I have a log pattern and filter, please suggest for a match pattern
filter {
grok {
match => {"message" => "please suggest me a filter"}
add_field => [ "received_at", "%{#timestamp}" ]
add_field => [ "received_from", "%{host}" ]
}
}
2019-03-25 19:30:47 [ERROR] demo.efdms.controller.HomeController - [ip]:172.16.16.1[DeviceInfo]: [message]:Device is not added to inventory
This is one way to do it.
^%{TIMESTAMP_ISO8601:timestamp}\s*\[%{LOGLEVEL:loglevel}\]\s*%{IPORHOST:host}\s*-\s*\[ip\]:%{IPORHOST:ip}\[DeviceInfo\]:\s*\[message\]:%{GREEDYDATA:message}$
I don't think you need the "add_field", as you already have that info in other fields.
Related
I use filebeat to fetch log files into my logstash and then filter unnecessary fields. Everything works fine and I output these into elasticsearch but there is a field which I use for elasticsearch index name, I define this variable in my grok match but I couldn't find a way to remove that variable once it serves its purpose. I'll share my logstash config below
input {
beats {
port => "5044"
}
}
filter {
grok {
match => { "[log][file][path]" => ".*(\\|\/)(?<myIndex>.*)(\\|\/).*.*(\\|\/).*(\\|\/).*(\\|\/).*(\\|\/)" }
}
json {
source => message
}
mutate {
remove_field => ["agent"]
remove_field => ["input"]
remove_field => ["#metadata"]
remove_field => ["log"]
remove_field => ["tags"]
remove_field => ["host"]
remove_field => ["#version"]
remove_field => ["message"]
remove_field => ["event"]
remove_field => ["ecs"]
}
date {
match => ["t","yyyy-MM-dd HH:mm:ss.SSS"]
remove_field => ["t"]
}
mutate {
rename => ["l","log_level"]
rename => ["mt","msg_template"]
rename => ["p","log_props"]
}
}
output {
elasticsearch {
hosts => [ "localhost:9222" ]
index => "%{myIndex}"
}
stdout { codec => rubydebug { metadata => true } }
}
I just want to remove the "myIndex" field from my index. With this config file, I see this field in elasticsearch if possible I want to remove it. I've tried to remove it with other fields altogether but it gave an error. I guess it's because I removed it before logstash could give it to elasticsearch.
Create the field under [#metadata]. Those fields are available to use in logstash but are ignored by outputs unless they use a rubydebug codec.
Adjust your grok filter
match => { "[log][file][path]" => ".*(\\|\/)(?<[#metadata][myIndex]>.*)(\\|\/).*.*(\\|\/).*(\\|\/).*(\\|\/).*(\\|\/)" }
Delete [#metadata] from the mutate+remove_field and change the output configuration to have
index => "%{[#metadata][myIndex]}"
I have a logstash configuration that has as filter like this:
filter {
grok {
match => { "message" => "%{GREEDYDATA:inputs}"}
}
json {
source => "inputs"
target => "parsedJson"
remove_field => ["inputs"]
}
mutate {
add_field => {
"serviceName" => "%{[parsedJson][serviceName]}"
"thread_name" => "%{[parsedJson][thread_name]}"
}
}
}
It is working and I am getting field/variables names such as serviceName and thread_name in Elastic/Kibana. However, I am also getting some unwanted additional things, which I believe are due to the mutate:
unwanted grok output
as you can see, there are additional "parsedJson.[field_name]" fields that are repeated. I've played with the json and mutate portion, but I can't seem to figure this out. Any help appreciated, Thanks.
Use remove_field in mutate filter.
mutate {
remove_field => [ "[parsedJson][message]", "[parsedJson][serviceName]", "[parsedJson][thread_name]" ]
}
I have grok filter for apache logs as follows :
if [type] == "apachelogs" {
grok {
break_on_match => false
match => { "message" => "\[%{HTTPDATE:apachetime}\]%{SPACE}%{NOTSPACE:verb}%{SPACE}/%{NOTSPACE:ApacheRequested}" }
match=> { "message" => "\*\*%{NUMBER:seconds}/%{NUMBER:microseconds}" }
add_tag => "%{apachetime}"
add_tag => "%{verb}"
add_tag => "%{ApacheRequested}"
add_tag => "%{seconds}"
add_tag => "%{microseconds}"
I want to create a visualisation in kibana for search type="apachelogs". O am using filebeat.So my search query is
filebeat*type="apachelogs"
I want apachetime in X-axis and microseconds in Y-axis.But in Y
-axis, I am not getting any fields except default ones (sum,count,aggregation).
Please help.I dont know what I am doing wrong.
I have come encountered some issues on configuring Logstash.
I have used filebeats to forward logs and it went well for the first time. But when I close and repoen the termainal to configure logstash and filebeats. An error comes even Kibana UI shows that log files are still sent and read:
Settings: Default pipeline workers: 8
Beats inputs: Starting input listener {:address=>"0.0.0.0:5044", :level=>:info}
The error reported is:
Address already in use - bind - Address already in use
Here is the config file
input {
beats {
port => 5044
type => "logs"
ssl => true
ssl_certificate => "/etc/pki/tls/certs/filebeat.crt"
ssl_key => "/etc/pki/tls/private/filebeat.key"
}
}
filter{
if [type] == "syslog" {
grok {
match => { "message" => "%{SYSLOGTIMESTAMP:syslog_timestamp} %{SYSLOGHOST:syslog_hostname} %{DATA:syslog_program}(?:\[%{POSINT:syslog_pid}\])?: %{GREEDYDATA:syslog_message}" }
add_field => [ "received_at", "%{#timestamp}" ]
add_field => [ "received_from", "%{host}" ]
}
syslog_pri { }
date {
match => [ "syslog_timestamp", "MMM d HH:mm:ss", "MMM dd HH:mm:ss" ]
}
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
}
stdout { codec => rubydebug }
}
I have no idea what's going on. Would anyone could please tell me. Thanks
In my log files, I have data that represents a the hierarchy of items, much like an http log file might show the hierarchy of a website.
I may have data such as this
41 2016-01-01 01:41:32-500 show:category:all
41 2016-01-01 04:11:20-500 show:category:animals
42 2016-01-02 01:41:32-500 show:item:wallaby
42 2016-01-02 01:41:32-500 show:home
and I would have 3 items in here... %{NUMBER:terminal} %{TIMESTAMP_ISO8601:ts} and (?<info>([^\r])*)
I parse the info data into an array using mutate and split to convert lvl1:lvl2:lvl3 into ['lvl1','lvl2','lvl3'].
I'm interested in aggregating the data to get counts at various levels easily, such as counting all records where info[0] is the same or where info[0] and info[1] are the same. (and be able to select time range and terminal)
Is there a way to set up kibana to visualize this kind of information?
Or should I change the way the filter is matching the data to make the data easier to access?
the depth of levels varies but I can be pretty certain that the max levels are 5, so I could parse the text into various fields lvl1 lvl2 lvl3 lvl4 lvl5 instead of putting them in an array.
As per your question, I agree with your way of parsing data. But I would like to add on more to make it directly aggregatable & visualize using Kibana.
The approach should be :-
Filter the data using %{NUMBER:terminal} %{TIMESTAMP_ISO8601:ts} and (?([^\r])*) {As per information given by you}
Mutate
Filter
Then after using mutate & filter you will get data in terms of array {as you have mentioned}
Now you can add a field as level 1 by mentioning add_field => [ "fieldname", "%{[arrayname][0]}" ]
Now you can add a field as level 2 by mentioning add_field => [ "fieldname", "%{[arrayname][1]}" ]
Now you can add a field as level 3 by mentioning add_field => [ "fieldname", "%{[arrayname][2]}" ]
Then you can directly use Kibana to visualize such information.
my solution
input {
file {
path => "C:/Temp/zipped/*.txt"
start_position => beginning
ignore_older => 0
sincedb_path => "C:/temp/logstash_temp2.sincedb"
}
}
filter {
grok {
match => ["message","^%{NOTSPACE}\[%{NUMBER:terminal_id}\] %{NUMBER:log_level} %{NUMBER} %{TIMESTAMP_ISO8601:ts} \[(?<facility>([^\]]*))\] (?<lvl>([^$|\r])*)"]
}
mutate {
split => ["lvl", ":"]
add_field => {"lvl_1" => "%{lvl[0]}"}
add_field => {"lvl_2" => "%{lvl[1]}"}
add_field => {"lvl_3" => "%{lvl[2]}"}
add_field => {"lvl_4" => "%{lvl[3]}"}
add_field => {"lvl_5" => "%{lvl[4]}"}
add_field => {"lvl_6" => "%{lvl[5]}"}
add_field => {"lvl_7" => "%{lvl[6]}"}
add_field => {"lvl_8" => "%{lvl[7]}"}
lowercase => [ "terminal_id" ] # set to lowercase so that it can be used for index - additional filtering may be required
}
date {
match => ["ts", "YYYY-MM-DD HH:mm:ssZZ"]
}
}
filter {
if [lvl_1] =~ /%\{lvl\[0\]\}/ {mutate {remove_field => [ "lvl_1" ]}}
if [lvl_2] =~ /%\{lvl\[1\]\}/ {mutate {remove_field => [ "lvl_2" ]}}
if [lvl_3] =~ /%\{lvl\[2\]\}/ {mutate {remove_field => [ "lvl_3" ]}}
if [lvl_4] =~ /%\{lvl\[3\]\}/ {mutate {remove_field => [ "lvl_4" ]}}
if [lvl_5] =~ /%\{lvl\[4\]\}/ {mutate {remove_field => [ "lvl_5" ]}}
if [lvl_6] =~ /%\{lvl\[5\]\}/ {mutate {remove_field => [ "lvl_6" ]}}
if [lvl_7] =~ /%\{lvl\[6\]\}/ {mutate {remove_field => [ "lvl_7" ]}}
if [lvl_8] =~ /%\{lvl\[7\]\}/ {mutate {remove_field => [ "lvl_8" ]}}
mutate{
remove_field => [ "lvl","host","ts" ] # do not keep this data
}
}
output {
if [facility] == "mydata" {
elasticsearch {
hosts => ["localhost:9200"]
index => "logstash-mydata-%{terminal_id}-%{+YYYY.MM.DD}"
}
} else {
elasticsearch {
hosts => ["localhost:9200"]
index => "logstash-other-%{terminal_id}-%{+YYYY.MM.DD}"
}
}
# stdout { codec => rubydebug }
}