What is the grok pattern for this custom log line? - logstash-grok

21-09-2022 15:37:52.781 INFO - Destination IP:0:0:0:0:0:0:0:1 | Source System IP:0:0:0:0:0:0:0:8 | BrowserName:Edge(Chromium) | BrowserVersion:105 | requestURI:/home | Feature name:RUAMBOT | UserId:rohan | ApiCalled:/ruambot/api/getAllApplicationsByUserID() | ApiStatus:Success | Login Time:21-09-2022 15:37:51

Here is the grok pattern for the mentioned log line:
%{DATESTAMP:timestamp} %{LOGLEVEL:loglevel} \- %{DATA:data}\:%{IP:destination_ip} \| %{DATA:data}\:%{IP:source_ip} \| %{DATA:data}\:%{DATA:browser_name} \| %{DATA:data}\:%{INT:browser_version} \| %{DATA:data}\:%{URIPATH:uri} \| %{DATA:data}\:%{DATA:feature_name}\| %{DATA:data}\:%{USERNAME:userid} \| %{DATA:data}\:%{URIPATH:api_call} \| %{DATA:data}\:%{DATA:api_status} \| %{DATA:data}\:%{DATESTAMP:login_time}
I have used the Grok Debugger to created the grok pattern.
Also, you can make use of the Drop Filter of the logstash to drop the field data generated [see the output screenshot below] after parsing your logs using the above GROK pattern.
Output:

Related

how to handle greedydata to take custom word in a log line while creating grok pattern

01-10-2022 14:05:11.584 INFO - Destination IP:0:0:0:0:0:0:0:1 | Source System IP:0:0:0:0:0:0:0:1 | BrowserName:Chrome | BrowserVersion:105 | requestURI:/dashboard | Feature name:Dashboard | Application:null | SubFeature name:Line Check | UserId:tushar | ApiCalled:/ruambot/api/getGraph() | ApiStatus:Success | Login Time:01-10-2022 13:46:42
how to handle the word sub-feature name in greedy data
with grok filter split message into two parts and then apply kv filter for second part of the message
filter {
grok {
match => ["message", "%{GREEDYDATA:message_part1}\-%{GREEDYDATA:message_part2}"]
}
kv {
source => "message_part2"
field_split => "|"
value_split => ":"
}
}

How to create grok filter for logstash conf

Dear Community Members,
I am new to grok. Following are the log message to which I want to extract fields values like :
Method : createCabinet
Argument : {"comments":....}
Result : <201 Created,Folder ....
Time : 21611 msec
CorrelationId : 00905cda-10a0-4793-8b77-e1dba05dcb2c
Log Message :
16:43:45.159 [http-nio-8183-exec-9] INFO
com.newgen.aspect.LoggingAspect - Method : createCabinet | Argument :
{"comments":"Default cabinet precreated by
system","ownerName":"manoj","usedFor":"general","folderName":"Cabinet80704183","ownerId":"AVlFxAVOoeDBAMtAMzee","folderType":"cabinet"}{"bytes":[49,50,51,52,53],"empty":false}
| Result : <201 Created,Folder [id=5cac7e618dd9854e78007736,
folderName=Cabinet80704183, folderType=cabinet, comments=Default
cabinet precreated by system, parentFolderId=null, ownerName=manoj,
ownerId=AVlFxAVOoeDBAMtAMzee, creationDateTime=Tue Apr 09 16:43:34 IST
2019, revisedDateTime=null, accessDateTime=null, usedFor=general,
version=0, metadataId=null, tenantId=12345],{}> | Time : 21611 msec |
CorrelationId : 00905cda-10a0-4793-8b77-e1dba05dcb2c
I am debugging this on https://grokdebug.herokuapp.com
So far unable to construct the required grok filter for logstash. Appreciate your help on this.
Thanks,
Try this:
%{TIME:timestamp} \[%{NOTSPACE}\] %{NOTSPACE:log_level} %{NOTSPACE:class} \- Method \: %{NOTSPACE:method} \| Argument \: %{GREEDYDATA:argument} \| Result \: %{GREEDYDATA:result} \| Time \: %{NUMBER:time_ms} msec \| CorrelationId \: %{NOTSPACE:correlation_id}
tested on Logstash 6.7

Parsing in Linux

I want to parse the compute zones in open-stack command output as below
+-----------------------+----------------------------------------+
| Name | Status |
+-----------------------+----------------------------------------+
| internal | available |
| |- controller | |
| | |- nova-conductor | enabled :-) 2016-07-07T08:09:57.000000 |
| | |- nova-consoleauth | enabled :-) 2016-07-07T08:10:01.000000 |
| | |- nova-scheduler | enabled :-) 2016-07-07T08:10:00.000000 |
| | |- nova-cert | enabled :-) 2016-07-07T08:10:00.000000 |
| Compute01 | available |
| |- compute01 | |
| | |- nova-compute | enabled :-) 2016-07-07T08:09:53.000000 |
| Compute02 | available |
| |- compute02 | |
| | |- nova-compute | enabled :-) 2016-07-07T08:10:00.000000 |
| nova | not available |
+-----------------------+----------------------------------------+
i want to parse the result as below, taking only nodes having nova-compute
Compute01;Compute02
I used below command:
nova availability-zone-list | awk 'NR>2 {print $2}' | grep -v '|' | tr '\n' ';'
but it returns output like this
;internal;Compute01;Compute02;nova;;
In Perl (and written rather more verbosely than is really necessary):
#!/usr/bin/perl
use strict;
use warnings;
use 5.010;
my $node; # Store current node name
my #compute_nodes; # Store known nova-compute nodes
while (<>) { # Read from STDIN
# If we find the start of line, followed by a pipe, a space and
# a series of word characters...
if (/^\| (\w+)/) {
# Store the series of word characters (i.e. the node name) in $node
$node = $1;
}
# If we find a line that contains "nova-compute", add the current
# node name in #compute_nodes
push #compute_nodes, $node if /nova-compute/;
}
# Print out all of the values in #compute_nodes
say join ';', #compute_nodes;
I detest one-line programs except for the most simple of applications. They are unnecessarily cryptic, they have none of the usual programming support, and they are stored only in the terminal buffer. Want to do the same thing tomorrow? You must start coding again
Here's a Perl solution. Run it as
$ perl nova-compute.pl command-output.txt
use strict;
use warnings 'all';
my ($node, #nodes);
while ( <> ) {
$node = $1 if /^ \| \s* (\w+) /x;
push #nodes, $node if /nova-compute/;
}
print join(';', #nodes), "\n";
output
Compute01;Compute02
Now all of that is saved on disk. It may be run again at any time, modified for similar results, or fixed if you got it wrong. It is also readable. No contest
$ nova availability-zone-list | awk '/^[|] [^|]/{node=$2} node && /nova-compute/ {s=s ";" node} END{print substr(s,2)}'
Compute01;Compute02
How it works:
/^[|] [^|]/{node=$2}
Any time a line begins with | followed by space followed by a character not |, then save the second field as a node name.
node && /nova-compute/ {s=s ";" node}
If node is non-empty and the current line contains nova-compute, then append node to the string s.
END{print substr(s,2)}
After we have read all the lines, print out string s minus its first character which is a superfluous ;.

grok pattern match not working

I have this pattern and I want the grok filter for this:
24 May 2016 23:04:03,003 [] [] [] INFO [listenerContainer-35] com.newworld.mmp.orderlist.NewDataUtil - | 1464048002998 | 201605233157123319 | Account | 67578625
09896 | DHW | 2016-05-23T23:59:56.621Z | 2016-05-24T00:00:02.676Z | STARTED PROCESSING
I wrote the pattern but it is incomplete:
%{MONTHDAY} %{MONTH} 20%{YEAR} %{HOUR}:?%{MINUTE}(?::?%{SECOND}) %{DATA:junk} %{DATA:junk} %{DATA:junk} %{LOGLEVEL:level} %{DATA:junk1} %{JAVACLASS:class}
The %{POSINT:mynewint} or %{NUMBER:mynewint} for the 1464048002998 is not working.
Like %{MONTHDAY} %{MONTH} 20%{YEAR} %{HOUR}:?%{MINUTE}(?::?%{SECOND}) %{DATA:junk} %{DATA:junk} %{DATA:junk} %{LOGLEVEL:level} %{DATA:junk1} %{JAVACLASS:class}- | %{POSINT:mynewint}
I need help on this and the complete grok expression?
Your Log line:
24 May 2016 23:04:03,003 [] [] [] INFO [listenerContainer-35] com.newworld.mmp.orderlist.NewDataUtil - | 1464048002998 | 201605233157123319 | Account | 6757862509896 | DHW | 2016-05-23T23:59:56.621Z | 2016-05-24T00:00:02.676Z | STARTED PROCESSING
SAMPLE GROK PATTERN that matches your log record:
%{MONTHDAY:MonthDay} %{MONTH:Month} %{YEAR:Year} %{TIME:Time} \[] \[] \[] %{LOGLEVEL:LogLevel} %{NOTSPACE:ListenerContainer} %{JAVACLASS:JavaClass} - \| %{NUMBER:Number1} \| %{NUMBER:Number2} \| %{WORD:Account} \| %{NUMBER:Number3} \| %{WORD:DHW} \| %{TIMESTAMP_ISO8601:Timestamp1} \| %{TIMESTAMP_ISO8601:Timestamp2} \| %{JAVALOGMESSAGE:LogMessage}
This will give output fields as follows:
MonthDay = 24
Month = May
Year = 2016
Time = 23:04:03,003
LogLevel = INFO
ListenerContainer = [listenerContainer-35]
JavaClass = com.newworld.mmp.orderlist.NewDataUtil
Number1 = 1464048002998
Number2 = 201605233157123319
Account
Number3 = 6757862509896
DHW
Timestamp1 = 2016-05-23T23:59:56.621Z
Timestamp2 = 2016-05-24T00:00:02.676Z
LogMessage = STARTED PROCESSING
You can try your own grok filters, create parse and test on the following site: http://grokconstructor.appspot.com/do/construction

Multiline in Logstash with timestamp in each line

I have a multiline log written in a file as follows:
INFO | jvm 1 | main | 2014/11/06 13:41:30.112 | ERROR [appHTTP50] [appEmployeeAuthenticationProvider] Can't login with username 'username'
INFO | jvm 1 | main | 2014/11/06 13:41:30.112 | org.framework.security.authentication.BadCredentialsException: Bad credentials
INFO | jvm 1 | main | 2014/11/06 13:41:30.112 | at de.app.platform.security.CoreAuthenticationProvider.authenticate(CoreAuthenticationProvider.java:133)
INFO | jvm 1 | main | 2014/11/06 13:41:30.112 | at ca.canadiantire.security.appEmployeeAuthenticationProvider.authenticate(appEmployeeAuthenticationProvider.java:39)
INFO | jvm 1 | main | 2014/11/06 13:41:30.112 | at org.framework.security.authentication.ProviderManager.authenticate(ProviderManager.java:156)
INFO | jvm 1 | main | 2014/11/06 13:41:30.112 | at org.framework.security.authentication.ProviderManager.authenticate(ProviderManager.java:177)
However, line below is in each line of the trace on the begginning:
INFO | jvm 1 | main | 2014/11/06 13:41:30.112 |
Does anyone know how to leave this line on the beggining near "ERROR" and drop this part of the line in the trace with grok and get full trace as a single message in Logstash? Any other solutions are welcome.
I would think gsub{} is the answer. Either have a conditional stanza that would remove the preface from the subsequent lines, e.g.:
if [message] !~ /\| ERROR / {
mutate {
gsub => [ "message", "^.* \| ", "" ]
}
}
which, if it's "greedy" might leave you with a line like this:
org.framework.security.authentication.BadCredentialsException: Bad credentials
which could then be combined with a subsequent multiline{} filter.
Obviously, you'd need to make both regexps generic enough to handle each log level that you're expecting.

Resources