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Colfer Build Status

Colfer is a schema-based binary serialization format optimized for speed and size.

The project's compiler colf(1) generates source code from schema definitions to marshal and unmarshall data structures.

This is free and unencumbered software released into the public domain. The format is inspired by Protocol Buffer.

Features

  • Simple and straightforward in use
  • Support for: Go, Java and ECMAScript/JavaScript
  • No dependencies other than the core library
  • Both faster and smaller than: Protocol Buffers, FlatBuffers and MessagePack
  • The generated code is human-readable
  • Configurable data limits with sane defaults (memory protection)
  • Maximum of 127 fields per data structure
  • No support for enumerations
  • Framed; suitable for concatenation/streaming

TODO's

  • RMI (WIP GoDoc )
  • Lists for numbers and timestamps

Use

Download a prebuilt compiler or run go get -u github.com/pascaldekloe/colfer/cmd/colf to make one yourself. Without arguments the command prints its manual.

NAME
	colf — compile Colfer schemas

SYNOPSIS
	colf [-b <dir>] [-p <path>] <language> [<file> ...]

DESCRIPTION
	Generates source code for the given language. The options are: Go,
	Java and ECMAScript.
	The file operands are processed in command-line order. If file is
	absent, colf reads all ".colf" files in the working directory.

  -b string
	Use a specific destination base directory. (default ".")
  -p string
	Adds a package prefix. Use slash as a separator when nesting.

BUGS
	Report bugs at https://github.com/pascaldekloe/colfer/issues

SEE ALSO
	protoc(1)

It is recommended to commit the generated source code to the respective version control. Maven users may disagree.

Schema

Data structures are defined in .colf files. The format is quite conventional.

package example

type coarse struct {
	id    uint64
	name  text
	holes []hole
	map   binary
	tags  []text
}

type hole struct {
	par   int32
	lat   float64
	lon   float64
	water bool
	sand  bool
}

The following table shows how Colfer data types are applied per language.

Colfer ECMAScript Go Java
bool Boolean bool boolean
uint32 Number uint32 int †
uint64 Number ‡ uint64 long †
int32 Number int32 int
int64 Number ‡ int64 long
float32 Number float32 float
float64 Number float64 double
timestamp Date + Number time.Time †† java.time.Instant
text String ‡‡ string java.lang.String ‡‡
binary Uint8Array []byte byte[]
list Array slice array
  • † signed representation of unsigned data, i.e. may overflow to negative.
  • ‡ range limited to (1 - 2⁵³, 2⁵³ - 1)
  • †† timezone not preserved
  • ‡‡ characters limited by UTF-16 (U+0000, U+10FFFF)

Lists may contain text or data structures.

Compatibility

Name changes do not affect the serialization format. Deprecated fields can be renamed to clearly discourage its use.

The following changes are backward compatible.

  • New fields at the end of Colfer structs
  • Change datatype int32 into int64
  • Change datatype text into binary

Performance

% go generate && go test -bench .
BenchmarkMarshal/colfer-8   	20000000	        67.2 ns/op	      52 B/op	       1 allocs/op
BenchmarkMarshal/protobuf-8 	20000000	        78.7 ns/op	      52 B/op	       1 allocs/op
BenchmarkMarshal/flatbuf-8  	 2000000	       689 ns/op	     472 B/op	      12 allocs/op
BenchmarkUnmarshal/colfer-8 	20000000	        96.6 ns/op	      84 B/op	       2 allocs/op
BenchmarkUnmarshal/protobuf-8         	10000000	       126 ns/op	      84 B/op	       2 allocs/op
BenchmarkUnmarshal/flatbuf-8          	10000000	       144 ns/op	      84 B/op	       2 allocs/op
BenchmarkMarshalReuse/colfer-8        	50000000	        38.4 ns/op	       0 B/op	       0 allocs/op
BenchmarkMarshalReuse/protobuf-8      	30000000	        48.9 ns/op	       0 B/op	       0 allocs/op
BenchmarkMarshalReuse/flatbuf-8       	 5000000	       290 ns/op	       0 B/op	       0 allocs/op
BenchmarkUnmarshalReuse/colfer-8      	20000000	        63.0 ns/op	      20 B/op	       1 allocs/op
BenchmarkUnmarshalReuse/protobuf-8    	20000000	        94.0 ns/op	      20 B/op	       1 allocs/op
BenchmarkUnmarshalReuse/flatbuf-8     	20000000	       111 ns/op	      20 B/op	       1 allocs/op
PASS
ok  	github.com/pascaldekloe/colfer	21.110s

For Java the numbers look even better.

Running testdata.bench.bench
20M unmarshals avg 67ns
20M marshals avg 49ns
20M marshals with buffer reuse avg 34ns

Format

Data structures consist of zero or more field value definitions followed by a termination byte 0x7f. Only those fields with a value other than the zero value may be serialized. Fields appear in order as stated by the schema.

The zero value for booleans is false, integers: 0, floating points: 0.0, timestamps: 1970-01-01T00:00:00.000000000Z, text & binary: the empty string, nested data structures: null and an empty list for data structure lists.

Data is represented in a big-endian manner. The format relies on varints also known as a variable-length quantity.

Value Definiton

Each definition starts with an 8-bit header. The 7 least significant bits identify the field by its (0-based position) index in the schema. The most significant bit is used as a flag.

Boolean occurrences set the value to true.

Integers are encoded as varints. The header flag indicates negative for signed types and fixed size for unsigned types. The tenth byte for 64-bit integers is skipped for encoding since its value is fixed to 0x01.

Floating points are encoded conform IEEE 754.

Timestamps are encoded as a 32-bit unsigned integer for the number of seconds that have elapsed since 00:00:00 UTC, Thursday, 1 January 1970, not counting leap seconds. When the header flag is set then the number of seconds is encoded as a 64-bit two's complement integer. In both cases the value is followed with 32 bits for the nanosecond fraction. Note that the first two bits are not in use (reserved).

The data for text and binaries is prefixed with a varint byte size declaration. Text is encoded as UTF-8.

Lists of objects and strings are prefixed with a varint element size declaration.

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Schema-based binary serialization format

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Languages

  • Go 43.5%
  • JavaScript 39.1%
  • Java 15.5%
  • CSS 1.6%
  • Other 0.3%