I have a log line like this:
09 Nov 2018 15:51:35 DEBUG api.MapAnythingProvider - Calling API For Client: XXX Number of ELEMENTS Requested YYY
I want to ignore all other log lines and only want those lines that have the words "Calling API For Client" in it. Further, I am only interested in the String XXX and Number YYY.
Thanks for the help.
input {
file {
path => ["C:/apache-tomcat-9.0.7/logs/service/service.log"]
sincedb_path => "nul"
start_position => "beginning"
}
}
filter {
grok {
match => {
"message" => "%{MONTHDAY:monthDay} %{MONTH:mon} %{YEAR:year} %{TIME:ts} %{WORD:severity} %{JAVACLASS:claz} - %{GREEDYDATA:logmessage}"
}
}
grok {
match => {
"logmessage" => "%{WORD:keyword} %{WORD:customer} %{WORD:key2} %{NUMBER:mapAnythingCreditsConsumed:float} %{WORD:key3} %{NUMBER:elementsFromCache:int}"
}
}
if "_grokparsefailure" in [tags] {
drop {}
}
mutate {
remove_field => [ "monthDay", "mon", "ts", "severity", "claz", "keyword", "key2", "path", "message", "year", "key3" ]
}
}
output {
if [logmessage] =~ /ExecutingJobFor/ {
elasticsearch {
hosts => ["localhost:9200"]
index => "test"
manage_template => false
}
stdout {
codec => rubydebug
}
}
}
Related
I'm using filebeat - 6.5.1, Logstash - 6.5.1 and elasticsearch - 6.5.1
I'm using multiple GROK in the single config file and trying to send the logs into Elasticsearch
Below is my Filebeat.yml
filebeat.prospectors:
type: log
paths:
var/log/message
fields:
type: apache_access
tags: ["ApacheAccessLogs"]
type: log
paths:
var/log/indicate
fields:
type: apache_error
tags: ["ApacheErrorLogs"]
type: log
paths:
var/log/panda
fields:
type: mysql_error
tags: ["MysqlErrorLogs"]
output.logstash:
The Logstash hosts
hosts: ["logstash:5044"]
Below is my logstash config file -
input {
beats {
port => 5044
tags => [ "ApacheAccessLogs", "ApacheErrorLogs", "MysqlErrorLogs" ]
}
}
filter {
if "ApacheAccessLogs" in [tags] {
grok {
match => [
"message" , "%{COMBINEDAPACHELOG}+%{GREEDYDATA:extra_fields}",
"message" , "%{COMMONAPACHELOG}+%{GREEDYDATA:extra_fields}"
]
overwrite => [ "message" ]
}
mutate {
convert => ["response", "integer"]
convert => ["bytes", "integer"]
convert => ["responsetime", "float"]
}
geoip {
source => "clientip"
target => "geoip"
add_tag => [ "apache-geoip" ]
}
date {
match => [ "timestamp" , "dd/MMM/YYYY:HH:mm:ss Z" ]
remove_field => [ "timestamp" ]
}
useragent {
source => "agent"
}
}
if "ApacheErrorLogs" in [tags] {
grok {
match => { "message" => ["[%{APACHE_TIME:[apache2][error][timestamp]}] [%{LOGLEVEL:[apache2][error][level]}]( [client %{IPORHOST:[apache2][error][client]}])? %{GREEDYDATA:[apache2][error][message]}",
"[%{APACHE_TIME:[apache2][error][timestamp]}] [%{DATA:[apache2][error][module]}:%{LOGLEVEL:[apache2][error][level]}] [pid %{NUMBER:[apache2][error][pid]}(:tid %{NUMBER:[apache2][error][tid]})?]( [client %{IPORHOST:[apache2][error][client]}])? %{GREEDYDATA:[apache2][error][message1]}" ] }
pattern_definitions => {
"APACHE_TIME" => "%{DAY} %{MONTH} %{MONTHDAY} %{TIME} %{YEAR}"
}
remove_field => "message"
}
mutate {
rename => { "[apache2][error][message1]" => "[apache2][error][message]" }
}
date {
match => [ "[apache2][error][timestamp]", "EEE MMM dd H:m:s YYYY", "EEE MMM dd H:m:s.SSSSSS YYYY" ]
remove_field => "[apache2][error][timestamp]"
}
}
if "MysqlErrorLogs" in [tags] {
grok {
match => { "message" => ["%{LOCALDATETIME:[mysql][error][timestamp]} ([%{DATA:[mysql][error][level]}] )?%{GREEDYDATA:[mysql][error][message]}",
"%{TIMESTAMP_ISO8601:[mysql][error][timestamp]} %{NUMBER:[mysql][error][thread_id]} [%{DATA:[mysql][error][level]}] %{GREEDYDATA:[mysql][error][message1]}",
"%{GREEDYDATA:[mysql][error][message2]}"] }
pattern_definitions => {
"LOCALDATETIME" => "[0-9]+ %{TIME}"
}
remove_field => "message"
}
mutate {
rename => { "[mysql][error][message1]" => "[mysql][error][message]" }
}
mutate {
rename => { "[mysql][error][message2]" => "[mysql][error][message]" }
}
date {
match => [ "[mysql][error][timestamp]", "ISO8601", "YYMMdd H:m:s" ]
remove_field => "[apache2][access][time]"
}
}
}
output {
if "ApacheAccessLogs" in [tags] {
elasticsearch { hosts => ["elasticsearch:9200"]
index => "apache"
document_id => "apacheaccess"
}
}
if "ApacheErrorLogs" in [tags] {
elasticsearch { hosts => ["elasticsearch:9200"]
index => "apache"
document_id => "apacheerror"
}
}
if "MysqlErrorLogs" in [tags] {
elasticsearch { hosts => ["elasticsearch:9200"]
index => "apache"
document_id => "sqlerror"
}
}
stdout { codec => rubydebug }
}
The data is sent to elastic search but only 3 records are getting created for each document_id in the same index.
Only 3 records are created and every new logs incoming are overwritten onto the same document_id and the old one is lost.
Can you guys please help me out?
The definition of document_id is to provide an unique document id for an event. In your case, as they are static (apacheaccess, apacheerror, sqlerror), there will be only 1 event per index ingested into elasticsearch, overide by the newest event.
As you have 3 distinct data type, what you seems to be looking for provide for each event type (ApacheAccessLogs, ApacheErrorLogs, MysqlErrorLogs) a different index, as following :
output {
if "ApacheAccessLogs" in [tags] {
elasticsearch {
hosts => ["elasticsearch:9200"]
index => "apache-access"
}
}
if "ApacheErrorLogs" in [tags] {
elasticsearch {
hosts => ["elasticsearch:9200"]
index => "apache-error"
}
}
if "MysqlErrorLogs" in [tags] {
elasticsearch {
hosts => ["elasticsearch:9200"]
index => "mysql-error"
}
}
stdout {
codec => rubydebug
}
}
There are not many cases where you need to set the id manually (eg. in case of reingest of data), as Logstash & Elasticsearch will manage that by themself.
But if that's the case, and you can't use a field to identify each event individually, you could use the logstash-filter-fingerprint, that is made for that.
I'm trying to add LEVEL field (so it shows up in Kibana). My logstash.conf
Input:
2018-03-18 15:43:40.7914 - INFO: Tick
2018-03-18 15:43:40.7914 - ERROR: Tock
file:
input {
beats {
port => 5044
}
}
filter {
grok {
match => {
"message" => "(?m)^%{TIMESTAMP_ISO8601:timestamp}~~\[%{DATA:thread}\]~~\[%{DATA:user}\]~~\[%{DATA:requestId}\]~~\[%{DATA:userHost}\]~~\[%{DATA:requestUrl}\]~~%{DATA:level}~~%{DATA:logger}~~%{DATA:logmessage}~~%{DATA:exception}\|\|"
}
match => {
"levell" => "(?m)^%{DATA:level}"
}
add_field => {
"received_at" => "%{#timestamp}"
"received_from" => "%{host}"
"level" => "levell"
}
remove_field => ["message"]
}
date {
match => [ "timestamp", "yyyy-MM-dd HH:mm:ss:SSS" ]
}
}
output {
elasticsearch {
hosts => ["http://localhost:9200"]
sniffing => true
index => "filebeat-%{+YYYY.MM.dd}"
document_type => "%{[#metadata][type]}"
#user => "elastic"
#password => "changeme"
}
stdout { codec => rubydebug }
}
this prints out "levell" instead of "INFO/ERROR" etc
EDIT:
Input:
2018-03-18 15:43:40.7914 - INFO: Tick
configuration:
# Sample Logstash configuration for creating a simple
# Beats -> Logstash -> Elasticsearch pipeline.
input {
beats {
port => 5044
}
}
filter {
grok {
match => { "message" => "(?m)^%{TIMESTAMP_ISO8601:timestamp}~~\[%{DATA:thread}\]~~\[%{DATA:user}\]~~\[%{DATA:requestId}\]~~\[%{DATA:userHost}\]~~\[%{DATA:requestUrl}\]~~%{DATA:level}~~%{DATA:logger}~~%{DATA:logmessage}~~%{DATA:exception}\|\|" }
add_field => {
"received_at" => "%{#timestamp}"
"received_from" => "%{host}"
}
}
grok {
match => { "message" => "- %{LOGLEVEL:level}" }
remove_field => ["message"]
}
date {
match => [ "timestamp", "yyyy-MM-dd HH:mm:ss:SSS" ]
}
}
output {
elasticsearch {
hosts => ["http://localhost:9200"]
sniffing => true
index => "filebeat-%{+YYYY.MM.dd}"
document_type => "%{[#metadata][type]}"
#user => "elastic"
#password => "changeme"
}
stdout { codec => rubydebug }
}
Output I'm getting. Still missing received_at and level:
In that part of the configuration:
add_field => {
"received_at" => "%{#timestamp}"
"received_from" => "%{host}"
"level" => "levell"
}
When using "level" => "levell", you just put the String levell in the field level. To put the value of the field named levell, you have to use %{levell}. So in you case, it would look like:
add_field => {
"received_at" => "%{#timestamp}"
"received_from" => "%{host}"
"level" => "%{levell}"
}
Also the grok#match, according to the documentation:
A hash that defines the mapping of where to look, and with which patterns.
So trying to match on the levell field won't work, since it look like it doesn't exist yet. And the grok pattern you're using to match the message field don't match the example you provided.
I have logs where each event is:
ExitNode FF33F91CC06B6CC5C3EE804E7D8DBE42CB5707F9
Published 2017-11-05 02:55:09
LastStatus 2017-11-05 04:02:27
ExitAddress 66.42.224.235 2017-11-05 04:06:26
I tried to use multiline:
input {
file {
path => "/path/input"
}
}
filter {
multiline {
pattern => "^\b[A-Za-z]{8}\b"
what => "next"
}
}
filter {
multiline {
pattern => "^\b[A-Za-z]{8}\b"
what => "next"
}
}
filter {
multiline {
pattern => "^\b[A-Za-z]{11}\b"
what => "previous"
}
}
output {
file {
codec => rubydebug
path => "/path/output"
}
}
And I get something like this:
{
"path" => "/path/input",
"#timestamp" => 2017-11-05T10:25:34.112Z,
"#version" => "1",
"host" => "HOST",
"message" => "ExitNode FE3CB742E73674F1BC2382723209ECEE44AD4AEC\nPublished 2017-11-04 20:34:55\nLastStatus 2017-11-04 21:03:26\nExitAddress 77.250.227.12 2017-11-04 21:06:45",
"tags" => [
[0] "multiline"
]
}
And I can't grok this message field because I don't know how to remove or replace \n and gsub => ["message", "\n", "Line_Break"] doesn't work properly.
Thanks
From the comment of #baudsp:
mutate {
gsub =>
["message", "[\r\n]","_"]
}
I have an issue with converting value through logstash, I can't find solution for it. it seems to be linked to the date.
#Log line
[2017-08-15 12:30:17] api.INFO: {"sessionId":"a216925---ff5992be7520924ff25992be75209c7","action":"processed","time":1502789417,"type":"bookingProcess","page":"order"} [] []
Logstash configuration
filter {
if [type] == "api-prod-log" {
grok {
match => {"message" => "\[%{TIMESTAMP_ISO8601:timestamp}\] %{WORD:module}.%{WORD:level}: (?<log_message>.*) \[\] \[\]" }
add_field => [ "received_from", "%{host}" ]
}
json {
source => "log_message"
target => "flightSearchRequest"
remove_field=>["log_message"]
}
date {
match => [ "timestamp", "YYYY-MM-dd HH:mm:ss" ]
timezone => "Asia/Jerusalem"
}
}
}
Any idea ?
Thanks
What version of Logstash are you using?
On Logstash 5.2.2 with the following Logstash config:
input {
stdin{}
}
filter {
grok {
match => {"message" => '\[%{TIMESTAMP_ISO8601:timestamp}\] %{WORD:module}.%{WORD:level}: (?<log_message>.*) \[\] \[\]' }
}
json {
source => "log_message"
target => "flightSearchRequest"
remove_field=>["log_message"]
}
date {
match => [ "timestamp", "YYYY-MM-dd HH:mm:ss" ]
timezone => "Asia/Jerusalem"
}
}
output{
stdout {codec => "rubydebug"}
}
I get a perfectly correct result and no errors, when I pass your log line as input:
{
"#timestamp" => 2017-08-15T09:30:17.000Z,
"flightSearchRequest" => {
"action" => "processed",
"sessionId" => "a216925---ff5992be7520924ff25992be75209c7",
"time" => 1502789417,
"page" => "order",
"type" => "bookingProcess"
},
"level" => "INFO",
"module" => "api",
"#version" => "1",
"message" => "[2017-08-15 12:30:17] api.INFO: {\"sessionId\":\"a216925---ff5992be7520924ff25992be75209c7\",\"action\":\"processed\",\"time\":1502789417,\"type\":\"bookingProcess\",\"page\":\"order\"} [] []",
"timestamp" => "2017-08-15 12:30:17"
}
I've removed the check for "type" in the beginning, can you test if that can affect the result?
I'm new to Logstash, trying to use it to parse a HTML log file.
I need to output only the log lines, i.e. ignore preceding JS, CSS and HTML that are also included in the file.
A log line in the file looks like this:
<tr bgcolor="tomato"><td>Jan 28<br>13:52:25.692</td><td>Jan 28<br>13:52:23.950</td><td>qtp114615276-1648 [POST] [call_id:-8009072655119858507]</td><td>REST</td><td>sa</td><td>0.0.0.0</td><td>ERR</td><td>ProjectValidator.validate(36)</td><td>Project does not exist</td></tr>
I have no problem getting all the lines, but I would like to have an output which contains only the relevant ones, without HTML tags, and looks something like that:
{
"db_timestamp": "2015-01-28 13:52:25.692",
"server_timestamp": "2015-01-28 13:52:25.950",
"node": "qtp114615276-1648 [POST] [call_id:-8009072655119858507]",
"thread": "REST",
"user": "sa",
"ip": "0.0.0.0",
"level": "ERR",
"method": "ProjectValidator.validate(36)",
"message": "Project does not exist"
}
My Logstash configuration is:
input {
file {
type => "request"
path => "<some path>/*.log"
start_position => "beginning"
}
file {
type => "log"
path => "<some path>/*.html"
start_position => "beginning"
}
}
filter {
if [type] == "log" {
grok {
match => [ WHAT SHOULD I PUT HERE??? ]
}
}
}
output {
stdout {}
if [type] == "request" {
http {
http_method => "post"
url => "http://<some url>"
mapping => ["type", "request", "host" ,"%{host}", "timestamp", "%{#timestamp}", "message", "%{message}"]
}
}
if [type] == "log" {
http {
http_method => "post"
url => "http://<some url>"
mapping => [ ALSO WHAT SHOULD I PUT HERE??? ]
}
}
}
Is there a way to do that? So far I haven't found any relevant documentation or samples.
Thanks!
Finally figured out the answer.
Not sure this is the best or most elegant solution, but it works.
I changed the http output format to "message", which enabled me to override and format the whole message as JSON, instead of using mapping. Also, found out how to name parameters in the grok filter and use them in the output.
This is the new Logstash configuration file:
input {
file {
type => "request"
path => "<some path>/*.log"
start_position => "beginning"
}
file {
type => "log"
path => "<some path>/*.html"
start_position => "beginning"
}
}
filter {
if [type] == "log" {
grok {
match => { "message" => "<tr bgcolor=.*><td>%{MONTH:db_date}%{SPACE}%{MONTHDAY:db_date}<br>%{TIME:db_date}</td><td>%{MONTH:alm_date}%{SPACE}%{MONTHDAY:alm_date}<br>%{TIME:alm_date}</td><td>%{DATA:thread}</td><td>%{DATA:req_type}</td><td>%{DATA:username}</td><td>%{IP:ip}</td><td>%{DATA:level}</td><td>%{DATA:method}</td><td>%{DATA:err_message}</td></tr>" }
}
}
}
output { stdout { codec => rubydebug }
if [type] == "request" {
http {
http_method => "post"
url => "http://<some URL>"
mapping => ["type", "request", "host" ,"%{host}", "timestamp", "%{#timestamp}", "message", "%{message}"]
}
}
if [type] == "log" {
http {
format => "message"
content_type => "application/json"
http_method => "post"
url => "http://<some URL>"
message=> '{
"db_date":"%{db_date}",
"alm_date":"%{alm_date}",
"thread": "%{thread}",
"req_type": "%{req_type}",
"username": "%{username}",
"ip": "%{ip}",
"level": "%{level}",
"method": "%{method}",
"message": "%{err_message}"
}'
}
}
}
Note the single quote for the http message block and the double quotes for the parameters inside this block.
For anyone parsing HP ALM logs, the following Logstash filter will do the work:
grok {
break_on_match => true
match => [ "message", "<tr bgcolor=.*><td>%{MONTH:db_date_mon}%{SPACE}%{MONTHDAY:db_date_day}<br>%{TIME:db_date_time}<\/td><td>%{MONTH:alm_date_mon}%{SPACE}%{MONTHDAY:alm_date_day}<br>%{TIME:alm_date_time}<\/td><td>(?<thread_col1>.*?)<\/td><td>(?<request_type>.*?)<\/td><td>(?<login>.*?)<\/td><td>(?<ip>.*?)<\/td><td>(?<level>.*?)<\/td><td>(?<method>.*?)<\/td><td>(?m:(?<log_message>.*?))</td></tr>" ]
}
mutate {
add_field => ["db_date", "%{db_date_mon} %{db_date_day}"]
add_field => ["alm_date", "%{alm_date_mon} %{alm_date_day}"]
remove_field => [ "db_date_mon", "db_date_day", "alm_date_mon", "alm_date_day" ]
gsub => [
"log_message", "<br>", "
"
]
gsub => [
"log_message", "<p>", " "
]
}
Tested and working fine with Logstash 2.4.0