serde

Serde

A data structure that can be serialized into any data format supported by Serde, 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.

Serde

Serde is a framework for ser ializing and de serializing Rust data structures efficiently and generically. JSON is a ubiquitous open-standard format that uses human-readable text to transmit data objects consisting of key-value pairs. Serde JSON provides efficient, flexible, safe ways of converting data between each of these representations. Any valid JSON data can be manipulated in the following recursive enum representation. If the type of the data is not right for the type with which it is being indexed, or if a map does not contain the key being indexed, or if the index into a vector is out of bounds, the returned element is Value::Null. The Value representation is sufficient for very basic tasks but can be tedious to work with for anything more significant. Error handling is verbose to implement correctly, for example imagine trying to detect the presence of unrecognized fields in the input data. The compiler is powerless to help you when you make a mistake, for example imagine typoing v["name"] as v["nmae"] in one of the dozens of places it is used in your code. Any type that implements Serde's Deserialize trait can be deserialized this way. Once we have p of type Person , our IDE and the Rust compiler can help us use it correctly like they do for any other Rust code. And the Rust compiler can check that when we write p. The necessary setup for using Serde's derive macros is explained on the Using derive page of the Serde site. Serde JSON provides a json! One neat thing about the json!

Serde provides Serialize implementations for many Rust primitive and standard library types, serde. A data structure that can be serialized into any data format supported by Serde. Download serde Download the file for your platform.

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.

Attributes are used to customize the Serialize and Deserialize implementations produced by Serde's derive. They require a Rust compiler version 1. 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. Attributes Attributes are used to customize the Serialize and Deserialize implementations produced by Serde's derive. There are three categories of attributes: Container attributes — apply to a struct or enum declaration. Variant attributes — apply to a variant of an enum. Field attributes — apply to one field in a struct or in an enum variant.

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. Version 1. Serde Serde is a framework for ser ializing and de serializing Rust data structures efficiently and generically.

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If these methods of creating custom Field classes are not satisfactory, you can always subclass a Field and override the relevant methods. See the Implementing Serialize section of the manual for more about this. TOML , a minimal configuration format used by Cargo. If you're not sure which to choose, learn more about installing packages. Serde JSON provides a json! List User When instantiating you have to supply instances of the nested models. Deserialize derive. Models can be subclassed. TypeError : unable to instantiate abstract model 'Fruit' Custom tags It is possible to create your own custom tag class by subclassing any of tags. A data structure that can be serialized into any data format supported by Serde. Feb 20, Str class Album Model : title : fields. Sep 24, The released field is of type datetime. Model tagging is a way to mark serialized data in order to show that it is a particular variant of a model.

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.

Always required when using Serde. Available on crate feature rc and crate features std or alloc only. Email The corresponding attribute names are used to instantiate the model object and access the values on the model instance. Last commit date. The released field is of type datetime. 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. If the type of the data is not right for the type with which it is being indexed, or if a map does not contain the key being indexed, or if the index into a vector is out of bounds, the returned element is Value::Null. Model tagging is a way to mark serialized data in order to show that it is a particular variant of a model. In addition, Serde provides a derive macro to generate serialization implementations for structs in your own program. 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.

3 thoughts on “Serde

  1. It is a pity, that now I can not express - it is very occupied. I will be released - I will necessarily express the opinion.

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