prost VS protobuf-go

The benchmark is not comparing apples to apples.

prost is the most widely used Protobuf implementation in Rust, maintained by the Tokio organization. prost generates structs and serialization/deserialization code for you.

easyproto according to GitHib Search is used only by two projects. easyproto provides primitives for serializing and deserializing Protobuf, and requires hand writing code to do both.

A fair comparison would be prost vs google.golang.org/protobuf, or easyproto vs parts of quick-protobuf.

In most cases you can make Go as fast as Rust, but from my experience writing performance-sensitive code in Go requires significantly larger time investment and overall requires deeper language expertise. Pebble (RocksDB replacement in Go by CockroachDB) is a good example of this, the codebase is littered with hand-inlined[1] functions, hand-unrolled loops and it's not[2] even using Go memory management for performance critical parts, it's using the C memory allocator and manual memory management.

[prost]: https://github.com/tokio-rs/prost

You could use Protocol buffers to define a message type, then use prost to generate encoding/decoding code for that type.

Thanks but that doesn't seems to support `json_mapping` , there is a draft available but not sure when it will get merged https://github.com/tokio-rs/prost/pull/558

Hi r/rust, I have a question regarding tonic-build (or prost-build).

Currently, I'm making some stuff by using protobuf via prost. Maybe you know, protobuf v3 treats all fields as optional, so it is pain to unwrap every nested field.

Note: one additional key feature currently missing from Prost is Proto2 extensions.

Protocol Buffers: https://developers.google.com/protocol-buffers

ProtocolBuffers’ OneOf message addresses the case of having a message with many fields where at most one field will be set at the same time.

That's definitely the bigger thing. I think something like Protocol Buffers (Protobuf) is what you're looking for there. Output the data and consume it by something that can handle the analysis.

These protocols prevent an O(N x M) explosion of code that have to solve for many cases. For example, since JSON is an almost ubiquitous format for wire transfer (although other things do exist like protobufs), if I had N data formats that I want to serialize, I only need to write N serializers/deserializers (SerDes). If there was no such narrow waist and there were M alternatives to JSON in wide usage, I would have to write N x M SerDes for wire encoding my data.

So, I thought this at one point, too. But it turns out that methods is a type alias to an unnamed type, so there's no package level privacy issues: https://github.com/protocolbuffers/protobuf-go/blob/v1.26.0/...