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Quick Overview
msgpack-rust is a Rust implementation of the MessagePack serialization format. It provides a fast and efficient way to serialize and deserialize Rust data structures to and from MessagePack, a compact binary format for data exchange.
Pros
- High performance and low overhead serialization
- Supports custom types and user-defined serialization
- Integrates well with Serde, Rust's popular serialization framework
- Actively maintained and regularly updated
Cons
- Limited documentation compared to some other Rust serialization libraries
- May have a steeper learning curve for developers new to MessagePack
- Fewer ecosystem tools compared to more established formats like JSON
Code Examples
Serializing a struct:
use rmp_serde::{Serializer, Deserializer};
use serde::{Serialize, Deserialize};
#[derive(Serialize, Deserialize)]
struct Person {
name: String,
age: u32,
}
let person = Person {
name: "Alice".to_string(),
age: 30,
};
let mut buf = Vec::new();
person.serialize(&mut Serializer::new(&mut buf)).unwrap();
Deserializing data:
use rmp_serde::{from_read};
use serde::{Deserialize};
#[derive(Deserialize)]
struct Data {
value: i32,
}
let bytes = vec![0x91, 0x2A];
let data: Data = from_read(&bytes[..]).unwrap();
assert_eq!(data.value, 42);
Custom type serialization:
use rmp_serde::{Serializer};
use serde::{Serialize, Serializer as _};
struct CustomType(i32);
impl Serialize for CustomType {
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
where
S: serde::Serializer,
{
serializer.serialize_i32(self.0)
}
}
let custom = CustomType(123);
let mut buf = Vec::new();
custom.serialize(&mut Serializer::new(&mut buf)).unwrap();
Getting Started
To use msgpack-rust in your Rust project, add the following to your Cargo.toml
:
[dependencies]
rmp = "0.8"
rmp-serde = "1.1"
serde = { version = "1.0", features = ["derive"] }
Then, in your Rust code:
use rmp_serde::{Serializer, Deserializer};
use serde::{Serialize, Deserialize};
#[derive(Serialize, Deserialize)]
struct MyStruct {
// Define your struct fields here
}
// Use Serializer and Deserializer as shown in the examples above
Competitor Comparisons
Serialization framework for Rust
Pros of serde
- More comprehensive serialization/deserialization framework supporting multiple formats
- Widely adopted in the Rust ecosystem with extensive community support
- Offers derive macros for easy implementation of serialization traits
Cons of serde
- Larger dependency footprint due to its comprehensive nature
- May have a steeper learning curve for simple use cases
- Potentially slower compilation times due to macro expansion
Code Comparison
serde example:
#[derive(Serialize, Deserialize)]
struct Point {
x: i32,
y: i32,
}
let point = Point { x: 1, y: 2 };
let serialized = serde_json::to_string(&point).unwrap();
msgpack-rust example:
use rmp_serde::{Serializer, Deserializer};
let point = Point { x: 1, y: 2 };
let mut buf = Vec::new();
point.serialize(&mut Serializer::new(&mut buf)).unwrap();
While both libraries can handle MessagePack format, serde provides a more generic approach to serialization, supporting multiple formats out of the box. msgpack-rust is more focused on the MessagePack format specifically, which may lead to a simpler API for MessagePack-only use cases. serde's wider adoption and extensive derive macros make it more convenient for complex data structures, but this comes at the cost of increased complexity and potential performance overhead in some scenarios.
A binary encoder / decoder implementation in Rust.
Pros of bincode
- Designed specifically for Rust, offering better integration with Rust's type system
- Generally faster serialization and deserialization compared to msgpack-rust
- Produces more compact binary representations for Rust-specific data structures
Cons of bincode
- Limited cross-language compatibility, primarily focused on Rust ecosystems
- Less flexible for handling dynamic or schema-less data compared to msgpack-rust
- Lacks built-in support for certain data types (e.g., timestamps) that msgpack-rust handles natively
Code Comparison
msgpack-rust serialization:
use rmp_serde::{Serializer, Deserializer};
let mut buf = Vec::new();
value.serialize(&mut Serializer::new(&mut buf)).unwrap();
bincode serialization:
use bincode;
let encoded: Vec<u8> = bincode::serialize(&value).unwrap();
Both libraries offer straightforward serialization methods, but bincode's API is slightly more concise and idiomatic for Rust. msgpack-rust provides more flexibility with its Serializer, allowing for fine-tuned control over the serialization process.
While msgpack-rust excels in cross-language scenarios and handling diverse data types, bincode shines in pure Rust environments, offering better performance and tighter integration with Rust's type system. The choice between the two depends on the specific requirements of your project, such as cross-language compatibility needs and the types of data being serialized.
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RMP - Rust MessagePack
RMP is a complete pure-Rust MessagePack implementation. MessagePack a compact self-describing binary serialization format.
This project consists of three crates:
- RMP-Serde (Documentation) â easy serializing/deserializing via Serde.
- RMP-Value (Documentation) â a universal
Value
enum that can hold any MessagePack type. Allows deserializing arbitrary messages without a known schema. - RMP (Documentation) â low-level functions for reading/writing encoded data.
Features
-
Convenient and powerful APIs
RMP is designed to be lightweight and straightforward. There is a high-level API with support for Serde, which provides you convenient interface for encode/decode Rust's data structures using
derive
attribute. There are also low-level APIs, which give you full control over data encoding/decoding process, with no-std support and without heap allocations. -
Zero-copy value decoding
RMP allows to decode bytes from a buffer in a zero-copy manner. Parsing is implemented in safe Rust.
-
Robust, stable and tested
This project is developed using TDD and CI, so any found bugs will be fixed without breaking existing functionality.
Why MessagePack?
It's smaller and much simpler to parse than JSON. The encoded data is self-describing and extensible, without using any schema definitions. It supports the same data types as JSON, plus binary data, non-string map keys, all float values, and 64-bit numbers. Msgpack values use <lenght><data>
encoding, so they can be safely concatenated and read from a stream.
MessagePack is similar to CBOR, but has simpler data types (no bignums, decimal floats, dates, or indefinite-length sets, etc.)
Requirements
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