Rust serde

Serde is a framework for ser ializing rust serde de serializing Rust data structures efficiently and generically. Serde is one of the most widely used Rust libraries so any place that Rustaceans congregate will be able to help you out, rust serde.

Serde is a framework for ser ializing and de serializing Rust data structures efficiently and generically. The Serde ecosystem consists of data structures that know how to serialize and deserialize themselves along with data formats that know how to serialize and deserialize other things. Serde provides the layer by which these two groups interact with each other, allowing any supported data structure to be serialized and deserialized using any supported data format. Where many other languages rely on runtime reflection for serializing data, Serde is instead built on Rust's powerful trait system. A data structure that knows how to serialize and deserialize itself is one that implements Serde's Serialize and Deserialize traits or uses Serde's derive attribute to automatically generate implementations at compile time. This avoids any overhead of reflection or runtime type information. In fact in many situations the interaction between data structure and data format can be completely optimized away by the Rust compiler, leaving Serde serialization to perform the same speed as a handwritten serializer for the specific selection of data structure and data format.

Rust serde

Serde is a framework for ser ializing and de serializing Rust data structures efficiently and generically. The Serde ecosystem consists of data structures that know how to serialize and deserialize themselves along with data formats that know how to serialize and deserialize other things. Serde provides the layer by which these two groups interact with each other, allowing any supported data structure to be serialized and deserialized using any supported data format. This avoids any overhead of reflection or runtime type information. In fact in many situations the interaction between data structure and data format can be completely optimized away by the Rust compiler, leaving Serde serialization to perform the same speed as a handwritten serializer for the specific selection of data structure and data format. The following is a partial list of data formats that have been implemented for Serde by the community. Owners dtolnay github:serde-rs:publish. TOML , a minimal configuration format used by Cargo. Pickle , a format common in the Python world. Avro , a binary format used within Apache Hadoop, with support for schema definition. URL query strings, in the x-www-form-urlencoded format. Starlark , the format used for describing build targets by the Bazel and Buck build systems. Bencode , a simple binary format used in the BitTorrent protocol.

Third-party crates may provide Serialize implementations for types that they expose.

A data structure that can be serialized into any data format supported by Serde. Serde provides Serialize implementations for many Rust primitive and standard library types. The complete list is here. All of these can be serialized using Serde out of the box. See the derive section of the manual for how to use this.

The Serde data model is the API by which data structures and data formats interact. You can think of it as Serde's type system. In code, the serialization half of the Serde data model is defined by the Serializer trait and the deserialization half is defined by the Deserializer trait. These are a way of mapping every Rust data structure into one of 29 possible types. Each method of the Serializer trait corresponds to one of the types of the data model. When serializing a data structure to some format, the Serialize implementation for the data structure is responsible for mapping the data structure into the Serde data model by invoking exactly one of the Serializer methods, while the Serializer implementation for the data format is responsible for mapping the Serde data model into the intended output representation. When deserializing a data structure from some format, the Deserialize implementation for the data structure is responsible for mapping the data structure into the Serde data model by passing to the Deserializer a Visitor implementation that can receive the various types of the data model, while the Deserializer implementation for the data format is responsible for mapping the input data into the Serde data model by invoking exactly one of the Visitor methods. The Serde data model is a simplified form of Rust's type system. It consists of the following 29 types:.

Rust serde

Serde is a framework for ser ializing and de serializing Rust data structures efficiently and generically. The Serde ecosystem consists of data structures that know how to serialize and deserialize themselves along with data formats that know how to serialize and deserialize other things. Serde provides the layer by which these two groups interact with each other, allowing any supported data structure to be serialized and deserialized using any supported data format. Where many other languages rely on runtime reflection for serializing data, Serde is instead built on Rust's powerful trait system. A data structure that knows how to serialize and deserialize itself is one that implements Serde's Serialize and Deserialize traits or uses Serde's derive attribute to automatically generate implementations at compile time. This avoids any overhead of reflection or runtime type information.

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Call a function to determine whether to skip serializing this field. Avro , a binary format used within Apache Hadoop, with support for schema definition. The following is a partial list of data formats that have been implemented for Serde by the community. Licenses found. Pickle , a format common in the Python world. Report repository. Serde provides Serialize implementations for many Rust primitive and standard library types. Folders and files Name Name Last commit message. This replaces any trait bounds inferred by Serde for the current field. In addition, Serde provides a derive macro to generate serialization implementations for structs in your own program. The cargo tree -d command is helpful for finding all the places that duplicate dependencies are being pulled in. The Serde ecosystem consists of data structures that know how to serialize and deserialize themselves along with data formats that know how to serialize and deserialize other things. A data structure that can be serialized into any data format supported by Serde.

It is more flexible and composable, but work with fewer types.

You may be depending on serde 1. In fact in many situations the interaction between data structure and data format can be completely optimized away by the Rust compiler, leaving Serde serialization to perform the same speed as a handwritten serializer for the specific selection of data structure and data format. See the Implementing Serialize section of the manual for more about this. Dismiss alert. These derives require a Rust compiler version 1. Starlark , the format used for describing build targets by the Bazel and Buck build systems. Hjson , a syntax extension to JSON designed around human reading and editing. Using derive. A data format that can deserialize any data structure supported by Serde. Deserialize this field from the given name or from its Rust name. It can be used for factoring common keys into a shared structure, or for capturing remaining fields into a map with arbitrary string keys. Notifications Fork Star 8. Pickle , a format common in the Python world. It's acceptable to file a support issue in this repo but they tend not to get as many eyes as any of the above and may get closed without a response after some time. TOML , a minimal configuration format used by Cargo.