Serde

Serde is a framework for ser serde and de serializing Rust data structures efficiently and generically, serde. JSON is a ubiquitous open-standard format that uses human-readable text to transmit data objects consisting of key-value pairs.

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.

Serde

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. See the Implementing Serialize section of the manual for more about this. Third-party crates may provide Serialize implementations for types that they expose. See the Implementing Serialize section of the manual for more information about how to implement this method. This impl requires the "rc" Cargo feature of Serde. Serializing a data structure containing Rc will serialize a copy of the contents of the Rc each time the Rc is referenced within the data structure. Serialization will not attempt to deduplicate these repeated data. Serializing a data structure containing Arc will serialize a copy of the contents of the Arc each time the Arc is referenced within the data structure. Owners dtolnay github:serde-rs:publish.

Feb 20, Go to file. Dec 19,

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.

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.

Serde

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.

Anchorage ak fedex

Below we create a Blog with an author and a list of subscribers which must all be User instances. And the Rust compiler can check that when we write p. 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. Licenses found. External , tags. Apr 4, Report repository. Model tagging is a way to mark serialized data in order to show that it is a particular variant of a model. Serialization framework for Rust serde. Data structures are defined by subclassing Model and assigning Field instances as class annotations. Any valid JSON data can be manipulated in the following recursive enum representation.

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.

Normalization happens after instantiation and after deserialization. Sep 8, Skip to content. Models can be nested and used in container-like fields. Skip to content. Helper macro when implementing the Deserializer part of a new data format for Serde. Models are also validated when they are deserialized. Mar 30, JSON is a ubiquitous open-standard format that uses human-readable text to transmit data objects consisting of key-value pairs. Download files Download the file for your platform. Nested User Dec 19,