@colyseus/schema

A binary schema-based serialization algorithm.
Although it was born to be used on Colyseus, this library can be used as standalone.

Defining Schema

As Colyseus is written in TypeScript, the schema is defined as type annotations inside the state class. Additional server logic may be added to that class, but client-side generated (not implemented) files will consider only the schema itself.

import { Schema, type, ArraySchema, MapSchema } from '@colyseus/schema';

export class Player extends Schema {
  @type("string")
  name: string;

  @type("number")
  x: number;

  @type("number")
  y: number;
}

export class State extends Schema {
  @type('string')
  fieldString: string;

  @type('number') // varint
  fieldNumber: number;

  @type(Player)
  player: Player;

  @type([ Player ])
  arrayOfPlayers: ArraySchema<Player>;

  @type({ map: Player })
  mapOfPlayers: MapSchema<Player>;
}

See example.

Supported types

Primitive Types

Type	Description	Limitation
string	utf8 strings	maximum byte size of 4294967295
number	auto-detects int or float type. (extra byte on output)	0 to 18446744073709551615
boolean	true or false	0 or 1
int8	signed 8-bit integer	-128 to 127
uint8	unsigned 8-bit integer	0 to 255
int16	signed 16-bit integer	-32768 to 32767
uint16	unsigned 16-bit integer	0 to 65535
int32	signed 32-bit integer	-2147483648 to 2147483647
uint32	unsigned 32-bit integer	0 to 4294967295
int64	signed 64-bit integer	-9223372036854775808 to 9223372036854775807
uint64	unsigned 64-bit integer	0 to 18446744073709551615
float32	single-precision floating-point number	-3.40282347e+38 to 3.40282347e+38
float64	double-precision floating-point number	-1.7976931348623157e+308 to 1.7976931348623157e+308

Declaration:

Primitive types (string, number, boolean, etc)

@type("string")
name: string;

@type("int32")
name: number;

Custom Schema type

@type(Player)
player: Player;

Array of custom Schema type

@type([ Player ])
arrayOfPlayers: ArraySchema<Player>;

Array of a primitive type (not currently supported!)

You can't mix types inside arrays.

@type([ "number" ])
arrayOfNumbers: ArraySchema<number>;

@type([ "string" ])
arrayOfStrings: ArraySchema<string>;

Map of custom Schema type

@type({ map: Player })
mapOfPlayers: MapSchema<Player>;

Map of a primitive type (not currently supported!)

You can't mix types inside maps.

@type({ map: "number" })
mapOfNumbers: MapSchema<number>;

@type({ map: "string" })
mapOfStrings: MapSchema<string>;

Data filters (experimental)

When using with Colyseus 0.10, you may provide a @filter per field, to filter out what you don't want to serialize for a specific client.

On the example below, we are filtering entities which are close to the player entity.

import { Schema, type, filter } from "@colyseus/schema";

export class State extends Schema {
  @filter(function(this: State, client: any, value: Entity) {
    const currentPlayer = this.entities[client.sessionId]

    var a = value.x - currentPlayer.x;
    var b = value.y - currentPlayer.y;

    return (Math.sqrt(a * a + b * b)) <= 10;

  })
  @type({ map: Entity })
  entities = new MapSchema<Entity>();
}

Limitations and best practices

• Multi-dimensional arrays are not supported.
• Maps are only supported for custom Schema types.
• Array items must all have the same type as defined in the schema.
• @colyseus/schema encodes only field values in the specified order.
  • Both encoder (server) and decoder (client) must have same schema definition.
  • The order of the fields must be the same.
• Avoid manipulating indexes of an array. This result in at least 2 extra bytes for each index change. Example: If you have an array of 20 items, and remove the first item (through shift()) this means 38 extra bytes to be serialized.
• Avoid moving keys of maps. As of arrays, it adds 2 extra bytes per key move.

Decoding / Listening for changes

TODO: describe how changes will arrive on array and map types

import { DataChange } from "@colyseus/schema";
import { State } from "./YourStateDefinition";

const decodedState = new State();
decodedState.onChange = function(changes: DataChange[]) {
  assert.equal(changes.length, 1);
  assert.equal(changes[0].field, "fieldNumber");
  assert.equal(changes[0].value, 50);
  assert.equal(changes[0].previousValue, undefined);
}
decodedState.decode(incomingData);

Generating client-side state/schema files:

THIS HAS NOT BEEN IMPLEMENTED

Decoders for each target language are located at /decoders/. Usage should be as simple as dropping the decoder along with the schema files in your project, since they have no external dependencies.

# TypeScript
statefy ./schemas/State.ts --output ./ts-project/State.ts

# LUA/Defold
statefy ./schemas/State.ts --output ./lua-project/State.lua

# C/C++
statefy ./schemas/State.ts --output ./cpp-project/State.c

# C#/Unity
statefy ./schemas/State.ts --output ./unity-project/State.cs

# Haxe
statefy ./schemas/State.ts --output ./haxe-project/State.hx

Benchmarks:

Scenario	@colyseus/schema	msgpack + fossil-delta
Initial state size (100 entities)	2671	3283
Updating x/y of 1 entity after initial state	9	26
Updating x/y of 50 entities after initial state	342	684
Updating x/y of 100 entities after initial state	668	1529

Why

Initial thoghts/assumptions, for Colyseus:

• little to no bottleneck for detecting state changes.
• have a schema definition on both server and client
• better experience on staticaly-typed languages (C#, C++)
• mutations should be cheap.

Practical Colyseus issues this should solve:

• Avoid decoding large objects that haven't been patched
• Allow to send different patches for each client
• Better developer experience on statically-typed languages

Inspiration:

• schemapack
• avro
• flatbuffers

License

MIT