I am receiving Log4j generated log files from remote servers using Logstash forwarder. The log event has fields including a field named "file" in the format /tomcat/logs/app.log, /tomcat/logs/app.log.1, etc. Of course file path /tomcat/logs is on the remote machine and I would like Logstash to create files on the local file system using only the file name and not use the remote file path.
Locally, I would like to create a file based on file name app.log, app.log.1, etc. How can one accomplish this?
I am unable to use grok since it appears to work only with "message" field and not others.
Example Log Event:
{"message":["11 Sep 2014 16:29:04,934 INFO LOG MESSAGE DETAILS HERE "],"#version":"1","#timestamp":"2014-09-15T05:44:43.472Z","file":["/tomcat/logs/app.log.1"],"host":"aus-002157","offset":"3116","type":"app.log"}
Logstash configuration - what do I use to write the filter section?
input {
lumberjack {
port => 48080
ssl_certificate => "/tools/LogStash/logstash-1.4.2/ssl/logstash.crt"
ssl_key => "/tools/LogStash/logstash-1.4.2/ssl/logstash.key"
}
}
filter{
}
output {
file{
#message_format => "%{message}"
flush_interval => 0
path => "/tmp/%{host}.%{type}.%{filename}"
max_size => "4M"
}
}
Figured out the pattern to be as follows:
grok{
match => [ "file", "^(/.*/)(?<filename>(.*))$" ]
}
Thanks for the help!
Logstash Grok can parse all the fields in a log event, not only message field.
For example, you want to extract the file field,
you can do like this
filter {
grok {
match => [ "file", "your pattern" ]
}
}
Related
I have Filebeat configured to watch several different logs on a single host, e.g. Nginx and my app server. However, as I understand it, you cannot have multiple outputs in any one Beat -- so my filebeat.yml has a single output.logstash directive which points to my Logstash server.
Does Logstash have the concept of pipeline routing? I have several pipelines configured on my Logstash server but it's unclear how to leverage that from Filebeat, e.g. I would like to send Nginx logs to my Logstash pipeline for Nginx, etc.
Alternatively, is there a way to route the beats for Nginx to logstash:5044, and the beats for my app server to logstash:5045.
For each of the filebeat prospectors you can use the fields option to add a field that logstash can check to identify what type of data the prospector is collecting. Then in logstash you can use pipeline-to-pipeline communication with the distributor pattern to send different types of data to different pipelines.
You can use tags on your filebeat inputs and filter on your logstash pipeline using those tags.
For example, add the tag nginx to your nginx input in filebeat and the tag app-server in your app server input in filebeat, then use those tags in the logstash pipeline to use different filters and outputs, it will be the same pipeline, but it will route the events based on the tag.
If you want to send the different logs to different ports, you will need to run another instance of Filebeat.
You can use tag concepts for multiple log files
filebeat.yml
filebeat.inputs:
- type: log
tags: [apache]
paths:
- "/home/ubuntu/data/apache.log"
- type: log
tags: [gunicorn]
paths:
- "/home/ubuntu/data/gunicorn.log"
queue.mem:
events: 4096
flush.min_events: 512
flush.timeout: 5s
output.logstash:
hosts: ["****************:5047"]
conf.d/logstash.conf
input {
beats {
port => "5047"
host => "0.0.0.0"
}
}
filter {
if "gunicorn" in [tags] {
grok {
match => {
"message" => "%{USERNAME:u1} %{USERNAME:u2} \[%{HTTPDATE:http_date}\] \"%{DATA:http_verb} %{URIPATHPARAM:api} %{DATA:http_version}\" %{NUMBER:status_code} %{NUMBER:byte} \"%{DATA:external_api}\" \"%{GREEDYDATA:android_client}\""
remove_field => ["message"]
}
}
date {
match => ["http_date", "dd/MMM/yyyy:HH:mm:ss XX"]
}
mutate {
remove_field => ["agent"]
}
}
else if "apache" in [tags] {
grok {
match => {
"message" => "%{IPORHOST:client_ip} %{DATA:u1} %{DATA:u2} \[%{HTTPDATE:http_date}\] \"%{WORD:http_method} %{URIPATHPARAM:api} %{DATA:http_version}\" %{NUMBER:status_code} %{NUMBER:byte} \"%{DATA:external_api}\" \"%{GREEDYDATA:gd}\" \"%{DATA:u3}\""
remove_field => ["message"]
}
}
date {
match => ["http_date", "dd/MMM/yyyy:HH:mm:ss +ssss"]
}
mutate {
remove_field => ["agent"]
}
}
}
output {
if "gunicorn" in [tags] {
stdout { codec => rubydebug }
elasticsearch {
hosts => ["0.0.0.0:9200"]
index => "gunicorn-sample-%{+YYYY.MM.dd}"
}
}
else if "apache" in [tags] {
stdout { codec => rubydebug }
elasticsearch {
hosts => ["0.0.0.0:9200"]
index => "apache-sample-%{+YYYY.MM.dd}"
}
}
}
I use input file to get logs like this:
input {
file {
path => "/home/ec2-user/*.log"
}
}
In one of the log files some events are loging with 1 line:
2018-12-10 10:01:30.1097|0|Services.Services|INFO| Message: test
Another are multilines like this one :
2018-12-10 10:01:30.1097|0|Services.Services|INFO| Message: {
"account_id": "ec812648-3857-4625-9d9a-fc8ce1835493",
"name": "Player_539017",
"creation_time": "10/12/2018 10:52:52",
"hq_level": 2,
"force": 2570
} successfully dequeued |url: |action:
How can I capture both of the messages with logstash filter:
Below is an example from this page which uses the multiline codec to capture log lines starting with a date timestamp as single event. This will work for both of the log events mentioned above.
file {
path => "/home/ec2-user/*.log"
codec => multiline {
# Grok pattern names are valid
pattern => "^%{TIMESTAMP_ISO8601} "
negate => true
what => "previous"
}
}
I have configured my logstash config file to read apache access logs like this:
input {
file {
type => "apache_access"
path => "/etc/httpd/logs/access_log*"
start_position => beginning
sincedb_path => "/dev/null"
}
}
filter {
if [path] =~ "access" {
mutate { replace => { "type" => "apache_access" } }
grok {
match => { "message" => "%{IPORHOST:clientip} - %{DATA:username} \[%{HTTPDATE:timestamp}\] \"(?:%{WORD:verb} %{NOTSPACE:request}(?: HTTP/%{NUMBER:httpversion})?|%{DATA:rawrequest})\" %{NUMBER:response} (?:%{NUMBER:bytes}|-)" }
}
kv {
source => "request"
field_split => "&?"
prefix => "requestarg_"
}
}
date {
match => [ "timestamp" , "dd/MMM/yyyy:HH:mm:ss Z" ]
}
}
output {
stdout {
codec => rubydebug
}
elasticsearch {
host => "10.13.10.18"
cluster => "awstutorialseries"
}
}
files that i have in the directory /etc/httpd/logs are:
access_log
access_log-20161002
access_log-20161005
access_log-20161008
access_log-20161011
...
When accessing all files in path access_log* it can make time if we have a interesting number of archived files.
In the server we rotate logs avery 3 days, so we archive the access_log file to be access_log-{date} and logstash as the config says, it reads all access_log files in that directory even the archived ones are included.
after some month we are in front of a lot of files that logstash should read so it can make time to read them all.
Q1: Is there a way to read all the logs once, and then just access_log file?
Q2: Is there a way or a custom expression to do in config file to read just some log files deponds on date and not all of them ?
I have tried a plenty of conbinaison and filters on my config file based on official documentation but no chance.
Your pattern "access_log*" will match all the old files, too, but logstash will ignore any files older than a day. See the ignore_older param in the file{} input. When catching up on old files, you can set this to a higher value.
Once you're caught up, I would release a new config that only looked at "access_log" (no wildcard, this the latest file only).
I am pretty new to logstash and I have been trying to convert an existing log into a csv format using the logstash-output-csv plugin.
My input log string looks as follows which is a custom log written in our application.
'128.111.111.11/cpu0/log:5988:W/"00601654e51a15472-76":687358:<9>2015/08/18 21:06:56.05: comp/45 55% of memory in use: 2787115008 bytes (change of 0)'
I wrote a quick regex and added it to the patterns_dir using the grok plugin.
My pattern is as follows :
IP_ADDRESS [0-9,.]+
CPU [0-9]
NSFW \S+
NUMBER [0-9]
DATE [0-9,/]+\s+[0-9]+[:]+[0-9]+[:]+[0-9,.]+
TIME \S+
COMPONENT_ID \S+
LOG_MESSAGE .+
without adding any csv filters I was able to get this output.
{
"message" => "128.111.111.11/cpu0/log:5988:W/"00601654e51a15472-76":687358:<9>2015/08/18 21:06:56.05: comp/45 55% of memory in use: 2787115008 bytes (change of 0)",
"#version" => "1",
"#timestamp" => "2015-08-18T21:06:56.05Z",
"host" => "hostname",
"path" => "/usr/phd/raveesh/sample.log_20150819000609",
"tags" => [
[0] "_grokparsefailure"
]
}
This is my configuration in order to get the csv as an output
input {
file {
path => "/usr/phd/raveesh/temporary.log_20150819000609"
start_position => beginning
}
}
filter {
grok {
patterns_dir => "./patterns"
match =>["message", "%{IP_ADDRESS:ipaddress}/%{CPU:cpu}/%{NSFW:nsfw}<%{NUMBER:number}>%{DATE}:%{SPACE:space}%{COMPONENT_ID:componentId}%{SPACE:space}%{LOG_MESSAGE:logmessage}" ]
break_on_match => false
}
csv {
add_field =>{"ipaddress" => "%{ipaddress}" }
}
}
output {
# Print each event to stdout.
csv {
fields => ["ipaddress"]
path => "./logs/firmwareEvents.log"
}
stdout {
# Enabling 'rubydebug' codec on the stdout output will make logstash
# pretty-print the entire event as something similar to a JSON representation.
codec => rubydebug
}
}
The above configuration does not seem to give the output. I am trying only to print the ipaddress in a csv file but finally I need to print all the captured patterns in a csv file. so I need the output as follows :
128.111.111.111,cpu0,nsfw, ....
Could you please let me know the changes i need to make. ?
Thanks in advance
EDIT:
I fixed the regex as suggested using the tool http://grokconstructor.appspot.com/do/match#result
Now my regex filter looks as follows :
%{IP:client}\/%{WORD:cpu}\/%{NOTSPACE:nsfw}<%{NUMBER:number}>%{YEAR:year}\/%{MONTHNUM:month}\/%{MONTHDAY:day}%{SPACE:space}%{TIME:time}:%{SPACE:space2}%{NOTSPACE:comp}%{SPACE:space3}%{GREEDYDATA:messagetext}
How do I capture the individual splits and save it as a csv ?
Thanks
EDIT:
I finally resolved this using the File plugin .
output {
file{
path => "./logs/sample.log"
message_pattern =>"%{client},%{number}"
}
}
The csv tag in the filter section is for parsing the input and exploding the message to key/value pairs.
In your case you are already parsing the input with the grok, so I bet you don't need the csv filter.
But in the output we can see there is a gorkfailure
{
"message" => "128.111.111.11/cpu0/log:5988:W/"00601654e51a15472-76":687358:<9>2015/08/18 21:06:56.05: comp/45 55% of memory in use: 2787115008 bytes (change of 0)",
"#version" => "1",
"#timestamp" => "2015-08-18T21:06:56.05Z",
"host" => "hostname",
"path" => "/usr/phd/raveesh/sample.log_20150819000609",
"tags" => [
[0] "****_grokparsefailure****"
]
}
That means your grok expression cannot parse the input.
You should fix the expression according to your input and then the csv will output properly.
Checkout http://grokconstructor.appspot.com/do/match for some help
BTW, are you sure the patterns NSFW, CPU, COMPONENT_ID, ... are defined somewhere ?
HIH
I'm trying with logstash to collect data from a log file for a version of NETASQ Firewall which contains a lot of lines , but i can not collect correctly my data , I don't know if there is a standard to follow, but I started like this:
input {
stdin { }
file {
type => "FireWall"
path => "/var/log/file.log"
start_position => 'beginning'
}
}
filter {
grok {
match => [ "message", "%{SYSLOGTIMESTAMP:date} %{WORD:id}"]
}
}
output {
stdout { }
elasticsearch {
cluster => "logstash"
}
}
The first line of my file.log looks like this :
Feb 27 04:02:23 id=firewall time="2015-02-27 04:02:23" fw="GVGM-NEWYORK"
tz=+0200 startime="2015-02-27 04:02:22" pri=5 confid=01 slotlevel=2 ruleid=57
srcif="Vlan2" srcifname="SSSSS" ipproto=udp dstif="Ethernet0"
dstifname="out" proto=teredo src=192.168.21.12 srcport=52469
srcportname=ephemeral_fw_udp dst=94.245.121.253 dstport=3544
dstportname=teredo dstname=teredo.ipv6.microsoft.com.nsatc.net
action=block logtype="filter"#015
And finally How can I collect data from the others lines. Please give me a topic just to start. Thanks All.