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title Basic Serialization
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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 http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

This page covers basic object graph serialization and supported types.

Object Graph Serialization

Apache Fory™ provides automatic serialization of complex object graphs, preserving the structure and relationships between objects. The #[derive(ForyObject)] macro generates efficient serialization code at compile time, eliminating runtime overhead.

Key capabilities:

  • Nested struct serialization with arbitrary depth
  • Collection types (Vec, HashMap, HashSet, BTreeMap)
  • Optional fields with Option<T>
  • Automatic handling of primitive types and strings
  • Efficient binary encoding with variable-length integers
use fory::{Fory, Error};
use fory::ForyObject;
use std::collections::HashMap;

#[derive(ForyObject, Debug, PartialEq)]
struct Person {
    name: String,
    age: i32,
    address: Address,
    hobbies: Vec<String>,
    metadata: HashMap<String, String>,
}

#[derive(ForyObject, Debug, PartialEq)]
struct Address {
    street: String,
    city: String,
    country: String,
}

let mut fory = Fory::default();
fory.register::<Address>(100);
fory.register::<Person>(200);

let person = Person {
    name: "John Doe".to_string(),
    age: 30,
    address: Address {
        street: "123 Main St".to_string(),
        city: "New York".to_string(),
        country: "USA".to_string(),
    },
    hobbies: vec!["reading".to_string(), "coding".to_string()],
    metadata: HashMap::from([
        ("role".to_string(), "developer".to_string()),
    ]),
};

let bytes = fory.serialize(&person);
let decoded: Person = fory.deserialize(&bytes)?;
assert_eq!(person, decoded);

Supported Types

Primitive Types

Rust Type Description
bool Boolean
i8, i16, i32, i64 Signed integers
f32, f64 Floating point
String UTF-8 string

Collections

Rust Type Description
Vec<T> Dynamic array
VecDeque<T> Double-ended queue
LinkedList<T> Doubly-linked list
HashMap<K, V> Hash map
BTreeMap<K, V> Ordered map
HashSet<T> Hash set
BTreeSet<T> Ordered set
BinaryHeap<T> Binary heap
Option<T> Optional value

Smart Pointers

Rust Type Description
Box<T> Heap allocation
Rc<T> Reference counting (shared refs tracked)
Arc<T> Thread-safe reference counting (shared refs tracked)
RcWeak<T> Weak reference to Rc<T> (breaks circular refs)
ArcWeak<T> Weak reference to Arc<T> (breaks circular refs)
RefCell<T> Interior mutability (runtime borrow checking)
Mutex<T> Thread-safe interior mutability

Date and Time

Rust Type Description
chrono::NaiveDate Date without timezone
chrono::NaiveDateTime Timestamp without timezone

Custom Types

Macro Description
#[derive(ForyObject)] Object graph serialization
#[derive(ForyRow)] Row-based serialization

Serialization APIs

use fory::{Fory, Reader};

let mut fory = Fory::default();
fory.register::<MyStruct>(1)?;

let obj = MyStruct { /* ... */ };

// Basic serialize/deserialize
let bytes = fory.serialize(&obj)?;
let decoded: MyStruct = fory.deserialize(&bytes)?;

// Serialize to existing buffer
let mut buf: Vec<u8> = vec![];
fory.serialize_to(&mut buf, &obj)?;

// Deserialize from reader
let mut reader = Reader::new(&buf);
let decoded: MyStruct = fory.deserialize_from(&mut reader)?;

Performance Tips

  • Zero-Copy Deserialization: Row format enables direct memory access without copying
  • Buffer Pre-allocation: Minimizes memory allocations during serialization
  • Compact Encoding: Variable-length encoding for space efficiency
  • Little-Endian: Optimized for modern CPU architectures
  • Reference Deduplication: Shared objects serialized only once

Related Topics