minlog
is a minimalistic logger (Swedish pun intended; it translates to "my log"),
inspired by bunyan
which was meant to be "a simple and fast JSON logging module",
but in time got one too many built-in (aka forced) features.
This minimalism translates to high performance as well,
as seen in benchmarks.
minlog
works with 4 concepts:
- logging
levels
which create the platform of logging verbosity - a log
entry
which is an object that carries the logging information (level, timestamp, etc) serializer
functions which are called in order to transform the log call's arguments into a logentry
listener
functions which are called in parallel (async) to handle the logentry
(i.e. print/save/proxy it)
import {
MinLog,
logToConsole,
serializeErr,
serializeTime
} from 'minlog';
let log = new MinLog({
serializers: [
serializeTime(),
serializeErr()
],
listeners: [
logToConsole({
level: 'error' // ignore log entries below the "error" level threshold
})
]
});
log.warn('This is a warning!'); // logToConsole will ignore this
log.error('This is an error!');
// if you want to make sure that a log entry has been processed by all serializers/listeners
await log.error('This is an error!').promise;
// if you want to make sure that all previous log entries have been processed by all serializers/listeners
await log.flush();
All signatures take one argument, which is an object, with the properties acting as named arguments.
The MinLog
constructor takes an object (or a Promise/function that returns an object) with:
serializers
: a list of serializer functionslisteners
: a list of listener functionslevels
: a list of extra mapping from semantical level to numerical onerequireRawEntry
: a flag to enable rawEntry in serializers/listeners. Defaults to false for performance reasons.requireSrc
: a flag to enable _src (caller info) in entry. Defaults to false for performance reasons.
The serializer
and the listener
functions take:
entry
: the logging information in its current formlogger
: a reference to the MinLog instancerawEntry
: the pre-serializers state of the logging information
The serializer
function must return a Promise with an amended entry
.
In its raw form, the entry
knows only of:
_time
: a Date object_level
: the logging level_src
: the logging source (file, line and function)_argN
: the positional argument passed to the logging call, where N is the numerical index_args
: the positional arguments passed to the logging callerr
: the first Error object passed to the logging callmsg
: the first String object passed to the logging call- properties of the plain objects passed to the logging call
The logging call arguments are handled as below for convenience:
- first String argument becomes
entry.msg
, ifentry.msg
is undefined at that point - first Error argument becomes
entry.err
, ifentry.err
is undefined at that point - all plain object arguments gets merged into
entry
- all other arguments are wrapped in a plain object
{_argN: <value>}
and merged intoentry
There is no builtin functionality for filtering log entries based on a logging level. This is by design, as it is up to the listener to worry about checking the entry's level and decide to ignore it or not.
If you intend to use minlog in a AWS Lambda and want Datadog to properly parse minlog
messages, use
this definition:
minlog_rule %{minlog_timestamp}\s+%{minlog_lambda_request_id}\s+%{minlog_level}\s+(%{minlog_src}\s+)?%{minlog_msg}\s+%{minlog_extra}
minlog_raw_rule %{minlog_timestamp}\s+%{minlog_lambda_request_id}\s+%{minlog_level}\s+[^\{]*\s+%{minlog_extra}
### NO CHANGES BELOW THIS LINE
# Common
report_rule REPORT %{request_id}\s+Duration: %{number:duration:scale(1000000)} ms\s+Billed Duration: %{number:lambda.billed_duration} ms\s+Memory Size: %{number:lambda. memorysize} MB\s+Max Memory Used: %{number:lambda.max_memory_used} MB%{data:xray:keyvalue(": ")}
default_request_rule %{word:lambda.step}\s+%{request_id}(\s+Version: %{notSpace:lambda.version})?
timeout_rule (%{date("yyyy-MM-dd'T'HH:mm:ss.SSSZ"):timestamp}|%{date("yyyy-MM-dd'T'HH:mm:ss.SSZ"):timestamp})\s+%{notSpace:lambda.request_id}\s+%{regex("Task timed out"):error.message} after (%{number:duration:scale(1000000000)} seconds|%{number:duration:scale(1000000)} milliseconds)
process_error_rule %{request_id} (%{regex("Process exited before completing request"):error.message}|%{regex("Error"):level}:%{data:error.message})
# Node
node_json_rule %{node_prelude}(\s*Invoke Error\s*)?%{data::json}
# Python
python_rule %{python_prelude}.*
python_error %{regex("[^:]*"):error.message}: %{notSpace:error.kind}(\n|\s|\t)*Traceback \(most recent call last\):(?s)\s*%{data:error.stack}
# Ruby
ruby_basic %{regex("[\\w]")},\s\[%{date("yyyy-MM-dd'T'HH:mm:ss.SSSSSS"):timestamp} #%{number}\]\s+%{word:level} --\s*: %{data::keyvalue}
fallback_json (%{date("yyyy-MM-dd'T'HH:mm:ss.SSSZ"):timestamp}|%{date("yyyy-MM-dd'T'HH:mm:ss.SSZ"):timestamp})\s+%{notSpace:lambda.request_id}\s+(%{word:level}:)?(%{data::json})
# Sample
# START RequestId: c9a3b892-c2ca-4391-82fe-a47570039262 Version: $LATEST
# REPORT RequestId: ab5d39f5-1270-4226-9878-27f51b1bed57 Duration: 8384.24 ms Billed Duration: 8400 ms Memory Size: 128 MB Max Memory Used: 128 MB
# 2019-07-18T18:58:55.265Z 189a9433-fb77-4659-90d4-bc06edb890e0 ERROR Invoke Error {"errorType":"Error","errorMessage":"A test error"}
# 2019-07-18T18:58:22.286Z b5264ab7-2056-4f5b-bb0f-a06a70f6205d Task timed out after 30.03 seconds
# [ERROR] 2019-07-18T21:30:46.599Z ffbce4c2-d80e-4ffa-a0bc-505361e28b8a This is a regular python error
# 2019-07-18T19:47:18.146Z 95ce2ab7-cf99-4030-bede-2055a69cedec ERROR This is a regular node error
Advanced settings:
Extract from message
:
minlog_timestamp %{date("yyyy-MM-dd'T'HH:mm:ss.SSSZ"):timestamp}
minlog_lambda_request_id (\-|%{notSpace:lambda.request_id})
minlog_level %{word:level}
minlog_src %{regex("[^:]+"):minlog._src.filename}:%{regex("[0-9]+"):minlog._src.line}:%{regex("[0-9]+"):minlog._src.column}( in %{notSpace:minlog._src.function})?
minlog_msg %{data:minlog.msg}([\u00A0]{0,255}\.)?
minlog_extra %{regex("\\{.*\\}"):minlog:json}
### NO CHANGES BELOW THIS LINE
request_id RequestId: %{notSpace:lambda.request_id}
node_prelude (%{date("yyyy-MM-dd'T'HH:mm:ss.SSSZ"):timestamp}|%{date("yyyy-MM-dd'T'HH:mm:ss.SSZ"):timestamp})\s+%{notSpace:lambda.request_id}\s+(\[)?+%{word:level}+(\])?
python_prelude \[%{word:level}\]?\s+(%{date("yyyy-MM-dd'T'HH:mm:ss.SSSZ"):timestamp}|%{date("yyyy-MM-dd'T'HH:mm:ss.SSZ"):timestamp})\s+%{notSpace:lambda.request_id}