Grok Parser
Overview
Grok parser is a filter that helps analyze and structure unstructured data. Grok parser uses patterns to parse log data.
Configure Grok parser
To create a Grok parser configuration, follow the instructions below:
In the Processor information section , enter general information for a processor according to the instructions at Processor . In this content, you will choose Processor type as Grok Parser .
In the Parsing rule section , enter the following information:
2.1 Enter Source field : field contains logs that will need to be parsed.
2.2 Enter Target field : field will be overwritten in destination log project, normally you will not need to enter this information
2.3 Enter Rule pattern : contains grok pattern to match source field and parse out according to structure.
For example:
webserver
webserver-parse
%{IP:client_ip} %{USER:ident} %{USER:auth} \[%{HTTPDATE:timestamp}\] "%{WORD:http_method} %{URIPATHPARAM:request} HTTP/%{NUMBER:http_version}" %{NUMBER:response_code} %{NUMBER:response_size}
{ "request": "/core/themes/theme.inc/?post==", "MONTH": "Aug", "response_code": "200", "IPV6": null, "auth": "-", "HOUR": "12", "ident": "-", "IPV4": "87.251.81.179", "BASE10NUM": [ "1.0", "200", "63388" ], "http_version": "1.0", "TIME": "12:16:39", "URIQUERY": "post==", "INT": "+0200", "response_size": "63388", "http_method": "GET", "YEAR": "2023", "URIPATH": "/core/themes/theme.inc/", "USERNAME": [ "-", "-" ], "client_ip": "87.251.81.179", "MINUTE": "16", "SECOND": "39", "MONTHDAY": "01", "timestamp": "01/Aug/2023:12:16:39 +0200" }
3. In the Test rules section , enter the following information:
Enter Log samples as sample log lines so you can check if the rule pattern is parsed successfully.
Click Test your rules to see if the system parses successfully
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Store and reuse Parsing rules
You can store a parsing rule by checking Save this rule , then entering a memorable name for the parsing rule you want to store. The mnemonic name has a minimum length of 5 characters, a maximum length of 255 characters and can only include upper and lower case letters (az, AZ), numbers (0-9), and dots (.), space ( ), underscore (_), hyphen (-), and the @ character.
After the parsing rule has been stored, in subsequent processor creations you can reuse this rule by selecting Rule presets in the Pasing rule section.
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