#tracing #async #tokio #logging #tracing-subscriber

tracing-forest

Preserving contextual coherence among trace data from concurrent tasks

5 releases

new 0.1.4 May 12, 2022
0.1.3 Jan 22, 2022
0.1.2 Jan 22, 2022
0.1.1 Jan 22, 2022
0.1.0 Jan 1, 2022

#82 in Debugging

Download history 13/week @ 2022-01-27 7/week @ 2022-02-10 5/week @ 2022-02-17 1/week @ 2022-02-24 1/week @ 2022-03-03 8/week @ 2022-03-10 25/week @ 2022-03-17 4/week @ 2022-03-24 1/week @ 2022-03-31 6/week @ 2022-04-07 3/week @ 2022-04-14 36/week @ 2022-04-28 31/week @ 2022-05-05 104/week @ 2022-05-12

171 downloads per month

MIT license

93KB
1.5K SLoC

tracing-forest

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Preserve contextual coherence among trace data from concurrent tasks.

Overview

tracing is a framework for instrumenting programs to collect structured and async-aware diagnostics via the Subscriber trait. The tracing-subscriber crate provides tools for composing Subscribers from smaller units. This crate extends tracing-subscriber by providing ForestLayer, a Layer that preserves contextual coherence of trace data from concurrent tasks when logging.

This crate is intended for programs running many nontrivial and disjoint tasks concurrently, like server backends. Unlike other Subscribers which simply keep track of the context of an event, tracing-forest preserves the contextual coherence when writing logs even in parallel contexts, allowing readers to easily trace a sequence of events from the same task.

tracing-forest is intended for authoring applications.

Getting started

The easiest way to get started is to enable all features. Do this by adding the following to your Cargo.toml file:

tracing-forest = { version = "0.1.4", features = ["full"] }

Then, add tracing_forest::init to your main function:

fn main() {
    tracing_forest::init();
    // ...
}

Contextual coherence in action

Similar to this crate, the tracing-tree crate collects and writes trace data as a tree. Unlike this crate, it doesn't maintain contextual coherence in parallel contexts.

Observe the below program, which simulates serving multiple clients concurrently.

use tracing::info;
use tracing_subscriber::{layer::SubscriberExt, util::SubscriberInitExt, Registry};
use tracing_tree::HierarchicalLayer;

#[tracing::instrument]
async fn conn(id: u32) {
    for i in 0..3 {
        some_expensive_operation().await;
        info!(id, "step {}", i);
    }
}

#[tokio::main(flavor = "multi_thread")]
async fn main() {
    // Use a `tracing-tree` subscriber
    Registry::default()
        .with(HierarchicalLayer::default())
        .init();

    let connections: Vec<_> = (0..3)
        .map(|id| tokio::spawn(conn(id)))
        .collect();

    for conn in connections {
        conn.await.unwrap();
    }
}

tracing-tree isn't intended for concurrent use, and this is demonstrated by the output of the program:

conn id=2
conn id=0
conn id=1
  23ms  INFO step 0, id=2
  84ms  INFO step 0, id=1
  94ms  INFO step 1, id=2
  118ms  INFO step 0, id=0
  130ms  INFO step 1, id=1
  193ms  INFO step 2, id=2

  217ms  INFO step 1, id=0
  301ms  INFO step 2, id=1

  326ms  INFO step 2, id=0

We can instead use tracing-forest as a drop-in replacement for tracing-tree.

use tracing::info;
use tracing_subscriber::{layer::SubscriberExt, util::SubscriberInitExt, Registry};
use tracing_forest::ForestLayer;

#[tracing::instrument]
async fn conn(id: u32) {
    // -- snip --
}

#[tokio::main(flavor = "multi_thread")]
async fn main() {
    // Use a `tracing-forest` subscriber
    Registry::default()
        .with(ForestLayer::default())
        .init();

    // -- snip --
}

Now we can easily trace what happened:

INFO     conn [ 150µs | 100.00% ]
INFO     ┝━ i [info]: step 0 | id: 1
INFO     ┝━ i [info]: step 1 | id: 1
INFO     ┕━ i [info]: step 2 | id: 1
INFO     conn [ 343µs | 100.00% ]
INFO     ┝━ i [info]: step 0 | id: 0
INFO     ┝━ i [info]: step 1 | id: 0
INFO     ┕━ i [info]: step 2 | id: 0
INFO     conn [ 233µs | 100.00% ]
INFO     ┝━ i [info]: step 0 | id: 2
INFO     ┝━ i [info]: step 1 | id: 2
INFO     ┕━ i [info]: step 2 | id: 2

License

tracing-forest is open-source software, distributed under the MIT license.

Dependencies

~1.5–3.5MB
~59K SLoC