You have a requirement to implement real-time data processing with a non-blocking approach in your Spring Boot application. How would you implement this using Reactive Programming paradigms, and what considerations would you have?
- Implement synchronous REST endpoints and use a polling mechanism to periodically check for updates in the data.
- Utilize Reactive Streams and tools like Project Reactor to handle real-time data streams. Implement WebSocket endpoints for bidirectional communication and consider backpressure handling to ensure system stability.
- Use traditional JDBC for database access and periodically fetch data from the database in a blocking manner.
- Implement asynchronous tasks using Java threads and ExecutorService to process real-time data.
To implement real-time data processing with a non-blocking approach in a Spring Boot application, Option 2 is the correct choice. It suggests utilizing Reactive Streams and tools like Project Reactor to handle real-time data streams, along with WebSocket endpoints for bidirectional communication. Backpressure handling is crucial for managing data flow and system stability. Options 1, 3, and 4 do not align with the non-blocking, real-time requirements.
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