- Logstash - Home
- Logstash - Introduction
- Logstash - ELK Stack
- Logstash - Installation
- Logstash - Internal Architecture
- Logstash Parse and Transform
- Logstash - Parsing the Logs
- Logstash - Filters
- Logstash - Transforming the Logs
- Logstash Output Stage
- Logstash - Output Stage
- Logstash - Supported Outputs
- Logstash Advanced Topics
- Logstash - Plugins
- Logstash - Monitoring APIs
- Logstash - Security and Monitoring
- Logstash Useful Resources
- Logstash - Quick Guide
- Logstash - Useful Resources
- Logstash - Discussion
Logstash - Filters
Logstash uses filters in the middle of the pipeline between input and output. The filters of Logstash measures manipulate and create events like Apache-Access. Many filter plugins used to manage the events in Logstash. Here, in an example of the Logstash Aggregate Filter, we are filtering the duration every SQL transaction in a database and computing the total time.
Installing the Aggregate Filter Plugin
Installing the Aggregate Filter Plugin using the Logstash-plugin utility. The Logstash-plugin is a batch file for windows in bin folder in Logstash.
>logstash-plugin install logstash-filter-aggregate
logstash.conf
In this configuration, you can see three if statements for Initializing, Incrementing, and generating the total duration of transaction, i.e., the sql_duration. The aggregate plugin is used to add the sql_duration, present in every event of the input log.
input {
file {
path => "C:/tpwork/logstash/bin/log/input.log"
}
}
filter {
grok {
match => [
"message", "%{LOGLEVEL:loglevel} -
%{NOTSPACE:taskid} - %{NOTSPACE:logger} -
%{WORD:label}( - %{INT:duration:int})?"
]
}
if [logger] == "TRANSACTION_START" {
aggregate {
task_id => "%{taskid}"
code => "map['sql_duration'] = 0"
map_action => "create"
}
}
if [logger] == "SQL" {
aggregate {
task_id => "%{taskid}"
code => "map['sql_duration'] ||= 0 ;
map['sql_duration'] += event.get('duration')"
}
}
if [logger] == "TRANSACTION_END" {
aggregate {
task_id => "%{taskid}"
code => "event.set('sql_duration', map['sql_duration'])"
end_of_task => true
timeout => 120
}
}
}
output {
file {
path => "C:/tpwork/logstash/bin/log/output.log"
}
}
Run Logstash
We can run Logstash by using the following command.
>logstash f logstash.conf
input.log
The following code block shows the input log data.
INFO - 48566 - TRANSACTION_START - start INFO - 48566 - SQL - transaction1 - 320 INFO - 48566 - SQL - transaction1 - 200 INFO - 48566 - TRANSACTION_END - end
output.log
As specified in the configuration file, the last if statement where the logger is TRANSACTION_END, which prints the total transaction time or sql_duration. This has been highlighted in yellow color in the output.log.
{
"path":"C:/tpwork/logstash/bin/log/input.log","@timestamp": "2016-12-22T19:04:37.214Z",
"loglevel":"INFO","logger":"TRANSACTION_START","@version": "1","host":"wcnlab-PC",
"message":"8566 - TRANSACTION_START - start\r","tags":[]
}
{
"duration":320,"path":"C:/tpwork/logstash/bin/log/input.log",
"@timestamp":"2016-12-22T19:04:38.366Z","loglevel":"INFO","logger":"SQL",
"@version":"1","host":"wcnlab-PC","label":"transaction1",
"message":" INFO - 48566 - SQL - transaction1 - 320\r","taskid":"48566","tags":[]
}
{
"duration":200,"path":"C:/tpwork/logstash/bin/log/input.log",
"@timestamp":"2016-12-22T19:04:38.373Z","loglevel":"INFO","logger":"SQL",
"@version":"1","host":"wcnlab-PC","label":"transaction1",
"message":" INFO - 48566 - SQL - transaction1 - 200\r","taskid":"48566","tags":[]
}
{
"sql_duration":520,"path":"C:/tpwork/logstash/bin/log/input.log",
"@timestamp":"2016-12-22T19:04:38.380Z","loglevel":"INFO","logger":"TRANSACTION_END",
"@version":"1","host":"wcnlab-PC","label":"end",
"message":" INFO - 48566 - TRANSACTION_END - end\r","taskid":"48566","tags":[]
}