Pino: Extremely Fast Logger inspired By Bunyan

pino

Documentation

Install

$ npm install pino

If you would like to install pino v6, refer to https://github.com/pinojs/pino/tree/v6.x.

Usage

const logger = require('pino')()

logger.info('hello world')

const child = logger.child({ a: 'property' })
child.info('hello child!')

This produces:

{"level":30,"time":1531171074631,"msg":"hello world","pid":657,"hostname":"Davids-MBP-3.fritz.box"}
{"level":30,"time":1531171082399,"msg":"hello child!","pid":657,"hostname":"Davids-MBP-3.fritz.box","a":"property"}

For using Pino with a web framework see:

Essentials

Development Formatting

The pino-pretty module can be used to format logs during development:

pretty demo

Transports & Log Processing

Due to Node's single-threaded event-loop, it's highly recommended that sending, alert triggering, reformatting and all forms of log processing be conducted in a separate process or thread.

In Pino terminology we call all log processors "transports", and recommend that the transports be run in a worker thread using our pino.transport API.

For more details see our Transports⇗ document.

Low overhead

Using minimum resources for logging is very important. Log messages tend to get added over time and this can lead to a throttling effect on applications – such as reduced requests per second.

In many cases, Pino is over 5x faster than alternatives.

See the Benchmarks document for comparisons.

Bundling support

Pino supports to being bundled using tools like webpack or esbuild.

See Bundling document for more informations.

The Team

Contributing

Pino is an OPEN Open Source Project. This means that:

Individuals making significant and valuable contributions are given commit-access to the project to contribute as they see fit. This project is more like an open wiki than a standard guarded open source project.

See the CONTRIBUTING.md file for more details.

Acknowledgements

This project was kindly sponsored by nearForm.

Logo and identity designed by Cosmic Fox Design: https://www.behance.net/cosmicfox.

Author: Pinojs
Source Code: https://github.com/pinojs/pino
License: View license

#node #json #logger

Pino: Extremely Fast Logger inspired By Bunyan

pino

Very low overhead Node.js logger.

Documentation

Install

$ npm install pino

If you would like to install pino v6, refer to https://github.com/pinojs/pino/tree/v6.x.

Usage

const logger = require('pino')()

logger.info('hello world')

const child = logger.child({ a: 'property' })
child.info('hello child!')

This produces:

{"level":30,"time":1531171074631,"msg":"hello world","pid":657,"hostname":"Davids-MBP-3.fritz.box"}
{"level":30,"time":1531171082399,"msg":"hello child!","pid":657,"hostname":"Davids-MBP-3.fritz.box","a":"property"}

For using Pino with a web framework see:

Essentials

Development Formatting

The pino-pretty module can be used to format logs during development:

pretty demo

Transports & Log Processing

Due to Node's single-threaded event-loop, it's highly recommended that sending, alert triggering, reformatting and all forms of log processing be conducted in a separate process or thread.

In Pino terminology we call all log processors "transports", and recommend that the transports be run in a worker thread using our pino.transport API.

For more details see our Transports⇗ document.

Low overhead

Using minimum resources for logging is very important. Log messages tend to get added over time and this can lead to a throttling effect on applications – such as reduced requests per second.

In many cases, Pino is over 5x faster than alternatives.

See the Benchmarks document for comparisons.

Bundling support

Pino supports to being bundled using tools like webpack or esbuild.

See Bundling document for more informations.

The Team

Matteo Collina

https://github.com/pinojs

https://www.npmjs.com/~matteo.collina

https://twitter.com/matteocollina

David Mark Clements

https://github.com/davidmarkclements

https://www.npmjs.com/~davidmarkclements

https://twitter.com/davidmarkclem

James Sumners

https://github.com/jsumners

https://www.npmjs.com/~jsumners

https://twitter.com/jsumners79

Thomas Watson Steen

https://github.com/watson

https://www.npmjs.com/~watson

https://twitter.com/wa7son

Contributing

Pino is an OPEN Open Source Project. This means that:

Individuals making significant and valuable contributions are given commit-access to the project to contribute as they see fit. This project is more like an open wiki than a standard guarded open source project.

See the CONTRIBUTING.md file for more details.

Acknowledgements

This project was kindly sponsored by nearForm.

Logo and identity designed by Cosmic Fox Design: https://www.behance.net/cosmicfox.

Author: Pinojs
Source Code: https://github.com/pinojs/pino
License: View license

#node #json #logger

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Pino: Super Fast, All Natural json Logger

pino

Very low overhead Node.js logger.

Install

$ npm install pino

If you would like to install pino v6, refer to https://github.com/pinojs/pino/tree/v6.x.

Usage

const logger = require('pino')()

logger.info('hello world')

const child = logger.child({ a: 'property' })
child.info('hello child!')

This produces:

{"level":30,"time":1531171074631,"msg":"hello world","pid":657,"hostname":"Davids-MBP-3.fritz.box"}
{"level":30,"time":1531171082399,"msg":"hello child!","pid":657,"hostname":"Davids-MBP-3.fritz.box","a":"property"}

For using Pino with a web framework see:

Essentials

Development Formatting

The pino-pretty module can be used to format logs during development:

pretty demo

Transports & Log Processing

Due to Node's single-threaded event-loop, it's highly recommended that sending, alert triggering, reformatting and all forms of log processing be conducted in a separate process or thread.

In Pino terminology we call all log processors "transports", and recommend that the transports be run in a worker thread using our pino.transport API.

For more details see our Transports⇗ document.

Low overhead

Using minimum resources for logging is very important. Log messages tend to get added over time and this can lead to a throttling effect on applications – such as reduced requests per second.

In many cases, Pino is over 5x faster than alternatives.

See the Benchmarks document for comparisons.

Bundling support

Pino supports to being bundled using tools like webpack or esbuild.

See Bundling document for more informations.

Documentation

The Team

Matteo Collina

https://github.com/pinojs

https://www.npmjs.com/~matteo.collina

https://twitter.com/matteocollina

David Mark Clements

https://github.com/davidmarkclements

https://www.npmjs.com/~davidmarkclements

https://twitter.com/davidmarkclem

James Sumners

https://github.com/jsumners

https://www.npmjs.com/~jsumners

https://twitter.com/jsumners79

Thomas Watson Steen

https://github.com/watson

https://www.npmjs.com/~watson

https://twitter.com/wa7son

Contributing

Pino is an OPEN Open Source Project. This means that:

Individuals making significant and valuable contributions are given commit-access to the project to contribute as they see fit. This project is more like an open wiki than a standard guarded open source project.

See the CONTRIBUTING.md file for more details.

Acknowledgements

This project was kindly sponsored by nearForm.

Logo and identity designed by Cosmic Fox Design: https://www.behance.net/cosmicfox.

Author: Pinojs
Source Code: https://github.com/pinojs/pino
License: View license

#node #logger #json

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Onelog: Dead Simple, Super Fast, Zero Allocation Logger for Golang

Onelog

Onelog is a dead simple but very efficient JSON logger. It is one of the fastest JSON logger out there. Also, it is one of the logger with the lowest allocation.

It gives more control over log levels enabled by using bitwise operation for setting levels on a logger.

It is also modular as you can add a custom hook, define level text values, level and message keys.

Go 1.9 is required as it uses a type alias over gojay.Encoder.

It is named onelog as a reference to zerolog and because it sounds like One Love song from Bob Marley :)

Get Started

go get github.com/francoispqt/onelog

Basic usage:

import "github.com/francoispqt/onelog"

func main() {
    // create a new Logger
    // first argument is an io.Writer
    // second argument is the level, which is an integer
    logger := onelog.New(
        os.Stdout, 
        onelog.ALL, // shortcut for onelog.DEBUG|onelog.INFO|onelog.WARN|onelog.ERROR|onelog.FATAL,
    )
    logger.Info("hello world !") // {"level":"info","message":"hello world"}
}

Levels

Levels are ints mapped to a string. The logger will check if level is enabled with an efficient bitwise &(AND), if disabled, it returns right away which makes onelog the fastest when running disabled logging with 0 allocs and less than 1ns/op. See benchmarks

When creating a logger you must use the | operator with different levels to toggle bytes.

Example if you want levels INFO and WARN:

logger := onelog.New(
    os.Stdout, 
    onelog.INFO|onelog.WARN,
)

This allows you to have a logger with different levels, for example you can do:

var logger *onelog.Logger

func init() {
    // if we are in debug mode, enable DEBUG lvl
    if os.Getenv("DEBUG") != "" {
        logger = onelog.New(
            os.Stdout, 
            onelog.ALL, // shortcut for onelog.DEBUG|onelog.INFO|onelog.WARN|onelog.ERROR|onelog.FATAL
        )
        return
    }
    logger = onelog.New(
        os.Stdout, 
        onelog.INFO|onelog.WARN|onelog.ERROR|onelog.FATAL,
    )
}

Available levels:

onelog.DEBUG
onelog.INFO
onelog.WARN
onelog.ERROR
onelog.FATAL

You can change their textual values by doing, do this only once at runtime as it is not thread safe:

onelog.LevelText(onelog.INFO, "INFO")

Hook

You can define a hook which will be run for every log message.

Example:

logger := onelog.New(
    os.Stdout, 
    onelog.ALL,
)
logger.Hook(func(e onelog.Entry) {
    e.String("time", time.Now().Format(time.RFC3339))
})
logger.Info("hello world !") // {"level":"info","message":"hello world","time":"2018-05-06T02:21:01+08:00"}

Context

Context allows enforcing a grouping format where all logs fields key-values pairs from all logging methods (With, Info, Debug, InfoWith, InfoWithEntry, ...etc) except for values from using logger.Hook, will be enclosed in giving context name provided as it's key. For example using a context key "params" as below

logger := onelog.NewContext(
    os.Stdout, 
    onelog.INFO|onelog.WARN,
    "params"
)

logger.InfoWithFields("breaking news !", func(e onelog.Entry) {
    e.String("userID", "123455")
}) 

// {"level":"info","message":"breaking news !", "params":{"userID":"123456"}}

This principle also applies when inheriting from a previous created logger as below

parentLogger := onelog.New(
    os.Stdout, 
    onelog.INFO|onelog.WARN,
)


logger := parentLogger.WithContext("params")
logger.InfoWithFields("breaking news !", func(e onelog.Entry) {
    e.String("userID", "123455")
}) 

// {"level":"info","message":"breaking news !", "params":{"userID":"123456"}}

You can always reset the context by calling WithContext("") to create a no-context logger from a context logger parent.

Logging

Without extra fields

Logging without extra fields is easy as:

logger := onelog.New(
    os.Stdout, 
    onelog.ALL,
)
logger.Debug("i'm not sure what's going on") // {"level":"debug","message":"i'm not sure what's going on"}
logger.Info("breaking news !") // {"level":"info","message":"breaking news !"}
logger.Warn("beware !") // {"level":"warn","message":"beware !"}
logger.Error("my printer is on fire") // {"level":"error","message":"my printer is on fire"}
logger.Fatal("oh my...") // {"level":"fatal","message":"oh my..."}

With extra fields

Logging with extra fields is quite simple, specially if you have used gojay:

logger := onelog.New(
    os.Stdout, 
    onelog.ALL,
)

logger.DebugWithFields("i'm not sure what's going on", func(e onelog.Entry) {
    e.String("string", "foobar")
    e.Int("int", 12345)
    e.Int64("int64", 12345)
    e.Float("float64", 0.15)
    e.Bool("bool", true)
    e.Err("err", errors.New("someError"))
    e.ObjectFunc("user", func(e Entry) {
        e.String("name", "somename")
    })
}) 
// {"level":"debug","message":"i'm not sure what's going on","string":"foobar","int":12345,"int64":12345,"float64":0.15,"bool":true,"err":"someError","user":{"name":"somename"}}

logger.InfoWithFields("breaking news !", func(e onelog.Entry) {
    e.String("userID", "123455")
}) 
// {"level":"info","message":"breaking news !","userID":"123456"}

logger.WarnWithFields("beware !", func(e onelog.Entry) {
    e.String("userID", "123455")
}) 
// {"level":"warn","message":"beware !","userID":"123456"}

logger.ErrorWithFields("my printer is on fire", func(e onelog.Entry) {
    e.String("userID", "123455")
}) 
// {"level":"error","message":"my printer is on fire","userID":"123456"}

logger.FatalWithFields("oh my...", func(e onelog.Entry) {
    e.String("userID", "123455")
}) 
// {"level":"fatal","message":"oh my...","userID":"123456"}

Alternatively, you can use the chain syntax:

logger.InfoWith("foo bar").
    Int("testInt", 1).
    Int64("testInt64", 2).
    Float("testFloat", 1.15234).
    String("testString", "string").
    Bool("testBool", true).
    ObjectFunc("testObj", func(e Entry) {
        e.Int("testInt", 100)
    }).
    Object("testObj2", testObj). // implementation of gojay.MarshalerJSONObject
    Array("testArr", testArr). // implementation of gojay.MarshalerJSONArray
    Err("testErr", errors.New("my printer is on fire !")).
    Write() // don't forget to call this method!

Accumulate context

You can create get a logger with some accumulated context that will be included on all logs created by this logger.

To do that, you must call the With method on a logger. Internally it creates a copy of the current logger and returns it.

Example:

logger := onelog.New(
    os.Stdout, 
    onelog.ALL,
).With(func(e onelog.Entry) {
    e.String("userID", "123456")
})

logger.Info("user logged in") // {"level":"info","message":"user logged in","userID":"123456"}

logger.Debug("wtf?") // {"level":"debug","message":"wtf?","userID":"123456"}

logger.ErrorWithFields("Oops", func(e onelog.Entry) {
    e.String("error_code", "ROFL")
}) // {"level":"error","message":"oops","userID":"123456","error_code":"ROFL"}

Change levels txt values, message and/or level keys

You can change globally the levels values by calling the function:

onelog.LevelText(onelog.INFO, "INFO")

You can change the key of the message by calling the function:

onelog.MsgKey("msg")

You can change the key of the level by calling the function:

onelog.LevelKey("lvl")

Beware, these changes are global (affects all instances of the logger). Also, these function should be called only once at runtime to avoid any data race issue.

Benchmarks

For thorough benchmarks please see the results in the bench suite created by the author of zerolog here: https://github.com/rs/logbench

The benchmarks data presented below is the one from Uber's benchmark suite where we added onelog.

Benchmarks are here: https://github.com/francoispqt/zap/tree/onelog-bench/benchmarks

Disabled Logging

	ns/op	bytes/op	allocs/op
Zap	8.73	0	0
zerolog	2.45	0	0
logrus	12.1	16	1
onelog	0.74	0	0

Disabled with fields

	ns/op	bytes/op	allocs/op
Zap	208	768	5
zerolog	68.7	128	4
logrus	721	1493	12
onelog	1.31	0	0
onelog-chain	68.2	0	0

Logging basic message

	ns/op	bytes/op	allocs/op
Zap	205	0	0
zerolog	135	0	0
logrus	1256	1554	24
onelog	84.8	0	0

Logging basic message and accumulated context

	ns/op	bytes/op	allocs/op
Zap	276	0	0
zerolog	141	0	0
logrus	1256	1554	24
onelog	82.4	0	0

Logging message with extra fields

	ns/op	bytes/op	allocs/op
Zap	1764	770	5
zerolog	1210	128	4
logrus	13211	13584	129
onelog	971	128	4
onelog-chain	1030	128	4

Author: Francoispqt
Source Code: https://github.com/francoispqt/onelog
License: MIT License

#go #golang #logger #logging

Pino: Extremely Fast Logger inspired By Bunyan

Documentation

Install

Usage

Essentials

Development Formatting

Transports & Log Processing

Low overhead

Bundling support

The Team

Matteo Collina

David Mark Clements

James Sumners

Thomas Watson Steen

Contributing

Acknowledgements

What is GEEK

Buddha Community

Pino: Extremely Fast Logger inspired By Bunyan

Documentation

Install

Usage

Essentials

Development Formatting

Transports & Log Processing

Low overhead

Bundling support

The Team

Matteo Collina

David Mark Clements

James Sumners

Thomas Watson Steen

Contributing

Acknowledgements

Fast Fit Keto - {Update 2021} Review,Price & Read More!

Pino: Super Fast, All Natural json Logger

Install

Usage

Essentials

Development Formatting

Transports & Log Processing

Low overhead

Bundling support

Documentation

The Team

Matteo Collina

David Mark Clements

James Sumners

Thomas Watson Steen

Contributing

Acknowledgements

What is FastSwap (FAST) | What is FAST token

Onelog: Dead Simple, Super Fast, Zero Allocation Logger for Golang

Get Started

Levels

Hook

Context

Logging

Without extra fields

With extra fields

Accumulate context

Change levels txt values, message and/or level keys

Disabled Logging

Disabled with fields

Logging basic message

Logging basic message and accumulated context

Logging message with extra fields