I have a single log file that contains differing output formats.
For example:
line 1 = 2015-01-1 12:04:56 INFO 192.168.0.1 my_user someone logged in
line 2 = 2015-01-1 12:04:56 WARN [webserver-thread] (MyClass.java:66) user authenticated
Whilst the real solution is to either split them into separate files or unify the formats is it possible to grok differing log formats with Logstash?
My first recommendation is to run one grok{} to strip off the common stuff - the datetime and log level. You can put the remaining stuff back into the [message] field:
%{TIMESTAMP_ISO8601} %{WORD:level} %{GREEDYDATA:message}
Make sure to use the 'overwrite' parameter in grok{}.
Then if you want to parse the remaining information, your (multiple) regexps will be running against a shorter string, which should make them more efficient.
You can then have multiple patterns:
grok {
match => [
"message", "PATTERN1",
"message", "PATTERN2"
]
}
By default, grok will stop processing when it hits the first match.
Related
I am new to Logstash filter and going through different blogs and links to understand in detail. I have few questions which are still unanswered.
. If my log file has different log pattern e.g.
2017-01-30 14:30:58 INFO ThreadName:33 - {"t":1485786658088,"h":"abcd1234", "l":"INFO", "cN":"org.logstash.demo", "mN":"getNextvalue", "m":"fetching next value"}
2017-01-30 14:30:58 INFO AnotherThread:33 -my log pattern is different
I have below filter which is successfully filtering line 1 of the log
grok
{
match => [ "message", "%{TIMESTAMP_ISO8601:LogDate} %{LOGLEVEL:loglevel} %{WORD:threadName}:%{NUMBER:ThreadID} - %{GREEDYDATA:Line}" ]
}
json
{
source => "Line"
}
what will happen with the lines which can not be filtered using filter pattern?
Is there any way to capture all the lines which were not filtered and send to elasticSearch ?
Is there any good reading material where I can read about Input, Filter, Output plugins with the examples ?
To answer your questions:
The lines which cannot be filtered using grok would end up in a
grok_parsefailure. Make sure you handle it by dropping the lines
which don't actually match the filter criteria.
As far as I know you can't capture them separately and push it to ES. Maybe for this, you can have multiple grok patterns so that you can filter it out and send it to different ES indices thereafter.
I've added the links in the comment above.
This SO could come in handy. Hope it helps!
As #darth_vader points out, you'll get a "grok_parsefailure" tag on each document that doesn't match your pattern(s) in a grok{} filter. However, how you handle this failure is up to you.
By default, all the events will fall through to your output{} section, which presumably would send them to elasticsearch. You could also have a conditional output{} section, which sent parsed logs to one output and unparsed logs to another (a file{} output, or a different index, or...).
As for examples, the official doc tends to include incomplete fragments (at best), so you're probably going to find better examples in random internet blogs.
I am a newbie to logstash, I have an input file with fixed length fields and a config file for log stash configured with the regexp as shown below:
Contents of my log stash configuration file first-pipeline.conf
# The # character at the beginning of a line indicates a comment. Use
# comments to describe your configuration.
input {
file {
path => "/Users/priya/sample.log"
start_position => beginning
}
}
filter {
grok {
match => ["message", "(?<RECORD_CODE>.{1})(?<SEQUENCE_NUMBER>.{6})(?<REG_NUMBER>.{12})(?<DATA_TYPE>.{3})"]
}
}
output {
stdout {}
}
Content of my sample.log file:
50000026311000920150044236080000000026
5000003631100092015005423608000000002
5000004631100092015006615054962
The output i get from log stash is:
priyas-MacBook-Pro:bin priya$ ./logstash -f first-pipeline.conf
Default settings used: Filter workers: 2
Logstash startup completed
Could someone please help me debug the issue and get it to working?
Thanks and regards,
Priya
I assume the problem in your case is not the grok expression itself but the way the file input is reading your test file.
The file input remebers where it last read from a logfile and continues reading from that position on subsequent runs (it stores this index in a special file called since_db). start_position => "beginning" only works for the first time you start logstash, on subsequent runs it will start reading from it last ended meaning you won't see any new lines in your console unless you a.) add new lines to your files or b.) manually delete the since_db file (sincedb_path => null is not working under windows, at least when I last tried).
So imho you should first make sure that your grok is working. To do is simply add the stdin input to your input section like this:
input {
stdin {
}
file {
path => "/Users/priya/sample.log"
start_position => beginning
}
}
Now you can manually create logstash events by simply typing in your console and pressing enter. These events will be parsed as regular logstash events and you will see the resulting json in your console as well (that's done by the stdout output fitler).
After you made sure your grok is working you can check wether or not logstash is picking up the file contents as you would expect it to. Restart logstash and add a new line of data to your /Users/priya/sample.log file (don't forget the newcline/CR at the end of the new line otherwise it wount be picked up). If logstash picks up the new line it should appear in your console output (because you added the stdout output filter).
So, say I have an event coming into Logstash as a multiline object (there are many events that all basically match the pattern below):
Starting script at 2015-11-12 15:06 EST
Found result a at 127.0.0.1
Found result b at 127.0.0.1
Found result c at 0.0.0.0
Script ended at 2015-11-12 15:07 EST
How would I go about matching this in such a way as to store each of the "Found ..." lines separately?
My current config file is something like:
filter {
grok {
break_on_match => false
match => {
"message" => [
"Starting script at ${TIMESTAMP_ISO8601:run_time}",
"Found result %{GREEDYDATA:result} at ${IP:result_ip}"
]
}
}
}
As it stands, this only captures one of the "Found result..." lines. (That is, it matches them all, but only stores one of them - there's only one result variable output.) I'd like to individually capture them, and store them as an... well, anything, so long as they're all there.
Is there a way to capture multiple of the same pattern and store all of the resultant capture data distinctly, while keeping the whole multiline event together so that I can tie it to header data such as the script start time?
I think you can use the split filter to achieve what you want. It allows you to split one event into several parts. The indivdual parts are all copies of the original event as far as I remember. You have to play with the terminator parameter which controls when the message is split into parts.
Check out the docs at: https://www.elastic.co/guide/en/logstash/current/plugins-filters-split.html#plugins-filters-split-target
Here is a typical log file generated from log4net
So, this log file is read by the logstash file input plugin.
By default, the delimiter in configuration is \n, which means each line is an event.
But in the log file above, you can see there could be multiple lines for one event. (like ERROR or FAULT or others)
How to configure Logstash to delimit the event correctly?
I suppose I could configure multiple delimiters like \nINFO \nDEBUG \nERROR \nFAULT . But the document says there can only be one delimiter.
The following config should delimit your events properly.
Input config:
input {
file {
path => "/absolute/path/here.log"
type => "log4net"
codec => multiline {
pattern => "^(DEBUG|WARN|ERROR|INFO|FATAL)"
negate => true
what => previous
}
}
}
What you have there is a multiline event. There is a codec that will help you process that.
The basic idea is to define a pattern that identifies the beginning of a log entry (in your case, the log level), and then roll all other lines into the previous one.
I am using Logstash (with Kibana as the UI). I would like to extract some fields from my logs so that I can filter by them on the LHS of the UI.
A sample line from my log looks like this:
2013-07-04 00:27:16.341 -0700 [Comp40_db40_3720_18_25] client_login=C-316fff97-5a19-44f1-9d87-003ae0e36ac9 ip_address=192.168.4.1
In my logstash conf file, I put this:
filter {
grok {
type => "mylog"
pattern => "(?<CLIENT_NAME>Comp\d+_db\d+_\d+_\d+_\d+)"
}
}
Ideally, I would like to extract Comp40_db40_3720_18_25 (the number of digits can vary, but will always be at least 1 in each section separated by _) and client_login (can also be client_logout). Then, I can search for CLIENT_NAME=Comp40... CLIENT_NAME=Comp55, etc.
Am I missing something in my config to make this a field that I can use in Kibana?
Thanks!
If you are having any difficulty getting the pattern to match correctly, using the Grok Debugger is a great solution.
For your given problem you could just separate out your search data into another variable, and save the additional varying digits in another (trash) variable.
For example:
(?<SEARCH_FIELD>Comp\d+)%{GREEDYDATA:trash_variable}]
(Please use the Grok Debugger on the above pattern)