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
Related
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 => ":"
}
}
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:
I'm running Cilium inside an Azure Kubernetes Cluster and want to parse the cilium log messages in the Azure Log Analytics. The log messages have a format like
key1=value1 key2=value2 key3="if the value contains spaces, it's wrapped in quotation marks"
For example:
level=info msg="Identity of endpoint changed" containerID=a4566a3e5f datapathPolicyRevision=0
I couldn't find a matching parse_xxx method in the docs (e.g. https://learn.microsoft.com/en-us/azure/data-explorer/kusto/query/parsecsvfunction ). Is there a possibility to write a custom function to parse this kind of log messages?
Not a fun format to parse... But this should work:
let LogLine = "level=info msg=\"Identity of endpoint changed\" containerID=a4566a3e5f datapathPolicyRevision=0";
print LogLine
| extend KeyValuePairs = array_concat(
extract_all("([a-zA-Z_]+)=([a-zA-Z0-9_]+)", LogLine),
extract_all("([a-zA-Z_]+)=\"([a-zA-Z0-9_ ]+)\"", LogLine))
| mv-apply KeyValuePairs on
(
extend p = pack(tostring(KeyValuePairs[0]), tostring(KeyValuePairs[1]))
| summarize dict=make_bag(p)
)
The output will be:
| print_0 | dict |
|--------------------|-----------------------------------------|
| level=info msg=... | { |
| | "level": "info", |
| | "containerID": "a4566a3e5f", |
| | "datapathPolicyRevision": "0", |
| | "msg": "Identity of endpoint changed" |
| | } |
|--------------------|-----------------------------------------|
With the help of Slavik N, I came with a query that works for me:
let containerIds = KubePodInventory
| where Namespace startswith "cilium"
| distinct ContainerID
| summarize make_set(ContainerID);
ContainerLog
| where ContainerID in (containerIds)
| extend KeyValuePairs = array_concat(
extract_all("([a-zA-Z0-9_-]+)=([^ \"]+)", LogEntry),
extract_all("([a-zA-Z0-9_]+)=\"([^\"]+)\"", LogEntry))
| mv-apply KeyValuePairs on
(
extend p = pack(tostring(KeyValuePairs[0]), tostring(KeyValuePairs[1]))
| summarize JSONKeyValuePairs=parse_json(make_bag(p))
)
| project TimeGenerated, Level=JSONKeyValuePairs.level, Message=JSONKeyValuePairs.msg, PodName=JSONKeyValuePairs.k8sPodName, Reason=JSONKeyValuePairs.reason, Controller=JSONKeyValuePairs.controller, ContainerID=JSONKeyValuePairs.containerID, Labels=JSONKeyValuePairs.labels, Raw=LogEntry
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
I want to parse strings like "TOM*", "TOM" , "*TOM" , "TOM", "*" and all these without quotes. I created 2 rules name_with_quotes & name without quotes, but string with quotes are giving expected token: <EOF> error
I have following tokens in lexer.g4 file
ID : [a-zA-Z0-9-_]+ ;
WILDCARD_STARTS_WITH_STRING: ID'*';
WILDCARD_ENDS_WITH_STRING: '*'ID;
WILDCARD_CONTAINS_STRING : '*'ID'*' ;
STRING : ('"' | '\'') ( ( (~('"' | '\\' | '\r' | '\n') | '\\'('"' ) )*) | ) ('"' | '\'');
QUOTED_ID : ('"' | '\'') (((STAR)? ID (STAR)?) | ID | STAR) ('"' | '\'');
I have following rules in my parser file:
name_without_quotes : ID | WILDCARD_STARTS_WITH_STRING | WILDCARD_ENDS_WITH_STRING | WILDCARD_CONTAINS_STRING | STAR ;
name_with_quotes : QUOTED_ID;
name : name_with_quotes | name_without_quotes;
I also tried using following rules.
WITHOUT_QUOTES : '"' (ID | ID'*' | '*'ID | '*'ID'*' ) '"';
WITH_QUOTES : ID | WILDCARD_STARTS_WITH_STRING | WILDCARD_ENDS_WITH_STRING | WILDCARD_CONTAINS_STRING | STAR ;
But no luck. Any clue what I could be doing wrong?
Many Thanks.
Found solution here.
http://www.antlr3.org/pipermail/antlr-interest/2012-March/044273.html.
Just changed the order and it worked.