problem finding a right grok pattern for all my logs in order to parse all of them through logstash. here is my sample log
20180809 17:43:27,user.mystack.com,adam,172.16.1.1,36610,QUERY,test_db,select * from table,'SET autocommit=0',0
I want grok pattern which parse the log in the format:
Date- 09/08/2018 17:43:27
Domain- user.mystack.com
User- adam
ClientIP- 172.16.1.1
ID- 36610
Operation- Query
Db_name- test_db
Query- select * from table,'SET autocommit=0',0
This will be the grok pattern:
grok {
match => ["message", '%{DATA:Date},%{DATA:Domain},%{DATA:User},%{DATA:ClientIP},%{DATA:ID},%{DATA:Operation},%{DATA:Db_name},%{GREEDYDATA:Query}']
}
DATA and GREEDYDATA are just regular expression patterns that can be reused conveniently. There are more patterns that we can use and are available here: https://github.com/logstash-plugins/logstash-patterns-core/blob/master/patterns/grok-patterns
Also, use this app to test your grok patterns: https://grokdebug.herokuapp.com/
To convert the date field use the date filter if you're planning to do time-based plotting of your logs and requests. Date filter: https://www.elastic.co/guide/en/logstash/current/plugins-filters-date.html
Related
I'm trying to take the search word out of the slow logs. It is required to keep this extracted term in a different field so that I can visualize it via Kibana.
For example:
The search slow log on which I am testing the grok pattern is :
{\"query\":{\"bool\":{\"should\":[{\"match\":{\"sentences.0\":{\"query\":\"Professional\"}}}],\"boost\":1.0}},\"_source\":false,\"fields\":[{\"field\":\"url\"}],\"highlight\":{\"fields\":{\"sentences.0\":{}}}}
Since "Professional" is the search term in this case, I want to keep it in a separate field.
I tried to use this below grok pattern
grok {
match => { "message" => 'queryterm=(?<query>[a-z])' }
}
But the above grok pattern is not working.
Can anyone please help me out with this?
I was working with logstash to structure the following type of logs:
14 Apr 2020 22:49:02,868 [INFO] 1932a8e0-3892-4bae-81e3-1fc1850dff55-LPmAoB (coral-client-orchestrator-41786) hub_delivery_audit: RequestContext{CONTAINER_ID=200414224842439045902810201AZ, TRACKING_ID=TSTJ8N7GLBS0ZZW, PHYSICAL_ATTRIBUTES=PhysicalAttributes(length=Dimension(value=30.0, unit=CM, type=null), width=Dimension(value=30.0, unit=CM, type=null), height=Dimension(value=30.0, unit=CM, type=null), scaleWeight=Weight(value=5.0, unit=kg, type=null)), SHIP_METHOD=AMZN_US_PRIME, ADDRESS_ID=LDI7ICATBZNOAQNW634MG057BMA07370713J4ZQ1VGOMB7KPXTQ2EIA2OX4CKT7L, CUSTOMER_ID=A07370713J4ZQ1VGOMB7K, REQUEST_STATE=UNKNOWN, RESPONSE=GetAccessPointsForHubDeliveryOutput(destinationLocation=null, fallBackLocation=null, capability=null), IS_COMMERCIAL_ATTRIBUTE_PRESENT=false}
and I wanted to extract the following data out of it:
CONTAINER_ID
TRACKING_ID
PHYSICAL_ATTRIBUTES
SHIP_METHOD
ADDRESS_ID
REQUEST_STATE
RESPONSE
But I'm not able to figure out appropriate filter for such large log event. I've tried using https://grokdebug.herokuapp.com/ and went through Logstash grok documentation as well, but still couldn't extract the required fields. I could only come up with this:
%{MONTHDAY:monthday} %{MONTH:month} %{YEAR:year} %{TIME:time} [%{LOGLEVEL:logLevel}] %{HOSTNAME}
Please suggest an approach on this and how to directly filter the following fields without creating extra fields like time and date.
I have tried the following grok pattern
{CONTAINER_ID=%{DATA:container_id}, TRACKING_ID=%{DATA:tracking_id}, PHYSICAL_ATTRIBUTES=PhysicalAttributes%{DATA:physical_attributes} SHIP_METHOD=%{DATA:ship_method}, ADDRESS_ID=%{DATA:address_id}, CUSTOMER_ID=%{DATA:customer_id}, REQUEST_STATE=%{DATA:request_state}, RESPONSE=%{GREEDYDATA:response}(?=,)
in grok debugger (https://grokdebug.herokuapp.com/)
Output:
I'm trying to use a lookbehind and a lookahead in a Grok custom pattern and getting pattern match errors in the Grok debugger that I cannot resolve.
This is for archiving system logs. I am currently trying to parse the postgrey application.
Given data such as:
2019-04-09T11:41:31-05:00 67.157.192.7 postgrey: action=pass, reason=triplet found, delay=388, client_name=unknown, client_address=103.255.78.9, sender=members#domain.com, recipient=person#domain.com
I'm trying to use the following to pull the string between "action=" and the comma immediately following it as the field "postgrey_action":
%{TIMESTAMP_ISO8601:timestamp} (?:%{SYSLOGFACILITY} )?%{SYSLOGHOST:logsource} %{SYSLOGPROG} (?<postgrey_action>(?<=action=).+?(?=\,))
I expect to see the following output:
{
"program": "dhcpd:",
"logsource": "66.146.192.67",
"timestamp": "2019-04-09T11:41:31-05:00"
"postgrey_action": "pass"
}
Instead, from the debugger, I receive "Provided Grok patterns do not match data in the input".
How can I properly make this lookbehind/lookahead work?
Edit: I should note that without the postgrey_action match at the end of the Grok pattern, the Grok Debugger runs and works as expected (using linux-syslog and grok-patterns).
Logstash version 6.3.2
As a work around, I have resorted to modifying my syntax, using a custom patterns file, and referencing it in each filter using the patterns_dir directive.
Ex.
My pattern:
POSTGREY %{TIMESTAMP_ISO8601:timestamp} (?:%{SYSLOGFACILITY} )?%{SYSLOGHOST:logsource} %{SYSLOGPROG} (action=)%{WORD:postgrey_action}(,) (reason=)%{DATA:postgrey_reason}(,) (delay=)%{NUMBER:postgrey_delay}(,) (client_name=)%{IPORHOST}(,) (client_address=)%{IPORHOST:postgrey_clientaddr}(,) (sender=)%{EMAILADDRESS:postgrey_sender}(,)
My filter:
if "postgrey" in [program] {
grok {
match => { "message" => "%{POSTGREY}"}
patterns_dir => ["/etc/logstash/patterns"]
overwrite => [ "message" ]
}
}
However, this workaround still does not answer my original question, which is, why did my initial approach not work?
Looking at the Oniguruma Regex documentation and the Grok filters documentation, it's not clear to me what is wrong with my original syntax or how a look-ahead/look-behind should be properly implemented with grok regex named capture. If it is not supported, it should not be documented as such.
Im trying write a grok filter for below logs but getting grokfailure. I'm new to logstash, please help me.
Logs:
msg.repository.routed.ABC_MAS:101::20170526-05:03:08: got from remote host at t-rate <0.068> and f-size <68> into tmp dir
msg.repository.routed.ABC_MAS:101::20170526-05:03:07: got from remote host at t-rate <0.068> and f-size <68> into tmp dir
msg.repository.routed.BCD_MAS:101::20170526-00:04:34: sftp connected to 1.2.2.1(msg), timeOut:1000
msg.repository.routed.ABC_MAS:101::20170526-00:04:37: sftp connected to 1.2.2.1(msg), timeOut:1000
Grok pattern which I used:
filter {
grok {
match => { "message" => '(?: %{GREEDYDATA:pullpathinfo}):%{NUMBER:thread}::%{NUMBER:date}-%{NUMBER:HOUR}:%{NUMBER:MINUTE}:%{NUMBER:SECOND}: (?: sftp connected to %{IPORHOST:remoteip} %{GREEDYDATA:msg})' }
match => { "message" => '(?: %{GREEDYDATA:pullpathinfo}):%{NUMBER:thread}::%{NUMBER:date}-%{NUMBER:HOUR}:%{NUMBER:MINUTE}:%{NUMBER:SECOND}: (?: got \<%{GREEDYDATA:filename}> %{GREEDYDATA:rate_size})' }
}
}
To develop grok patterns I suggest you to use Grok Debugger. It allows you to build up the grok patterns incrementally.
For the follow log (on of the log lines in your question):
msg.repository.routed.ABC_MAS:101::20170526-00:04:37: sftp connected to 1.2.2.1(msg), timeOut:1000
the following grok pattern will work:
%{USERNAME:pullpathinfo}:%{NUMBER:thread}::%{NUMBER:date}-%{TIME:time}: sftp connected to %{IPORHOST:remoteip}%{GREEDYDATA:msg}
The follow changes are relevant:
The grok pattern has to be exact about every character in the pattern. This is also true for every space between the grok patterns (%{WORD} %{WORD} is not the same as %{WORD}%{WORD}. In your pattern there was a space too much between %{IPORHOST:remoteip} and %{GREEDYDATA:msg}.
%{USERNAME} instead of %{GREEDYDATA} (GREEDYDATA should only be used for remaining parts in a log line. Even if the pattern USERNAME has a name, which does not fit, the pattern behind it looks like a good fit, because it includes [a-zA-Z0-9._-]+ (but not the colon :)
%{TIME} instead of `%{NUMBER:HOUR}:%{NUMBER:MINUTE}:%{NUMBER:SECOND}
I hope this helps.
hello I am newer to the logstash. when I am trying to parse the #message field in logstash, that is output from nxlog. can anyone please suggest me how to use regex in grok to parse the below #message field.
"The audit log was cleared.\r\nSubject:\r\n\tSecurity
ID:\tS-1-5-21-1753799626-3523340796-3104826135-1001\r\n\tAccount
Name:\tJhon\r\n\tDomain Name:\tJactrix\r\n\tLogon ID:\t1x12325"
and I am using following grok pattern to parse
match => { "%{#message}" =>
"%{GREEDYDATA:msg}\r\nSubject:%{DATA}\r\n\tSecurity
ID:\t%{USERNAME}\r\n\tAccount Name:%{GREEDYDATA}\r\n\tDomain
Name:\t%{GREEDYDATA}\r\n\tLogon ID:\t%{GREEDYDATA}" }
Thank you
as a starter you could try the following pattern:
%{GREEDYDATA:msg}.*Subject:%{GREEDYDATA:subject}.*Security ID:%{GREEDYDATA:securityId}.*Account Name:%{GREEDYDATA:accountName}Domain Name:%{GREEDYDATA:domainName}Logon ID:%{GREEDYDATA:logonID}
Then try to refine the patterns depending on the structure of your log-files (e.g. accountName might be %{WORD} or ....). You can use http://grokdebug.herokuapp.com/ to test your pattern. A list of predefined patterns is found here: https://github.com/logstash-plugins/logstash-patterns-core/tree/master/patterns