Logstash: Reading multiline data from optional lines - logstash

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]*/))" }
}

Related

Logstash difference between add_field and replace

What is the difference between add_field and replace, when configuring Logstash?
Semantically, they might expected to do different things, but the current manual does not have anything to say about how the two functions differ depending on the pre-existance of the relevant fields.
Example 1:
filter {
mutate {
add_field => { "foo_%{somefield}" => "Hello world, from %{host}" }
}
}
The manual does not say what the expected behavour is if the field already exists. Is the behaviour the same as replace?
Example 2:
filter {
mutate {
replace => { "message" => "%{source_host}: My new message" }
}
}
Once again the manual does not say what the expected behaviour is if the field does not already exist. Is it the same as add_field?
Semantically, they might seem equivalent but they are different as add_field might not always kick in.
replace is part of the mutate filter and if you're looking at the source code of that plugin, you'll see that replace will always set a field even if it doesn't exist:
def replace(event)
#replace.each do |field, newvalue|
event.set(field, event.sprintf(newvalue))
end
end
add_field, however, is a generic configuration of any input and filter plugins and you'll often see in the documentation of some specific filter plugins something like this (e.g. for the grok filter):
If this filter is successful, add any arbitrary fields to this event. [...]
This configuration is inherited from LogStash::Filters::Base, which is the superclass of all filter plugins. This means that in certain filter plugins, in order for add_field to actually add the field, the filter must be successful, otherwise no fields is added.
So in your case, mutate/replace will always set a field even if it doesn't exist, and mutate/add_field will add the specified fields after running all the operations of the mutate filter.
So if you have a mutate filter that does some specific operation like gsub and fails for some reason, no fields will be added as a result.

Logstash - Split characters in string into 2 fields

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])
"
}

How to define grok pattern for pipe delimited log message?

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.

Different structure in a few lines in my log file

My log file contains different structures in a few lines, and I can not grok it, I don't know if we can test by lines or attribute, I'm still a beginner.
if you don't understand me I can give you some examples :
input :
id=firewall action=bloc type=web
id=firewall fw="ER" type=filter
id=firewall fw="Az" tz="loo" action=bloc
Pattern:
id=%{WORD:id} ...
I thought to add some patterns between ()?,
but i don't know exactly how to do it.
you can use this site to test it http://grokdebug.herokuapp.com/
Any help please? What should i do :(
Logstash supports key-value Values, take a look at http://logstash.net/docs/1.4.2/filters/kv.
Or you could use multiple match values:
grok {
patterns_dir => "./patterns"
match => [
"message", "%{BASE_PATTERN} %{EXTRA_PATTERN}",
"message", "%{BASE_PATTERN}",
"message", "%{SOME_OTHER_PATTERN}"
]
}
Not sure if I understood well your question but I will try to answer. I think the first thing you have to do is to parse the different fields from your input. Example of pattern to parse your first line input :
PATTERN %{NOTSPACE} %{NOTSPACE} %{NOTSPACE} (in $LOGSTASH_HOME/pattern/extra)
Then in your logstash configuration file :
filter {
grok {
patterns_dir => "$LOGSTASH_HOME/pattern"
match => [ "message" => "%{PATTERN}" ]
}
}
This will match your first line as 3 fields ("id=firewall" "action=bloc" "type=web") (you have to adapt it if you have more than 3 fields).
And the last thing you seem be looking for is splitting field (in key-value scheme) like id=firewall would become id => "firewall". This can be done with the kv plugin. I never used it but I recommend you the logstash docs here
If I did not understand you question, please be more clear.

Logstash: How to save an entry from earlier in a log for use across multiple lines later in the log?

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.

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