List of Syntax for Logstash's Grok
Better Stack Team
Updated on November 18, 2024
Logstash's Grok filter provides predefined patterns for parsing logs and extracting fields. Here’s a guide to common Grok syntax patterns and examples for their usage.
Common Grok Patterns
Data Types
%{WORD}
: Matches a single word, useful for extracting non-space text.%{NUMBER}
: Matches an integer or decimal.%{INT}
: Matches an integer (no decimals).%{FLOAT}
: Matches a floating-point number.
Example:
"User ID: %{NUMBER:user_id}"
Date and Time
%{TIMESTAMP_ISO8601}
: Matches an ISO 8601 timestamp (yyyy-MM-dd'T'HH:mm:ss.SSSZ
).%{DATE_US}
: Matches a date inMM/dd/yyyy
format.%{DATE_EU}
: Matches a date indd/MM/yyyy
format.%{TIME}
: Matches a time inHH:mm:ss
format.
Example:
"%{TIMESTAMP_ISO8601:timestamp}"
Network
%{IP}
: Matches an IPv4 or IPv6 address.%{HOSTNAME}
: Matches a hostname.%{MAC}
: Matches a MAC address.
Example:
"Client IP: %{IP:client_ip}"
Logs and HTTP Patterns
%{COMMONAPACHELOG}
: Parses a typical Apache log format.%{COMBINEDAPACHELOG}
: Parses Apache combined log format.%{HTTPDATE}
: Matches an HTTP-style date.
Example:
"%{COMBINEDAPACHELOG}"
Custom Patterns
%{GREEDYDATA}
: Matches everything (often used at the end).%{DATA}
: Matches anything (less greedy thanGREEDYDATA
).
Example:
"%{WORD:loglevel} %{GREEDYDATA:message}"
Example Grok Filter
For an Apache log entry:
127.0.0.1 - - [25/Oct/2024:10:15:00 +0000] "GET /index.html HTTP/1.1" 200 2326
Grok filter configuration:
filter {
grok {
match => { "message" => '%{IP:client_ip} %{USER:ident} %{USER:auth} \\[%{HTTPDATE:timestamp}\\] "%{WORD:method} %{URIPATH:request} HTTP/%{NUMBER:http_version}" %{NUMBER:response} %{NUMBER:bytes}' }
}
}
This filter extracts fields like client_ip
, timestamp
, method
, request
, response
, and bytes
from each log entry.
Tips for Grok Pattern Usage
- Combine patterns to match complex log structures.
- Use
?
for optional fields, such as"%{USER:user}?"
. - Test patterns with the Grok Debugger in Kibana or online tools to validate before deploying to production.
These patterns and tips should help you parse various types of logs efficiently with Grok in Logstash.