I have Logstash reading in a CSV file, which contains a field my_id, and is an 8-digit string made up of numbers.
I'd like the output file to have 2 fields in place of my_id. One named id_start which will be the first 6 digits and id_end which will be the last 2 digits.
example: my_id: 12345678 would become id_start: 123456 and id_end: 78
I'm very new to Logstash but I've been reading around and I think I need to use a grok filter to do this - my attempt to create the first field so far has not worked:
filter {
grok {
match => ["id_start", "(?<my_id>.{6})"]
}
}
I'm also finding it quite hard to find good examples on this sort of thing, so any help would be appreciated!
You can use ruby filter and write custom ruby code like:
filter {
ruby {
code => "
event['id_start'] = event['my_id'][0..6]
event['id_end'] = event['my_id'][6..8]
"
}
}
This is different for Logstash 5.x+, they have implemented getters and setters and restricted access to the variables.
ruby {
code => "
event.set('[id_start]', event.get('[my_id]')[0..6])
event.set('[id_end]', event.get('[my_id]')[6..8])
"
}
Related
I have a Logstash filter set which sets a field Alert_level to an integer based on regex matching the message.
Example:
if [message] =~ /(?i)foo/ {mutate {add_field => { "Alert_level" => "3" }}}
if [message] =~ /(?i)bar/ {mutate {add_field => { "Alert_level" => "2" }}}
These cases are not mutually exclusive and will sometimes result in events with 2 or more values in Alert_level:
message => "foobar"
Alert_level => "2, 3"
I want to add up the values in Alert_level to a total integer, where the above example would result in this:
message => "foobar"
Alert_level => "5"
There is no math in logstash itself, but I like darth_vader's tag idea (if your levels are only hit once each).
You could set a tag for the alert levels, e.g. "alert_3", "alert_4", etc., and then drop into the ruby filter to loop across them, split out the numeric value, and add them together into a new field. (Using a sentinel prefix like "alert_" will prevent you from trying to add a "_grokparsefailure" or other non-alert tag).
There are other examples on SO for looping across fields in ruby.
As I understood your question, you need the AND operator within your if to check both the conditions:
if "foobar" in [message] and "5" in [Alert_level]{
//do something
}
setting up ELK is very easy until you hit the logstash filter. I have a log delimited 10 fields. I may have some field blank but I am sure there will be 10 fields:
7/5/2015 10:10:18 AM|KDCVISH01|
|ClassNameUnavailable:MethodNameUnavailable|CustomerView|xwz261|ef315792-5c41-4bdf-aa66-73317e82e4d6|52|6182d1a1-7916-4874-995b-bc9a23437dab|<Exception>
afkh akla 487234 &*<Exception>
Q:
1- I am confused how grok or regex pattern will pick only the field that I am looking and not the similar match from another field. For example, what is the guarantee that DATESTAMP pattern picks only the first value and not the timestamp present in the last field (buried in stack trace)?
2- Is there a way to define positional mapping? For example, 1st fiels is dateTime, 2nd is machine name, 3rd is class name and so on. This will make sure I have fields displayed in Kibana no matter the field value is present or not.
I know i am little late, But here is a simple solution which i am using,
replace your | with space
option 1:
filter {
mutate {
gsub => ["message","\|"," "]
}
grok {
match => ["message","%{DATESTAMP:time} %{WORD:MESSAGE1} %{WORD:EXCEPTION} %{WORD:MESSAGE2}"]
}
}
option 2: excepting |
filter {
grok {
match => ["message","%{DATESTAMP:time}\|%{WORD:MESSAGE1}\|%{WORD:EXCEPTION}\|%{WORD:MESSAGE2}"]
}
}
it is working fine : http://grokdebug.herokuapp.com/. check here.
I have a log file which contains lines which begin with a timestamp. An uncertain number of extra lines might follow each such timestamped line:
SOMETIMESTAMP some data
extra line 1 2
extra line 3 4
The extra lines would provide supplementary information for the timestamped line. I want to extract the 1, 2, 3, and 4 and save them as variables. I can parse the extra lines into variables if I know how many of them there are. For example, if I know there are two extra lines, the grok filter below will work. But what should I do if I don't know, in advance, how many extra lines will exist? Is there some way to parse these lines one-by-one, before applying the multiline filter? That might help.
Also, even if I know I will only have 2 extra lines, is the filter below the best way to access them?
filter {
multiline {
pattern => "^%{SOMETIMESTAMP}"
negate => "true"
what => "previous"
}
if "multiline" in [tags] {
grok {
match => { "message" => "(?m)^%{SOMETIMESTAMP} %{DATA:firstline}(?<newline>[\r\n]+)%{DATA:secondline}(?<newline>[\r\n]+)%{DATA:thirdline}$" }
}
}
# After this would be grok filters to process the contents of
# 'firstline', 'secondline', and 'thirdline'. I would then remove
# these three temporary fields from the final output.
}
(I separated the lines into separate variables since this allows me to do additional pattern matching on the contents of the lines separately, without having to refer to the entire pattern all over again. For example, based on the contents of the first line, I might want to present branching behavior for the other lines.)
Why do you need this?
Are you going to be inserting one single event with all of the values or are they really separate events that just need to share the same time stamp?
If they all need to appear in the same event, you'll like need to resort to a ruby filter to separate out the extra lines into fields on the event that you can then further work on.
For example:
if "multiline" in [tags] {
grok {
match => { "message" => "(?m)^%{SOMETIMESTAMP} %{DATA:firstline}(?<newline>[\r\n]+)" }
}
ruby {
code => '
event["lines"] = event["message"].scan(/[^\r\n]+[\r\n]*/);
'
}
}
If they are really separate events, you could use the memorize plugin for logstash 1.5 and later.
This has changed over versions of ELK
Direct event field references (i.e. event['field']) have been disabled in favor of using event get and set methods (e.g. event.get('field')).
filter {
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:logtime} %{LOGLEVEL:level}%{DATA:firstline}" }
}
ruby { code => "event.set('message', event.get('message').scan(/[^\r\n]+[\r\n]*/))" }
}
I am parsing a csv file in logstash which contains network traffic statistics. These statistics report the ip address in decimal format. I'd like to store them in logstash in dotted-quad (human readable) format. Is there a way to do this via mutate?
You should be able to do this with a ruby filter like this:
filter {
ruby {
code => 'event["ip_as_dotted_quad"] = [event["your_field_here"].to_i].pack("N").unpack("C4").join(".")'
}
}
You'll just need to fill in your_field_here. If you already converted the field to an integer, you can leave out the .to_i.
(credit where credit is due -- I found the ip address snippet at the bottom of this page: http://basic70tech.wordpress.com/2007/04/13/32-bit-ip-address-to-dotted-notation-in-ruby/ but adapted it to use here.)
In Logstash 7.9.x this is what works:
filter {
ruby { code => '
input = event.get("your_field_here").to_i;
result = IPAddr.new(input, Socket::AF_INET).to_s;
event.set("ip_as_dotted_quad", result);
'
}
}
Thanks to #Aaron Nimocks for this code.
So the format of my logs looks somethings like this
02:00:30> First line of log for date of 2014-08-13
...
04:03:30> Every other line of log
My question is: how can I save the date from the first line to create the timestamp for the other lines in the files?
Is there a way to set some kind of "global" field that I can reuse for other lines?
I'm looking at historical logs so the current time isn't much use.
I posted a memorize filter that you could use to do that. It was posted here.
You'd use it like this:
filter {
if [message] =~ /date of/ {
grok {
match => [ "message", "date of (?<date>\d\d\d\d-\d\d-\d\d)" ]
}
} else {
// parse your log with grok or some other method that doesn't capture date
}
memorize {
field => date
}
}
So on the first line, because you extract a date, it'll memorize it... since it's not on the remaining lines, it'll add the memorized date to the events.