async_println

fast_log

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.

              -----------------
log data->    | main channel(crossbeam)  |   ->          
              ----------------- 
                                        ----------------                                    ----------------------
                                  ->    |thread channel)|  -> background thread  |    appender1  |
                                        ----------------                                    ----------------------

                                        ----------------                                    ----------------------
                                  ->    |thread channel)|  -> background thread  |    appender2  |
                                        ----------------                                    ----------------------

                                        ----------------                                    ----------------------
                                  ->    |thread channel)|  -> background thread  |    appender3  |
                                        ----------------                                    ----------------------

                                        ----------------                                    ----------------------
                                  ->    |thread channel)|  -> background thread  |    appender4  |
                                        ----------------                                    ----------------------

• 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();
}