I am trying to figure out grok pattern for parsing multiple messages like exception trace & below is one such log
2017-03-30 14:57:41 [12345] [qtp1533780180-12] ERROR com.app.XYZ - Exception occurred while processing
java.lang.NullPointerException: null
at spark.webserver.MatcherFilter.doFilter(MatcherFilter.java:162)
at spark.webserver.JettyHandler.doHandle(JettyHandler.java:61)
at org.eclipse.jetty.server.session.SessionHandler.doScope(SessionHandler.java:189)
at org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:141)
at org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:119)
at org.eclipse.jetty.server.Server.handle(Server.java:517)
at org.eclipse.jetty.server.HttpChannel.handle(HttpChannel.java:302)
at org.eclipse.jetty.server.HttpConnection.onFillable(HttpConnection.java:242)
at org.eclipse.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:245)
at org.eclipse.jetty.io.FillInterest.fillable(FillInterest.java:95)
at org.eclipse.jetty.io.SelectChannelEndPoint$2.run(SelectChannelEndPoint.java:75)
at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.produceAndRun(ExecuteProduceConsume.java:213)
at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.run(ExecuteProduceConsume.java:147)
at org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:654)
at org.eclipse.jetty.util.thread.QueuedThreadPool$3.run(QueuedThreadPool.java:572)
at java.lang.Thread.run(Thread.java:745)
Here is my logstash.conf
input {
file {
path => ["/debug.log"]
codec => multiline {
# Grok pattern names are valid! :)
pattern => "^%{TIMESTAMP_ISO8601} "
negate => true
what => previous
}
}
}
filter {
mutate {
gsub => ["message", "r", ""]
}
grok {
match => [ "message", "%{TIMESTAMP_ISO8601:timestamp} \[%{NOTSPACE:uid}\] \[%{NOTSPACE:thread}\] %{LOGLEVEL:loglevel} %{DATA:class}\-%{GREEDYDATA:message}" ]
overwrite => [ "message" ]
}
date {
match => [ "timestamp" , "yyyy-MM-dd HH:mm:ss" ]
}
}
output {
elasticsearch { hosts => localhost }
stdout { codec => rubydebug }
}
This works fine for single line logs parsing but fails in
0] "_grokparsefailure"
for multiline exception traces
Can someone please suggest me the correct filter pattern for parsing multiline logs ?
If you are working with Multiline logs then please use Multiline filter provided by logstash. You first need to distinguish the starting of a new record in multiline filter. From your logs I can see new record is starting with "TIMESTAMP", below is the example usage.
Example usage ::
filter {
multiline {
type => "/debug.log"
pattern => "^%{TIMESTAMP}"
what => "previous"
}
}
You can then use Gsub to replace "\n" and "\r" which will be added by multiline filter to your record. After that use Grok.
The above logstash config worked fine after removing
mutate {
gsub => ["message", "r", ""]
}
So the working logstash config for parsing single line & multi line inputs for the above log pattern
input {
file {
path => ["./debug.log"]
codec => multiline {
# Grok pattern names are valid! :)
pattern => "^%{TIMESTAMP_ISO8601} "
negate => true
what => previous
}
}
}
filter {
grok {
match => [ "message", "%{TIMESTAMP_ISO8601:timestamp} \[%{NOTSPACE:uid}\] \[%{NOTSPACE:thread}\] %{LOGLEVEL:loglevel} %{DATA:class}\-%{GREEDYDATA:message}" ]
overwrite => [ "message" ]
}
date {
match => [ "timestamp" , "yyyy-MM-dd HH:mm:ss" ]
}
}
output {
elasticsearch { hosts => localhost }
stdout { codec => rubydebug }
}
Related
Log Sample
[2020-01-09 04:45:56] VERBOSE[20735][C-0000ccf3] pbx.c: Executing [9081228577525#from-internal:9] Macro("PJSIP/3512-00010e39", "dialout-trunk,1,081228577525,,off") in new stack
I'm trying to parse some logs,
I have tested some logs I have made on and it returning the result I need. But when I combining it with my config and run it, the logs not parsed into the index.
here is my config:
input{
beats{
port=>5044
}
}
filter
{
if [type]=="asterisk_debug"
{
if [message] =~ /^\[/
{
grok
{
match =>
{
"message" => "\[%{TIMESTAMP_ISO8601:log_timestamp}\] +(?<log_level>(?i)(?:debug|notice|warning|error|verbose|dtmf|fax|security)(?-i))\[%{INT:thread_id}\](?:\[%{DATA:call_thread_id}\])? %{DATA:module_name}\: %{GREEDYDATA:log_message}"
}
add_field => [ "received_timestamp", "%{#timestamp}"]
add_field => [ "process_name", "asterisk"]
}
if ![log_message]
{
mutate
{
add_field => {"log_message" => ""}
}
}
if [log_message] =~ /^Executing/ and [module_name] == "pbx.c"
{
grok
{
match =>
{
"log_message" => "Executing +\[%{DATA:TARGET}#%{DATA:dialplan_context}:%{INT:dialplan_priority}\] +%{DATA:asterisk_app}\(\"%{DATA:protocol}/%{DATA:Ext}-%{DATA:Channel}\",+ \"%{DATA:procedure},%{INT:trunk},%{DATA:dest},,%{DATA:mode}\"\) %{GREEDYDATA:log_message}"
}
}
}
}
}
}
output{
elasticsearch{
hosts=>"127.0.0.1:9200"
index=>"new_asterisk"
}
}
when I check it into kibana index, the index just showing raw logs.
Questions:
why my conf not parsing logs even the grok I've made successfully tested (by me).
solved
log not get into if condition
It seems like your grok-actions don't get applied at all because the data get indexed raw and no error-tags are thrown. Obviously your documents don't contain a field type with value asterisk_debug which is your condition to execute the grok-actions.
To verify this, you could implement a simple else-path that adds a field or tag indicating that the condition was not met like so:
filter{
if [type]=="asterisk_debug"{
# your grok's ...
}
else{
mutate{
add_tag => [ "no_asterisk_debug_type" ]
}
}
}
I understand that Logstash is for aggregating and processing logs. I have NGIX logs and had Logstash config setup as:
filter {
grok {
match => [ "message" , "%{COMBINEDAPACHELOG}+%{GREEDYDATA:extra_fields}"]
overwrite => [ "message" ]
}
mutate {
convert => ["response", "integer"]
convert => ["bytes", "integer"]
convert => ["responsetime", "float"]
}
geoip {
source => "clientip"
target => "geoip"
add_tag => [ "nginx-geoip" ]
}
date {
match => [ "timestamp" , "dd/MMM/YYYY:HH:mm:ss Z" ]
remove_field => [ "timestamp" ]
}
useragent {
source => "agent"
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
index => "weblogs-%{+YYYY.MM}"
document_type => "nginx_logs"
}
stdout { codec => rubydebug }
}
This would parse the unstructured logs into a structured form of data, and store the data into monthly indexes.
What I discovered is that the majority of logs were contributed by robots/web-crawlers. In python I would filter them out by:
browser_names = browser_names[~browser_names.str.\
match('^[\w\W]*(google|bot|spider|crawl|headless)[\w\W]*$', na=False)]
However, I would like to filter them out with Logstash so I can save a lot of disk space in Elasticsearch server. Is there a way to do that? Thanks in advance!
Thanks LeBigCat for generously giving a hint. I solved this problem by adding the following under the filter:
if [browser_names] =~ /(?i)^[\w\W]*(google|bot|spider|crawl|headless)[\w\W]*$/ {
drop {}
}
the (?i) flag is for case insensitive matching.
In your filter you can ask for drop (https://www.elastic.co/guide/en/logstash/current/plugins-filters-drop.html). As you already got your pattern, should be pretty fast ;)
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 have a string field "origin_message". It is pretty big one (used multiline to get mail content. Example of "origin_message":
Delivered-to: somemail#domain.com A LOT OF OTHER CONTENT Subject: Subject goes here AND THE REST OF THE MESSAGE
Desired result:
Subject goes here AND THE REST OF THE MESSAGE
Is there a way to trim everything before "Subject:" phrase?
I have tried the following filter with no luck:
filter {
mutate {
add_field => { "original_message" => "%{message}" }
convert => {
"original_message" => "string"
}
gsub => [
"original_message", "^(.*)Subject", " "
]
}
}
No sure why but using gsub on "message" field before copying that to separate "original_message" field fixed the issue.
filter {
mutate {
gsub => ["message", "^(.*)Subject", " "]
add_field => { "original_message" => "%{message}" }
convert => {
"original_message" => "string"
}
}
}
#Val, thanks for verification. Issue appeared to be not pattern related.
I'm using Logstash to forward error logs from app servers to ES. Everything is working fine except that log timestamp going as string to ES.
Here is my log format
[Date:2015-03-25 01:29:09,554] [ThreadId:4432] [HostName:AEPLWEB1] [Host:(null)] [ClientIP:(null)] [Browser:(null)] [UserAgent:(null)] [PhysicalPath:(null)] [Url:(null)] [QueryString:(null)] [Referrer:(null)] [Carwale.Notifications.ExceptionHandler] System.InvalidCastException: Unable to cast object of type 'Carwale.Entity.CMS.Articles.ArticleDetails' to type 'Carwale.Entity.CMS.Articles.ArticlePageDetails'. at Carwale.Cache.Core.MemcacheManager.GetFromCacheCore[T](String key, TimeSpan cacheDuration, Func`1 dbCallback, Boolean& isKeyFirstTimeCreated)
Filter configuration for logstash forwarder
filter {
multiline {
pattern => "^\[Date:%{TIMESTAMP_ISO8601}"
negate => true
what => "previous"
}
grok {
match => [ "message", "(?:Date:%{TIMESTAMP_ISO8601:log_timestamp})\] \[(?:ThreadId:%{NUMBER:ThreadId})\] \[(?:HostName:%{WORD:HostName})\] \[(?:Host:\(%{WORD:Host})\)\] \[(?:ClientIP:\(%{WORD:ClientIP})\)\] \[(?:Browser:\(%{WORD:Browser})\)\] \[(?:UserAgent:\(%{WORD:UserAgent})\)\] \[(?:PhysicalPath:\(%{WORD:PhysicalPath})\)\] \[(?:Url:\(%{WORD:Url})\)\] \[(?:QueryString:\(%{WORD:QueryString})\)\] \[(?:Referrer:\(%{WORD:Referrer})\)\] \[%{DATA:Logger}\] %{GREEDYDATA:err_message}" ]
}
date {
match => [ "log_timestamp", "MMM dd YYY HH:mm:ss","MMM d YYY HH:mm:ss", "ISO8601" ]
target => "log_timestamp"
}
mutate {
convert => ["ThreadId", "integer"]
}
}
How I can make it date in ES? Please help. Thanks in advance.
I had the similar issue. Now fixed it with the below workaround.
grok {
match => {
"message" => "%{YEAR:year}-%{MONTHNUM:month}-%{MONTHDAY:day}[T ]%{HOUR:hour}:%{MINUTE:minute}:%{SECOND:second}"
}
}
grok{
match => {
"second" => "(?<asecond>(^[^,]*))" }
}
mutate {
add_field => {
"timestamp" => "%{year}-%{month}-%{day} %{hour}:%{minute}:%{asecond}"
}
}
date{ match => [ "timestamp", "yyyy-MM-dd HH:mm:ss" ] timezone=> "UTC" target => "log_timestamp" }
Thanks,