pro_mpack 3.0.0

A Dart library for serializing and deserializing data in the MessagePack format.

example/README.md

Examples Structure

This directory contains examples demonstrating how to use pro_mpack effectively in various scenarios.

1. Basic Usage

A simple overview showing how to use the core API:

• Simple Serialization: How to encode and decode standard types.
• Collections: Working with Lists and Maps.
• Reusable Instance: High-performance caching with a MessagePack instance.
• One-off Extensions: Using encodeExt and decodeExt for quick custom types without a registry.

2. Extensions in Depth

A focused example on how to build and register custom extensions for complex, nested data types and external classes:

• Polymorphic Extensions: How to register external types like BigInt which have internal implementations (_BigIntImpl).
• Nested Groups: Organizing relational structures (User, Address, Product) using registerGroup and subId to bypass the 256-ID limit.
• Type-Safe Collections: Decoding nested arrays of specific models efficiently using unpackArrayOf<T>() and unpackAs<T>().
• High Performance: Using the MessagePack instance for optimized O(1) extension lookups.

3. Advanced Network Streaming

A multi-file architectural example simulating a real-world IoT/Telemetry protocol:

• Custom Models: Encoding/decoding complex nested structures (TelemetryPacket, SensorData) using custom MessagePack extensions.
• Fragmentation Resilience: Proving that the streamDecoder can reconstruct nested packets from tiny network chunks (e.g. 5 bytes at a time) without extra allocations.
• Zero-Allocation: Uses streamDecoder to avoid GC overhead for incomplete packets.

4. File Streaming (Big Data)

A high-performance example demonstrating how to process large binary files:

• Real-world File Structure: Demonstrates how to write and parse files with custom headers (Magic Bytes, Version) and MessagePack metadata blocks.
• Incremental Processing: Using File.openRead() and streamDecoder to process data without loading the entire file into RAM.
• Market Data Simulation: Packing and parsing 500,000 trade records (Market Ticks) on-the-fly using Packer batching (takeBytes(dispose: false)).
• Memory Efficiency: Maintaining a constant memory footprint regardless of file size.

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How to Run

You can run any example directly using the Dart CLI:

# Run the basic overview
dart example/basic/main.dart

# Run the extensions example
dart example/extensions/main.dart

# Run the advanced telemetry simulation
dart example/network_streaming/main.dart

# Run the big data file streaming example
dart example/file_streaming/main.dart