jog

JSON logging & reporting inspired by Loggly.

Installation

$ npm install jog

Features

• namespace support
• rich json documents
• log levels
• file store
• redis store
• document streaming
• tail -f like streaming
• CLI to tail and map / reduce logs

API

log.write(level, type[, obj])

Write to the logs:

log.write(level, type[, obj])
log.debug(type[, obj])
log.info(type[, obj])
log.warn(type[, obj])
log.error(type[, obj])

log.ns(obj)

Namespace with the given obj, returning a new Jog instance inheriting previous properties. You may call this several times to produce more and more specific loggers.

var log = jog(new jog.FileStore('/tmp/log'));

// log a user 5
log = log.ns({ uid: 5 });

// log video id 99 for user 5
log = log.ns({ vid: 99 });

// or both at once
log = log.ns({ uid: 5, vid: 99 });

log.stream(options)

Return an EventEmitter emitting "data" and "end" events.

• end when false streaming will not end
• interval the interval at which to poll (store-specific)

log.clear(callback)

Clear the logs and invoke the callback.

Example

Log random data using the FileStore and tail the file for changes (typically in different processes). Jog will add the .level and .type properties for you.

var jog = require('jog')
  , log = jog(new jog.FileStore('/tmp/tail'))
  , id = 0;

// generate random log data
function again() {
  log.info('something happened', { id: ++id, user: 'Tobi' });
  setTimeout(again, Math.random() * 100 | 0);
}

again();

// tail the json "documents"
log.stream({ end: false, interval: 500 })
  .on('data', function(obj){
    console.log(obj);
  });

yields:

{ id: 1,
  level: 'info',
  type: 'something happened',
  timestamp: 1332907641734 }
{ id: 2,
  level: 'info',
  type: 'something happened',
  timestamp: 1332907641771 }
...

jog(1)

  Usage: jog [options]

  Options:

    -h, --help          output usage information
    -V, --version       output the version number
    -w, --within <ms>   filter events to within the given <ms>
    -t, --type <name>   filter using the given type <name>
    -l, --level <name>  filter using the given level <name>
    -f, --ignore-eof    do not stop on EOF
    -F, --file <path>   load from the given <path>
    -R, --redis         load from redis store
    -s, --select <fn>   use the given <fn> for filtering
    -m, --map <fn>      use the given <fn> for mapping
    -r, --reduce <fn>   use the given <fn> for reducing
    -c, --color         color the output
    -j, --json          output JSON (--color will not work)

Examples

View all logs from tobi. The _ object for the function bodies of --select and --map represents the current document, it's all just javascript.

jog --file /tmp/jog --select "_.user == 'tobi'"
[ { user: 'tobi',
    duration: 1000,
    level: 'info',
    type: 'rendering video',
    timestamp: 1332861272100 },
  { user: 'tobi',
    duration: 2000,
    level: 'info',
    type: 'compiling video',
    timestamp: 1332861272100 },
...

Filter video compilation durations from "tobi" only:

$ jog --file /var/log/videos.log --select "_.user == 'tobi'" --map _.duration
[ 1000, 2000, 1200, 1000, 2000, 1200 ]

Flags can be used several times:

jog --file /var/log/videos.log --select "_.vid < 5" --map _.type --map "_.split(' ')"
[ [ 'compiling', 'video' ],
  [ 'compiling', 'video' ],
  [ 'compiling', 'video' ],
  [ 'compiling', 'video' ] ]

Tail errors only, with color:

$ jog --file my.log -f -c --select '_.level == "error"'
{ level: 'error',
  type: 'something broke',
  timestamp: 1333943982669 }

Display error messages within the last 10 seconds:

$ jog -F my.log --level error --select "Date.now() - _.timestamp < 10000" --map _.type
[ 'something broke', 'something broke', 'something broke' ]

Events within the last 10 minutes, 5 seconds, and 200ms:

$ jog -F my.log --within 10m
$ jog -F my.log --within 5s
$ jog -F my.log --within 200

Stores

By default Jog ships with the FileStore and RedisStore, however anything with the following methods implemented will work:

- `add(obj)` to add a log object
- `stream() => EventEmitter` to stream data
- `stream({ end: false }) => EventEmitter` to stream data indefinitely
- `clear(fn)` to clear the logs

FileStore(path)

Store logs on disk.

var jog = require('jog');
var log = jog(new jog.FileStore('/var/log/videos.log'));

RedisStore([client])

Store logs in redis.

var jog = require('jog');
var log = jog(new jog.RedisStore);

Performance

No profiling or optimizations yet but the FileStore can stream back 250,000 documents (~21MB) in 1.2 seconds on my macbook air.

The RedisStore with 250,000 documents streamed back in 2.8 seconds on my air.

Running tests

$ npm install
$ redis-server &
$ make test

License

(The MIT License)

Copyright (c) 2012 LearnBoost <[email protected]>

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the 'Software'), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.