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소개
Serde는 그 반대의 경우도 마찬가지 직렬화 된 데이터 (예를 들어, JSON 및 XML) 녹 구조 및 변환하는 데 사용 녹에 대한 인기 빼앗아 ialization와 드 직렬화 프레임 워크입니다. Serde는 JSON, YAML, TOML, BSON, Pickle 및 XML을 비롯한 다양한 형식을 지원합니다.
구조 ↔ JSON
main.rs
extern crate serde;
extern crate serde_json;
// Import this crate to derive the Serialize and Deserialize traits.
#[macro_use] extern crate serde_derive;
#[derive(Serialize, Deserialize, Debug)]
struct Point {
x: i32,
y: i32,
}
fn main() {
let point = Point { x: 1, y: 2 };
// Convert the Point to a packed JSON string. To convert it to
// pretty JSON with indentation, use `to_string_pretty` instead.
let serialized = serde_json::to_string(&point).unwrap();
// Prints serialized = {"x":1,"y":2}
println!("serialized = {}", serialized);
// Convert the JSON string back to a Point.
let deserialized: Point = serde_json::from_str(&serialized).unwrap();
// Prints deserialized = Point { x: 1, y: 2 }
println!("deserialized = {:?}", deserialized);
}
Cargo.toml
[package]
name = "serde-example"
version = "0.1.0"
build = "build.rs"
[dependencies]
serde = "0.9"
serde_json = "0.9"
serde_derive = "0.9"
enum을 문자열로 직렬화하십시오.
extern crate serde;
extern crate serde_json;
macro_rules! enum_str {
($name:ident { $($variant:ident($str:expr), )* }) => {
#[derive(Clone, Copy, Debug, Eq, PartialEq)]
pub enum $name {
$($variant,)*
}
impl ::serde::Serialize for $name {
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
where S: ::serde::Serializer,
{
// Serialize the enum as a string.
serializer.serialize_str(match *self {
$( $name::$variant => $str, )*
})
}
}
impl ::serde::Deserialize for $name {
fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
where D: ::serde::Deserializer,
{
struct Visitor;
impl ::serde::de::Visitor for Visitor {
type Value = $name;
fn expecting(&self, formatter: &mut ::std::fmt::Formatter) -> ::std::fmt::Result {
write!(formatter, "a string for {}", stringify!($name))
}
fn visit_str<E>(self, value: &str) -> Result<$name, E>
where E: ::serde::de::Error,
{
match value {
$( $str => Ok($name::$variant), )*
_ => Err(E::invalid_value(::serde::de::Unexpected::Other(
&format!("unknown {} variant: {}", stringify!($name), value)
), &self)),
}
}
}
// Deserialize the enum from a string.
deserializer.deserialize_str(Visitor)
}
}
}
}
enum_str!(LanguageCode {
English("en"),
Spanish("es"),
Italian("it"),
Japanese("ja"),
Chinese("zh"),
});
fn main() {
use LanguageCode::*;
let languages = vec![English, Spanish, Italian, Japanese, Chinese];
// Prints ["en","es","it","ja","zh"]
println!("{}", serde_json::to_string(&languages).unwrap());
let input = r#" "ja" "#;
assert_eq!(Japanese, serde_json::from_str(input).unwrap());
}
camelCase로 필드 직렬화
extern crate serde;
extern crate serde_json;
#[macro_use] extern crate serde_derive;
#[derive(Serialize)]
struct Person {
#[serde(rename="firstName")]
first_name: String,
#[serde(rename="lastName")]
last_name: String,
}
fn main() {
let person = Person {
first_name: "Joel".to_string(),
last_name: "Spolsky".to_string(),
};
let json = serde_json::to_string_pretty(&person).unwrap();
// Prints:
//
// {
// "firstName": "Joel",
// "lastName": "Spolsky"
// }
println!("{}", json);
}
필드의 기본값
extern crate serde;
extern crate serde_json;
#[macro_use] extern crate serde_derive;
#[derive(Deserialize, Debug)]
struct Request {
// Use the result of a function as the default if "resource" is
// not included in the input.
#[serde(default="default_resource")]
resource: String,
// Use the type's implementation of std::default::Default if
// "timeout" is not included in the input.
#[serde(default)]
timeout: Timeout,
// Use a method from the type as the default if "priority" is not
// included in the input. This may also be a trait method.
#[serde(default="Priority::lowest")]
priority: Priority,
}
fn default_resource() -> String {
"/".to_string()
}
/// Timeout in seconds.
#[derive(Deserialize, Debug)]
struct Timeout(u32);
impl Default for Timeout {
fn default() -> Self {
Timeout(30)
}
}
#[derive(Deserialize, Debug)]
enum Priority { ExtraHigh, High, Normal, Low, ExtraLow }
impl Priority {
fn lowest() -> Self { Priority::ExtraLow }
}
fn main() {
let json = r#"
[
{
"resource": "/users"
},
{
"timeout": 5,
"priority": "High"
}
]
"#;
let requests: Vec<Request> = serde_json::from_str(json).unwrap();
// The first request has resource="/users", timeout=30, priority=ExtraLow
println!("{:?}", requests[0]);
// The second request has resource="/", timeout=5, priority=High
println!("{:?}", requests[1]);
}
직렬화 필드 건너 뛰기
extern crate serde;
extern crate serde_json;
#[macro_use] extern crate serde_derive;
use std::collections::BTreeMap as Map;
#[derive(Serialize)]
struct Resource {
// Always serialized.
name: String,
// Never serialized.
#[serde(skip_serializing)]
hash: String,
// Use a method to decide whether the field should be skipped.
#[serde(skip_serializing_if="Map::is_empty")]
metadata: Map<String, String>,
}
fn main() {
let resources = vec![
Resource {
name: "Stack Overflow".to_string(),
hash: "b6469c3f31653d281bbbfa6f94d60fea130abe38".to_string(),
metadata: Map::new(),
},
Resource {
name: "GitHub".to_string(),
hash: "5cb7a0c47e53854cd00e1a968de5abce1c124601".to_string(),
metadata: {
let mut metadata = Map::new();
metadata.insert("headquarters".to_string(),
"San Francisco".to_string());
metadata
},
},
];
let json = serde_json::to_string_pretty(&resources).unwrap();
// Prints:
//
// [
// {
// "name": "Stack Overflow"
// },
// {
// "name": "GitHub",
// "metadata": {
// "headquarters": "San Francisco"
// }
// }
// ]
println!("{}", json);
}
사용자 정의 맵 유형에 대한 직렬화 구현
impl<K, V> Serialize for MyMap<K, V>
where K: Serialize,
V: Serialize
{
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
where S: Serializer
{
let mut state = serializer.serialize_map(Some(self.len()))?;
for (k, v) in self {
state.serialize_entry(k, v)?;
}
state.end()
}
}
사용자 정의지도 유형에 대해 비 직렬화 구현
// A Visitor is a type that holds methods that a Deserializer can drive
// depending on what is contained in the input data.
//
// In the case of a map we need generic type parameters K and V to be
// able to set the output type correctly, but don't require any state.
// This is an example of a "zero sized type" in Rust. The PhantomData
// keeps the compiler from complaining about unused generic type
// parameters.
struct MyMapVisitor<K, V> {
marker: PhantomData<MyMap<K, V>>
}
impl<K, V> MyMapVisitor<K, V> {
fn new() -> Self {
MyMapVisitor {
marker: PhantomData
}
}
}
// This is the trait that Deserializers are going to be driving. There
// is one method for each type of data that our type knows how to
// deserialize from. There are many other methods that are not
// implemented here, for example deserializing from integers or strings.
// By default those methods will return an error, which makes sense
// because we cannot deserialize a MyMap from an integer or string.
impl<K, V> de::Visitor for MyMapVisitor<K, V>
where K: Deserialize,
V: Deserialize
{
// The type that our Visitor is going to produce.
type Value = MyMap<K, V>;
// Deserialize MyMap from an abstract "map" provided by the
// Deserializer. The MapVisitor input is a callback provided by
// the Deserializer to let us see each entry in the map.
fn visit_map<M>(self, mut visitor: M) -> Result<Self::Value, M::Error>
where M: de::MapVisitor
{
let mut values = MyMap::with_capacity(visitor.size_hint().0);
// While there are entries remaining in the input, add them
// into our map.
while let Some((key, value)) = visitor.visit()? {
values.insert(key, value);
}
Ok(values)
}
// As a convenience, provide a way to deserialize MyMap from
// the abstract "unit" type. This corresponds to `null` in JSON.
// If your JSON contains `null` for a field that is supposed to
// be a MyMap, we interpret that as an empty map.
fn visit_unit<E>(self) -> Result<Self::Value, E>
where E: de::Error
{
Ok(MyMap::new())
}
// When an unexpected data type is encountered, this method will
// be invoked to inform the user what is actually expected.
fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {
write!(formatter, "a map or `null`")
}
}
// This is the trait that informs Serde how to deserialize MyMap.
impl<K, V> Deserialize for MyMap<K, V>
where K: Deserialize,
V: Deserialize
{
fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
where D: Deserializer
{
// Instantiate our Visitor and ask the Deserializer to drive
// it over the input data, resulting in an instance of MyMap.
deserializer.deserialize_map(MyMapVisitor::new())
}
}
Vec에 버퍼링하지 않고 값 배열을 처리합니다.
우리가 정수 배열을 가지고 있다고 가정하자. 전체 배열을 한번에 메모리에 저장하지 않고 최대 값을 알아 내고 싶습니다. 이 접근법은 데이터가 후 처리되지 않고 역 직렬화되는 동안 처리되어야하는 다양한 상황을 처리하도록 조정될 수 있습니다.
extern crate serde;
extern crate serde_json;
#[macro_use] extern crate serde_derive;
use serde::{de, Deserialize, Deserializer};
use std::cmp;
use std::fmt;
use std::marker::PhantomData;
#[derive(Deserialize)]
struct Outer {
id: String,
// Deserialize this field by computing the maximum value of a sequence
// (JSON array) of values.
#[serde(deserialize_with = "deserialize_max")]
// Despite the struct field being named `max_value`, it is going to come
// from a JSON field called `values`.
#[serde(rename(deserialize = "values"))]
max_value: u64,
}
/// Deserialize the maximum of a sequence of values. The entire sequence
/// is not buffered into memory as it would be if we deserialize to Vec<T>
/// and then compute the maximum later.
///
/// This function is generic over T which can be any type that implements
/// Ord. Above, it is used with T=u64.
fn deserialize_max<T, D>(deserializer: D) -> Result<T, D::Error>
where T: Deserialize + Ord,
D: Deserializer
{
struct MaxVisitor<T>(PhantomData<T>);
impl<T> de::Visitor for MaxVisitor<T>
where T: Deserialize + Ord
{
/// Return type of this visitor. This visitor computes the max of a
/// sequence of values of type T, so the type of the maximum is T.
type Value = T;
fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {
write!(formatter, "a sequence of numbers")
}
fn visit_seq<V>(self, mut visitor: V) -> Result<T, V::Error>
where V: de::SeqVisitor
{
// Start with max equal to the first value in the seq.
let mut max = match visitor.visit()? {
Some(value) => value,
None => {
// Cannot take the maximum of an empty seq.
let msg = "no values in seq when looking for maximum";
return Err(de::Error::custom(msg));
}
};
// Update the max while there are additional values.
while let Some(value) = visitor.visit()? {
max = cmp::max(max, value);
}
Ok(max)
}
}
// Create the visitor and ask the deserializer to drive it. The
// deserializer will call visitor.visit_seq if a seq is present in
// the input data.
let visitor = MaxVisitor(PhantomData);
deserializer.deserialize_seq(visitor)
}
fn main() {
let j = r#"
{
"id": "demo-deserialize-max",
"values": [
256,
100,
384,
314,
271
]
}
"#;
let out: Outer = serde_json::from_str(j).unwrap();
// Prints "max value: 384"
println!("max value: {}", out.max_value);
}
필기체 제네릭 형식 범위
제네릭 형식 매개 변수를 사용하여 구조체의 Serialize
및 Deserialize
구현을 파생 할 경우 대부분의 경우 Serde는 프로그래머의 도움없이 올바른 특성 경계 를 유추 할 수 있습니다. 그것은 권리 바인딩 추측 몇 가지 추론을 사용하지만, 가장 중요한 것은 그것의 바운드두고 T: Serialize
모든 유형의 매개 변수에 T
직렬화 된 필드의 부분 인의 경계 T: Deserialize
모든 종류의 매개 변수에 T
(A)의 일부이다 비 직렬화 된 필드. 대부분의 휴리스틱과 마찬가지로, 이것이 항상 올바르지는 않으며 Serde는 자동 생성 된 바운드를 프로그래머가 작성한 바운드로 대체하는 이스케이프 해치를 제공합니다.
extern crate serde;
extern crate serde_json;
#[macro_use] extern crate serde_derive;
use serde::de::{self, Deserialize, Deserializer};
use std::fmt::Display;
use std::str::FromStr;
#[derive(Deserialize, Debug)]
struct Outer<'a, S, T: 'a + ?Sized> {
// When deriving the Deserialize impl, Serde would want to generate a bound
// `S: Deserialize` on the type of this field. But we are going to use the
// type's `FromStr` impl instead of its `Deserialize` impl by going through
// `deserialize_from_str`, so we override the automatically generated bound
// by the one required for `deserialize_from_str`.
#[serde(deserialize_with = "deserialize_from_str")]
#[serde(bound(deserialize = "S: FromStr, S::Err: Display"))]
s: S,
// Here Serde would want to generate a bound `T: Deserialize`. That is a
// stricter condition than is necessary. In fact, the `main` function below
// uses T=str which does not implement Deserialize. We override the
// automatically generated bound by a looser one.
#[serde(bound(deserialize = "Ptr<'a, T>: Deserialize"))]
ptr: Ptr<'a, T>,
}
/// Deserialize a type `S` by deserializing a string, then using the `FromStr`
/// impl of `S` to create the result. The generic type `S` is not required to
/// implement `Deserialize`.
fn deserialize_from_str<S, D>(deserializer: D) -> Result<S, D::Error>
where S: FromStr,
S::Err: Display,
D: Deserializer
{
let s: String = try!(Deserialize::deserialize(deserializer));
S::from_str(&s).map_err(|e| de::Error::custom(e.to_string()))
}
/// A pointer to `T` which may or may not own the data. When deserializing we
/// always want to produce owned data.
#[derive(Debug)]
enum Ptr<'a, T: 'a + ?Sized> {
Ref(&'a T),
Owned(Box<T>),
}
impl<'a, T: 'a + ?Sized> Deserialize for Ptr<'a, T>
where Box<T>: Deserialize
{
fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
where D: Deserializer
{
let box_t = try!(Deserialize::deserialize(deserializer));
Ok(Ptr::Owned(box_t))
}
}
fn main() {
let j = r#"
{
"s": "1234567890",
"ptr": "owned"
}
"#;
let result: Outer<u64, str> = serde_json::from_str(j).unwrap();
// result = Outer { s: 1234567890, ptr: Owned("owned") }
println!("result = {:?}", result);
}
다른 상자에있는 유형에 대해 직렬화 및 비 직렬화 구현
Rust의 일관성 규칙 은 형질을 구현하고있는 형질이나 형질이 impl과 같은 상자에 정의되어야하므로 다른 형의 형에 대해 Serialize와 Deserialize를 직접 구현하는 것은 불가능합니다. newtype 패턴 과 Deref
강제 변환 은 원하는 것과 같은 방식으로 동작하는 유형에 대해 직렬화 및 비 직렬화를 구현하는 방법을 제공합니다.
use serde::{Serialize, Serializer, Deserialize, Deserializer};
use std::ops::Deref;
// Pretend this module is from some other crate.
mod not_my_crate {
pub struct Data { /* ... */ }
}
// This single-element tuple struct is called a newtype struct.
struct Data(not_my_crate::Data);
impl Serialize for Data {
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
where S: Serializer
{
// Any implementation of Serialize.
}
}
impl Deserialize for Data {
fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
where D: Deserializer
{
// Any implementation of Deserialize.
}
}
// Enable `Deref` coercion.
impl Deref for Data {
type Target = not_my_crate::Data;
fn deref(&self) -> &Self::Target {
&self.0
}
}
// Now `Data` can be used in ways that require it to implement
// Serialize and Deserialize.
#[derive(Serialize, Deserialize)]
struct Outer {
id: u64,
name: String,
data: Data,
}
Modified text is an extract of the original Stack Overflow Documentation
아래 라이선스 CC BY-SA 3.0
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