= fluent-plugin-datacounter
== Component
=== DataCounterOutput
Count messages with data matches any of specified regexp patterns in specified attribute.
- Counts per min/hour/day
- Counts per second (average every min/hour/day)
- Percentage of each pattern in total counts of messages
DataCounterOutput emits messages contains results data, so you can output these message (with 'datacount' tag by default) to any outputs you want.
output ex1 (aggregates all inputs): {"pattern1_count":20, "pattern1_rate":0.333, "pattern1_percentage":25.0, "pattern2_count":40, "pattern2_rate":0.666, "pattern2_percentage":50.0, "unmatched_count":20, "unmatched_rate":0.333, "unmatched_percentage":25.0}
output ex2 (aggregates per tag): {"test_pattern1_count":10, "test_pattern1_rate":0.333, "test_pattern1_percentage":25.0, "test_pattern2_count":40, "test_pattern2_rate":0.666, "test_pattern2_percentage":50.0, "test_unmatched_count":20, "test_unmatched_rate":0.333, "test_unmatched_percentage":25.0}
'input_tag_remove_prefix' option available if you want to remove tag prefix from output field names.
== Configuration
=== DataCounterOutput
Count messages that have attribute 'referer' as 'google.com', 'yahoo.com' and 'facebook.com' from all messages matched, per minutes.
type datacounter
unit minute
aggregate all
count_key referer
# patternX: X(1-20)
pattern1 google google.com
pattern2 yahoo yahoo.com
pattern3 facebook facebook.com
# but patterns above matches 'this-is-facebookXcom.xxxsite.com' ...
Or, more exact match pattern, output per tags (default 'aggregate tag'), per hours.
type datacounter
unit hour
count_key referer
# patternX: X(1-20)
pattern1 google ^http://www\.google\.com/.*
pattern2 yahoo ^http://www\.yahoo\.com/.*
pattern3 twitter ^https://twitter.com/.*
HTTP status code patterns.
type datacounter
count_interval 1m # just same as 'unit minute' and 'count_interval 60s'
# you can also specify '30s', '5m', '2h' ....
count_key status
# patternX: X(1-20)
pattern1 2xx ^2\d\d$
pattern2 3xx ^3\d\d$
pattern3 404 ^404$ # we want only 404 counts...
pattern4 4xx ^4\d\d$ # pattern4 doesn't matches messages matches pattern[123]
pattern5 5xx ^5\d\d$
If you want not to include 'unmatched' counts into percentage, use 'outcast_unmatched' configuration:
type datacounter
count_key status
# patternX: X(1-20)
pattern1 2xx ^2\d\d$
pattern2 3xx ^3\d\d$
pattern3 4xx ^4\d\d$
pattern4 5xx ^5\d\d$
outcast_unmatched yes # '*_percentage' fields culculated without 'unmatched' counts, and
# 'unmatched_percentage' field will not be produced
With 'output_per_tag' option and 'tag_prefix', we get one result message for one tag, like below:
type datacounter
count_key status
pattern1 OK ^2\d\d$
pattern2 NG ^\d\d\d$
input_tag_remove_prefix accesslog
output_per_tag yes
tag_prefix status
# => tag: 'status.foo' or 'status.bar'
# message: {'OK_count' => 60, 'OK_rate' => 1.0, 'OK_percentage' => 70, 'NG_count' => , ....}
And you can get tested messages count with 'output_messages' option:
type datacounter
count_key status
pattern1 OK ^2\d\d$
pattern2 NG ^\d\d\d$
input_tag_remove_prefix accesslog
output_messages yes
# => tag: 'datacount'
# message: {'foo_messages' => xxx, 'foo_OK_count' => ... }
type datacounter
count_key status
pattern1 OK ^2\d\d$
pattern2 NG ^\d\d\d$
input_tag_remove_prefix accesslog
output_per_tag yes
tag_prefix datacount
output_messages yes
# => tag: 'datacount.baz'
# message: {'messages' => xxx, 'OK_count' => ...}
== TODO
- consider what to do next
- patches welcome!
== Copyright
Copyright:: Copyright (c) 2012- TAGOMORI Satoshi (tagomoris)
License:: Apache License, Version 2.0