I am new to grok syntax and terms, but by using GrayLog and field extracting I encountered with problem to extract a necessary value in results for my extractor. I need to extract specific fiel from service result.
Service result has such syntax:
{"field1":123, "field2":a, "field3":u1b1}
I need to extract "field2" value as a new field x.
My Grok pattern looks like this:
"field2":%{WORD:X}
As a result I get almoust the result I need, but with additional value:
{
"PatternName": "\"field2\":a",
"X": "a"
}
In Graylog result extraction looks like this:
PatternName
"field2":a
How to get rid of the first row of my pattern ("PatternName": ""field2":a")?
Thank you!
Related
Below is the log message coming to Kibana, but we need to add filters on any one of the segregations below as each one is representing some unique criteria.
Please help me with the GROK pattern for this.in the below format the actual message is after rest keyword
{"#timestamp":"2021-02-19T10:27:42.275+00:00","severity":"INFO","service":"capp","pid":"19592","thread":"SmsListenerContainer-9","class":"c.o.c.backend.impl.SmsServiceImpl","rest":"[SmsListener] [sendSMS] [63289e8d-13c9-4622-b1a1-548346dd9427] [synemail] [ABSENT] [synfi] [0:0:0:0:0:0:0:1] [N/A] [N/A] [End Method]"}
To this kinf of use case, you have this online tool that provide a quick way to test/validate expression.
This expression must match our data line :
^\[%{TIMESTAMP_ISO8601:timestamp}\] \[%{LOGLEVEL:loglevel}\s*\] \[%{DATA:thread}?\] \[%{DATA:class}?\] \[%{DATA:action}?\] \[%{DATA:id}?\] \[%{DATA:field1}?\] \[%{DATA:field2}?\] \[%{DATA:field3}?\]
So in file configuration contexte this looks like this :
filter{
grok {
match => {
"message" => "^\[%{TIMESTAMP_ISO8601:timestamp}\] \[%{LOGLEVEL:loglevel}\s*\] \[%{DATA:thread}?\] \[%{DATA:class}?\] \[%{DATA:action}?\] \[%{DATA:id}?\] \[%{DATA:field1}?\] \[%{DATA:field2}?\] \[%{DATA:field3}?\]"
}
}
}
Below is the log which is being generated from spring application and trying to create custom grok filters
{"#timestamp":"2021-02-19T10:27:42.275+00:00","severity":"INFO","service":"capp","pid":"19592","thread":"SmsListenerContainer-9","class":"c.o.c.backend.impl.SmsBackendServiceImpl","rest":"[SmsListener] [sendSMS] [63289e8d-13c9-4622-b1a1-548346dd9427] [synemail] [ABSENT] [synfi] [0:0:0:0:0:0:0:1] [N/A] [N/A] [End Method]"}
Output expecting after applying the filters is
id => "63289e8d-13c9-4622-b1a1-548346dd9427"
token1 => "synemail"
First, I'd recommend parsing the text as a json to extract the "rest" value into a field. Then, assuming that the "rest" value has always the same structure, and in particular that the id is always within the third [] block and the token always within the fourth [], this grok rule should work for you
\[%{DATA}\] \[%{DATA}\] \[%{DATA:id}\] \[%{DATA:token1}\]
Note that you can always test your grok rules in Kibana, using the Grok debugger: https://www.elastic.co/guide/en/kibana/7.11/xpack-grokdebugger.html
And if you don't want to apply grok to the json directly without preprocessing it, this is the rule:
"rest":"\[%{DATA}\] \[%{DATA}\] \[%{DATA:id}\] \[%{DATA:token1}\]
Update based on the OP comments:
Assuming that the field you're parsing is "message" and that its value is a json as a text with escaped quotes, the full configuration of the Logstash grok filter something like:
grok {
match => { "message" => '\"rest\":\"\[%{DATA}\] \[%{DATA}\] \[%{DATA:id}\] \[%{DATA:token1}\]' }
}
I had created a logstash script to read a logfile which is having various timestamp of format "2018-05-08T12:18:53.506+0530". I am trying to parse it to date using the date filter in log stash
date{
match => ["edrTimestamp","yyyy-MM-dd'T'HH:mm:ss.SSS'Z'","ISO8601"]
target => "edrTimestamp"
}
The running the above logstash script it creates a elastic search index. But still the string is not parsed to date. It is also showing date parsed exception in the index.
It creates output like this.
{
"tags": [
"_dateparsefailure"
],
"statusCode": "805",
"campaignRedemptionLimitTotal": 1000,
"edrTimestamp": "2018-05-22T16:41:25.162+0530 ",
"msisdn": "+919066231327",
"timestamp": "2018-05-22T16:41:25.122+0530",
"redempKeyword": "print1",
"campaignId": "C910101-1527004962-1582",
"category": "RedeemRequestReceived"
}
Please tell me whats wrong in the above code> I had tried many others alternative but still it is not working.
Your issue is that your timestamp has a space at the end of it "edrTimestamp": "2018-05-22T16:41:25.162+0530 ", which is causing the date parsing to fail. You need to add a:
mutate {
strip => "edrTimestamp"
}
before your date filter.
I don't think you should be escaping the Z. So you probably want something like:
yyyy-MM-dd'T'HH:mm:ss,SSS
Also you should not be using "Z" since your time is not Zulu (0 offset). You will want to contain the offset as part of the pattern. The Heroku grok debug app is useful for this.
If I pass your string
2018-05-08T12:18:53.506+0530
and use the filter %{TIMESTAMP_ISO8601} then it matches, this pattern is made up of the following sub-patterns:
TIMESTAMP_ISO8601 %{YEAR}-%{MONTHNUM}-%{MONTHDAY}[T ]%{HOUR}:?%{MINUTE}(?::?%{SECOND})?%{ISO8601_TIMEZONE}?
I am trying to filter my logs matching few patterns I have. e.g:
E/vincinity/dholland_view_sql_global/IN/Cluster_Node/SSL-CACHE/Dsal1
F/vincinity/dholland_view_sql_local/IN/Cluster_Node3/SSL-CACHE/Dsal4
R/vincinity/dholland_view_sql_bran/IN/Cluster_Node/Sample/vr1.log
Now I want to grep these 3 paths from a bunch of logs: basically the pattern that I want to extract is logs containing "vincinity" "sql" and "IN" so with regex it would be simply *vincinity*sql*IN*
I tried this grok filter:
grok {
match => { "Vinc" => "%{URIPATHPARAM:*vincinity*sql*IN*}" }
}
Then I get _grokparsefailure in kibana - I'm brand new to grok, so perhaps I'm not approaching this correctly.
From the grok filter documentation
The syntax for a grok pattern is %{SYNTAX:SEMANTIC}
The way the grok filter should work is
grok {
match => {
"message" => "%{PATTERN:named_capture}"
}
}
Where message is the field that you want to parse, this is the default field that most inputs place your unparsed loglines in.
The URIPATHPARAM pattern is one predefined in logstash through a regex language called Onigurama. It may match your whole log message, but it will not capture certain chunks of it for you.
For help constructing a grok pattern, check out the docs, they link to a couple useful pattern construction tools.
The correct format for using a custom pattern in your grok block is:
(?<field_name>the pattern here)
or you can define your own custom pattern (using regular expression) in seperate file (my-pattern.txt) like this :
MYPATH_MUST_BE_UPPERCASE Regex_Pattern
save it in ./patterns directory and then use it this way:
grok {
patterns_dir => "./patterns"
match => ["message" , "%{MYPATH_MUST_BE_UPPERCAS:path}"]
}
in your case :
(?<vincinity>(?>/\s*.*?vincinity.*?\s*)+)
(?<sql>(?>/\s*.*?sql.*?/\s*)+)
(?<in>(?>\s*.*?(IN).*?\s*)+)
I am trying to extract the CPU usage and timestamp from the message:
2015-04-27T11:54:45.036Z| vmx| HIST ide1 IRQ 4414 42902 [ 250 - 375 ) count: 2 (0.00%) min/avg/max: 250/278.50/307
I am using logstash and here is my logstash.config file:
input {
file {
path => "/home/xyz/Downloads/vmware.log"
start_position => beginning
}
}
filter {
grok{
match => ["message", "%{#timestamp}"]
}
}
output{
stdout {
codec => rubydebug
}
}
But its giving me grok parse error, Any help would really be appreciated. Thanks.
As per the message from Magnus, you're using the grok match function incorrectly, #timestamp is the name of a system field that logstash uses as the timestamp the message was recieved at, not the name of a grok pattern.
First I recommend you have a look at some of the default grok patterns you can use which can be found here, then I also recommend you use the grok debugger finally, if all else fails, get yourself in the #logstash irc channel (on freenode), we're pretty active in there, so I'm sure someone will help you out.
Just to help you out a bit further, this is a quick grok pattern I have created which should match your example (I only used the grok debugger to test this, so results in production might not be perfect - so test it!)
filter {
grok {
match => [ "message", "%{TIMESTAMP_ISO8601}\|\ %{WORD}\|\ %{GREEDYDATA}\ min/avg/max:\ %{NUMBER:minimum}/%{NUMBER:average}/%{NUMBER:maximum}" ]
}
}
To explain slightly, %{TIMESTAMP_ISO8601} is a default grok pattern which matches the timestamp in your example.
You will notice the use of \ quite a lot, as the characters following this need to be escaped (because we're using a regex engine and spaces, pipes etc have a meaning, by escaping them we disable that meaning and use them literally).
I have used the %{GREEDYDATA} pattern as this will capture anything, this can be useful when you just want to capture the rest of the message, if you put it at the end of the grok pattern it will capture all remaining text.
I have then taken a bit from your example (min/avg/max) to stop the GREEDYDATA from capturing the rest of the message, as we want the data after that.
%{NUMBER} will capture numbers, obviously, but the bit after the : inside the curly braces defines the name that field will be given by logstash and subsequently saved in elasticsearch.
I hope that helps!