Rust serde

Serde is a framework for ser ializing and de serializing Rust data structures efficiently and generically, rust serde. 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 rust serde 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 rust serde on Rust's powerful trait system.

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. Deserialize this field from the given name or from its Rust name. May be repeated to specify multiple possible names for the same field. If the value is not present when deserializing, call a function to get a default value. This removes one level of structure between the serialized representation and the Rust data structure representation.

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. Token streams , for processing Rust procedural macro input.

These derives require a Rust compiler version 1, rust serde. 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. From rust serde Rust compiler's perspective these are totally different traits.

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.

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.

Rust serde

It is more flexible and composable, but work with fewer types. You can specify converters for the inner types of a field, e. For example, the mime field from above could be nested in one or more data structures:. This means the field can still be missing during deserialization and will be filled with the value None. Then it becomes necessary to apply [serde default ] on the field in question. These variants are detected as Option. Any renaming will interfere with the detection, such as use std::option::Option as StdOption;. You also find them implemented on the conversion types, such as the DisplayFromStr type.

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Available on crate feature std and Unix or Windows only. Deserialize this field from the given name or from its Rust name. Report repository. 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. Custom properties. The following is a partial list of data formats that have been implemented for Serde by the community. The fix is to upgrade or downgrade libraries as appropriate until the Serde versions match. From the Rust compiler's perspective these are totally different traits. 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. The cargo tree -d command is helpful for finding all the places that duplicate dependencies are being pulled in. Reload to refresh your session.

Some common use cases are:. Check out the user guide to find out more tips and tricks about this crate. For further help using this crate you can open a new discussion or ask on users.

Serialization will not attempt to deduplicate these repeated data. The following is a partial list of data formats that have been implemented for Serde by the community. View all files. This impl requires the "rc" Cargo feature of Serde. It can be used for factoring common keys into a shared structure, or for capturing remaining fields into a map with arbitrary string keys. Owners dtolnay github:serde-rs:publish. Branches Tags. 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. Deserialize this field from the given name or from its Rust name. Using the derive macro goes like this:. This trait is not object safe. On rare occasions, for an especially convoluted type you may need to implement the traits manually. See the Implementing Serialize section of the manual for more information about how to implement this method. 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.