title: Basic Serialization sidebar_position: 1 id: basic-serialization license: | Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to You under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at
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This guide covers the core serialization APIs in the default xlang mode for Apache Fory JavaScript.
Fory Instanceimport Fory from "@apache-fory/core"; const fory = new Fory();
Create one instance, register your schemas, and reuse it. Fory caches the generated serializers after the first register call, so recreating it on every request wastes that work.
Type.structThe most common path is to define a schema and register it.
import Fory, { Type } from "@apache-fory/core"; const accountType = Type.struct( { typeName: "example.account" }, { id: Type.int64(), owner: Type.string(), active: Type.bool(), nickname: Type.string().setNullable(true), }, ); const fory = new Fory(); const { serialize, deserialize } = fory.register(accountType);
const bytes = serialize({ id: 42n, owner: "Alice", active: true, nickname: null, }); const value = deserialize(bytes); console.log(value); // { id: 42n, owner: 'Alice', active: true, nickname: null }
The returned bytes value is a Uint8Array/platform buffer and can be sent over the network or written to storage.
Fory can also serialize dynamic root values without first binding a schema-specific serializer.
const fory = new Fory(); const bytes = fory.serialize( new Map([ ["name", "Alice"], ["age", 30], ]), ); const value = fory.deserialize(bytes);
This is convenient for dynamic payloads, but explicit schemas are usually better for stable interfaces and cross-language contracts.
const fory = new Fory(); fory.deserialize(fory.serialize(true)); // true fory.deserialize(fory.serialize("hello")); // 'hello' fory.deserialize(fory.serialize(123)); // 123 fory.deserialize(fory.serialize(123n)); // 123n fory.deserialize(fory.serialize(new Date("2021-10-20T09:13:00Z"))); // Date
bigintJavaScript number is a 64-bit float, which cannot exactly represent all 64-bit integers. For cross-language contracts or anywhere exact integer sizes matter, use explicit field types in your schema:
Type.int32() — 32-bit integer; use JavaScript numberType.int64() — 64-bit integer; use JavaScript bigintType.float32() / Type.float64() — floating-pointDynamic root serialization (calling fory.serialize(someNumber) without a schema) will infer a type, but the inferred type is not guaranteed by the API. Use a schema for any stable contract.
const inventoryType = Type.struct("example.inventory", { tags: Type.list(Type.string()), counts: Type.map(Type.string(), Type.int32()), labels: Type.set(Type.string()), }); const fory = new Fory({ ref: true }); const { serialize, deserialize } = fory.register(inventoryType); const bytes = serialize({ tags: ["hot", "new"], counts: new Map([ ["apple", 3], ["pear", 8], ]), labels: new Set(["featured", "seasonal"]), }); const value = deserialize(bytes);
const addressType = Type.struct("example.address", { city: Type.string(), country: Type.string(), }); const userType = Type.struct("example.user", { name: Type.string(), address: Type.struct("example.address", { city: Type.string(), country: Type.string(), }), }); const fory = new Fory(); const { serialize, deserialize } = fory.register(userType); const bytes = serialize({ name: "Alice", address: { city: "Hangzhou", country: "CN" }, }); const user = deserialize(bytes);
If a nested value can be missing, mark it nullable:
const wrapperType = Type.struct("example.wrapper", { child: Type.struct("example.child", { name: Type.string(), }).setNullable(true), });
TypeScript decorators are also supported.
import Fory, { Type } from "@apache-fory/core"; @Type.struct("example.user") class User { @Type.int64() id!: bigint; @Type.string() name!: string; } const fory = new Fory(); const { serialize, deserialize } = fory.register(User); const user = new User(); user.id = 1n; user.name = "Alice"; const copy = deserialize(serialize(user)); console.log(copy instanceof User); // true
Field nullability is explicit in schema-based structs.
const nullableType = Type.struct("example.optional_user", { name: Type.string(), email: Type.string().setNullable(true), });
If a field is not marked nullable and you try to write null, serialization throws.
You can inspect generated serializer code with hooks.afterCodeGenerated.
const fory = new Fory({ hooks: { afterCodeGenerated(code) { console.log(code); return code; }, }, });
This is useful when debugging schema behavior, field ordering, or generated fast paths.
The default xlang format is shared by all Fory runtimes. The following sections cover its cross-language type mapping, type identity, and interoperability requirements.
Fory JavaScript serializes to the same binary format as the Java, Python, C++, Go, Rust, C#, Swift, Dart, Scala, and Kotlin Fory implementations. You can write a message in JavaScript and read it in Java, or any other direction, without a conversion layer.
Things to keep in mind:
For a message to survive a round trip between JavaScript and another language:
typeName.Type.int32() field in JavaScript matches Java int, Go int32, C# int.JavaScript side:
import Fory, { Type } from "@apache-fory/core"; const messageType = Type.struct( { typeName: "example.message" }, { id: Type.int64(), content: Type.string(), }, ); const fory = new Fory(); const { serialize } = fory.register(messageType); const bytes = serialize({ id: 1n, content: "hello from JavaScript", });
On the other side, register the same example.message type (same name or same numeric ID) using the peer language's API:
Fory matches fields by name. When models are defined in multiple languages, keep field names consistent — or at minimum use a naming scheme that maps unambiguously across languages (e.g. snake_case everywhere).
With the default compatible schema evolution, field order differences are tolerated, but the names themselves must still match.
JavaScript number is a 64-bit float, which does not map cleanly to every integer type in other languages. Use explicit schema types:
Type.int32() for 32-bit integers (Java int, Go int32, C# int)Type.int64() with bigint values for 64-bit integers (Java long, Go int64)Type.float32() or Type.float64() for floating-point valuesUse Type.list(T) for ordinary JavaScript Array<T> values and Fory list<T> schema. Dense bool/numeric vectors use the explicit array builders listed below.
| Fory schema | JavaScript/TypeScript schema builder |
|---|---|
list<int32> | Type.list(Type.int32()) |
array<bool> | Type.boolArray() |
array<int8> | Type.int8Array() |
array<int16> | Type.int16Array() |
array<int32> | Type.int32Array() |
array<int64> | Type.int64Array() |
array<uint8> | Type.uint8Array() |
array<uint16> | Type.uint16Array() |
array<uint32> | Type.uint32Array() |
array<uint64> | Type.uint64Array() |
array<float16> | Type.float16Array() |
array<bfloat16> | Type.bfloat16Array() |
array<float32> | Type.float32Array() |
array<float64> | Type.float64Array() |
Type.timestamp() — a point in time; round-trips as a JavaScript DateType.date() — a date without time; deserializes as DateType.duration() — exposed as a numeric millisecond value in JavaScriptType.any() lets a field hold different concrete types, but it is harder to keep in sync across languages. Prefer explicit field schemas whenever possible.
const wrapperType = Type.struct( { typeId: 3001 }, { payload: Type.any(), }, );
Enum member order must match across languages. Fory encodes enums by ordinal position, not by value.
const Color = { Red: 1, Green: 2, Blue: 3 }; const fory = new Fory(); fory.register(Type.enum({ typeId: 210 }, Color));
Use the same type ID or type name in every peer.
The maxDepth option bounds nested payloads. It does not change the binary format; it only controls what the local Fory instance accepts.
import Fory from "@apache-fory/core"; const fory = new Fory(); const input = fory.serialize("hello fory"); const result = fory.deserialize(input); console.log(result);
import Fory, { Type } from "@apache-fory/core"; // Describe data structures using JSON schema const description = Type.struct( { typeName: "example.foo" }, { foo: Type.string(), }, ); const fory = new Fory(); const { serialize, deserialize } = fory.register(description); const input = serialize({ foo: "hello fory" }); const result = deserialize(input); console.log(result);
import Fory, { Type } from "@apache-fory/core"; const description = Type.struct("example.foo", { foo: Type.string(), bar: Type.struct("example.foo").setTrackingRef(true), }); const fory = new Fory({ ref: true }); const { serialize, deserialize } = fory.register(description); const data: any = { foo: "hello fory", }; data.bar = data; const input = serialize(data); const result = deserialize(input); console.log(result.bar.foo === result.foo);