I try to parse a message field to generate differents fields. After research, the solution is to use grok with match. But in Kibana, I can't see the new fields (even after refresh or recreate fields from logstash indexes)
I try this in filter config :
grok {
match => {
"message" => "\[32m%{LOGLEVEL:loglevel}\[39m: memory: %{NOTSPACE:memory}, uptime \(seconds\): %{NUMBER:uptime}, load: %{NUMBER:load1},%{NUMBER:load5},%{NUMBER:load15}"
}
}
mutate {
rename => { "docker.id" => "container_id" }
rename => { "docker.name" => "container_name" }
rename => { "docker.image" => "docker_image" }
rename => { "docker.hostname" => "docker_hostname" }
}
To transform this type of message :
[32minfo[39m: memory: 76Mb, uptime (seconds): 5529.927, load: 0.05322265625,0.1298828125,0.19384765625
To this variables :
load15 0.19384765625
uptime 5529.927
load1 0.05322265625
load5 0.1298828125
memory 76Mb
loglevel info
I test the pattern in http://grokconstructor.appspot.com/do/match and my matches work fine. But, In Kibana I can't retrieve this fields.
Thanks
Related
I'm forwarding application logs to elasticsearch, while performing some grok filters before.
The application has a timestamp field and there's the timestamp field of logstash itself.
We regularly check the difference between those timestamp, and on many cases the delay is very big, meaning the log took very long time to be shipped to elasticsearch.
I'm wondering how can I isolate the issue to know if the delay is coming from logstash or elasticsearch.
Example logstash scrape config:
input {
file {
path => "/app/app-core/_logs/app-core.log"
codec => multiline {
pattern => "(^[a-zA-Z.]+(?:Error|Exception).+)|(^\s+at .+)|(^\s+... \d+ more)|(^\t+)|(^\s*Caused by:.+)"
what => "previous"
}
}
}
filter {
if "multiline" not in [tags]{
json {
source => "message"
remove_field => ["[request][body]","[response][body][response][items]"]
}
}
else {
grok {
pattern_definitions => { APPJSON => "{.*}" }
match => { "message" => "%{APPJSON:appjson} %{GREEDYDATA:stack_trace}"}
remove_field => ["message"]
}
json {
source => "appjson"
remove_field => ["appjson"]
}
}
}
output {
elasticsearch {
hosts => ["elasticsearch-logs.internal.app.io:9200"]
index => "logstash-core-%{+YYYY.MM.dd}"
document_type => "logs"
}
}
We tried adjusting the number of workers and batch size, no value we tried reduced the delay:
pipeline.workers: 9
pipeline.output.workers: 9
pipeline.batch.size: 600
pipeline.batch.delay: 5
Nothing was done on the elasticsearch side because I think the issue is with logstash, but I'm not sure.
I have a filebeat that captures logs from uwsgi application running in docker. The data is sent to the logstash which parses it and forwards to elasticsearch.
Here is the logstash conf file:
input {
beats {
port => 5044
}
}
filter {
grok {
match => { "log" => "\[pid: %{NUMBER:worker.pid}\] %{IP:request.ip} \{%{NUMBER:request.vars} vars in %{NUMBER:request.size} bytes} \[%{HTTPDATE:timestamp}] %{URIPROTO:request.method} %{URIPATH:request.endpoint}%{URIPARAM:request.params}? => generated %{NUMBER:response.size} bytes in %{NUMBER:response.time} msecs(?: via sendfile\(\))? \(HTTP/%{NUMBER:request.http_version} %{NUMBER:response.code}\) %{NUMBER:headers} headers in %{NUMBER:response.size} bytes \(%{NUMBER:worker.switches} switches on core %{NUMBER:worker.core}\)" }
}
date {
# 29/Oct/2018:06:50:38 +0700
match => [ "timestamp" , "dd/MMM/yyyy:HH:mm:ss Z"]
}
kv {
source => "request.params"
field_split => "&?"
target => "request.query"
}
}
output {
elasticsearch {
hosts => ["http://localhost:9200"]
index => "test-index"
}
}
Everything was fine, but I've noticed that all values captured by the grok pattern is duplicated. Here is how it looks in kibana:
Note that the raw data like log which wasn't grok output is fine. I've seen that kv filter has allow_duplicate_values parameter, but it doesn't apply to grok.
What is wrong with my configuration? Also, is it possible to rerun grok patterns on existing data in elasticsearch?
Maybe your filebeat is already doing the job and creating these fields
Did you try to add this parameter to your grok ?
overwrite => [ "request.ip", "request.endpoint", ... ]
In order to rerun grok on already indexed data you need to use elasticsearch input plugin in order to read data from ES and re-index it after grok.
I have an elasticsearch instance, which parses my logfiles according to my regex pattern, which takes the date from the logfile. Then the date should be used as the index pattern for elasticsearch purposes. This is where it gets wrong. My logstash-pipeline-config-file looks as follows:
input {
beats {
port => "5044"
}
}
filter {
grok {
match => { "message" => "%{LOGGERLEVEL:log}%{PIPE:k}%{TIMESTAMP_ISO8601:datetime}%{GREEDYDATA:data}"}
}
date {
match => ["datetime", "ISO8601"]
timezone => "Europe/Helsinki"
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
}
}
LOGGERLEVEL and PIPE are user defined regexes. This version parses the logs as it should but it indexes the first two hours of the day to the date before. If I change the config-file as follows, elasticsearch will ignore the first two hours altogether:
input {
beats {
port => "5044"
}
}
filter {
grok {
match => { "message" => "%{LOGGERLEVEL:log}%{PIPE:k}%{TIMESTAMP_ISO8601:datetime}%{GREEDYDATA:data}"}
}
date {
match => ["datetime", "ISO8601"]
timezone => "Europe/London"
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
}
}
How should I configurate my pipeline that one day would be indexed as a whole and under the same index that is the date found from the logfile?
Solved the problem. Using kibana, go to management -> advanced settings and change the dateFormat:tz to the desired format. In my case I have to use the second configuration and select Europe/London from kibana-settings.
Im having a problem with ELK Stack + Filebeat.
Filebeat is sending apache-like logs to Logstash, which should be parsing the lines. Elasticsearch should be storing the split data in fields so i can visualize them using Kibana.
Problem:
Elasticsearch recieves the logs but stores them in a single "message" field.
Desired solution:
Input:
10.0.0.1 some.hostname.at - [27/Jun/2017:23:59:59 +0200]
ES:
"ip":"10.0.0.1"
"hostname":"some.hostname.at"
"timestamp":"27/Jun/2017:23:59:59 +0200"
My logstash configuration:
input {
beats {
port => 5044
}
}
filter {
if [type] == "web-apache" {
grok {
patterns_dir => ["./patterns"]
match => { "message" => "IP: %{IPV4:client_ip}, Hostname: %{HOSTNAME:hostname}, - \[timestamp: %{HTTPDATE:timestamp}\]" }
break_on_match => false
remove_field => [ "message" ]
}
date {
locale => "en"
timezone => "Europe/Vienna"
match => [ "timestamp", "dd/MMM/yyyy:HH:mm:ss Z" ]
}
useragent {
source => "agent"
prefix => "browser_"
}
}
}
output {
stdout {
codec => rubydebug
}
elasticsearch {
hosts => ["localhost:9200"]
index => "test1"
document_type => "accessAPI"
}
}
My Elasticsearch discover output:
I hope there are any ELK experts around that can help me.
Thank you in advance,
Matthias
The grok filter you stated will not work here.
Try using:
%{IPV4:client_ip} %{HOSTNAME:hostname} - \[%{HTTPDATE:timestamp}\]
There is no need to specify desired names seperately in front of the field names (you're not trying to format the message here, but to extract seperate fields), just stating the field name in brackets after the ':' will lead to the result you want.
Also, use the overwrite-function instead of remove_field for message.
More information here:
https://www.elastic.co/guide/en/logstash/current/plugins-filters-grok.html#plugins-filters-grok-options
It will look similar to that in the end:
filter {
grok {
match => { "message" => "%{IPV4:client_ip} %{HOSTNAME:hostname} - \[%{HTTPDATE:timestamp}\]" }
overwrite => [ "message" ]
}
}
You can test grok filters here:
http://grokconstructor.appspot.com/do/match
I copied
{"name":"myapp","hostname":"banana.local","pid":40161,"level":30,"msg":"hi","time":"2013-01-04T18:46:23.851Z","v":0}
from https://github.com/trentm/node-bunyan and save it as my logs.json. I am trying to import only two fields (name and msg) to ElasticSearch via LogStash. The problem is that I depend on a sort of filter that I am not able to accomplish. Well I have successfully imported such line as a single message but certainly it is not worth in my real case.
That said, how can I import only name and msg to ElasticSearch? I tested several alternatives using http://grokdebug.herokuapp.com/ to reach an useful filter with no success at all.
For instance, %{GREEDYDATA:message} will bring the entire line as an unique message but how to split it and ignore all other than name and msg fields?
At the end, I am planing to use here:
input {
file {
type => "my_type"
path => [ "/home/logs/logs.log" ]
codec => "json"
}
}
filter {
grok {
match => { "message" => "data=%{GREEDYDATA:request}"}
}
#### some extra lines here probably
}
output
{
elasticsearch {
codec => json
hosts => "http://127.0.0.1:9200"
index => "indextest"
}
stdout { codec => rubydebug }
}
I have just gone through the list of available Logstash filters. The prune filter should match your need.
Assume you have installed the prune filter, your config file should look like:
input {
file {
type => "my_type"
path => [ "/home/logs/logs.log" ]
codec => "json"
}
}
filter {
prune {
whitelist_names => [
"#timestamp",
"type",
"name",
"msg"
]
}
}
output {
elasticsearch {
codec => json
hosts => "http://127.0.0.1:9200"
index => "indextest"
}
stdout { codec => rubydebug }
}
Please be noted that you will want to keep type for Elasticsearch to index it into a correct type. #timestamp is required if you will view the data on Kibana.