console VS prost

tokio-console is a debugger for Rust async programs that use Tokio. To get started, add the console-subscriber crate to your project and add the following line which will initialise the subscriber and allow tokio-console to connect to it:

You could try https://github.com/tokio-rs/console to debug and profile what happens with tokio tasks in your program.

The tokio-console CLI is a fun one. The console-subscriber supports shipping to a console server running elsewhere, apparently. That gives you a window into what's happening now.

Tokio console maybe? https://github.com/tokio-rs/console

If I add "console_subscriber::init()" line as https://github.com/tokio-rs/console recommends, tracing_subscriber cannot be initialized.

I'm building an HTTP load tester called pdc! I have run out of obvious (to me at least) places to look for performance gains. I'm achieving around 45,000 requests per second, per core. Right now I'm using hyper with a separate tokio runtime (in current thread mode) running on each core. So far having runtime on each core/NUMA node has really helped with cache coherency. Any recommendations for profiling beyond tokio console or tokio metrics (Convenient timing amirite!)?

It was just an accident and has been fixed https://github.com/tokio-rs/console/issues/270.

P.S. Tokio [now also has Tokio Console](https://github.com/tokio-rs/console) allowing you to conveniently troubleshoot your tasks if they are causing issues :)

You can opt-in to async runtime such as tokio, and you can use tokio-rs/console for it's top-like metric

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.