAdmin, DBeaver, or TablePlus.

Deploying PostgreSQL with Kubernetes

StatefulSet + PVC Example:

apiVersion: apps/v1
kind: StatefulSet
metadata:
name: postgres
spec:
serviceName: postgres
replicas: 1
selector:
matchLabels:
app: postgres
template:
metadata:
labels:
app: postgres
spec:
containers:
- name: postgres
image: postgres:15
ports:
- containerPort: 5432
env:
- name: POSTGRES_PASSWORD
valueFrom:
secretKeyRef:
name: postgres-secret
key: password
volumeMounts:
- name: postgres-pvc
mountPath: /var/lib/postgresql/data
volumeClaimTemplates:
- metadata:
name: postgres-pvc
spec:
accessModes: ["ReadWriteOnce"]
resources:
requests:
storage: 10Gi
tip
  • 🔐 Use Kubernetes Secrets for password management and ConfigMaps for tuning (postgresql.conf overrides).
  • 📦 Alternative: Use Bitnami Helm Chart for advanced production-ready deployment.

Best Practices

⚙️ Configuration & Performance

  • Enable shared_buffers, work_mem, effective_cache_size tuning.
  • Use EXPLAIN ANALYZE and pg_stat_statements for query optimization.
  • Add proper indexes for JOIN, WHERE, and ORDER BY fields.

🔐 Security

  • Enforce SSL/TLS and role-based access (REVOKE ALL, GRANT SELECT).
  • Enable Row-Level Security (RLS) when needed.
  • Regularly rotate credentials and access tokens.

📈 Scaling Strategy

  • Use read replicas for scaling reads.
  • Add connection pooling (e.g., PgBouncer).
  • Consider horizontal scaling with Citus for sharding if needed.

🧪 Dev Workflow

  • Use Testcontainers, Docker Compose, or local Kubernetes to simulate production.
  • Always track schema with migrations — Flyway, Liquibase, or ORM-native.
  • Split environments via .env, application.yml, or secrets manager.

🔧 Monitoring & Maintenance

  • Schedule backups (e.g., pg_dump, cron, or Velero).
  • Use Prometheus + Grafana or pgMonitor.
  • Watch for slow queries, connection leaks, bloat, and WAL segment overflows.

References