reactor/reactor

Features

• Reactive Network Services - Implements high-performance TCP, UDP, QUIC, and HTTP servers and clients using reactive stream patterns.
• Reactive Stream Libraries - Provides a comprehensive framework for building asynchronous data pipelines using composable operators and non-blocking backpressure.
• Demand-Driven Backpressure - Implements the Reactive Streams specification where subscribers explicitly signal the number of elements they can process.
• Reactive - Implements non-blocking communication for TCP, UDP, and QUIC protocols using reactive stream patterns.
• TCP and UDP Socket Interfaces - Provides programming interfaces for managing both reliable TCP stream connections and connectionless UDP datagrams.
• Stream Combinators - Provides operators for merging, concatenating, and zipping multiple asynchronous streams based on timing or order.
• Asynchronous Value Representations - Provides asynchronous value representations for handling operations that emit exactly one item or an error.
• Execution Context Decoupling - Decouples asynchronous task logic from their execution thread-pool through a scheduler registry.
• Operator-Based Stream Composition - Builds asynchronous data processing chains by wrapping publishers in composable functional operators.
• Asynchronous Event Loops - Manages non-blocking I/O operations through an event-driven execution model to coordinate concurrency.
• Monadic Async Types - Represents asynchronous sequences and single values as distinct types that encapsulate completion and error signals.
• Backpressure Management - Regulates data flow between producers and consumers to prevent resource exhaustion and system overload.
• Compositional Stream Pipelines - Builds asynchronous data pipelines by composing reusable sources, pipes, and sinks.
• Scheduler-Based Concurrency Models - Decouples observable logic from execution contexts, controlling timing and parallelism via pluggable schedulers.
• Deferred Publisher Creation - Implements patterns to postpone the instantiation of a data publisher until a subscription is requested.
• Reactive Error Recovery Strategies - Implements reactive error recovery strategies including fallbacks and retry policies with exponential backoff.
• Execution Schedulers - Uses abstractions to decouple the timing and threading of event delivery from the main thread.
• Compositional Streaming Pipelines - Implements compositional streaming pipelines that fuse producers, sinks, and conduits for asynchronous data processing.
• Stream Transformation Operators - Ships functional operators to filter, map, flatten, or aggregate items within reactive data streams.
• Reactive Sequence Filtering - Excludes data based on predicates or duplicates and restricts sequences using sampling and skipping.
• Reactive Sequence Generation - Generates asynchronous event streams from constants, collections, ranges, or programmatic generators.
• Reactive Value Emissions - Provides the core mechanism for producing sequences of zero to many elements ending with a success or error signal.
• Reactive Stream Adaptation - Converts legacy callback APIs and various publisher types into a standardized reactive stream specification.
• Reactive Endpoints - Creates reactive HTTP and WebSocket endpoints with integrated support for compression, logging, and tracing.
• Context Propagation - Implements mechanisms for capturing and transferring request-scoped data across asynchronous execution boundaries.
• Delayed Task Scheduling - Postpones the delivery of a value by a specific duration using a scheduler before completing the sequence.
• Reactive Stream Buffers - Collects emissions into batches, enabling downstream consumers to control flow without dropping data.
• Network Service Frameworks - Provides a foundational framework for building high-performance network clients and servers using various transport protocols.
• WebSocket Connection Management - Establishes and manages live bidirectional WebSocket connections using reactive abstractions for real-time data exchange.
• Asynchronous Metadata Propagation - Provides mechanisms for propagating telemetry and logging metadata across asynchronous boundaries in reactive pipelines.
• Reactive API Bridging - Converts legacy callback and listener patterns into standardized reactive stream publishers.
• Asynchronous Resource Management - Controls the lifecycle of network connections and execution threads to optimize system throughput.
• Asynchronous-to-Synchronous Conversion - Includes mechanisms to block execution and extract asynchronous values as synchronous objects or iterables.
• Stream Windowing - Segments continuous asynchronous data streams into smaller sub-sequences based on size, time, or predicates.
• Multicast Stream Sharing - Shares a single asynchronous data source among multiple subscribers using hot or cold delivery strategies.
• Event-Loop Resource Pooling - Optimizes network throughput by managing the lifecycle and pooling of non-blocking event loop threads.
• Reactive Value Combinations - Combines multiple reactive values from different sources using combinator functions to create derived state.
• Network Connection Lifecycles - Coordinates network connection lifecycles and resource cleanup to increase overall system throughput.
• Resource Pool Management - Manages reusable collections of network resources and event-loop threads to optimize hardware utilization.
• Sequence Buffering - Groups stream elements into collections based on size, time duration, or boundary signals.
• Traversal Side Effects - Executes logging, tracing, or piping operations during sequence traversal without modifying the underlying data.
• Stream Emission Timing Control - Regulates emission timing through delays, periodic ticks, and timeouts to manage production rates.
• Reactive Stream Testing - Verifies the behavior, timing, and signal sequences of reactive publishers and subscribers using specialized tools.
• Reactive Programming - Framework for building non-blocking applications on the JVM.

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