I wanted to extract the below enclosed in the "" pattern from the log message using grok pattern. Could anybody help in providing the grok pattern?
"2015/02/24 13:44:39" - Shell - (stdout) 2015/02/24 13:44:39 - "DIF_MainJob" - "Start of job execution"
"2015/02/25 13:01:39" - "SR_Incremental_Load" - "Start of job execution"
You can break this in two steps, first match complete logs line and second remove unwanted part.
I tested on my local elk setup, use below configuration, may helpful to you.
filter{
grok {
match => { "message" => "\"%{DATA:my_date}\" - %{DATA:dropword} - \"%{DATA:phrase_1}\" - \"%{DATA:phrase_2}\"" }
}
mutate {
remove_field => ["dropword"]
}
}
Attaching screenshot from my Kibana
Related
I'm trying to add a custom pattern to Logstash in order to capture data from this kind of log line:
[2017-11-27 12:08:22] production.INFO: {"upload duration":0.16923}
I followed the instructions on Logstash guide for grok and created a directory called patterns with a file in it called extra that contain:
POSTFIX_UPLOAD_DURATION upload duration
and added the path to the config file:
grok {
patterns_dir => ["./patterns"]
match => { "message" => "\[%{TIMESTAMP_ISO8601:timestamp}\] %{POSTFIX_UPLOAD_DURATION: upload_duration} %{DATA:log_env}\.%{LOGLEVEL:severity}: %{GREEDYDATA:log_message}" }
}
However, I'm getting this error message:
Pipeline aborted due to error {:exception=>#<Grok::PatternError: pattern %{POSTFIX_UPLOAD_DURATION: upload_duration} not defined>
Also, some log lines don't contain the 'upload duration' field, will this break the pipeline?
You are able to use relative directories, as long as they are relative to the current working directory of where the process starts, not relative to the conf file or to Logstash itself.
I found out that there is better and more efficint way to capture data using the json plugin.
I've add "log_payload:" in my logs and insert the data I need to capture in a json object.
Then I've used this pipeline to capture it.
if ("log_payload:" in [log_message]) {
grok{
match => {"log_message" => 'log_payload:%{DATA:json_object}}%{GREEDYDATA}'}
}
mutate{
update => ["json_object", "%{[json_object]}}"]
}
json {
source => "json_object"
}
}
mutate {
remove_field => ["log_message", "json_object"]
}
}
In my application I have log fromat as follows-
logFormat: '%-5level [%date{yyyy-MM-dd HH:mm:ss,SSS}] [%X{appReqId}] [%X{AppUserId}] %logger{15}: %m%n'
and the output of that format is like
INFO [2017-02-03 11:09:21.792372] [b9c0d838-10b3-4495-9915-e64705f02176] [ffe00000000000003ebabeca] r.c.c.f.r.MimeTypeResolver: [Tika MimeType Detection]: filename: 'N/A', detected mime-type: 'application/msword', time taken: 2 ms
Now I want each field of the log to be queryable at kibana and for that i want logstash to parse the input log message and it seems grok filter is there to help us.If grok filter is able to filter my message properly output should be like
"message" => "INFO [2017-02-03 11:09:21.792372] [b9c0d838-10b3-4495-9915-e64705f02176] [ffe00000000000003ebabeca] r.c.c.f.r.MimeTypeResolver: [Tika MimeType Detection]: filename: 'N/A', detected mime-type: 'application/msword', time taken: 2 ms",
"appReqId" => "b9c0d838-10b3-4495-9915-e64705f02176",
"timestamp" => "2017-02-03 11:09:21.792372",
"AppUserId" => "ffe00000000000003ebabeca",
"logger" => "r.c.c.f.r.MimeTypeResolver",
I am not able to figure it out how shall i configure at logstash.conf file so that i get the desired output.
I tried like following
filter {
grok {
match => { "message" => "%{LOGLEVEL:severity}* %{YEAR:year}-%{MONTHNUM:month}-%{MONTHDAY:day} %{TIME:time} %{JAVACLASS:class}\.%{JAVAFILE:file}" }
}
}
and verified at grok patter varifier and it does not work.Any kind of help would be appreciated.
You may find something like this works better:
^%{LOGLEVEL:security}%{SPACE}\[%{TIMESTAMP_ISO8601:timestamp}\]%{SPACE}\[%{DATA:appReqId}\]%{SPACE}\[%{DATA:AppUserId}\]%{SPACE}%{HOSTNAME:logger}:%{DATA:app_message}$
The insights here are:
Use %{SPACE} to handle one-or-more space instances, which can happen in some log formats. The * in your syntax can do that too, but this puts it more explicitly in the grok expression.
Use a dedicated timestamp format, %{TIMESTAMP_ISO8601} rather than attempt to break it apart and assemble later. This allows use of a date { match => [ "timestamp", ISO8601 ] } filter-block later to turn it into a real timestamp that will be useful in Kibana.
Capture the bracketed attributes directly in the grok expression.
Anchor the grok expression (the ^ and $ characters) to provide hints to the regex engine to make the expression less expensive to process.
So I wrote now several patterns for logs which are working. The thing is now, that I have these multiple logs, with multiple patterns, in one single file. How does logstash know what kind of pattern it has to use for which line in the log? ( I am using grok for my filtering ) And if you guys would be super kind, could you give me the link to the docs, because I weren't able to find anything regarding this :/
You could use multiple patterns for your grok filter,
grok {
match => ["fieldname", "pattern1", "pattern2", ..., "patternN"]
}
and they will be applied in order but a) it's not the best option performance-wise and b) you probably want to treat different types of logs differently anyway, so I suggest you use conditionals based on the type or tags of a message:
if [type] == "syslog" {
grok {
match => ["message", "your syslog pattern"]
}
}
Set the type in the input plugin.
The documentation for the currently released version of Logstash is at http://logstash.net/docs/1.4.2/. It probably doesn't address your question specifically but it can be inferred.
Write the most specific grok first and use this syntax:
grok {
match => {
"message" => [
#Most specific grok:
"%{TIMESTAMP_ISO8601:temp_date}%{SPACE}%{LOGLEVEL:log_level}%{UUID:user_id}",
#Less specific:
"%{TIMESTAMP_ISO8601:temp_date}%{SPACE}%{GREEDYDATA:log_message}"
]
}
}
I'm having issues understanding how to do this correctly.
I have the following Logstash config:
input {
lumberjack {
port => 5000
host => "127.0.0.1"
ssl_certificate => "/etc/ssl/star_server_com.crt"
ssl_key => "/etc/ssl/server.key"
type => "somelogs"
}
}
output {
elasticsearch {
protocol => "http"
host => "es01.server.com"
}
}
With logstash-forwarder, I'm pushing my haproxy.log file generated by syslog to logstash. Kibana then shows me a _source which looks like this:
{"message":"Dec 8 11:32:20 localhost haproxy[5543]: 217.116.219.53:47746 [08/Dec/2014:11:32:20.938] es_proxy es_proxy/es02.server.com 0/0/1/18/20 200 305 - - ---- 1/1/1/0/0 0/0 \"GET /_cluster/health HTTP/1.1\"","#version":"1","#timestamp":"2014-12-08T11:32:21.603Z","type":"syslog","file":"/var/log/haproxy.log","host":"haproxy.server.com","offset":"4728006"}
Now, this has to be filtered (somehow) and I have to admit I haven't got the slightest idea how.
Looking at the grok documentation and fiddling with the grok debugger I still haven't got anything useful out of Logstash and Kibana.
I've been scanning the patterns directory and their files, and I can't say I understand how to use them. I was hoping that providing a filter with a haproxy pattern Logstash would match the pattern from my _source but that was without any luck.
You're in luck since there already is a predefined grok pattern that appears to parse this exact type of log. All you have to do is refer to it in a grok filter:
filter {
grok {
match => ["message", "%{HAPROXYHTTP}"]
}
}
%{HAPROXYHTTP} will be recursively expanded according to the pattern definition and each interesting piece in every line of input will be extracted to its own field. You may also want to remove the 'message' field after a successful application of the grok filter since it contains redundant data anyway; just add remove_field => ["message"] to the grok filter declaration.
My log file has a single line (taken from the tutorial log file):
55.3.244.1 GET /index.html 15824 0.043
My conf file looks something like this:
input {
file {
path => "../http.log"
type => "http"
}
}
filter {
grok {
type => "http"
match => [ "message", "%{IP:client}" ]
}
}
I tested my grok filter with the grok debugger and it worked. I'm at a loss of what I am doing wrong. I get a [0] "_grokparsefailure" every time
As far as debugging a grok filter goes, you can use this link (http://grokdebug.herokuapp.com/) It has a very comprehensive pattern detector which is a good start.
If you only care about the IP and not the remainig part of the log message, following filter should work for you.
%{IP:host} %{GREEDYDATA:remaining_data}
The best method to debug is use, stdin and stdout plugins for logstash and debug your grok patterns.
You can find the documentation here http://logstash.net/docs/1.4.2/