Pino is a very low overhead Node.js logger, which is inspired by Bunyan. It is designed to be as minimal as possible and to perform logging tasks with a very small performance overhead. Pino provides a simple to use API for structured logging and can be easily integrated with different transports for log processing.
Basic Logging
This feature allows you to perform basic logging tasks, such as logging informational messages.
const pino = require('pino');
const logger = pino();
logger.info('Hello, this is an info message!');Logging with Different Levels
Pino allows you to log messages with different severity levels, such as error, warn, and debug.
const logger = pino();
logger.error('This is an error message');
logger.warn('This is a warning message');
logger.debug('This is a debug message');Child Loggers
You can create child loggers from a parent logger, which can inherit the configuration of the parent and can also have additional properties.
const parentLogger = pino();
const childLogger = parentLogger.child({ a: 'property' });
childLogger.info('Hello from child logger');Custom Serializers
Pino allows you to define custom serializers for logging objects in a specific way.
const logger = pino({
serializers: {
req: (req) => ({ method: req.method, url: req.url })
}
});
logger.info({ req: requestObject }, 'Request log message');Pretty Printing
For development purposes, Pino can be combined with the 'pino-pretty' module to format logs in a more readable way.
const pino = require('pino');
const pretty = require('pino-pretty');
const logger = pino(pretty());
logger.info('This will be pretty printed');Winston is a multi-transport async logging library for Node.js. It is designed to be a simple and universal logging library with support for multiple transports. Compared to Pino, Winston is more feature-rich and configurable but can be heavier on performance.
Bunyan is a simple and fast JSON logging library for Node.js services. Like Pino, it is inspired by the Unix philosophy and focuses on structured logging. Bunyan is more similar to Pino in terms of philosophy, but Pino claims to be faster and more efficient.
Log4js is a logging framework for Node.js, which provides flexible configuration and supports multiple appenders. It is similar to the Log4j library for Java. Compared to Pino, Log4js offers more traditional logging features but may not be as performance-optimized.
Extremely fast node.js logger, inspired by Bunyan. It also includes a shell utility to pretty-print its log files.
npm install pino --save
'use strict'
var pino = require('./')()
pino.info('hello world')
pino.error('this is at error level')
pino.info('the answer is %d', 42)
pino.info({ obj: 42 }, 'hello world')
pino.info({ obj: 42, b: 2 }, 'hello world')
pino.info({ obj: { aa: 'bbb' } }, 'another')
setImmediate(function () {
pino.info('after setImmediate')
})
pino.error(new Error('an error'))
var child = pino.child({ a: 'property' })
child.info('hello child!')
var childsChild = child.child({ another: 'property' })
childsChild.info('hello baby..')
This produces:
{"pid":94473,"hostname":"MacBook-Pro-3.home","level":30,"msg":"hello world","time":1459529098958,"v":1}
{"pid":94473,"hostname":"MacBook-Pro-3.home","level":50,"msg":"this is at error level","time":1459529098959,"v":1}
{"pid":94473,"hostname":"MacBook-Pro-3.home","level":30,"msg":"the answer is 42","time":1459529098960,"v":1}
{"pid":94473,"hostname":"MacBook-Pro-3.home","level":30,"msg":"hello world","time":1459529098960,"obj":42,"v":1}
{"pid":94473,"hostname":"MacBook-Pro-3.home","level":30,"msg":"hello world","time":1459529098960,"obj":42,"b":2,"v":1}
{"pid":94473,"hostname":"MacBook-Pro-3.home","level":30,"msg":"another","time":1459529098960,"obj":{"aa":"bbb"},"v":1}
{"pid":94473,"hostname":"MacBook-Pro-3.home","level":50,"msg":"an error","time":1459529098961,"type":"Error","stack":"Error: an error\n at Object.<anonymous> (/Users/davidclements/z/nearForm/pino/example.js:14:12)\n at Module._compile (module.js:435:26)\n at Object.Module._extensions..js (module.js:442:10)\n at Module.load (module.js:356:32)\n at Function.Module._load (module.js:311:12)\n at Function.Module.runMain (module.js:467:10)\n at startup (node.js:136:18)\n at node.js:963:3","v":1}
{"pid":94473,"hostname":"MacBook-Pro-3.home","level":30,"msg":"hello child!","time":1459529098962,"a":"property","v":1}
{"pid":94473,"hostname":"MacBook-Pro-3.home","level":30,"msg":"hello baby..","time":1459529098962,"another":"property","a":"property","v":1}
{"pid":94473,"hostname":"MacBook-Pro-3.home","level":30,"msg":"after setImmediate","time":1459529098963,"v":1}
As far as we know, it is the fastest logger in town:
pino.info('hello world'):
benchBunyan*10000: 1005ms
benchWinston*10000: 1810ms
benchBole*10000: 1493ms
benchPino*10000: 254ms
pino.info({'hello': 'world'}):
benchBunyanObj*10000: 1262ms
benchWinstonObj*10000: 1979ms
benchBoleObj*10000: 1545ms
benchPinoObj*10000: 341ms
pino.info('hello %s %j %d', 'world', {obj: true}, 4, {another: 'obj'}):
benchBunyanInterpolateExtra*10000: 2747ms
benchWinstonInterpolateExtra*10000: 2659ms
benchBoleInterpolateExtra*10000: 3366ms
benchPinoInterpolateExtra*10000: 548ms
In multiple cases, pino is over 6x faster than alternatives.
To use the command line tool, we can install pino globally:
npm install -g pino
Then we simply pipe a log file through pino:
cat log | pino
There's also a transformer flag that converts Epoch timestamps to ISO timestamps.
cat log | pino -t
For instance, pino -t will transform this:
{"pid":14139,"hostname":"MacBook-Pro-3.home","level":30,"msg":"hello world","time":1457537229339,"v":0}
Into this:
{"pid":14139,"hostname":"MacBook-Pro-3.home","level":30,"msg":"hello world","time":"2016-03-09T15:27:09.339Z","v":0}
pino()logger.child()logger.levellogger.fatal()logger.error()logger.warn()logger.info()logger.debug()logger.trace()pino.stdSerializers.reqpino.stdSerializers.respino.stdSerializers.errReturns a new logger. Allowed options are:
safe: avoid error causes by circular references in the object tree,
default truename: the name of the logger, default undefinedserializers: an object containing functions for custom serialization of objects. These functions should return an JSONifiable object and they should never throwslowtime: Outputs ISO time stamps ('2016-03-09T15:18:53.889Z') instead of Epoch time stamps (1457536759176). WARNING: This option carries a 25% performance drop, we recommend using default Epoch timestamps and transforming logs after if required. The pino -t command will do this for you (see CLI)stream is a Writable stream, defaults to process.stdout.
Example:
'use strict'
var pino = require('pino')
var logger = ({
name: 'myapp',
safe: true,
serializers: {
req: pino.stdSerializers.req
res: pino.stdSerializers.res
}
})
Creates a child logger, setting all key-value pairs in bindings as
properties in the log lines. All serializers will be applied to the
given pair.
Example:
logger.child({ a: 'property' }).info('hello child!')
// generates
// {"pid":46497,"hostname":"MacBook-Pro-di-Matteo.local","level":30,"msg":"hello child!","time":1458124707120,"v":0,"a":"property"}
Child loggers use the same output stream as the parent and inherit the current log level of the parent at the time they are spawned.
From v2.x.x the log level of a child is mutable (whereas in v1.x.x it was immutable), and can be set independently of the parent.
For example
var logger = pino()
logger.level = 'error'
logger.info('nope') //does not log
var child = logger.child({foo: 'bar'})
child.info('nope again') //does not log
child.level = 'info'
child.info('hooray') //will log
logger.info('nope nope nope') //will not log, level is still set to error
Also from version 2.x.x we can spawn child loggers from child loggers, for instance
var logger = pino()
var child = logger.child({father: true})
var childChild = child.child({baby: true})
Child logger creation is fast:
benchPinoCreation*10000: 364ms
benchBunyanCreation*10000: 1309ms
benchBoleCreation*10000: 1621ms
benchPinoCreation*10000: 350ms
benchBunyanCreation*10000: 1295ms
benchBoleCreation*10000: 1595ms
Logging through a child logger has little performance penalty:
benchBunyanObj*10000: 1309ms
benchPinoChild*10000: 335ms
benchBoleChild*10000: 1487ms
benchBunyanObj*10000: 1262ms
benchPinoChild*10000: 331ms
benchBoleChild*10000: 1473ms
Spawning children from children has negligible overhead:
benchBunyanChildChild*10000: 1353ms
benchPinoChildChild*10000: 332ms
benchBunyanChildChild*10000: 1333ms
benchPinoChildChild*10000: 334ms
Set this property to the desired logging level.
In order of priority, available levels are:
Example: logger.level = 'info'
The logging level is a minimum level. For instance if logger.level is 'info' then all fatal, error, warn, and info logs will be enabled.
Log at 'fatal' level the given msg. If the first argument is an
object, all its properties will be included in the JSON line.
If more args follows msg, these will be used to format msg using
util.format
Log at 'error' level the given msg. If the first argument is an
object, all its properties will be included in the JSON line.
If more args follows msg, these will be used to format msg using
util.format
Log at 'warn' level the given msg. If the first argument is an
object, all its properties will be included in the JSON line.
If more args follows msg, these will be used to format msg using
util.format
Log at 'info' level the given msg. If the first argument is an
object, all its properties will be included in the JSON line.
If more args follows msg, these will be used to format msg using
util.format
Log at 'debug' level the given msg. If the first argument is an
object, all its properties will be included in the JSON line.
If more args follows msg, these will be used to format msg using
util.format
Log at 'trace' level the given msg. If the first argument is an
object, all its properties will be included in the JSON line.
If more args follows msg, these will be used to format msg using
util.format
Generates a JSONifiable object from the HTTP request object passed to
the createServer callback of Node's HTTP server.
It returns an object in the form:
{
pid: 93535,
hostname: 'your host',
level: 30,
msg: 'my request',
time: '2016-03-07T12:21:48.766Z',
v: 0,
req: {
method: 'GET',
url: '/',
headers: {
host: 'localhost:50201',
connection: 'close'
},
remoteAddress: '::ffff:127.0.0.1',
remotePort: 50202
}
}
Generates a JSONifiable object from the HTTP response object passed to
the createServer callback of Node's HTTP server.
It returns an object in the form:
{
pid: 93581,
hostname: 'myhost',
level: 30,
msg: 'my response',
time: '2016-03-07T12:23:18.041Z',
v: 0,
res: {
statusCode: 200,
header: 'HTTP/1.1 200 OK\r\nDate: Mon, 07 Mar 2016 12:23:18 GMT\r\nConnection: close\r\nContent-Length: 5\r\n\r\n'
}
}
Serializes an Error object if passed in as an property.
{
"pid": 40510,
"hostname": "MBP-di-Matteo",
"level": 50,
"msg": "an error",
"time": 1459433282301,
"v": 1,
"type": "Error",
"stack": "Error: an error\n at Object.<anonymous> (/Users/matteo/Repositories/pino/example.js:16:7)\n at Module._compile (module.js:435:26)\n at Object.Module._extensions..js (module.js:442:10)\n at Module.load (module.js:356:32)\n at Function.Module._load (module.js:313:12)\n at Function.Module.runMain (module.js:467:10)\n at startup (node.js:136:18)\n at node.js:963:3"
}
Use a separate tool for log rotation.
We recommend logrotate
Consider we output our logs to /var/log/myapp.log like so:
> node server.js > /var/log/myapp.log
We would rotate our log files with logrotate, by adding the following to /etc/logrotate.d/myapp:
/var/log/myapp.log {
su root
daily
rotate 7
delaycompress
compress
notifempty
missingok
copytruncate
}
Create a separate process and pipe to it.
For example:
var split = require('split2')
var pump = require('pump')
var through = require('through2')
var myTransport = through.obj(function (chunk, enc, cb) {
// do whatever you want here!
console.log(chunk)
cb()
}
pump(process.stdin, split2(JSON.parse), myTransport)
node my-app-which-logs-stuff-to-stdout.js | node my-transport-process.js
Using transports in the same process causes unnecessary load and slows down Node's single threaded event loop.
If you write a transport, let us know and we will add a link here!
There's some fine points to be aware of, which are a result of worthwhile trade-offs:
The logger functions (e.g. pino.info) can take a maximum of 11 arguments.
If you need more than that to write a log entry, you're probably doing it wrong.
It's possible for naming conflicts to arise between child loggers and children of child loggers.
This isn't as bad as it sounds, even if you do use the same keys between parent and child loggers Pino resolves the conflict in the sanest way.
For example, consider the following:
var pino = require('pino')
var fs = require('fs')
pino(fs.createWriteStream('./my-log'))
.child({a: 'property'})
.child({a: 'prop'})
.info('howdy')
$ cat my-log
{"pid":95469,"hostname":"MacBook-Pro-3.home","level":30,"msg":"howdy","time":1459534114473,"a":"property","a":"prop","v":1}
Notice how there's two key's named a in the JSON output. The sub-childs properties
appear after the parent child properties. This means if we run our logs through pino -t (or convert them to objects in any other way) we'll end up with one a property whose value corresponds to the lowest child in the hierarchy:
$ cat my-log | pino -t
{"pid":95469,"hostname":"MacBook-Pro-3.home","level":30,"msg":"howdy","time":"2016-04-01T18:08:34.473Z","a":"prop","v":1}
This equates to the same log output that Bunyan supplies.
One of Pino's performance tricks is to avoid building objects and stringifying them, so we're building strings instead. This is why duplicate keys between parents and children will up in log output.
pino objectThis project was kindly sponsored by nearForm.
MIT
FAQs
super fast, all natural json logger
The npm package pino receives a total of 6,765,178 weekly downloads. As such, pino popularity was classified as popular.
We found that pino demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
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