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📗 Simple, configurable and scalable Structured Logging for Go.

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log

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Log is a simple,highly configurable, Structured Logging that is a near drop in replacement for the std library log

Why another logging library?

There's allot of great stuff out there, but also thought a log library could be made easier to use, more efficient by reusing objects and more performant using channels.

Features

  • Logger is simple, only logic to create the log entry and send it off to the handlers and they take it from there.
  • Sends the log entry to the handlers asynchronously, but waits for all to complete; meaning all your handlers can be dealing with the log entry at the same time, but log will wait until all have completed before moving on.
  • Ability to specify which log levels get sent to each handler
  • Built-in console, syslog, http, HipChat and email handlers
  • Handlers are simple to write + easy to register
  • Logger is a singleton ( one of the few instances a singleton is desired ) so the root package registers which handlers are used and any libraries just follow suit.

Installation

Use go get

go get github.com/go-playground/log

Replacing std log

change import from

import "log"

to

import "github.com/go-playground/log"

Usage

import the log package, setup at least one handler

package main

import (
	"github.com/go-playground/log"
	"github.com/go-playground/log/handlers/console"
)

func main() {

	cLog := console.New()

	log.RegisterHandler(cLog, log.AllLevels...)

	// Trace
	defer log.Trace("trace").End()

	log.Debug("debug")
	log.Info("info")
	log.Notice("notice")
	log.Warn("warn")
	log.Error("error")
	// log.Panic("panic") // this will panic
	log.Alert("alert")
	// log.Fatal("fatal") // this will call os.Exit(1)

	// logging with fields can be used with any of the above
	log.WithFields(log.F("key", "value")).Info("test info")
}

Adding your own Handler

package main

import (
	"bytes"
	"fmt"

	"github.com/go-playground/log"
)

// CustomHandler is your custom handler
type CustomHandler struct {
	// whatever properties you need
	buffer uint // channel buffer
}

// Run starts the logger consuming on the returned channed
func (c *CustomHandler) Run() chan<- *log.Entry {

	// in a big high traffic app, set a higher buffer
	ch := make(chan *log.Entry, c.buffer)

	// can run as many consumers on the channel as you want,
	// depending on the buffer size or your needs
	go func(entries <-chan *log.Entry) {

		// below prints to os.Stderr but could marshal to JSON
		// and send to central logging server
		//																						       ---------
		// 				                                                                 |----------> | console |
		//                                                                               |             ---------
		// i.e. -----------------               -----------------     Unmarshal    -------------       --------
		//     | app log handler | -- json --> | central log app | --    to    -> | log handler | --> | syslog |
		//      -----------------               -----------------       Entry      -------------       --------
		//      																         |             ---------
		//                                  									         |----------> | DataDog |
		//          																	        	   ---------
		var e *log.Entry
		b := new(bytes.Buffer)

		for e = range entries {

			b.Reset()
			b.WriteString(e.Message)

			for _, f := range e.Fields {
				fmt.Fprintf(b, " %s=%v", f.Key, f.Value)
			}

			fmt.Println(b.String())
			e.Consumed() // done writing the entry
		}

	}(ch)

	return ch
}

func main() {

	cLog := &CustomHandler{
		buffer: 0,
	}

	log.RegisterHandler(cLog, log.AllLevels...)

	// Trace
	defer log.Trace("trace").End()

	log.Debug("debug")
	log.Info("info")
	log.Notice("notice")
	log.Warn("warn")
	log.Error("error")
	// log.Panic("panic") // this will panic
	log.Alert("alert")
	// log.Fatal("fatal") // this will call os.Exit(1)

	// logging with fields can be used with any of the above
	log.WithFields(log.F("key", "value")).Info("test info")
}

Log Level Definitions

DebugLevel - Info useful to developers for debugging the application, not useful during operations.

TraceLevel - Info useful to developers for debugging the application and reporting on possible bottlenecks.

InfoLevel - Normal operational messages - may be harvested for reporting, measuring throughput, etc. - no action required.

NoticeLevel - Normal but significant condition. Events that are unusual but not error conditions - might be summarized in an email to developers or admins to spot potential problems - no immediate action required.

WarnLevel - Warning messages, not an error, but indication that an error will occur if action is not taken, e.g. file system 85% full - each item must be resolved within a given time.

ErrorLevel - Non-urgent failures, these should be relayed to developers or admins; each item must be resolved within a given time.

PanicLevel - A "panic" condition usually affecting multiple apps/servers/sites. At this level it would usually notify all tech staff on call.

AlertLevel - Action must be taken immediately. Should be corrected immediately, therefore notify staff who can fix the problem. An example would be the loss of a primary ISP connection.

FatalLevel - Should be corrected immediately, but indicates failure in a primary system, an example is a loss of a backup ISP connection. ( same as SYSLOG CRITICAL )

Handlers

Pull requests for new handlers are welcome, please provide test coverage is all I ask.

Handler Description Docs
console Allows for log messages to be sent to a any writer, default os.Stderr GoDoc
syslog Allows for log messages to be sent via syslog. GoDoc
http Allows for log messages to be sent via http. Can use the HTTP handler as a base for creating other handlers requiring http transmission. GoDoc
email Allows for log messages to be sent via email. GoDoc
hipchat Allows for log messages to be sent to a hipchat room. GoDoc

Package Versioning

I'm jumping on the vendoring bandwagon, you should vendor this package as I will not be creating different version with gopkg.in like allot of my other libraries.

Why? because my time is spread pretty thin maintaining all of the libraries I have + LIFE, it is so freeing not to worry about it and will help me keep pouring out bigger and better things for you the community.

Benchmarks

Run on MacBook Pro (Retina, 15-inch, Late 2013) 2.6 GHz Intel Core i7 16 GB 1600 MHz DDR3 using Go version go1.6.2 darwin/amd64

NOTE: only putting benchmarks at others request, by no means does the number of allocations make one log library better than another!

go test -cpu=4 -bench=. -benchmem=true

PASS
BenchmarkLogConsoleTenFieldsParallel-4	 1000000	      1985 ns/op	    1113 B/op	      35 allocs/op
BenchmarkLogConsoleSimpleParallel-4   	 3000000	       455 ns/op	      88 B/op	       4 allocs/op
BenchmarkLogrusText10Fields-4         	  300000	      4179 ns/op	    4291 B/op	      63 allocs/op
BenchmarkLogrusTextSimple-4           	 2000000	       655 ns/op	     672 B/op	      15 allocs/op
BenchmarkLog1510Fields-4              	  100000	     16376 ns/op	    4378 B/op	      92 allocs/op
BenchmarkLog15Simple-4                	 1000000	      1983 ns/op	     320 B/op	       9 allocs/op
ok  	github.com/go-playground/log/benchmarks	10.716s

Special Thanks

Special thanks to the following libraries that inspired

  • logrus - Structured, pluggable logging for Go.
  • apex log - Structured logging package for Go.

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