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mongolog

Centralized logging made simple using MongoDB

  • 0.1.2
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MongoLog: Centralized logging made simple using MongoDB

.. image:: https://travis-ci.org/puentesarrin/mongodb-log.png :target: https://travis-ci.org/puentesarrin/mongodb-log :alt: Travis CI status

.. image:: https://pypip.in/v/mongolog/badge.png :target: https://pypi.python.org/pypi/mongolog :alt: Latest PyPI version

.. image:: https://pypip.in/d/mongolog/badge.png :target: https://pypi.python.org/pypi/mongolog :alt: Number of PyPI downloads

:Info: MongoDB python logging handler. Python centralized logging made easy. :Author: Andrei Savu_ :Maintainer: Jorge Puente Sarrín_

Setup

Before using this handler for logging you will need to create a capped collection on the MongoDB server.

You can do this using the following commands in the MongoDB shell::

use mongolog db.createCollection('log', {capped:true, size:100000})

... and you are ready. Running stats() function on log collection should show something like this::

db.log.stats() { "ns" : "mongolog.log", "count" : 0, "size" : 0, "storageSize" : 102400, "numExtents" : 1, "nindexes" : 1, "lastExtentSize" : 102400, "paddingFactor" : 1, "systemFlags" : 1, "userFlags" : 0, "totalIndexSize" : 8176, "indexSizes" : { "id" : 8176 }, "capped" : true, "max" : 2147483647, "ok" : 1 }

Usage

import logging from mongolog.handlers import MongoHandler

log = logging.getLogger('demo') log.setLevel(logging.DEBUG) log.addHandler(MongoHandler.to(db='mongolog', collection='log'))

log.debug('Some message')

Check the samples folder for more details.

Why centralized logging?

  • Easy troubleshouting:
    • Having the answers to why? quickly and accurately.
    • For troubleshouting while the system is down.
    • Removed risk of loss of log information.
  • Resource tracking.
  • Security.

What is MongoDB?

"MongoDB is a high-performance, open source, schema-free document-oriented database."

It can eficiently store arbitrary JSON objects. You can read more at MongoDB website_.

Why MongoDB is great for logging?

  • MongoDB inserts can be done asynchronously.
  • Old log data automatically LRU's out thanks to capped collections.
  • It's fast enough for the problem.
  • Document-oriented / JSON is a great format for log information.

Read more about this subject on the MongoDB blog_.

Have fun!

.. _Andrei Savu: https://github.com/andreisavu .. _Jorge Puente Sarrín: https://github.com/puentesarrin .. _MongoDB website: http://www.mongodb.org .. _MongoDB blog: http://blog.mongodb.org/post/172254834/mongodb-is-fantastic-for-logging

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