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Versatile parallel log parser

Project Description

Versatile log parser (providing default extractors for apache/lighttpd)

Command line usage

Example of data parsed with yahi: http://wwwstat.julbox.fr/

Simplest usage is:

speed_shoot -g /usr/local/data/geoIP /var/www/apache/access*log

it will return a json in the form:

{
    "by_date": {
        "2012-5-3": 11
    },
    "total_line": 11,
    "ip_by_url": {
        "/favicon.ico": {
            "192.168.0.254": 2,
            "192.168.0.35": 2
        },
        "/": {
            "74.125.18.162": 1,
            "192.168.0.254": 1,
            "192.168.0.35": 5
        }
    },
    "by_status": {
        "200": 7,
        "404": 4
    },
    "by_dist": {
        "unknown": 11
    },
    "bytes_by_ip": {
        "74.125.18.162": 151,
        "192.168.0.254": 489,
        "192.168.0.35": 1093
    },
    "by_url": {
        "/favicon.ico": 4,
        "/": 7
    },
    "by_os": {
        "unknown": 11
    },
    "week_browser": {
        "3": {
            "unknown": 11
        }
    },
    "by_referer": {
        "-": 11
    },
    "by_browser": {
        "unknown": 11
    },
    "by_ip": {
        "74.125.18.162": 1,
        "192.168.0.254": 3,
        "192.168.0.35": 7
    },
    "by_agent": {
        "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:12.0) Gecko/20100101 Firefox/12.0,gzip(gfe) (via translate.google.com)": 1,
        "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:12.0) Gecko/20100101 Firefox/12.0": 10
    },
    "by_hour": {
        "9": 3,
        "10": 4,
        "11": 1,
        "12": 3
    },
    "by_country": {
        "": 10,
        "US": 1
    }
}

If you use:

speed_shoot -f csv -g /usr/local/data/geoIP /var/www/apache/access*log

Your result is:

by_date,2012-5-3,11
total_line,11
ip_by_url,/favicon.ico,192.168.0.254,2
ip_by_url,/favicon.ico,192.168.0.35,2
ip_by_url,/,74.125.18.162,1
ip_by_url,/,192.168.0.254,1
ip_by_url,/,192.168.0.35,5
by_status,200,7
by_status,404,4
by_dist,unknown,11
bytes_by_ip,74.125.18.162,151
bytes_by_ip,192.168.0.254,489
bytes_by_ip,192.168.0.35,1093
by_url,/favicon.ico,4
by_url,/,7
by_os,unknown,11
week_browser,3,unknown,11
by_referer,-,11
by_browser,unknown,11
by_ip,74.125.18.162,1
by_ip,192.168.0.254,3
by_ip,192.168.0.35,7
by_agent,"Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:12.0) Gecko/20100101 Firefox/12.0,gzip(gfe) (via translate.google.com)",1
by_agent,Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:12.0) Gecko/20100101 Firefox/12.0,10
by_hour,9,3
by_hour,10,4
by_hour,11,1
by_hour,12,3
by_country,,10
by_country,US,1

Well I guess, it does not work because you first need to fetch geoIP data file:

wget -O- "http://www.maxmind.com/download/geoip/database/GeoLiteCountry/GeoIP.dat.gz" | zcat > /usr/local/data/GeoIP.dat

Of course, this is the geoLite database, I don’t include the data in the package since geoIP must be updated often to stay accurate.

Default path for geoIP is data/GeoIP.dat

Use as a script

speed shoot is in fact a template of how to use yahi as a module:

#!/usr/bin/env python
from archery.bow import Hankyu as _dict
from yahi import notch, shoot
from datetime import datetime


context=notch()
date_formater= lambda dt :"%s-%s-%s" % ( dt.year, dt.month, dt.day)
context.output(
    shoot(
        context,
        lambda data : _dict({
            'by_country': _dict({data['_country']: 1}),
            'by_date': _dict({date_formater(data['_datetime']): 1 }),
            'by_hour': _dict({data['_datetime'].hour: 1 }),
            'by_os': _dict({data['_os_name']: 1 }),
            'by_dist': _dict({data['_dist_name']: 1 }),
            'by_browser': _dict({data['_browser_name']: 1 }),
            'by_ip': _dict({data['ip']: 1 }),
            'by_status': _dict({data['status']: 1 }),
            'by_url': _dict({data['uri']: 1}),
            'by_agent': _dict({data['agent']: 1}),
            'by_referer': _dict({data['referer']: 1}),
            'ip_by_url': _dict({data['uri']: _dict( {data['ip']: 1 })}),
            'bytes_by_ip': _dict({data['ip']: int(data['bytes'])}),
            'week_browser' : _dict({data['_datetime'].weekday():
                _dict({data["_browser_name"] :1 })}),
            'total_line' : 1,
        }),
    ),
)

Installation

easy as:

pip install yahi

or:

easy_install yahi

Recommanded usage

  • for basic log aggregation, I do recommand using command line;
  • for one shot metrics I recommend an interactive console (bpython or ipython);
  • for specific metrics or elaborate filters I recommand using the API.
Release History

Release History

This version
History Node

0.1.2

History Node

0.1.1

History Node

0.1.0

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
yahi-0.1.2.tar.gz (14.4 kB) Copy SHA256 Checksum SHA256 Source Sep 3, 2012

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