Archives: FAQs

A: Streaming with SSE can minimize redundant API calls, reduce network load, and deliver real-time responses—super useful when you’re pushing frequent updates or handling many requests.

A: The blog covers both approaches: an async generator using await for delays (e.g., 1-second intervals) and a synchronous version. FastAPI supports both, though async scales better.

A: You’ll need FastAPI, Uvicorn (ASGI server), aiohttp for async HTTP work, and requests for testing the client-side streaming.

A: Yes! In this approach, each JSON object is sent on its own line using the application/x-ndjson media type, enabling clients to parse complete objects using readline() comfortably.

A: SSE allows the server to push real-time updates over a single persistent HTTP connection. It’s simpler to implement than WebSockets and more efficient than frequent polling, making it ideal for use cases like live notifications or streaming JSON updates.

A: Use layered organization: entity package: Define your model (e.g., Student.java) repository package: Extend CrudRepository interface service package: Define service layer interface and implementation controller package: Expose REST endpoints via @RestController

A: You’ll need: spring-boot-starter-web spring-boot-starter-data-jpa MySQL connector Lombok (for boilerplate reduction)

A: Use Spring Initializr to bootstrap the project, work within IntelliJ IDEA, and test endpoints using Postman.

A: Spring Boot simplifies setup by auto-configuring components and dependencies, letting you focus on building functionality—not plumbing.

Create → POST Read/Retrieve → GET Update → PUT Delete → DELETE These map directly to common database operations