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JSR Working Group Kicks Off with Ambitious Roadmap and Plans for Open Governance
At its inaugural meeting, the JSR Working Group outlined plans for an open governance model and a roadmap to enhance JavaScript package management.
Roarr is a lightweight and fast logger for Node.js applications. It is designed to be simple, performant, and easy to use, providing structured logging capabilities with minimal overhead.
Basic Logging
Roarr allows you to create a logger instance and log messages with different severity levels. In this example, an info message is logged.
const Roarr = require('roarr');
const log = Roarr.child({ application: 'my-app' });
log.info('This is an info message');
Child Loggers
Roarr supports creating child loggers that inherit context from their parent loggers. This is useful for adding additional context to logs in different parts of your application.
const Roarr = require('roarr');
const parentLog = Roarr.child({ application: 'my-app' });
const childLog = parentLog.child({ module: 'my-module' });
childLog.debug('This is a debug message from my-module');
Structured Logging
Roarr supports structured logging, allowing you to log additional context as JSON objects. This makes it easier to analyze and search logs.
const Roarr = require('roarr');
const log = Roarr.child({ application: 'my-app' });
log.info({ userId: 123, action: 'login' }, 'User login event');
Log Level Filtering
Roarr allows you to filter logs by severity level using the ROARR_LOG environment variable. In this example, only debug and higher severity logs will be output.
process.env.ROARR_LOG = 'debug';
const Roarr = require('roarr');
const log = Roarr.child({ application: 'my-app' });
log.debug('This is a debug message');
log.info('This is an info message');
Winston is a versatile logging library for Node.js with support for multiple transports, log levels, and formats. It is more feature-rich compared to Roarr but also comes with more complexity and overhead.
Pino is a fast and low-overhead logging library for Node.js, similar to Roarr in terms of performance. Pino offers more features out of the box, such as log rotation and serializers, but may be slightly more complex to set up.
Bunyan is a JSON logging library for Node.js that provides structured logging and log levels. It is similar to Roarr in its focus on structured logging but includes additional features like log streams and serializers.
JSON logger for Node.js and browser.
For a long time I have been a big fan of using debug
. debug
is simple to use, works in Node.js and browser, does not require configuration and it is fast. However, problems arise when you need to parse logs. Anything but one-line text messages cannot be parsed in a safe way.
To log structured data, I have been using Winston and Bunyan. These packages are great for application-level logging. I have preferred Bunyan because of the Bunyan CLI program used to pretty-print logs. However, these packages require program-level configuration – when constructing an instance of a logger, you need to define the transport and the log-level. This makes them unsuitable for use in code designed to be consumed by other applications.
Then there is pino. pino is fast JSON logger, it has CLI program equivalent to Bunyan, it decouples transports, and it has sane default configuration. Unfortunately, you still need to instantiate logger instance at the application-level. This makes it more suitable for application-level logging just like Winston and Bunyan.
I needed a logger that:
In other words,
Roarr is this logger.
Roarr logger API for producing logs is the same in Node.js and browser.
roarr
Example:
import {
Roarr as log,
} from 'roarr';
log('foo');
Roarr logs are consumed differently in Node.js and browser.
In Node.js, Roarr logging is disabled by default. To enable logging, you must start program with an environment variable ROARR_LOG
set to true
, e.g.
ROARR_LOG=true node ./index.js
All logs will be written to stdout.
In a browser, you must implement ROARR.write
method to read logs, e.g.
import {
ROARR,
} from 'roarr';
ROARR.write = () => {};
The API of the ROARR.write
is:
(message: string) => void;
Example implementation:
import {
ROARR,
} from 'roarr';
ROARR.write = (message) => {
console.log(JSON.parse(message));
};
or if you are initializing ROARR.write
before roarr
is loaded:
// Ensure that `globalThis.ROARR` is configured.
const ROARR = globalThis.ROARR = globalThis.ROARR || {};
ROARR.write = (message) => {
console.log(JSON.parse(message));
};
If your platform does not support globalThis
, use globalthis
polyfill.
You may also use @roarr/browser-log-writer
that implements and opinionated browser logger with Liqe query support for filtering logs.
In Node.js, Roarr prints all or none logs (refer to the ROARR_LOG
environment variable documentation).
Use @roarr/cli
program to filter logs, e.g.
ROARR_LOG=true node ./index.js | roarr --filter 'context.logLevel:>30'
In a browser, Roarr calls globalThis.ROARR.write
for every log message. Implement your own custom logic to filter logs, e.g.
globalThis.ROARR.write = (message) => {
const payload = JSON.parse(message);
if (payload.context.logLevel > 30) {
console.log(payload);
}
};
Property name | Contents |
---|---|
context | Arbitrary, user-provided structured data. See context property names. |
message | User-provided message formatted using printf. |
sequence | Incremental sequence ID (see adopt for description of the format and its meaning). |
time | Unix timestamp in milliseconds. |
version | Roarr log message format version. |
Example:
{
"context": {
"application": "task-runner",
"hostname": "curiosity.local",
"instanceId": "01BVBK4ZJQ182ZWF6FK4EC8FEY",
"taskId": 1
},
"message": "starting task ID 1",
"sequence": "0",
"time": 1506776210000,
"version": "1.0.0"
}
roarr
package exports a function with the following API:
export type Logger =
(
context: MessageContext,
message: string,
c?: SprintfArgument,
d?: SprintfArgument,
e?: SprintfArgument,
f?: SprintfArgument,
g?: SprintfArgument,
h?: SprintfArgument,
i?: SprintfArgument,
k?: SprintfArgument
) => void |
(
message: string,
b?: SprintfArgument,
c?: SprintfArgument,
d?: SprintfArgument,
e?: SprintfArgument,
f?: SprintfArgument,
g?: SprintfArgument,
h?: SprintfArgument,
i?: SprintfArgument,
k?: SprintfArgument
) => void;
To put it into words:
string | number | boolean | null
).Refer to the Usage documentation for common usage examples.
adopt
<T>(routine: () => Promise<T>, context: MessageContext | TransformMessageFunction<MessageContext>) => Promise<T>,
adopt
function uses Node.js async_context
to pass-down context properties.
When using adopt
, context properties will be added to all all Roarr messages within the same asynchronous context, e.g.
log.adopt(
() => {
log('foo 0');
log.adopt(
() => {
log('foo 1');
},
{
baz: 'baz 1',
},
);
},
{
bar: 'bar 0',
},
);
{"context":{"bar":"bar 0"},"message":"foo 0","sequence":"0","time":1506776210000,"version":"2.0.0"}
{"context":{"bar":"bar 0","baz":"baz 1"},"message":"foo 1","sequence":"0.0","time":1506776210000,"version":"2.0.0"}
sequence
valuesequence
represents async context hierarchy in ltree
format, i.e.
<top-level sequential invocation ID>[.<async operation sequential invocation ID>]
Members of sequence value represent log index relative to the async execution context. This information can be used to establish the origin of the log invocation in an asynchronous context, e.g.
log.adopt(() => {
log('foo 0');
log.adopt(() => {
log('bar 0');
log.adopt(() => {
log('baz 0');
setTimeout(() => {
log('baz 1');
}, 10);
});
log('bar 1');
});
});
{"context":{},"message":"foo 0","sequence":"0.0","time":1506776210000,"version":"2.0.0"}
{"context":{},"message":"bar 0","sequence":"0.1.0","time":1506776210000,"version":"2.0.0"}
{"context":{},"message":"baz 0","sequence":"0.1.1.0","time":1506776210000,"version":"2.0.0"}
{"context":{},"message":"bar 1","sequence":"0.1.2","time":1506776210000,"version":"2.0.0"}
{"context":{},"message":"baz 1","sequence":"0.1.1.1","time":1506776210010,"version":"2.0.0"}
Notice that even though logs baz 0
and baz 1
were produced at different times, you can tell that one was produced after another by looking at their sequence values 0.1.1.0
and 0.1.1.1
.
adopt
method only works in Node.js.child
The child
function has two signatures:
(context: MessageContext): Logger,
Creates a child logger that appends child context
to every subsequent message.
Example:
import {
Roarr as log,
} from 'roarr';
const barLog = log.child({
foo: 'bar'
});
log.debug('foo 1');
barLog.debug('foo 2');
{"context":{"logLevel":20},"message":"foo 1","sequence":"0","time":1506776210000,"version":"2.0.0"}
{"context":{"foo":"bar","logLevel":20},"message":"foo 2","sequence":"1","time":1506776210000,"version":"2.0.0"}
<T>(context: TransformMessageFunction<MessageContext<T>>): Logger<T>
Creates a child logger that translates every subsequent message.
Example:
import {
Roarr as log,
} from 'roarr';
const barLog = log.child<{error: Error}>((message) => {
return {
...message,
context: {
...message.context,
...message.context.error && {
error: {
message: message.context.error.message,
},
},
},
};
});
log.debug('foo 1');
barLog.debug({
error: new Error('bar'),
}, 'foo 2');
{"context":{"logLevel":20},"message":"foo 1","sequence":"0","time":1506776210000,"version":"2.0.0"}
{"context":{"logLevel":20,"error":{"message":"bar"}},"message":"bar 2","sequence":"1","time":1506776210000,"version":"2.0.0"}
A typical use case for this pattern is serialization (e.g. of HTTP request, response or error object) and redaction of sensitive data from logs.
getContext
Returns the current context.
Example:
import {
Roarr as log,
} from 'roarr';
const childLogger = log.child({
foo: 'bar'
});
childLogger.getContext();
// {foo: 'bar'}
trace
debug
info
warn
error
fatal
Convenience methods for logging a message with logLevel
context property value set to a numeric value representing the log level, e.g.
import {
Roarr as log,
} from 'roarr';
log.trace('foo');
log.debug('foo');
log.info('foo');
log.warn('foo');
log.error('foo');
log.fatal('foo');
Produces output:
{"context":{"logLevel":10},"message":"foo","sequence":"0","time":1506776210000,"version":"2.0.0"}
{"context":{"logLevel":20},"message":"foo","sequence":"1","time":1506776210000,"version":"2.0.0"}
{"context":{"logLevel":30},"message":"foo","sequence":"2","time":1506776210000,"version":"2.0.0"}
{"context":{"logLevel":40},"message":"foo","sequence":"3","time":1506776210000,"version":"2.0.0"}
{"context":{"logLevel":50},"message":"foo","sequence":"4","time":1506776210000,"version":"2.0.0"}
{"context":{"logLevel":60},"message":"foo","sequence":"5","time":1506776210000,"version":"2.0.0"}
traceOnce
debugOnce
infoOnce
warnOnce
errorOnce
fatalOnce
Just like the regular logger methods, but logs the message only once.
Note: Internally, Roarr keeps a record of the last 1,000 Once
invocations. If this buffer overflows, then the message is going to be logged again until the next time the buffer overflows again.
getLogLevelName
Provides log level name (trace, debug, ...) for a numeric log level (10, 20, ...).
If numeric log level is between two ranges, then resolves to the one with greater severity (e.g. 5 => trace).
If numeric log level is greater than the maximum supported, then falls back to the greatest severity (fatal).
import {
getLogLevelName,
} from 'roarr';
import type {
LogLevelName,
} from 'roarr';
getLogLevelName(numericLogLevel: number): LogLevelName;
Roarr logger supports middlewares implemented as child
message translate functions, e.g.
import {
Roarr as log,
} from 'roarr';
import createSerializeErrorMiddleware from '@roarr/middleware-serialize-error';
const childLog = log.child(createSerializeErrorMiddleware());
const error = new Error('foo');
log.debug({error}, 'bar');
childLog.debug({error}, 'bar');
{"context":{"logLevel":20,"error":{}},"message":"bar","sequence":"0","time":1506776210000,"version":"2.0.0"}
{"context":{"logLevel":20,"error":{"name":"Error","message":"foo","stack":"[REDACTED]"}},"message":"bar","sequence":"1","time":1506776210000,"version":"2.0.0"}
Roarr middlewares enable translation of every bit of information that is used to construct a log message.
The following are the official middlewares:
Raise an issue to add your middleware of your own creation.
Roarr CLI program provides ability to filter and pretty-print Roarr logs.
CLI program has been moved to a separate package @roarr/cli
.
npm install @roarr/cli -g
Explore all CLI commands and options using roarr --help
or refer to @roarr/cli
documentation.
A transport in most logging libraries is something that runs in-process to perform some operation with the finalized log line. For example, a transport might send the log line to a standard syslog server after processing the log line and reformatting it.
Roarr does not support in-process transports.
Roarr does not support in-process transports because Node processes are single threaded processes (ignoring some technical details). Given this restriction, Roarr purposefully offloads handling of the logs to external processes so that the threading capabilities of the OS can be used (or other CPUs).
Depending on your configuration, consider one of the following log transports:
Use environment variables to control roarr
behavior.
Name | Function | Default | |
---|---|---|---|
ROARR_LOG | Boolean | Enables/ disables logging. | false |
ROARR_STREAM | STDOUT , STDERR | Name of the stream where the logs will be written. | STDOUT |
When using ROARR_STREAM=STDERR
, use 3>&1 1>&2 2>&3 3>&-
to pipe stderr output.
Roarr does not have reserved context property names. However, I encourage use of the following conventions:
Context property name | Use case |
---|---|
application | Name of the application (do not use in code intended for distribution; see package property instead). |
logLevel | A numeric value indicating the log level. See API for the build-in loggers with a pre-set log-level. |
namespace | Namespace within a package, e.g. function name. Treat the same way that you would construct namespaces when using the debug package. |
package | Name of the NPM package. |
The roarr pretty-print
CLI program is using the context property names suggested in the conventions to pretty-print the logs for the developer inspection purposes.
The roarr pretty-print
CLI program translates logLevel
values to the following human-readable names:
logLevel | Human-readable name |
---|---|
10 | TRACE |
20 | DEBUG |
30 | INFO |
40 | WARN |
50 | ERROR |
60 | FATAL |
To avoid code duplication, you can use a singleton pattern to export a logger instance with predefined context properties (e.g. describing the application).
I recommend to create a file Logger.js
in the project directory. Inside this file create and export a child instance of Roarr with context parameters describing the project and the script instance, e.g.
/**
* @file Example contents of a Logger.js file.
*/
import {
Roarr,
} from 'roarr';
export const Logger = Roarr.child({
// .foo property is going to appear only in the logs that are created using
// the current instance of a Roarr logger.
foo: 'bar'
});
Roarr does not have reserved context property names. However, I encourage use of the conventions.
Roarr is opinionated about how it serializes (converts objects to JSON string) log messages, e.g. in Node.js it uses a schema based serializer, which is very fast, but does not allow custom top-level properties.
You can override this serializer by defining ROARR.serializeMessage
:
import type {
MessageSerializer,
} from 'roarr';
const ROARR = globalThis.ROARR = globalThis.ROARR || {};
const serializeMessage: MessageSerializer = (message) => {
return JSON.stringify(message);
};
ROARR.serializeMessage = serializeMessage;
This is not specific to Roarr – this suggestion applies to any kind of logging.
If you want to include an instance of Error
in the context, you must serialize the error.
The least-error prone way to do this is to use an existing library, e.g. serialize-error
.
import {
Roarr as log,
} from 'roarr';
import serializeError from 'serialize-error';
// [..]
send((error, result) => {
if (error) {
log.error({
error: serializeError(error)
}, 'message not sent due to a remote error');
return;
}
// [..]
});
Without using serialization, your errors will be logged without the error name and stack trace.
globalThis.ROARR.write
in Node.jsOverriding globalThis.ROARR.write
in Node.js works the same way as it does in browser. However, overriding ROARR.write
in Node.js is considered an anti-pattern because it defeats some of the major benefits outlined in Motivation section of the documentation. Namely, by overriding ROARR.write
in Node.js you are adding blocking events to the event cycle and coupling application logic with log handling logic.
If you have a use case that asks for overriding ROARR.write
in Node.js, then raise an issue to discuss your requirements.
https://github.com/gajus/roarr-sentry
https://github.com/gajus/roarr-fastify
If you are using Elasticsearch, you will want to create an index template.
The following serves as the ground work for the index template. It includes the main Roarr log message properties (context, message, time) and the context properties suggested in the conventions.
{
"mappings": {
"log_message": {
"_source": {
"enabled": true
},
"dynamic": "strict",
"properties": {
"context": {
"dynamic": true,
"properties": {
"application": {
"type": "keyword"
},
"hostname": {
"type": "keyword"
},
"instanceId": {
"type": "keyword"
},
"logLevel": {
"type": "integer"
},
"namespace": {
"type": "text"
},
"package": {
"type": "text"
}
}
},
"message": {
"type": "text"
},
"time": {
"format": "epoch_millis",
"type": "date"
}
}
}
},
"template": "logstash-*"
}
If you are using Scalyr, you will want to create a custom parser RoarrLogger
:
{
patterns: {
tsPattern: "\\w{3},\\s\\d{2}\\s\\w{3}\\s\\d{4}\\s[\\d:]+",
tsPattern_8601: "\\d{4}-\\d{2}-\\d{2}T[\\d:.]+Z"
}
formats: [
{format: "${parse=json}$"},
{format: ".*\"time\":$timestamp=number$,.*"},
{format: "$timestamp=tsPattern$ GMT $detail$"},
{format: "$timestamp=tsPattern_8601$ $detail$"}
]
}
and configure the individual programs to use RoarrLogger
. In case of Kubernetes, this means adding a log.config.scalyr.com/attributes.parser: RoarrLogger
annotation to the associated deployment, pod or container.
If you are using NestJS, you can use nestjs-logger-roarr
to perform logging inside your application.
To enable one shared logger for the entire application:
import { RoarrLoggerService } from nestjs-logger-roarr';
import { AppModule } from "app.module";
const logger = RoarrLoggerService.sharedInstance();
const app = await NestFactory.create(AppModule, { logger });
To enable mutiple injected loggers via the usual Module syntax:
import { Module } from '@nestjs/common';
import { ConfigModule } from '@nestjs/config;
import { RoarrLoggerModule } from 'nestjs-logger-roarr';
@Module({
imports: [
RoarrLoggerModule.forRoot({
logLevel: 'warn', // this is the *minimum* log level that will be displayed
}),
]
})
export class AppModule {}
If your package is using Roarr, include instructions in README.md
describing how to enable logging, e.g.
## Logging
This project uses [`roarr`](https://www.npmjs.com/package/roarr) logger to log the program's state.
Export `ROARR_LOG=true` environment variable to enable log printing to `stdout`.
Use [`roarr-cli`](https://github.com/gajus/roarr-cli) program to pretty-print the logs.
Roarr by default truncates context properties if the context object is wider or deeper than 10 properties. At the moment, this is a hard-coded value. Waiting for feedback on whether this is a reasonable default and if it needs to be configurable.
When the context goes over this limit, you will start seeing ...
entries in your logs, e.g.
{"a":"a","b":"b","c":"c","d":"d","e":"e","f":"f","g":"g","h":"h","i":"i","j":"j","...":"1 item not stringified"}
The reason for this is to prevent accidental logging of massive objects that can cause context truncation and performance issues.
Every time a change is made to the logger, one must update ROARR_VERSION
value in ./src/config.ts
.
Unfortunately, this process cannot be automated because the version number is not known before semantic-version
is called.
FAQs
JSON logger for Node.js and browser.
The npm package roarr receives a total of 1,740,105 weekly downloads. As such, roarr popularity was classified as popular.
We found that roarr demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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