bunyan、log4js、pino 和 winston 都是 Node.js 生态中成熟的日志记录库,用于帮助开发者追踪应用运行状态、调试错误以及监控生产环境。winston 以其丰富的传输插件生态和灵活性著称;pino 主打极致性能,是许多现代高性能框架的首选;log4js 提供了类似 Java log4j 的经典配置模式;而 bunyan 作为早期 JSON 日志的先驱,目前维护频率较低。本文将深入分析它们在性能、配置复杂度、扩展性及维护状态上的差异,帮助团队做出合理的架构决策。
在 Node.js 服务端开发中,日志不仅是调试工具,更是可观测性(Observability)的核心。bunyan、log4js、pino 和 winston 代表了不同时期的设计哲学。bunyan 确立了 JSON 日志的标准,log4js 带来了企业级的配置管理,winston 构建了最庞大的传输生态,而 pino 则重新定义了性能基准。本文将从架构师视角,对比它们在核心场景下的表现。
日志写入是 I/O 操作,不当的实现会阻塞事件循环。现代日志库通常采用异步写入来减少主线程阻塞。
pino 采用极致的异步设计,默认将日志序列化后通过 sonic-boom 异步写入流,性能通常是其他库的 5-10 倍。
// pino: 默认异步,极低开销
const logger = require('pino')();
logger.info('fast async logging');
winston 支持异步传输,但默认配置下可能表现不同,需显式配置 highWaterMark 或使用异步传输器来优化。
// winston: 需配置以优化性能
const { createLogger, transports } = require('winston');
const logger = createLogger({
transports: [
new transports.Console({
handleExceptions: true,
highWaterMark: 1024 * 1024 // 优化缓冲区
})
]
});
logger.info('configurable async logging');
log4js 支持异步追加器,但核心架构较重,初始化开销和单次日志序列化的 CPU 占用高于 pino。
// log4js: 支持异步配置
const log4js = require('log4js');
log4js.configure({
appenders: { out: { type: 'stdout', layout: { type: 'basic' } } },
categories: { default: { appenders: ['out'], level: 'info' } }
});
const logger = log4js.getLogger();
logger.info('structured but heavier');
bunyan 设计较早,虽然支持流式输出,但在高吞吐量场景下,其同步序列化逻辑容易成为瓶颈,且不再进行性能优化。
// bunyan: 早期流式设计
const bunyan = require('bunyan');
const logger = bunyan.createLogger({ name: 'my-app' });
logger.info('legacy stream logging');
生产环境通常需要将日志分发到不同地方(文件、ELK、Splunk 等)。
winston 拥有最丰富的传输(Transport)生态,社区提供了几乎所有第三方服务的集成插件。
// winston: 丰富的传输插件
const { createLogger, transports } = require('winston');
const logger = createLogger({
transports: [
new transports.File({ filename: 'error.log', level: 'error' }),
new transports.Http({ host: 'log-monitor.com', path: '/log' })
]
});
pino 通过 pino-transport 机制支持多线程传输,生态增长迅速,但插件数量少于 winston。
// pino: 多线程传输配置
const pino = require('pino');
const logger = pino({
transport: {
target: 'pino/file',
options: { destination: './logs/app.log' }
}
});
log4js 使用“追加器”(Appenders)概念,内置了多种类型(文件、邮件、TCP),配置集中但扩展新类型较繁琐。
// log4js: 追加器配置
const log4js = require('log4js');
log4js.configure({
appenders: {
file: { type: 'file', filename: 'app.log' },
mail: { type: 'smtp', recipients: ['admin@example.com'] }
},
categories: { default: { appenders: ['file', 'mail'], level: 'error' } }
});
bunyan 依赖 Node.js 原生的 Stream 机制,扩展通常需要手动编写 Stream 对象,缺乏标准化的插件系统。
// bunyan: 基于 Stream 的扩展
const bunyan = require('bunyan');
const fs = require('fs');
const logger = bunyan.createLogger({
name: 'my-app',
streams: [
{ stream: process.stdout },
{ path: './logs/app.log', type: 'file' }
]
});
结构化日志(JSON)便于机器解析,但开发调试时需要可读性。
pino 默认输出紧凑的 JSON,生产环境性能最佳。开发环境可通过 pino-pretty 美化输出。
// pino: 默认 JSON + 美化
// 命令行运行:node app.js | npx pino-pretty
const logger = require('pino')();
logger.info({ userId: 123 }, 'user logged in');
// 输出:{"level":30,"time":1678888888888,"pid":1234,"hostname":"...","userId":123,"msg":"user logged in"}
winston 支持自定义格式(Format),可以灵活组合时间戳、颜色、JSON 等。
// winston: 自定义格式
const { createLogger, format, transports } = require('winston');
const { combine, timestamp, json } = format;
const logger = createLogger({
format: combine(timestamp(), json()),
transports: [new transports.Console()]
});
logger.info({ userId: 123 }, 'user logged in');
log4js 提供丰富的布局(Layout)选项,可以模拟传统日志格式,也支持 JSON。
// log4js: 布局配置
const log4js = require('log4js');
log4js.configure({
appenders: { out: { type: 'stdout', layout: { type: 'json' } } },
categories: { default: { appenders: ['out'], level: 'info' } }
});
const logger = log4js.getLogger();
logger.info({ userId: 123 }, 'user logged in');
bunyan 强制输出 JSON,必须配合 bunyan CLI 工具进行美化阅读,不支持纯文本格式。
// bunyan: 强制 JSON
const bunyan = require('bunyan');
const logger = bunyan.createLogger({ name: 'my-app' });
logger.info({ userId: 123 }, 'user logged in');
// 必须通过管道:node app.js | bunyan
选择库不仅是选功能,更是选未来。
pino 和 winston 目前活跃维护,社区贡献频繁,是安全的选择。
log4js 维护频率较低,但功能稳定,适合保守型项目。
bunyan 已处于维护模式,作者推荐迁移至 pino。新项目中引入 bunyan 会增加技术债务。
| 特性 | pino | winston | log4js | bunyan |
|---|---|---|---|---|
| 性能 | ⭐⭐⭐⭐⭐ (极高) | ⭐⭐⭐ (中等) | ⭐⭐ (较低) | ⭐⭐ (较低) |
| 默认格式 | JSON | 可配置 | 可配置 | JSON |
| 扩展方式 | Transport (多线程) | Transport (插件) | Appender | Stream |
| 维护状态 | ✅ 活跃 | ✅ 活跃 | ⚠️ 稳定 | ⚠️ 维护模式 |
| 适用场景 | 高并发 API | 通用全栈 | 企业遗留迁移 | 旧项目维护 |
pino 是现代 Node.js 服务的默认推荐。它的性能优势在微服务和 Serverless 架构中尤为明显,且 API 简洁,学习成本低。
winston 适合复杂的企业级应用,特别是当你需要将日志推送到多个非标准端点(如特定的内部监控系统)时,它的插件生态能节省大量开发时间。
log4js 和 bunyan 建议仅用于维护现有系统。如果正在重构旧项目,优先考虑迁移到 pino,因为其 API 设计与 bunyan 相似但性能更优,迁移成本相对可控。
仅建议在维护旧项目时使用,不建议在新项目中采用。bunyan 的作者已转向开发 pino,该库目前处于维护模式,缺乏新特性更新。如果你的旧系统深度依赖其特定的流式 API 且迁移成本高,可暂时保留,但应制定迁移计划。
适合需要从 Java log4j 迁移过来的团队,或者习惯基于配置文件(如 JSON/XML)集中管理日志规则的场景。它在功能上非常全面,支持复杂的追加器(Appenders)配置,但在高并发 Node.js 场景下性能开销相对较大。
首选用于对性能敏感的生产环境,尤其是高并发 API 服务。它是 Fastify 等现代框架的默认日志库,异步日志写入开销极低。如果你需要结构化日志(JSON)且希望最小化对主线程的阻塞,pino 是最佳选择。
适合需要高度定制化传输目标(如同时写入文件、数据库、第三方监控服务)的项目。它拥有最大的社区插件生态,配置灵活,支持同步和异步模式。如果你更看重生态丰富度而非极致的微秒级性能,winston 是稳妥的通用方案。
Bunyan is a simple and fast JSON logging library for node.js services:
var bunyan = require('bunyan');
var log = bunyan.createLogger({name: "myapp"});
log.info("hi");
and a bunyan CLI tool for nicely viewing those logs:

Manifesto: Server logs should be structured. JSON's a good format. Let's do
that. A log record is one line of JSON.stringify'd output. Let's also
specify some common names for the requisite and common fields for a log
record (see below).
Solid core functionality is there. Joyent is using this for a number of production services. Bunyan supports node 0.10 and greater. Follow @trentmick for updates to Bunyan.
There is an email discussion list bunyan-logging@googlegroups.com, also as a forum in the browser.
npm install bunyan
Tip: The bunyan CLI tool is written to be compatible (within reason) with
all versions of Bunyan logs. Therefore you might want to npm install -g bunyan
to get the bunyan CLI on your PATH, then use local bunyan installs for
node.js library usage of bunyan in your apps.
Tip: Installing without optional dependencies can dramatically reduce
bunyan's install size. dtrace-provider is used for dtrace features,
mv is used for RotatingFileStream, and moment is used for local time.
If you don't need these features, consider installing with the
--no-optional flag.
bunyan CLI for pretty-printing and filtering of Bunyan logssrc: truelog.childLike most logging libraries you create a Logger instance and call methods named after the logging levels:
// hi.js
var bunyan = require('bunyan');
var log = bunyan.createLogger({name: 'myapp'});
log.info('hi');
log.warn({lang: 'fr'}, 'au revoir');
All loggers must provide a "name". This is somewhat akin to the log4j logger "name", but Bunyan doesn't do hierarchical logger names.
Bunyan log records are JSON. A few fields are added automatically: "pid", "hostname", "time" and "v".
$ node hi.js
{"name":"myapp","hostname":"banana.local","pid":40161,"level":30,"msg":"hi","time":"2013-01-04T18:46:23.851Z","v":0}
{"name":"myapp","hostname":"banana.local","pid":40161,"level":40,"lang":"fr","msg":"au revoir","time":"2013-01-04T18:46:23.853Z","v":0}
var bunyan = require('bunyan');
var log = bunyan.createLogger({
name: <string>, // Required
level: <level name or number>, // Optional, see "Levels" section
stream: <node.js stream>, // Optional, see "Streams" section
streams: [<bunyan streams>, ...], // Optional, see "Streams" section
serializers: <serializers mapping>, // Optional, see "Serializers" section
src: <boolean>, // Optional, see "src" section
// Any other fields are added to all log records as is.
foo: 'bar',
...
});
The example above shows two different ways to call log.info(...). The
full API is:
log.info(); // Returns a boolean: is the "info" level enabled?
// This is equivalent to `log.isInfoEnabled()` or
// `log.isEnabledFor(INFO)` in log4j.
log.info('hi'); // Log a simple string message (or number).
log.info('hi %s', bob, anotherVar); // Uses `util.format` for msg formatting.
log.info({foo: 'bar'}, 'hi');
// The first field can optionally be a "fields" object, which
// is merged into the log record.
log.info(err); // Special case to log an `Error` instance to the record.
// This adds an "err" field with exception details
// (including the stack) and sets "msg" to the exception
// message.
log.info(err, 'more on this: %s', more);
// ... or you can specify the "msg".
log.info({foo: 'bar', err: err}, 'some msg about this error');
// To pass in an Error *and* other fields, use the `err`
// field name for the Error instance.
Note that this implies you cannot blindly pass any object as the first
argument to log it because that object might include fields that collide with
Bunyan's core record fields. In other words,
log.info(mywidget) may not yield what you expect. Instead of a string
representation of mywidget that other logging libraries may give you, Bunyan
will try to JSON-ify your object. It is a Bunyan best practice to always give a
field name to included objects, e.g.:
log.info({widget: mywidget}, ...)
This will dove-tail with Bunyan serializer support, discussed later.
The same goes for all of Bunyan's log levels: log.trace, log.debug,
log.info, log.warn, log.error, and log.fatal. See the levels
section below for details and suggestions.
Bunyan log output is a stream of JSON objects. This is great for processing,
but not for reading directly. A bunyan tool is provided for
pretty-printing bunyan logs and for filtering (e.g.
| bunyan -c 'this.foo == "bar"'). Using our example above:
$ node hi.js | ./node_modules/.bin/bunyan
[2013-01-04T19:01:18.241Z] INFO: myapp/40208 on banana.local: hi
[2013-01-04T19:01:18.242Z] WARN: myapp/40208 on banana.local: au revoir (lang=fr)
See the screenshot above for an example of the default coloring of rendered
log output. That example also shows the nice formatting automatically done for
some well-known log record fields (e.g. req is formatted like an HTTP request,
res like an HTTP response, err like an error stack trace).
One interesting feature is filtering of log content, which can be useful for digging through large log files or for analysis. We can filter only records above a certain level:
$ node hi.js | bunyan -l warn
[2013-01-04T19:08:37.182Z] WARN: myapp/40353 on banana.local: au revoir (lang=fr)
Or filter on the JSON fields in the records (e.g. only showing the French records in our contrived example):
$ node hi.js | bunyan -c 'this.lang == "fr"'
[2013-01-04T19:08:26.411Z] WARN: myapp/40342 on banana.local: au revoir (lang=fr)
See bunyan --help for other facilities.
By default, log output is to stdout and at the "info" level. Explicitly that looks like:
var log = bunyan.createLogger({
name: 'myapp',
stream: process.stdout,
level: 'info'
});
That is an abbreviated form for a single stream. You can define multiple streams at different levels.
var log = bunyan.createLogger({
name: 'myapp',
streams: [
{
level: 'info',
stream: process.stdout // log INFO and above to stdout
},
{
level: 'error',
path: '/var/tmp/myapp-error.log' // log ERROR and above to a file
}
]
});
More on streams in the Streams section below.
Bunyan has a concept of a child logger to specialize a logger for a
sub-component of your application, i.e. to create a new logger with
additional bound fields that will be included in its log records. A child
logger is created with log.child(...).
In the following example, logging on a "Wuzzle" instance's this.log will
be exactly as on the parent logger with the addition of the widget_type
field:
var bunyan = require('bunyan');
var log = bunyan.createLogger({name: 'myapp'});
function Wuzzle(options) {
this.log = options.log.child({widget_type: 'wuzzle'});
this.log.info('creating a wuzzle')
}
Wuzzle.prototype.woos = function () {
this.log.warn('This wuzzle is woosey.')
}
log.info('start');
var wuzzle = new Wuzzle({log: log});
wuzzle.woos();
log.info('done');
Running that looks like (raw):
$ node myapp.js
{"name":"myapp","hostname":"myhost","pid":34572,"level":30,"msg":"start","time":"2013-01-04T07:47:25.814Z","v":0}
{"name":"myapp","hostname":"myhost","pid":34572,"widget_type":"wuzzle","level":30,"msg":"creating a wuzzle","time":"2013-01-04T07:47:25.815Z","v":0}
{"name":"myapp","hostname":"myhost","pid":34572,"widget_type":"wuzzle","level":40,"msg":"This wuzzle is woosey.","time":"2013-01-04T07:47:25.815Z","v":0}
{"name":"myapp","hostname":"myhost","pid":34572,"level":30,"msg":"done","time":"2013-01-04T07:47:25.816Z","v":0}
And with the bunyan CLI (using the "short" output mode):
$ node myapp.js | bunyan -o short
07:46:42.707Z INFO myapp: start
07:46:42.709Z INFO myapp: creating a wuzzle (widget_type=wuzzle)
07:46:42.709Z WARN myapp: This wuzzle is woosey. (widget_type=wuzzle)
07:46:42.709Z INFO myapp: done
A more practical example is in the
node-restify web framework.
Restify uses Bunyan for its logging. One feature of its integration, is that
if server.use(restify.requestLogger()) is used, each restify request handler
includes a req.log logger that is:
log.child({req_id: <unique request id>}, true)
Apps using restify can then use req.log and have all such log records
include the unique request id (as "req_id"). Handy.
Bunyan has a concept of "serializer" functions to produce a JSON-able object from a JavaScript object, so you can easily do the following:
log.info({req: <request object>}, 'something about handling this request');
and have the req entry in the log record be just a reasonable subset of
<request object> fields (or computed data about those fields).
A logger instance can have a serializers mapping of log record field name
("req" in this example) to a serializer function. When creating the log
record, Bunyan will call the serializer function for fields of that name.
An example:
function reqSerializer(req) {
return {
method: req.method,
url: req.url,
headers: req.headers
};
}
var log = bunyan.createLogger({
name: 'myapp',
serializers: {
req: reqSerializer
}
});
Typically serializers are added to a logger at creation time via
bunyan.createLogger({..., serializers: <serializers>}). However, serializers
can be added after creation via <logger>.addSerializers(...), e.g.:
var log = bunyan.createLogger({name: 'myapp'});
log.addSerializers({req: reqSerializer});
A serializer function is passed unprotected objects that are passed to the
log.info, log.debug, etc. call. This means a poorly written serializer
function can cause side-effects. Logging shouldn't do that. Here are a few
rules and best practices for serializer functions:
A serializer function should never throw. The bunyan library does protect somewhat from this: if the serializer throws an error, then bunyan will (a) write an ugly message on stderr (along with the traceback), and (b) the field in the log record will be replaced with a short error message. For example:
bunyan: ERROR: Exception thrown from the "foo" Bunyan serializer. This should never happen. This is a bug in that serializer function.
TypeError: Cannot read property 'not' of undefined
at Object.fooSerializer [as foo] (/Users/trentm/tm/node-bunyan/bar.js:8:26)
at /Users/trentm/tm/node-bunyan/lib/bunyan.js:873:50
at Array.forEach (native)
at Logger._applySerializers (/Users/trentm/tm/node-bunyan/lib/bunyan.js:865:35)
at mkRecord (/Users/trentm/tm/node-bunyan/lib/bunyan.js:978:17)
at Logger.info (/Users/trentm/tm/node-bunyan/lib/bunyan.js:1044:19)
at Object.<anonymous> (/Users/trentm/tm/node-bunyan/bar.js:13:5)
at Module._compile (module.js:409:26)
at Object.Module._extensions..js (module.js:416:10)
at Module.load (module.js:343:32)
{"name":"bar","hostname":"danger0.local","pid":47411,"level":30,"foo":"(Error in Bunyan log \"foo\" serializer broke field. See stderr for details.)","msg":"one","time":"2017-03-08T02:53:51.173Z","v":0}
A serializer function should never mutate the given object. Doing so will change the object in your application.
A serializer function should be defensive. In my experience, it is common to set a serializer in an app, say for field name "foo", and then accidentally have a log line that passes a "foo" that is undefined, or null, or of some unexpected type. A good start at defensiveness is to start with this:
function fooSerializer(foo) {
// Guard against foo be null/undefined. Check that expected fields
// are defined.
if (!foo || !foo.bar)
return foo;
var obj = {
// Create the object to be logged.
bar: foo.bar
}
return obj;
};
Bunyan includes a small set of "standard serializers", exported as
bunyan.stdSerializers. Their use is completely optional. An example using
all of them:
var log = bunyan.createLogger({
name: 'myapp',
serializers: bunyan.stdSerializers
});
or particular ones:
var log = bunyan.createLogger({
name: 'myapp',
serializers: {err: bunyan.stdSerializers.err}
});
Standard serializers are:
| Field | Description |
|---|---|
| err | Used for serializing JavaScript error objects, including traversing an error's cause chain for error objects with a .cause() -- e.g. as from verror. |
| req | Common fields from a node.js HTTP request object. |
| res | Common fields from a node.js HTTP response object. |
Note that the req and res serializers intentionally do not include the
request/response body, as that can be prohibitively large. If helpful, the
restify framework's audit logger plugin
has its own req/res serializers that include more information (optionally
including the body).
The source file, line and function of the log call site can be added to
log records by using the src: true config option:
var log = bunyan.createLogger({src: true, ...});
This adds the call source info with the 'src' field, like this:
{
"name": "src-example",
"hostname": "banana.local",
"pid": 123,
"component": "wuzzle",
"level": 4,
"msg": "This wuzzle is woosey.",
"time": "2012-02-06T04:19:35.605Z",
"src": {
"file": "/Users/trentm/tm/node-bunyan/examples/src.js",
"line": 20,
"func": "Wuzzle.woos"
},
"v": 0
}
WARNING: Determining the call source info is slow. Never use this option in production.
The log levels in bunyan are as follows. The level descriptions are best practice opinions of the author.
Setting a logger instance (or one of its streams) to a particular level implies that all log records at that level and above are logged. E.g. a logger set to level "info" will log records at level info and above (warn, error, fatal).
While using log level names is preferred, the actual level values are integers
internally (10 for "trace", ..., 60 for "fatal"). Constants are defined for
the levels: bunyan.TRACE ... bunyan.FATAL. The lowercase level names are
aliases supported in the API, e.g. log.level("info"). There is one exception:
DTrace integration uses the level names. The fired DTrace probes are named
'bunyan-$levelName'.
Here is the API for querying and changing levels on an existing logger. Recall that a logger instance has an array of output "streams":
log.level() -> INFO // gets current level (lowest level of all streams)
log.level(INFO) // set all streams to level INFO
log.level("info") // set all streams to level INFO
log.levels() -> [DEBUG, INFO] // get array of levels of all streams
log.levels(0) -> DEBUG // get level of stream at index 0
log.levels("foo") // get level of stream with name "foo"
log.levels(0, INFO) // set level of stream 0 to INFO
log.levels(0, "info") // can use "info" et al aliases
log.levels("foo", WARN) // set stream named "foo" to WARN
Trent's biased suggestions for server apps: Use "debug" sparingly. Information that will be useful to debug errors post mortem should usually be included in "info" messages if it's generally relevant or else with the corresponding "error" event. Don't rely on spewing mostly irrelevant debug messages all the time and sifting through them when an error occurs.
Trent's biased suggestions for node.js libraries: IMHO, libraries should only
ever log at trace-level. Fine control over log output should be up to the
app using a library. Having a library that spews log output at higher levels
gets in the way of a clear story in the app logs.
This section will describe rules for the Bunyan log format: field names,
field meanings, required fields, etc. However, a Bunyan library doesn't
strictly enforce all these rules while records are being emitted. For example,
Bunyan will add a time field with the correct format to your log records,
but you can specify your own. It is the caller's responsibility to specify
the appropriate format.
The reason for the above leniency is because IMO logging a message should
never break your app. This leads to this rule of logging: a thrown
exception from log.info(...) or equivalent (other than for calling with the
incorrect signature) is always a bug in Bunyan.
A typical Bunyan log record looks like this:
{"name":"myserver","hostname":"banana.local","pid":123,"req":{"method":"GET","url":"/path?q=1#anchor","headers":{"x-hi":"Mom","connection":"close"}},"level":3,"msg":"start request","time":"2012-02-03T19:02:46.178Z","v":0}
Pretty-printed:
{
"name": "myserver",
"hostname": "banana.local",
"pid": 123,
"req": {
"method": "GET",
"url": "/path?q=1#anchor",
"headers": {
"x-hi": "Mom",
"connection": "close"
},
"remoteAddress": "120.0.0.1",
"remotePort": 51244
},
"level": 3,
"msg": "start request",
"time": "2012-02-03T19:02:57.534Z",
"v": 0
}
v: Required. Integer. Added by Bunyan. Cannot be overridden.
This is the Bunyan log format version (require('bunyan').LOG_VERSION).
The log version is a single integer. 0 is until I release a version
"1.0.0" of node-bunyan. Thereafter, starting with 1, this will be
incremented if there is any backward incompatible change to the log record
format. Details will be in "CHANGES.md" (the change log).level: Required. Integer. Added by Bunyan. Cannot be overridden.
See the "Levels" section.name: Required. String. Provided at Logger creation.
You must specify a name for your logger when creating it. Typically this
is the name of the service/app using Bunyan for logging.hostname: Required. String. Provided or determined at Logger creation.
You can specify your hostname at Logger creation or it will be retrieved
via os.hostname().pid: Required. Integer. Filled in automatically at Logger creation.time: Required. String. Added by Bunyan. Can be overridden.
The date and time of the event in ISO 8601
Extended Format format and in UTC,
as from
Date.toISOString().msg: Required. String.
Every log.debug(...) et al call must provide a log message.src: Optional. Object giving log call source info. This is added
automatically by Bunyan if the "src: true" config option is given to the
Logger. Never use in production as this is really slow.Go ahead and add more fields, and nested ones are fine (and recommended) as well. This is why we're using JSON. Some suggestions and best practices follow (feedback from actual users welcome).
err: Object. A caught JS exception. Log that thing with log.info(err)
to get:
...
"err": {
"message": "boom",
"name": "TypeError",
"stack": "TypeError: boom\n at Object.<anonymous> ..."
},
"msg": "boom",
...
Or use the bunyan.stdSerializers.err serializer in your Logger and
do this log.error({err: err}, "oops"). See "examples/err.js".
req_id: String. A request identifier. Including this field in all logging
tied to handling a particular request to your server is strongly suggested.
This allows post analysis of logs to easily collate all related logging
for a request. This really shines when you have a SOA with multiple services
and you carry a single request ID from the top API down through all APIs
(as node-restify facilitates
with its 'Request-Id' header).
req: An HTTP server request. Bunyan provides bunyan.stdSerializers.req
to serialize a request with a suggested set of keys. Example:
{
"method": "GET",
"url": "/path?q=1#anchor",
"headers": {
"x-hi": "Mom",
"connection": "close"
},
"remoteAddress": "120.0.0.1",
"remotePort": 51244
}
res: An HTTP server response. Bunyan provides bunyan.stdSerializers.res
to serialize a response with a suggested set of keys. Example:
{
"statusCode": 200,
"header": "HTTP/1.1 200 OK\r\nContent-Type: text/plain\r\nConnection: keep-alive\r\nTransfer-Encoding: chunked\r\n\r\n"
}
req.username: Authenticated user (or for a 401, the user attempting to
auth).latency custom field would be fine.req.body: If you know that request bodies are small (common in APIs,
for example), then logging the request body is good.A "stream" is Bunyan's name for where it outputs log messages (the equivalent to a log4j Appender). Ultimately Bunyan uses a Writable Stream interface, but there are some additional attributes used to create and manage the stream. A Bunyan Logger instance has one or more streams. In general streams are specified with the "streams" option:
var bunyan = require('bunyan');
var log = bunyan.createLogger({
name: "foo",
streams: [
{
stream: process.stderr,
level: "debug"
},
...
]
});
For convenience, if there is only one stream, it can be specified with the
"stream" and "level" options (internally converted to a Logger.streams).
var log = bunyan.createLogger({
name: "foo",
stream: process.stderr,
level: "debug"
});
Note that "file" streams do not support this shortcut (partly for historical reasons and partly to not make it difficult to add a literal "path" field on log records).
If neither "streams" nor "stream" are specified, the default is a stream of
type "stream" emitting to process.stdout at the "info" level.
After a bunyan instance has been initialized, you may add additional streams by
calling the addStream function.
var bunyan = require('bunyan');
var log = bunyan.createLogger('myLogger');
log.addStream({
name: "myNewStream",
stream: process.stderr,
level: "debug"
});
A Bunyan logger instance can be made to re-emit "error" events from its
streams. Bunyan does so by default for type === "file"
streams, so you can do this:
var log = bunyan.createLogger({name: 'mylog', streams: [{path: LOG_PATH}]});
log.on('error', function (err, stream) {
// Handle stream write or create error here.
});
As of bunyan@1.7.0, the reemitErrorEvents field can be used when adding a
stream to control whether "error" events are re-emitted on the Logger. For
example:
var EventEmitter = require('events').EventEmitter;
var util = require('util');
function MyFlakyStream() {}
util.inherits(MyFlakyStream, EventEmitter);
MyFlakyStream.prototype.write = function (rec) {
this.emit('error', new Error('boom'));
}
var log = bunyan.createLogger({
name: 'this-is-flaky',
streams: [
{
type: 'raw',
stream: new MyFlakyStream(),
reemitErrorEvents: true
}
]
});
log.info('hi there');
The behaviour is as follows:
reemitErrorEvents not specified: file streams will re-emit error events
on the Logger instance.reemitErrorEvents: true: error events will be re-emitted on the Logger
for any stream with a .on() function -- which includes file streams,
process.stdout/stderr, and any object that inherits from EventEmitter.reemitErrorEvents: false: error events will not be re-emitted for any
streams.Note: "error" events are not related to log records at the "error" level
as produced by log.error(...). See the node.js docs on error
events for details.
streamA type === 'stream' is a plain ol' node.js Writable
Stream. A
"stream" (the writable stream) field is required. E.g.: process.stdout,
process.stderr.
var log = bunyan.createLogger({
name: 'foo',
streams: [{
stream: process.stderr
// `type: 'stream'` is implied
}]
});
| Field | Required? | Default | Description |
|---|---|---|---|
| stream | Yes | - | A "Writable Stream", e.g. a std handle or an open file write stream. |
| type | No | n/a | `type == 'stream'` is implied if the `stream` field is given. |
| level | No | info | The level to which logging to this stream is enabled. If not specified it defaults to "info". If specified this can be one of the level strings ("trace", "debug", ...) or constants (`bunyan.TRACE`, `bunyan.DEBUG`, ...). This serves as a severity threshold for that stream so logs of greater severity will also pass through (i.e. If level="warn", error and fatal will also pass through this stream). |
| name | No | - | A name for this stream. This may be useful for usage of `log.level(NAME, LEVEL)`. See the [Levels section](https://www.npmjs.com/package/bunyan#levels) for details. A stream "name" isn't used for anything else. |
fileA type === 'file' stream requires a "path" field. Bunyan will open this
file for appending. E.g.:
var log = bunyan.createLogger({
name: 'foo',
streams: [{
path: '/var/log/foo.log',
// `type: 'file'` is implied
}]
});
| Field | Required? | Default | Description |
|---|---|---|---|
| path | Yes | - | A file path to which to log. |
| type | No | n/a | `type == 'file'` is implied if the `path` field is given. |
| level | No | info | The level to which logging to this stream is enabled. If not specified it defaults to "info". If specified this can be one of the level strings ("trace", "debug", ...) or constants (`bunyan.TRACE`, `bunyan.DEBUG`, ...). This serves as a severity threshold for that stream so logs of greater severity will also pass through (i.e. If level="warn", error and fatal will also pass through this stream). |
| name | No | - | A name for this stream. This may be useful for usage of `log.level(NAME, LEVEL)`. See the [Levels section](https://www.npmjs.com/package/bunyan#levels) for details. A stream "name" isn't used for anything else. |
rotating-fileWARNING on node 0.8 usage: Users of Bunyan's rotating-file should (a) be
using at least bunyan 0.23.1 (with the fix for this
issue), and (b) should use at
least node 0.10 (node 0.8 does not support the unref() method on
setTimeout(...) needed for the mentioned fix). The symptom is that process
termination will hang for up to a full rotation period.
WARNING on cluster
usage: Using Bunyan's rotating-file stream with node.js's "cluster" module
can result in unexpected file rotation. You must not have multiple processes
in the cluster logging to the same file path. In other words, you must have
a separate log file path for the master and each worker in the cluster.
Alternatively, consider using a system file rotation facility such as
logrotate on Linux or logadm on SmartOS/Illumos. See
this comment on issue #117
for details.
A type === 'rotating-file' is a file stream that handles file automatic
rotation.
var log = bunyan.createLogger({
name: 'foo',
streams: [{
type: 'rotating-file',
path: '/var/log/foo.log',
period: '1d', // daily rotation
count: 3 // keep 3 back copies
}]
});
This will rotate '/var/log/foo.log' every day (at midnight) to:
/var/log/foo.log.0 # yesterday
/var/log/foo.log.1 # 1 day ago
/var/log/foo.log.2 # 2 days ago
Currently, there is no support for providing a template for the rotated files, or for rotating when the log reaches a threshold size.
| Field | Required? | Default | Description |
|---|---|---|---|
| type | Yes | - | "rotating-file" |
| path | Yes | - | A file path to which to log. Rotated files will be "$path.0", "$path.1", ... |
| period | No | 1d | The period at which to rotate. This is a string of the format "$number$scope" where "$scope" is one of "ms" (milliseconds -- only useful for testing), "h" (hours), "d" (days), "w" (weeks), "m" (months), "y" (years). Or one of the following names can be used "hourly" (means 1h), "daily" (1d), "weekly" (1w), "monthly" (1m), "yearly" (1y). Rotation is done at the start of the scope: top of the hour (h), midnight (d), start of Sunday (w), start of the 1st of the month (m), start of Jan 1st (y). |
| count | No | 10 | The number of rotated files to keep. |
| level | No | info | The level at which logging to this stream is enabled. If not specified it defaults to "info". If specified this can be one of the level strings ("trace", "debug", ...) or constants (`bunyan.TRACE`, `bunyan.DEBUG`, ...). |
| name | No | - | A name for this stream. This may be useful for usage of `log.level(NAME, LEVEL)`. See the [Levels section](https://www.npmjs.com/package/bunyan#levels) for details. A stream "name" isn't used for anything else. |
Note on log rotation: Often you may be using external log rotation utilities
like logrotate on Linux or logadm on SmartOS/Illumos. In those cases, unless
you are ensuring "copy and truncate" semantics (via copytruncate with
logrotate or -c with logadm) then the fd for your 'file' stream will change.
You can tell bunyan to reopen the file stream with code like this in your
app:
var log = bunyan.createLogger(...);
...
process.on('SIGUSR2', function () {
log.reopenFileStreams();
});
where you'd configure your log rotation to send SIGUSR2 (or some other signal)
to your process. Any other mechanism to signal your app to run
log.reopenFileStreams() would work as well.
rawraw: Similar to a "stream" writable stream, except that the write method
is given raw log record Objects instead of a JSON-stringified string.
This can be useful for hooking on further processing to all Bunyan logging:
pushing to an external service, a RingBuffer (see below), etc.raw + RingBuffer StreamBunyan comes with a special stream called a RingBuffer which keeps the last N records in memory and does not write the data anywhere else. One common strategy is to log 'info' and higher to a normal log file but log all records (including 'trace') to a ringbuffer that you can access via a debugger, or your own HTTP interface, or a post-mortem facility like MDB or node-panic.
To use a RingBuffer:
/* Create a ring buffer that stores the last 100 records. */
var bunyan = require('bunyan');
var ringbuffer = new bunyan.RingBuffer({ limit: 100 });
var log = bunyan.createLogger({
name: 'foo',
streams: [
{
level: 'info',
stream: process.stdout
},
{
level: 'trace',
type: 'raw', // use 'raw' to get raw log record objects
stream: ringbuffer
}
]
});
log.info('hello world');
console.log(ringbuffer.records);
This example emits:
[ { name: 'foo',
hostname: '912d2b29',
pid: 50346,
level: 30,
msg: 'hello world',
time: '2012-06-19T21:34:19.906Z',
v: 0 } ]
See the user-maintained list in the Bunyan wiki.
On systems that support DTrace (e.g., illumos derivatives like SmartOS and
OmniOS, FreeBSD, Mac), Bunyan will create a DTrace provider (bunyan) that
makes available the following probes:
log-trace
log-debug
log-info
log-warn
log-error
log-fatal
Each of these probes has a single argument: the string that would be written to the log. Note that when a probe is enabled, it will fire whenever the corresponding function is called, even if the level of the log message is less than that of any stream.
Trace all log messages coming from any Bunyan module on the system.
(The -x strsize=4k is to raise dtrace's default 256 byte buffer size
because log messages are longer than typical dtrace probes.)
dtrace -x strsize=4k -qn 'bunyan*:::log-*{printf("%d: %s: %s", pid, probefunc, copyinstr(arg0))}'
Trace all log messages coming from the "wuzzle" component:
dtrace -x strsize=4k -qn 'bunyan*:::log-*/strstr(this->str = copyinstr(arg0), "\"component\":\"wuzzle\"") != NULL/{printf("%s", this->str)}'
Aggregate debug messages from process 1234, by message:
dtrace -x strsize=4k -n 'bunyan1234:::log-debug{@[copyinstr(arg0)] = count()}'
Have the bunyan CLI pretty-print the traced logs:
dtrace -x strsize=4k -qn 'bunyan1234:::log-*{printf("%s", copyinstr(arg0))}' | bunyan
A convenience handle has been made for this:
bunyan -p 1234
On systems that support the
jstack action
via a node.js helper, get a stack backtrace for any debug message that
includes the string "danger!":
dtrace -x strsize=4k -qn 'log-debug/strstr(copyinstr(arg0), "danger!") != NULL/{printf("\n%s", copyinstr(arg0)); jstack()}'
Output of the above might be:
{"name":"foo","hostname":"763bf293-d65c-42d5-872b-4abe25d5c4c7.local","pid":12747,"level":20,"msg":"danger!","time":"2012-10-30T18:28:57.115Z","v":0}
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Node-bunyan supports running in a few runtime environments:
Support for other runtime environments is welcome. If you have suggestions, fixes, or mentions that node-bunyan already works in some other JavaScript runtime, please open an issue or a pull request.
The primary target is Node.js. It is the only environment in which I regularly test. If you have suggestions for how to automate testing for other environments, I'd appreciate feedback on this automated testing issue.
As the Browserify site says it "lets you
require('modules') in the browser by bundling up all of your dependencies."
It is a build tool to run on your node.js script to bundle up your script and
all its node.js dependencies into a single file that is runnable in the
browser via:
<script src="play.browser.js"></script>
As of version 1.1.0, node-bunyan supports being run via Browserify. The
default stream when running in the browser is one that emits
raw log records to console.log/info/warn/error.
Here is a quick example showing you how you can get this working for your script.
Get browserify and bunyan installed in your module:
$ npm install browserify bunyan
An example script using Bunyan, "play.js":
var bunyan = require('bunyan');
var log = bunyan.createLogger({name: 'play', level: 'debug'});
log.trace('this one does not emit');
log.debug('hi on debug'); // console.log
log.info('hi on info'); // console.info
log.warn('hi on warn'); // console.warn
log.error('hi on error'); // console.error
Build this into a bundle to run in the browser, "play.browser.js":
$ ./node_modules/.bin/browserify play.js -o play.browser.js
Put that into an HTML file, "play.html":
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<script src="play.browser.js"></script>
</head>
<body>
<div>hi</div>
</body>
</html>
Open that in your browser and open your browser console:
$ open play.html
Here is what it looks like in Firefox's console: 
For some, the raw log records might not be desired. To have a rendered log line you'll want to add your own stream, starting with something like this:
var bunyan = require('./lib/bunyan');
function MyRawStream() {}
MyRawStream.prototype.write = function (rec) {
console.log('[%s] %s: %s',
rec.time.toISOString(),
bunyan.nameFromLevel[rec.level],
rec.msg);
}
var log = bunyan.createLogger({
name: 'play',
streams: [
{
level: 'info',
stream: new MyRawStream(),
type: 'raw'
}
]
});
log.info('hi on info');
To include bunyan in your webpack bundle you need to tell webpack to ignore the optional dependencies that are unavailable in browser environments.
Mark the following dependencies as externals in your webpack configuration file to exclude them from the bundle:
module: {
externals: ['dtrace-provider', 'fs', 'mv', 'os', 'source-map-support']
}
All versions are <major>.<minor>.<patch> which will be incremented for
breaking backward compat and major reworks, new features without breaking
change, and bug fixes, respectively. tl;dr: Semantic
versioning.
MIT.
See the user-maintained list of Bunyan-related software in the Bunyan wiki.