Actix Web + PostgreSQL
High-performance Rust web framework with PostgreSQL.
Overview
Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust built on the Actor model. Originally created by Nikolay Kim in 2018, Actix Web has consistently ranked as one of the fastest web frameworks in any programming language, leveraging Rust's memory safety and zero-cost abstractions to deliver exceptional performance. The framework uses an actor-based architecture where each component operates as an independent actor, communicating through message passing, which naturally provides excellent concurrency and fault tolerance.
This stack combines Actix Web's blazing-fast HTTP handling capabilities with PostgreSQL's enterprise-grade database features, creating a high-performance backend solution optimized for demanding applications. Actix Web's async-first design pairs exceptionally well with PostgreSQL's robust connection pooling and transaction management, while libraries like SQLx provide compile-time checked queries that eliminate runtime SQL errors. The combination delivers both raw speed and data reliability, making it ideal for applications that cannot compromise on either performance or data integrity.
This configuration is perfect for Rust developers building production-grade APIs, financial technology platforms, IoT data collection systems, or any high-throughput application requiring guaranteed data consistency. Companies migrating from slower interpreted languages often choose this stack to achieve 10x+ performance improvements while maintaining PostgreSQL's proven reliability. The learning curve is steep due to Rust's ownership model, but the payoff includes memory safety, predictable performance, and significantly reduced infrastructure costs due to lower resource consumption.
Key Features
- Actor-based concurrency model enabling millions of concurrent connections with minimal resource overhead
- Compile-time SQL query validation through SQLx preventing runtime database errors
- Zero-copy request parsing and response generation for maximum throughput
- Built-in middleware ecosystem including authentication, CORS, logging, and request compression
- PostgreSQL's JSONB support for hybrid relational-document data models with full indexing
- Advanced connection pooling with configurable pool sizes and connection lifecycle management
- Hot-reloading development server with automatic restart on code changes
- Native support for HTTP/2, WebSockets, and Server-Sent Events
Common Use Cases
- 1High-frequency trading platforms requiring microsecond response times with ACID transaction guarantees
- 2IoT data ingestion APIs handling millions of sensor readings per minute
- 3Financial services backends processing payment transactions with strict data consistency requirements
- 4Real-time multiplayer game servers with persistent player data and leaderboards
- 5E-commerce platforms managing inventory, orders, and user sessions under heavy load
- 6Analytics APIs serving complex queries over large datasets with PostgreSQL's window functions
- 7Cryptocurrency exchanges requiring ultra-low latency order matching and trade execution
Prerequisites
- Rust development environment with Cargo package manager installed
- Minimum 2GB RAM (4GB+ recommended for PostgreSQL under load)
- Understanding of Rust ownership concepts and async/await programming model
- Familiarity with PostgreSQL schema design and query optimization
- Docker port 8080 available for Actix Web HTTP server
- Basic knowledge of Actor model patterns and message-driven architecture
For development & testing. Review security settings, change default credentials, and test thoroughly before production use. See Terms
docker-compose.yml
docker-compose.yml
1services: 2 actix: 3 build: .4 container_name: actix5 environment: 6 DATABASE_URL: postgres://${DB_USER}:${DB_PASSWORD}@postgres:5432/${DB_NAME}7 ports: 8 - "8080:8080"9 depends_on: 10 - postgres11 networks: 12 - actix-network1314 postgres: 15 image: postgres:16-alpine16 environment: 17 POSTGRES_DB: ${DB_NAME}18 POSTGRES_USER: ${DB_USER}19 POSTGRES_PASSWORD: ${DB_PASSWORD}20 volumes: 21 - postgres_data:/var/lib/postgresql/data22 networks: 23 - actix-network2425volumes: 26 postgres_data: 2728networks: 29 actix-network: 30 driver: bridge.env Template
.env
1DB_NAME=actix2DB_USER=actix3DB_PASSWORD=changemeUsage Notes
- 1Docs: https://actix.rs/docs/
- 2Access at http://localhost:8080
- 3One of the fastest web frameworks (any language)
- 4Actor model for concurrency
- 5Use SQLx for async database access
- 6Multi-stage Dockerfile: build with rust, run with minimal image
Individual Services(2 services)
Copy individual services to mix and match with your existing compose files.
actix
actix:
build: .
container_name: actix
environment:
DATABASE_URL: postgres://${DB_USER}:${DB_PASSWORD}@postgres:5432/${DB_NAME}
ports:
- "8080:8080"
depends_on:
- postgres
networks:
- actix-network
postgres
postgres:
image: postgres:16-alpine
environment:
POSTGRES_DB: ${DB_NAME}
POSTGRES_USER: ${DB_USER}
POSTGRES_PASSWORD: ${DB_PASSWORD}
volumes:
- postgres_data:/var/lib/postgresql/data
networks:
- actix-network
Quick Start
terminal
1# 1. Create the compose file2cat > docker-compose.yml << 'EOF'3services:4 actix:5 build: .6 container_name: actix7 environment:8 DATABASE_URL: postgres://${DB_USER}:${DB_PASSWORD}@postgres:5432/${DB_NAME}9 ports:10 - "8080:8080"11 depends_on:12 - postgres13 networks:14 - actix-network1516 postgres:17 image: postgres:16-alpine18 environment:19 POSTGRES_DB: ${DB_NAME}20 POSTGRES_USER: ${DB_USER}21 POSTGRES_PASSWORD: ${DB_PASSWORD}22 volumes:23 - postgres_data:/var/lib/postgresql/data24 networks:25 - actix-network2627volumes:28 postgres_data:2930networks:31 actix-network:32 driver: bridge33EOF3435# 2. Create the .env file36cat > .env << 'EOF'37DB_NAME=actix38DB_USER=actix39DB_PASSWORD=changeme40EOF4142# 3. Start the services43docker compose up -d4445# 4. View logs46docker compose logs -fOne-Liner
Run this command to download and set up the recipe in one step:
terminal
1curl -fsSL https://docker.recipes/api/recipes/actix-postgres/run | bashTroubleshooting
- Connection pool exhausted errors: Increase max_connections in PostgreSQL config and tune SQLx pool settings
- Cargo build failures with linking errors: Ensure PostgreSQL development headers are available in build container
- High memory usage during compilation: Use multi-stage Dockerfile with separate build and runtime images
- Database connection timeouts: Verify DATABASE_URL format and network connectivity between containers
- Actix runtime panics on heavy load: Tune worker thread counts and async task spawning limits
- SQLx migration failures: Check PostgreSQL user permissions and ensure database exists before running migrations
Community Notes
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