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Fast Log

Open source Apache-2.0 Rust
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 About Fast Log

Rust async log High-performance asynchronous logging

Platforms

Web Self-hosted

Languages

Rust

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fast_log

Build Status GitHub release

A log implementation for extreme speed, using Crossbeam/channel ,once Batch write logs,fast log date, Appender architecture, appender per thread

  • High performance,Low overhead, logs auto merge, Full APPEND mode file writing
  • Built-in ZIP,LZ4 compression
  • Support use log::logger().flush() method wait to flush disk
  • Support custom file(impl Trait)
  • Support rolling log(ByDate,BySize,ByDuration)
  • Support Keep log(All,KeepTime,KeepNum) Delete old logs,Prevent logs from occupying the disk
  • uses #![forbid(unsafe_code)] 100% Safe Rust.

Architecture

log data
    │
    ▼
┌────────────────────┐
│   main channel     │◀──── user threads call log!() macro
│   (crossbeam)      │
└─────────┬──────────┘
          │
          │ (1 dispatcher thread)
          ▼
┌────────────────────┐
│ dispatcher thread  │─────┬─────┬─────┬──────┬
│ - recv all records  │     │     │     │      │
│ - batch merge      │     │     │     │      │
│ - broadcast (Arc)  │     │     │     │      │
└────────────────────┘     │     │     │      │
        │                  │     │     │      │
        ▼                  ▼     ▼     ▼      ▼
   ┌─────────┐      ┌─────────┬─────────┬─────────┐
   │channel 1│      │channel 2│     │channel N│
   └────┬────┘      └────┬────┘     └────┬────┘
        │                │                │
        ▼                ▼                ▼
 ┌────────────┐   ┌────────────┐   ┌────────────┐
 │ background │   │ background │   │ background │
 │  thread 1  │   │  thread 2  │   │  thread N  │
 │ do_logs(   │   │ do_logs(   │   │ do_logs(   │
 │  batch)    │   │  batch)    │   │  batch)    │
 └─────┬──────┘   └─────┬──────┘   └─────┬──────┘
       │                │                │
       ▼                ▼                ▼
 ┌────────────┐   ┌────────────┐   ┌────────────┐
 │  appender1 │   │  appender2 │   │  appenderN │
 └────────────┘   └────────────┘   └────────────┘
  • How fast is?

  • no flush(chan_len=1000000) benches/log.rs

//MACOS(Apple M1MAX-32GB)
test bench_log ... bench:          85 ns/iter (+/- 1,800)
  • all log flush into file(chan_len=1000000) example/bench_test_file.rs
//MACOS(Apple M1MAX-32GB)
test bench_log ... bench:          323 ns/iter (+/- 0)
  • how to use?
log = "0.4"
fast_log = { version = "1.7" }

or enable zip/lz4/gzip Compression library

log = "0.4"
# "lz4","zip","gzip"
fast_log = { version = "1.7", features = ["lz4", "zip", "gzip"] }

Performance optimization(important)

  • use chan_len(Some(100000)) Preallocating channel memory reduces the overhead of memory allocation,for example:
use log::{error, info, warn};
fn main() {
    fast_log::init(Config::new().file("target/test.log").chan_len(Some(100000))).unwrap();
    log::info!("Commencing yak shaving{}", 0);
}

Use Log(Console)

use log::{error, info, warn};
fn main() {
    fast_log::init(Config::new().console().chan_len(Some(100000))).unwrap();
    log::info!("Commencing yak shaving{}", 0);
}

Use Log(Console Print)

use log::{error, info, warn};
fn main() {
    fast_log::init(Config::new().console().chan_len(Some(100000))).unwrap();
    fast_log::print("Commencing print\n".into());
}

Use Log(File)

use fast_log::{init_log};
use log::{error, info, warn};
fn main() {
    fast_log::init(Config::new().file("target/test.log").chan_len(Some(100000))).unwrap();
    log::info!("Commencing yak shaving{}", 0);
    info!("Commencing yak shaving");
}

Split Log(ByLogDate)

use fast_log::config::Config;
use fast_log::plugin::file_split::{RollingType, KeepType, DateType, Rolling};
use std::thread::sleep;
use std::time::Duration;
use fast_log::plugin::packer::LogPacker;
fn main() {
    fast_log::init(Config::new().chan_len(Some(100000)).console().file_split(
        "target/logs/",
        Rolling::new(RollingType::ByDate(DateType::Day)),
        KeepType::KeepNum(2),
        LogPacker {},
    ))
        .unwrap();
    for _ in 0..60 {
        sleep(Duration::from_secs(1));
        log::info!("Commencing yak shaving");
    }
    log::logger().flush();
    println!("you can see log files in path: {}", "target/logs/")
}

Split Log(ByLogSize)

use fast_log::config::Config;
use fast_log::consts::LogSize;
use fast_log::plugin::file_split::{RollingType, KeepType, Rolling};
use fast_log::plugin::packer::LogPacker;
fn main() {
    fast_log::init(Config::new().chan_len(Some(100000)).console().file_split(
        "target/logs/",
        Rolling::new(RollingType::BySize(LogSize::KB(500))),
        KeepType::KeepNum(2),
        LogPacker {},
    ))
        .unwrap();
    for _ in 0..40000 {
        log::info!("Commencing yak shaving");
    }
    log::logger().flush();
    println!("you can see log files in path: {}", "target/logs/")
}

Custom Log(impl do_log method)
use fast_log::appender::{FastLogRecord, LogAppender};
use fast_log::config::Config;
use fastdate::DateTime;
use log::Level;

struct CustomLog {}

impl LogAppender for CustomLog {
    fn do_logs(&mut self, records: &[FastLogRecord]) {
        for record in records {
            let now = DateTime::from(record.now);
            let data;
            match record.level {
                Level::Warn | Level::Error => {
                    data = format!(
                        "{} {} {} - {}  {}\n",
                        now, record.level, record.module_path, record.args, record.formated
                    );
                }
                _ => {
                    data = format!(
                        "{} {} {} - {}\n",
                        &now, record.level, record.module_path, record.args
                    );
                }
            }
            print!("{}", data);
        }
    }
}

fn main() {
    fast_log::init(Config::new().custom(CustomLog {})).unwrap();
    log::info!("Commencing yak shaving");
    log::error!("Commencing error");
    log::logger().flush();
}