d_bincode 3.2.0

A performant Dart implementation of the Bincode binary serialization format. Requires manual implementation for encoding/decoding custom types.

d_bincode

A Dart implementation of the Bincode binary serialization format. Designed for efficient, compact, and cross-language data serialization, particularly suitable for Inter-Process Communication (IPC) (my last use case), network protocols, and configuration storage where performance and size matter.

IMPORTANT: Currently only fixed int encoding/decoding supported in 2.x of rust bincode.

let config = config::standard().with_fixed_int_encoding(); // <<< this is key in 2.x

Dart implementation of the Bincode binary format. Manual BincodeCodable implementation is currently required, providing control but demanding more setup. You can use the Rust to Dart Bincode Converter for simple Structs. It creates an dart class with BincodeCodable implemented, toString and empty constructor.

Features

• Core Bincode Types: Supports encoding and decoding of:
  • Integers (u8, u16, u32, u64, i8, i16, i32, i64)
  • Floats (f32, f64)
  • Booleans (bool)
  • UTF-8 Strings (dynamic length)
  • Fixed-length Strings (with truncation/padding)
• Collections:
  • Lists (List<T>) / Vectors (Vec<T>)
  • Maps (Map<K, V>)
  • Efficient typed lists (Uint8List, Int8List, Uint16List, etc., Float32List, Float64List)
• Options: Handles nullable types (T?) using Bincode's Option<T> representation.
• Custom Types: Easily serialize custom classes by implementing the BincodeCodable interface.
• Nested Structures: Supports arbitrarily nested complex objects, including combinations of lists, maps, and custom types.
• Utilities:
  • BincodeWriter for encoding data with buffer management (reserve, reset).
  • BincodeReader for decoding data with cursor control (seek, rewind, skip, align, peek).
  • Helper functions for common tasks (encodeToBytes, decode, isValidBincode, measure, toHex, encodeToBase64, stripNulls).
  • Support for IOSink and file operations (encodeToSink, encodeToFileSync).
• Alignment: Handles data alignment considerations.
• Robustness: Includes checks for available bytes and validation capabilities.

• [BitMask]: Utility for managing 8 boolean flags packed into a single byte.
• [BincodeWriterPool]: Optimizes high-frequency serialization by reusing BincodeWriter instances.

Installation

Add d_bincode to your pubspec.yaml:

dependencies:
  d_bincode: ^3.2.0

Or install using the command line:

dart pub add d_bincode

Usage

1. Define Your Data Structure

Implement the BincodeCodable interface for any custom class you want to both serialize/deserialize (<->).

Implement the BincodeDecodable interface for any custom class you want to deserialize (<-).

Implement the BincodeEncodable interface for any custom class you want to serialize (->).

import 'package:d_bincode/d_bincode.dart';

class ExampleData implements BincodeCodable {
  int id;
  double value;
  String label;

  ExampleData(this.id, this.value, this.label);

  ExampleData.empty()
      : id = 0,
        value = 0.0,
        label = '';

  // Encode fields in order
  @override
  void encode(BincodeWriter writer) {
    writer
      ..writeU32(id)       // u32
      ..writeF32(value)    // f32
      ..writeFixedString(label, 8); //fixed 8-byte string (padded/truncated)
  }

  // Decode fields in the same order
  @override
  void decode(BincodeReader reader) {
    id = reader.readU32();
    value = reader.readF32();
    // cleans null padding
    label = reader.readCleanFixedString(8);
  }

  @override
  String toString() => 'ExampleData(id: $id, value: $value, label: "$label")';
}

2. Encoding (Serialization)

Use BincodeWriter to encode your object into bytes.

final data = ExampleData(123, 1.5, 'Test');

// Method 1: Using an instance
final writer = BincodeWriter();
data.encode(writer); // Call the encode method you defined
final Uint8List encodedBytes = writer.toBytes();
print('Encoded: $encodedBytes'); // Output: e.g., [123, 0, 0, 0, 0, 0, 192, 63, 84, 101, 115, 116, 0, 0, 0, 0]

// Method 2: Using the static helper
final Uint8List encodedBytesStatic = BincodeWriter.encode(data);
print('Static Encoded: $encodedBytesStatic');

// Method 3: Using the convenience method on writer
final Uint8List encodedBytesConvenience = BincodeWriter().encodeToBytes(data);
print('Convenience Encoded: $encodedBytesConvenience');

3. Decoding (Deserialization)

Use BincodeReader to decode bytes back into your object.

//  'encodedBytes' holds the bytes of a Struct like ExampleData

// Method 1: Using an instance
final reader = BincodeReader(encodedBytes);
final decodedData = ExampleData.empty(); // Create an empty instance
decodedData.decode(reader); // Call the decode method
print('Decoded: $decodedData'); // Output: ExampleData(id: 123, value: 1.5, label: "Test")

// Method 2: Using the static helper (for fixed-size or known types)
// Note: Use decodeFixed for simple, fixed-layout objects if applicable.
// Use decode for objects containing dynamic data like strings/lists.
try {
  // For simple fixed-layout data:
  // final decodedFixed = BincodeReader.decodeFixed(encodedBytes, ExampleData.empty());
  // print('Static Decoded Fixed: $decodedFixed');

  // For data containing dynamic parts (like strings, lists, maps):
  final decodedDynamic = BincodeReader.decode(encodedBytes, ExampleData.empty());
  print('Static Decoded Dynamic: $decodedDynamic');
} catch (e) {
  print('Decoding failed: $e');
}

Supported Types and Methods

Type	Writer Method(s)	Reader Method(s)	Notes
int (u8)	writeU8	readU8	8-bit unsigned integer
int (u16)	writeU16	readU16	16-bit unsigned integer (Little Endian)
int (u32)	writeU32	readU32	32-bit unsigned integer (Little Endian)
int (u64)	writeU64	readU64	64-bit unsigned integer (Little Endian)
int (i8)	writeI8	readI8	8-bit signed integer
int (i16)	writeI16	readI16	16-bit signed integer (Little Endian)
int (i32)	writeI32	readI32	32-bit signed integer (Little Endian)
int (i64)	writeI64	readI64	64-bit signed integer (Little Endian)
double (f32)	writeF32	readF32	32-bit float (IEEE 754, Little Endian)
double (f64)	writeF64	readF64	64-bit float (IEEE 754, Little Endian)
bool	writeBool	readBool	1 for true, 0 for false
String (char)	writeChar(char)	readChar()	Single Unicode char (rune as u32 - Bincode v1/legacy)
String	writeString	readString	UTF-8, length-prefixed (u64)
String (fixed)	writeFixedString(value, len)	readFixedString(len), readCleanFixedString(len)	Fixed byte length, padded/truncated
T? (Option<T>)	writeOption<Type>, writeOptionBool, etc.	readOption<Type>, readOptionBool, etc.	0 tag for None, 1 tag + value for Some
String? (optional char)	writeOptionChar(char)	readOptionChar()	Option<char>: tag (u8) + char (u32) if Some
List<T>	writeList(list, elementWriter)	readList(elementReader)	Vec<T>: Length-prefixed (u64) + elements
List<T> (fixed array)	writeFixedArray(list, len, elementWriter)	readFixedArray(len, elementReader)	[T; N]: Fixed size, no length prefix
Set<T>	writeSet(set, elementWriter)	readSet(elementReader)	Like Vec<T>: length-prefixed (u64) + elements
Map<K, V>	writeMap(map, keyWriter, valueWriter)	readMap(keyReader, valueReader)	Length-prefixed (u64) + key/value pairs
Uint8List	writeUint8List, writeBytes	readUint8List, readBytes(len), readRawBytes(len)	Length-prefixed (u64) or raw bytes
Integer TypedData	writeInt8List, writeUint16List, writeInt32List, etc.	readInt8List, readUint16List, readInt32List, etc.	Vec<Int>: Length-prefixed (u64) + typed data
Float TypedData	writeFloat32List, writeFloat64List	readFloat32List, readFloat64List	Vec<Float>: Length-prefixed (u64) + typed data
BincodeCodable (Known)	writeNestedObjectWithKnownSize(v, sz)	readNestedObjectWithKnownSize(i, sz)	Fixed layout, no prefix. KnownSizehas better performance when size is known.
BincodeCodable? (Known)	writeOptionNestedObjectWithKnownSize(v, sz)	readOptionNestedObjectWithKnownSize(c, sz)**	Option<Fixed>: tag + fixed layout.KnownSizehas better performance when size is known.
BincodeCodable (Nested)	writeNestedValueForFixed, writeNestedValueForCollection	readNestedObjectForFixed, readNestedObjectForCollection	Handles nested serializable objects
BincodeCodable? (Nested)	writeOptionNestedValueForFixed, writeOptionNestedValueForCollection	readOptionNestedObjectForFixed, readOptionNestedObjectForCollection	Handles optional nested serializable objects
int (enum discriminant)	writeEnumDiscriminant(discriminant)	readEnumDiscriminant()	Represents enum variant index (u32 - legacy mode)
Duration	writeDuration(duration)	readDuration()	Custom: seconds (i64) + nanos (u32)
Duration?	writeOptionDuration(duration)	readOptionDuration()	Option<Duration>: tag (u8) + duration if Some

Working with Nested Objects

When encoding nested BincodeCodable objects, use the writeNested... methods. Choose the appropriate variant:

• ...ForFixed: Use when the nested object is part of a structure where its size contribution is implicitly handled (like fields within a class).
• ...ForCollection: Use when the nested object is part of a dynamic collection (like List or Map) where its size needs to be explicitly included in the serialization stream.
• ...WithKnownSize: Use for fixed-size objects when the size is known upfront. For reading (read...WithKnownSize), this avoids the overhead of encoding a temporary object just to determine the size, improving performance compared to readNestedObjectForFixed.

class Inner implements BincodeCodable {
  int code;
  Inner(this.code);
  Inner.empty() : code = 0;
  @override void encode(BincodeWriter w) => w.writeU32(code);
  @override void decode(BincodeReader r) => code = r.readU32();
}

class Outer implements BincodeCodable {
  Inner innerFixed;       // This is like a fixed struct field
  List<Inner> innerList;  // This requires collection handling

  Outer(this.innerFixed, this.innerList);
  Outer.empty() : innerFixed = Inner.empty(), innerList = [];

  @override
  void encode(BincodeWriter w) {
    w.writeNestedValueForFixed(innerFixed); // Fixed context
    w.writeList<Inner>(innerList, (item) {
      w.writeNestedValueForCollection(item); // Collection context
    });
  }

  @override
  void decode(BincodeReader r) {
    innerFixed = r.readNestedObjectForFixed(Inner.empty()); // Fixed context
    innerList = r.readList<Inner>(() {
      return r.readNestedObjectForCollection(Inner.empty()); // Collection context
    });
  }
}

Writer Utilities

• writer.toBytes(): Get the encoded Uint8List.
• writer.getBytesWritten(): Get the number of bytes written so far.
• writer.measure(codable): Calculate the encoded size without actually writing.
• writer.reserve(bytes): Ensure capacity without losing existing data.
• writer.reset(): Clear the writer for reuse.
• BincodeWriter.encode(codable): Static method for direct encoding.
• BincodeWriter.encodeToBase64(codable): Encode directly to Base64 string.
• BincodeWriter.toHex(bytes): Convert bytes to hex string.
• writer.encodeToSink(codable, sink): Asynchronously write to an IOSink.
• BincodeWriter.encodeToFileSync(codable, path): Synchronously write to a file.

Reader Utilities

• reader.position: Get the current read position.
• reader.seek(offset) / reader.seekTo(position) / reader.rewind() / reader.skipToEnd(): Navigate the buffer.
• reader.hasBytes(count): Check if enough bytes remain.
• reader.isAligned(bytes) / reader.align(bytes): Check and enforce alignment.
• reader.skipU8(), reader.skipU16(), etc.: Skip over data types.
• reader.peekSession(() => ...): Read data without advancing the position.
• reader.skipOption(() => ...): Skip over an optional value (present or absent).
• BincodeReader.decode(bytes, emptyInstance): Static method for decoding dynamically sized objects.
• BincodeReader.decodeFixed(bytes, emptyInstance): Static method for decoding fixed-layout objects.
• BincodeReader.isValidBincode(bytes, emptyInstance): Validate if bytes can be decoded.
• BincodeReader.fromBuffer(buffer): Create reader from a ByteBuffer.
• BincodeReader.stripNulls(string): Remove trailing null characters.
• BincodeReader.peekLength(bytes): Read the initial u64 length prefix.

Performance Utilities

• [BincodeWriterPool]: For applications performing frequent serialization (e.g. IPC etc.), using a pool can reduce object allocation overhead and GC pressure by reusing BincodeWriter instances and their buffers.

  final pool = BincodeWriterPool(); // Create a shared pool
  final bytes = pool.use((writer) { // Use a writer from the pool
    writer.writeI32(123);
    return writer.toBytes();
  });
  

• [BitMask]: A helper class to efficiently manage up to 8 boolean flags stored within a single byte. Useful for status fields, options, etc.

  final mask = BitMask();
  mask.setBit(0, true); // Set first flag
  mask.setBit(7, true); // Set last flag
  writer.writeU8(mask.value); // Write the byte (value: 129)
  
  final readMask = BitMask(reader.readU8());
  print(readMask.getBit(0)); // true
  print(readMask.getBit(1)); // false
  

Benchmarks

Disclaimer: The following benchmark results are provided for illustrative purposes only. Actual performance may vary significantly depending on the specific data structures being serialized, the hardware used, the Dart VM version, overall system load, and other factors. These figures do not constitute a guarantee of performance in your specific application. Always benchmark within your own use case.

MyData Class Example

Results are from code/encode the example MyData with Bincode vs Json vs Protobuf via benchmark_harness package.

Json was generated via json_serializable.

Protobuf via protoc cmd generate command.

Bincode from d_bincode like in the example.

Data Setup & Initial Serialization:
  Bincode Initial Encode took: 0.01 ms
  JSON Initial Encode took:    0.06 ms
  Protobuf Initial Encode took:0.10 ms (includes Dart->Proto conversion)

Serialized Size:
  Bincode:  670.0 bytes
  JSON:     1679.0 bytes
  Protobuf: 582.0 bytes
  Size Ratios (vs Bincode): JSON: 2.51x | Protobuf: 0.87x
  Size Ratio (JSON / Protobuf): 2.88x
----------------------------------------------------------------------
Running Benchmarks (Average time per operation)...

Benchmark Results:
======================================================================
 ENCODING (Object -> Bytes)
----------------------------------------------------------------------
  Bincode:  14.53 µs     / op  |  Ops/sec:      68820
  JSON:     235.24 µs    / op  |  Ops/sec:       4251
  Protobuf: 59.92 µs     / op  |  Ops/sec:      16688
----------------------------------------------------------------------
  Ratios (vs Bincode): JSON: 16.19x | Protobuf: 4.12x
  Ratio (JSON / Protobuf): 3.93x
----------------------------------------------------------------------
 DECODING (Bytes -> Object)
----------------------------------------------------------------------
  Bincode:  20.13 µs     / op  |  Ops/sec:      49667
  JSON:     180.22 µs    / op  |  Ops/sec:       5549
  Protobuf: 59.99 µs     / op  |  Ops/sec:      16670
----------------------------------------------------------------------
  Ratios (vs Bincode): JSON: 8.95x | Protobuf: 2.98x
  Ratio (JSON / Protobuf): 3.00x
======================================================================

Complex Nested Data Test

Results from serializing/deserializing a complex, multi-level nested object 5 million times:

======================================
 Serialization Benchmark (×5,000,000)
======================================

>>> Bincode
Serialize                Total: 6311.90ms   Avg:    1.26µs
Deserialize              Total: 9677.11ms   Avg:    1.94µs
  Size: 518 bytes

>>> JSON
Round‑trip               Total: 144801.50ms   Avg:   28.96µs
  Size: 1,420 bytes

>>> Speedups & Savings
  Serialize speedup:     22.94×
  Deserialize speedup:   14.96×
  Size ratio (JSON/B):   2.74×
  Saved bytes:           902 (63.5% smaller)
--------------------------------------

Simple Data Test (Single u32)

Results from serializing/deserializing a single 32-bit unsigned integer 100 million times:

==========================================
 Minimal Payload Benchmark (×100,000,000) 
==========================================

Bincode Encode     | Total:   225.7ms | Avg:   0.002µs
Bincode Decode     | Total:  1064.8ms | Avg:   0.011µs
JSON round‑trip    | Total: 51050.1ms | Avg:   0.511µs
--------------------------------------------------
Round‑trips        | Total:  1290.5ms | Avg:   0.013µs

Speed‑ups vs JSON:
  • Encode faster:      226.20×
  • Decode faster:      47.94×
  • Round‑trip faster:  39.56×

Size Comparison:
  • Bincode: 4 bytes
  • JSON:    15 bytes
  • JSON is 3.75× larger
  • Bincode saves 73.3%

Total Saved Over All Items:
  • Bytes: 1,100,000,000
  • KB:    1074218.75
  • MB:    1049.04

Note: As stated in the disclaimer, these specific values depend heavily on the testing environment and the nature of the data.

Additional Information

Originally created for a private project, this package wasn't built with every use case in mind. If you want to extend it for your own needs, fork or open a pull request.

License

MIT License