What is reactive programming?

Reactive programming is a programming paradigm focused on data streams and the propagation of change.

Core concepts:

• Data streams: Data sources (events, variables, API calls) are represented as streams that can be subscribed to and operated on.
• Change propagation: When a data source changes, the change automatically propagates through the stream, updating dependent components.
• Non-blocking: Operations on streams are performed asynchronously and do not block the main execution thread.
• Composition: Streams can be easily combined, transformed, and filtered to create complex logic from simple blocks.

Examples of usage:

• UI events (clicks, text input)
• Network requests
• Working with databases
• Processing streaming data (sensors, IoT)

Popular libraries and frameworks:

• RxJava (Java, Android)
• RxJS (JavaScript)
• Reactor (Java)
• Kotlin Coroutines Flow (Kotlin)

Advantages:

• Simplifies working with asynchronous operations.
• More concise and expressive code for event handling.
• Improves application responsiveness.
• Easier testing of data stream logic.

Disadvantages:

• High entry threshold.
• Complexity in debugging complex streams.
• Possible increase in memory consumption if used improperly.