PostgreSQL
Key Features
Feature | Description |
---|---|
ACID Compliance | Strong transactional integrity with multi-version concurrency control (MVCC). |
Advanced Data Types | Built-in support for JSON , JSONB , ARRAY , UUID , HSTORE , etc. |
Full-Text Search | Powerful search capabilities natively supported, customizable ranking and dictionaries. |
CTEs & Window Functions | Common Table Expressions and advanced windowing operations out-of-the-box. |
Extensions | Supports extensions like PostGIS , pg_trgm , uuid-ossp . |
Concurrency & MVCC | Avoids locking via MVCC, enabling high performance in concurrent environments. |
Write-Ahead Logging (WAL) | Ensures data safety and replication consistency. |
Streaming Replication | Native replication support for HA/DR setups. |
Security & Roles | Role-based authentication, row-level security (RLS), SSL/TLS support. |
Procedural Languages | Write 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
, andDataTypes.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
, andfactory
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
andpg_stat_statements
for query optimization. - Add proper indexes for
JOIN
,WHERE
, andORDER 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.