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A thin wrapper around serialized data which add information of identity and version.

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Native model

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Add interoperability on the top of serialization formats like bincode, postcard etc.

See concepts for more details.

Goals

  • Interoperability: Allows different applications to work together, even if they are using different versions of the data model.
  • Data Consistency: Ensure that we process the data expected model.
  • Flexibility: You can use any serialization format you want. More details here.
  • Performance: A minimal overhead (encode: ~20 ns, decode: ~40 ps). More details here.

Usage

       Application 1 (DotV1)        Application 2 (DotV1 and DotV2)
                |                                  |
   Encode DotV1 |--------------------------------> | Decode DotV1 to DotV2
                |                                  | Modify DotV2
   Decode DotV1 | <--------------------------------| Encode DotV2 back to DotV1
                |                                  |
// Application 1
let dot = DotV1(1, 2);
let bytes = native_model::encode(&dot).unwrap();

// Application 1 sends bytes to Application 2.

// Application 2
// We are able to decode the bytes directly into a new type DotV2 (upgrade).
let (mut dot, source_version) = native_model::decode::<DotV2>(bytes).unwrap();
assert_eq!(dot, DotV2 { 
    name: "".to_string(), 
    x: 1, 
    y: 2 
});
dot.name = "Dot".to_string();
dot.x = 5;
// For interoperability, we encode the data with the version compatible with Application 1 (downgrade).
let bytes = native_model::encode_downgrade(dot, source_version).unwrap();

// Application 2 sends bytes to Application 1.

// Application 1
let (dot, _) = native_model::decode::<DotV1>(bytes).unwrap();
assert_eq!(dot, DotV1(5, 2));
  • Full example here.

Serialization format

You can use default serialization formats via the feature flags, like:

[dependencies]
native_model = { version = "0.1", features = ["bincode_2_rc"] }

Each feature flag corresponds to a specific minor version of the serialization format. In order to avoid breaking changes, the default serialization format is the oldest one.

Custom serialization format

Define a struct with the name you want. This struct must implement native_model::Encode and native_model::Decode traits.

Full examples:

Others examples, see the default implementations:

Data model

Define your model using the macro native_model.

Attributes:

  • id = u32: The unique identifier of the model.
  • version = u32: The version of the model.
  • with = type: The serialization format that you use for the Encode/Decode implementation. Setup here.
  • from = type: Optional, the previous version of the model.
    • type: The previous version of the model that you use for the From implementation.
  • try_from = (type, error): Optional, the previous version of the model with error handling.
    • type: The previous version of the model that you use for the TryFrom implementation.
    • error: The error type that you use for the TryFrom implementation.
use native_model::native_model;

#[derive(Deserialize, Serialize, PartialEq, Debug)]
#[native_model(id = 1, version = 1)]
struct DotV1(u32, u32);

#[derive(Deserialize, Serialize, PartialEq, Debug)]
#[native_model(id = 1, version = 2, from = DotV1)]
struct DotV2 {
    name: String,
    x: u64,
    y: u64,
}

// Implement the conversion between versions From<DotV1> for DotV2 and From<DotV2> for DotV1.

#[derive(Deserialize, Serialize, PartialEq, Debug)]
#[native_model(id = 1, version = 3, try_from = (DotV2, anyhow::Error))]
struct DotV3 {
    name: String,
    cord: Cord,
}

#[derive(Deserialize, Serialize, PartialEq, Debug)]
struct Cord {
    x: u64,
    y: u64,
}

// Implement the conversion between versions From<DotV2> for DotV3 and From<DotV3> for DotV2.

Status

Early development. Not ready for production.

Concepts

In order to understand how the native model works, you need to understand the following concepts.

  • Identity(id): The identity is the unique identifier of the model. It is used to identify the model and prevent to decode a model into the wrong Rust type.
  • Version(version) The version is the version of the model. It is used to check the compatibility between two models.
  • Encode: The encode is the process of converting a model into a byte array.
  • Decode: The decode is the process of converting a byte array into a model.
  • Downgrade: The downgrade is the process of converting a model into a previous version of the model.
  • Upgrade: The upgrade is the process of converting a model into a newer version of the model.

Under the hood, the native model is a thin wrapper around serialized data. The id and the version are twice encoded with a little_endian::U32. That represents 8 bytes, that are added at the beginning of the data.

+------------------+------------------+------------------------------------+
|     ID (4 bytes) | Version (4 bytes)| Data (indeterminate-length bytes)  |
+------------------+------------------+------------------------------------+

Full example here.

Performance

Native model has been designed to have a minimal and constant overhead. That means that the overhead is the same whatever the size of the data. Under the hood we use the zerocopy crate to avoid unnecessary copies.

👉 To know the total time of the encode/decode, you need to add the time of your serialization format.

Resume:

  • Encode: ~20 ns
  • Decode: ~40 ps
data size encode time (ns) decode time (ps)
1 B 19.769 ns - 20.154 ns 40.526 ps - 40.617 ps
1 KiB 19.597 ns - 19.971 ns 40.534 ps - 40.633 ps
1 MiB 19.662 ns - 19.910 ns 40.508 ps - 40.632 ps
10 MiB 19.591 ns - 19.980 ns 40.504 ps - 40.605 ps
100 MiB 19.669 ns - 19.867 ns 40.520 ps - 40.644 ps

Benchmark of the native model overhead here.

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A thin wrapper around serialized data which add information of identity and version.

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