Serde

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

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.

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. The following is a partial list of data formats that have been implemented for Serde by the community. Out of the box, Serde is able to serialize and deserialize common Rust data types in any of the above formats. In addition, Serde provides a derive macro to generate serialization implementations for structs in your own program. Using the derive macro goes like this:. 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 is serde convenient, but we have the problem we had before with Value : the IDE and Rust compiler cannot help us if we get it wrong, 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.

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

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.

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Custom properties. Where many other languages rely on runtime reflection for serializing data, Serde is instead built on Rust's powerful trait system. Str class Album Model : title : fields. Search PyPI Search. 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. Mar 30, Go to file. We can then subclass this model and deserialize arbitrary subclasses using the tagged model. Sized ,. Report repository. Between 0. 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. Notifications Fork Star 4. For example from serde import Model , fields , validators class Album Model : title : fields.

Serialize and deserialize this field with the given name instead of its Rust name. This is useful for serializing fields as camelCase or serializing fields with names that are reserved Rust keywords.

It is common to have this model be abstract. A data format that can serialize any data structure supported by Serde. Adjacently tagged data data stores the tag value and the content underneath two separate keys. Dismiss alert. This can be made possible through model tagging. Custom properties. Bool We refer to the Dog and Cat subclasses as variants of Pet. These fields handle serialization, deserialization, normalization, and validation for the corresponding model attributes. Report repository. Models can be nested and used in container-like fields. Where many other languages rely on runtime reflection for serializing data, Serde is instead built on Rust's powerful trait system.