Rust serde

Serde is a rust serde 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, rust serde.

Serde is a framework for ser ializing and 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. 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. Skip to content. You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window.

Rust serde

Serde provides a derive macro to generate implementations of the Serialize and Deserialize traits for data structures defined in your crate, allowing them to be represented conveniently in all of Serde's data formats. You only need to set this up if your code is using [derive Serialize, Deserialize ]. This functionality is based on Rust's [derive] mechanism, just like what you would use to automatically derive implementations of the built-in Clone , Copy , Debug , or other traits. It is able to generate implementations for most structs and enums including ones with elaborate generic types or trait bounds. On rare occasions, for an especially convoluted type you may need to implement the traits manually. This almost always means that you are using libraries that depend on incompatible versions of Serde. You may be depending on serde 1. So the Serialize trait from serde 1. From the Rust compiler's perspective these are totally different traits. The fix is to upgrade or downgrade libraries as appropriate until the Serde versions match. The cargo tree -d command is helpful for finding all the places that duplicate dependencies are being pulled in. Overview Help Serde data model Using derive Attributes Container attributes Variant attributes Field attributes Custom serialization Implementing Serialize Implementing Deserialize Unit testing Writing a data format Conventions Error handling Implementing a Serializer Implementing a Deserializer Deserializer lifetimes Examples Structs and enums in JSON Enum representations Default value for a field Struct flattening Handwritten generic type bounds Deserialize for custom map type Array of values without buffering Serialize enum as number Serialize fields as camelCase Skip serializing field Derive for remote crate Manually deserialize struct Discarding data Transcode into another format Either string or struct Convert error types Custom date format No-std support Feature flags.

Bencodea simple binary format used in the BitTorrent protocol.

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. In rare cases it may be necessary to implement Serialize manually for some type in your program.

Serde provides a derive macro to generate implementations of the Serialize and Deserialize traits for data structures defined in your crate, allowing them to be represented conveniently in all of Serde's data formats. You only need to set this up if your code is using [derive Serialize, Deserialize ]. This functionality is based on Rust's [derive] mechanism, just like what you would use to automatically derive implementations of the built-in Clone , Copy , Debug , or other traits. It is able to generate implementations for most structs and enums including ones with elaborate generic types or trait bounds. On rare occasions, for an especially convoluted type you may need to implement the traits manually. This almost always means that you are using libraries that depend on incompatible versions of Serde. You may be depending on serde 1. So the Serialize trait from serde 1. From the Rust compiler's perspective these are totally different traits.

Rust serde

The Serialize trait looks like this:. In most cases Serde's derive is able to generate an appropriate implementation of Serialize for structs and enums defined in your crate. Should you need to customize the serialization behavior for a type in a way that derive does not support, you can implement Serialize yourself. As the simplest example, here is the builtin Serialize impl for the primitive i For example you could serialize a C-like enum as a primitive number. The usual examples are Rust tuples and arrays. Serde distinguishes between four types of structs. Ordinary structs and tuple structs follow the three-step process of init, elements, end just like a sequence or map. Newtype structs and unit structs are more like primitives. Structs and maps may look similar in some formats, including JSON.

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Serialization will not attempt to deduplicate these repeated data. Deserialize derive. Where many other languages rely on runtime reflection for serializing data, Serde is instead built on Rust's powerful trait system. This replaces any trait bounds inferred by Serde for the current field. URL query strings, in the x-www-form-urlencoded format. This impl requires the "rc" Cargo feature of Serde. Serialize this value into the given Serde serializer. Branches Tags. History 3, Commits. You signed in with another tab or window. Overview Help Serde data model Using derive Attributes Container attributes Variant attributes Field attributes Custom serialization Implementing Serialize Implementing Deserialize Unit testing Writing a data format Conventions Error handling Implementing a Serializer Implementing a Deserializer Deserializer lifetimes Examples Structs and enums in JSON Enum representations Default value for a field Struct flattening Handwritten generic type bounds Deserialize for custom map type Array of values without buffering Serialize enum as number Serialize fields as camelCase Skip serializing field Derive for remote crate Manually deserialize struct Discarding data Transcode into another format Either string or struct Convert error types Custom date format No-std support Feature flags. This avoids any overhead of reflection or runtime type information.

The Serde data model is the API by which data structures and data formats interact.

Report repository. Feb 20, You may be depending on serde 1. Folders and files Name Name Last commit message. A data format that can serialize any data structure supported by Serde. Bencode , a simple binary format used in the BitTorrent protocol. Custom properties. 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. Serialization will not attempt to deduplicate these repeated data. This avoids any overhead of reflection or runtime type information. May be repeated to specify multiple possible names for the same field. The cargo tree -d command is helpful for finding all the places that duplicate dependencies are being pulled in. These derives require a Rust compiler version 1. Serialize derive.