python daemon that munches on logs and sends their contents to logstash
Project description
python daemon that munches on logs and sends their contents to logstash
Requirements
Python 2.7 (untested on other versions)
Optional zeromq support: install libzmq (brew install zmq or apt-get install libzmq-dev) and pyzmq (pip install pyzmq==2.1.11)
Installation
Using PIP:
From Github:
pip install git+git://github.com/josegonzalez/beaver.git#egg=beaver
From PyPI:
pip install beaver==8
Usage
usage:
beaver [-h] [-m {bind,connect}] [-p PATH] [-f FILES [FILES ...]]
[-t {rabbitmq,redis,stdout,zmq,udp}] [-c CONFIG] [-d DEBUG]
optional arguments:
-h, --help show this help message and exit
-m {bind,connect}, --mode {bind,connect}
bind or connect mode
-p PATH, --path PATH path to log files
-f FILES [FILES ...], --files FILES [FILES ...]
space-separated filelist to watch, can include globs
(*.log). Overrides --path argument
-t {rabbitmq,redis,stdout,zmq}, --transport {rabbitmq,redis,stdout,zmq}
log transport method
-c CONFIG, --configfile CONFIG
ini config file path
-d DEBUG, --debug DEBUG
enable debug mode
Background
Beaver provides an lightweight method for shipping local log files to Logstash. It does this using either redis, stdin, zeromq as the transport. This means you’ll need a redis, stdin, zeromq input somewhere down the road to get the events.
Events are sent in logstash’s json_event format. Options can also be set as environment variables.
Examples
Example 1: Listen to all files in the default path of /var/log on standard out as json:
beaver
Example 2: Listen to all files in the default path of /var/log on standard out with msgpack:
BEAVER_FORMAT='msgpack' beaver
Example 3: Listen to all files in the default path of /var/log on standard out as a string:
BEAVER_FORMAT='string' beaver
Example 4: Sending logs from /var/log files to a redis list:
REDIS_URL="redis://localhost:6379/0" beaver -t redis
Example 5: Use environment variables to send logs from /var/log files to a redis list:
REDIS_URL="redis://localhost:6379/0" BEAVER_PATH="/var/log" BEAVER_TRANSPORT=redis beaver
Example 6: Zeromq listening on port 5556 (all interfaces):
ZEROMQ_ADDRESS="tcp://*:5556" beaver -m bind -t zmq
# logstash config:
input { zeromq {
type => 'shipper-input'
mode => 'client'
topology => 'pushpull'
address => 'tcp://shipperhost:5556'
} }
output { stdout { debug => true } }
Example 7: Zeromq connecting to remote port 5556 on indexer:
ZEROMQ_ADDRESS="tcp://indexer:5556" beaver -m connect -t zmq
# logstash config:
input { zeromq {
type => 'shipper-input'
mode => 'server'
topology => 'pushpull'
address => 'tcp://*:5556'
}}
output { stdout { debug => true } }
Example 8: Real-world usage of Redis as a transport:
# in /etc/hosts
192.168.0.10 redis-internal
# From the commandline
REDIS_NAMESPACE='app:unmappable' REDIS_URL='redis://redis-internal:6379/0' beaver -f /var/log/unmappable.log -t redis
# logstash indexer config:
input { redis {
host => 'redis-internal' # this is in dns for work
data_type => 'list'
key => 'app:unmappable'
type => 'app:unmappable'
}}
output { stdout { debug => "true" }}
As you can see, beaver is pretty flexible as to how you can use/abuse it in production.
Example 9: RabbitMQ connecting to defaults on remote broker:
# From the commandline
RABBITMQ_HOST="10.0.0.1" beaver -t rabbitmq
# logstash config:
input { amqp {
name => "logstash-queue"
type => "direct"
host => "10.0.0.1"
exchange => "logstash-exchange"
key => "logstash-key"
exclusive => false
durable => false
auto_delete => false
}}
output { stdout { debug => "true" }}
Example 10: Read config from config.ini and put to stdout:
# From the commandline beaver -c config.ini -t stdout # config.ini content: [/tmp/somefile] type: mytype tags: tag1,tag2 add_field: fieldname1,fieldvalue1[,fieldname2,fieldvalue2, ...] [/var/log/*log] type: syslog tags: sys
Example 11: UDP transport:
# From the commandline
UDP_HOST="127.0.0.1" UDP_PORT="9999" beaver -t udp
# logstash config:
input {
udp {
type => "shipper-input"
host => "127.0.0.1"
port => "9999"
}
}
output { stdout { debug => "true" }}
Todo
Use python threading + subprocess in order to support usage of yield across all operating systems
Fix usage on non-linux platforms - file.readline() does not work as expected on OS X. See above for potential solution
More transports
~Create a python package~
~Ability to specify files, tags, and other metadata within a configuration file~
Credits
Based on work from Giampaolo and Lusis:
Real time log files watcher supporting log rotation. Original Author: Giampaolo Rodola' <g.rodola [AT] gmail [DOT] com> http://code.activestate.com/recipes/577968-log-watcher-tail-f-log/ License: MIT Other hacks (ZMQ, JSON, optparse, ...): lusis
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