I'm parsing multiple log files with logstash - and want to add fields based on the path of the files to my output. Here are the relevant parts of the config file:
input {
file {
path => "/mnt/logs/**/console-20200108*.log"
type => "tomcat"
start_position => "beginning"
sincedb_path => "/dev/null"
}
}
filter {
if [type] == "tomcat" {
grok {
patterns_dir => "/usr/share/logstash/patterns"
match => {
"message" => [ "%{TOMCAT_LOG_1}", "%{TOMCAT_LOG_2}" ]
"path" => "\/mnt\/logs\/%{DATA:site}\/%{DATA:version}\/node%{NUMBER:node}\/store\/tomcat\/%{DATA:file}\.log"
}
}
}
}
Here's a sample output:
{
"level" => "INFO",
"type" => "tomcat",
"data" => "Finished indexer cronjob.\r",
"timestamp" => "08-Jan-2020 11:00:05.860",
"qualifier1" => "[update-backofficeIndex-CronJob::ServicelayerJob]",
"#timestamp" => 2020-01-08T11:04:47.364Z,
"path" => "/mnt/logs/protec/qa/node1/store/tomcat/console-20200108.log",
"qualifier3" => "[SolrIndexerJob]",
"host" => "elk",
"#version" => "1",
"message" => "INFO | jvm 1 | srvmain | 08-Jan-2020 11:00:05.860 INFO [update-backofficeIndex-CronJob::ServicelayerJob] (update-backofficeIndex-CronJob) [SolrIndexerJob] Finished indexer cronjob.\r",
"qualifier2" => "(update-backofficeIndex-CronJob)"
}
Based on this, I was expecting to get relevant fields from parsing the message and a few more fields from parsing the path. Yet, I none of the fields from "path" parsing are added.
What am I missing? How do I add site, version, node and file fields?
Creating an answer from a comment that solved the problem (hence community wiki).
Apparently it might be coming from the break_on_match option, which defaults to true. From the doc:
The first successful match by grok will result in the filter being finished. So if %{TOMCAT_LOG_1} or %{TOMCAT_LOG_2} match, it won't try to match the path field
Related
I'm working on syslogs that I receive through the network, but I receive them in a different format because of the fact it travels by the network.
So the real syslog is in a field named "message", and I'd like to make a filter to get the content of "message" and also filter him and send it to a file.
Actually this is how the data looks like :
{"#timestamp":"2020-10-12T14:17:16.944Z","message":"<190>key1=\"value1\" key2=\"value2\"","otherKey1":"otherValue1","otherKey2":"otherValue2"}
And here is my actual configuration file :
input{
file{
path => "/var/log/logstash/syslog.txt"
start_position => "beginning"
}
}
filter{
if ("" in [message]){
kv{
value_split => "="
}
mutate{
add_field => {"timestamp" => "%{date} %{time}"}
}
date{
match => ["timestamp", "ISO8601", "yyyy-MM-dd HH:mm:ss"]
target => "#timestamp"
locale => "fr"
}
mutate{
remove_field => ["date", "time", "timestamp"]
}
geoip{
source => "remip"
}
}
}
output{
file{
path => "/var/log/logstash/systest.txt"
}
}
Many thanks in advance for any help or advice !
For your situation, you need to jsut keep the fiels message in the event.
You can do this with the prune filter which enable a whitelist mechanism.
So add this in your filter :
prune {
whitelist_names => ["^message$"]
}
After this, only this field must be written in the file.
I'm currently discovering elastic search, kibana and logstash with docker. (Version 7.1.1) The three containers are running well.
I have some data files containing some lines like this one:
foo=bar type=alpha T=20180306174204527
My logstash.conf contains:
input {
file {
path => "/tmp/data/*.txt"
start_position => "beginning"
}
}
filter {
kv {
field_split => "\t"
value_split => "="
}
}
output {
elasticsearch { hosts => ["elasticsearch:9200"] }
stdout {
codec => rubydebug
}
}
I handle this data:
{
"host" => "07f3051a3bec",
"foo" => "bar",
"message" => "foo=bar\ttype=alpha\tT=20180306174204527",
"T" => "20180306174204527",
"#timestamp" => 2019-06-17T13:47:14.589Z,
"path" => "/tmp/data/ucL12018_03_06.txt",
"type" => "alpha"
"#version" => "1",
}
First step of job is done.
Now I want to add a filter to transform the value of the key T as a timestamp.
{
...
"T" => "2018-03-06T17:42:04.527Z",
"#timestamp" => 2019-06-17T13:47:14.589Z,
...
}
I do not know how to do it. I tried to add a second filter just after the kv filter, but nothing change when I add new files.
Add this filter after the kv filter:
date {
match => [ "T", "yyyyMMddHHmmssSSS" ]
target => "T"
}
The date filter will try to parse the field T using the provided pattern to create a date, which will be written to the T field (by default it overwrite the #timestamp field).
I am using Logstash 1.4.2 and I have the following conf file.
I would expect to see in Kibana in the "Fields" section on the left the options for "received_at" and "received_from" and "description", but I don't.
I see
#timestamp
#version
_id
_index
_type host path
I do see in the _source section on the right side the following...
received_at:2015-05-11 14:19:40 UTC received_from:PGP02 descriptionError1!
So home come these don't appear in the list of "Popular Fields"?
I'd like to filter the right side to not show EVERY field in the _source section on the right. Excuse the redaction blocks.
input
{
file {
path => "C:/ServerErrlogs/office-log.txt"
start_position => "beginning"
sincedb_path => "c:/tools/logstash-1.4.2/office-log.sincedb"
tags => ["product_qa", "office"]
}
file {
path => "C:/ServerErrlogs/dis-log.txt"
start_position => "beginning"
sincedb_path => "c:/tools/logstash-1.4.2/dis-log.sincedb"
tags => ["product_qa", "dist"]
}
}
filter {
grok {
match => ["path","%{GREEDYDATA}/%{GREEDYDATA:filename}\.log"]
match => [ "message", "%{TIMESTAMP_ISO8601:logdate}: %{LOGLEVEL:loglevel} (?<logmessage>.*)" ]
add_field => [ "received_at", "%{#timestamp}" ]
add_field => [ "received_from", "%{host}" ]
}
date {
match => [ "logdate", "ISO8601", "yyyy-MM-dd HH:mm:ss,SSSSSSSSS" ]
}
#logdate is now parsed into timestamp, remove original log message too
mutate {
remove_field => ['message', 'logdate' ]
add_field => [ "description", "Error1!" ]
}
}
output {
elasticsearch {
protocol => "http"
host => "0.0.0.x"
}
}
Update:
I have tired searching with a query like:
tags: data AND loglevel : INFO
then saving this query, and then reloading the page.
But still I don't see loglevel appearing as 'Popular Fields'
If the fields don't appear on the left side, it's probably a kibana caching problem. Go to Settings->Indices, select your index, and click the orange Refresh button.
I had the same issue with logstash not adding fields and after quite a lot of searching and testing other things, suddenly I had the solution (but I´am using the logstash-logback-encoder, so I have JSON already - if you don´t, then you need to transform things into JSON in the logstash "input"-phase).
I added a "json" plugin-filter, that did the magic for me:
filter {
json {
source => "message"
}
}
When i defined the pattern for parsing apache tomcat and application log files in logstash we are getting the following error .
Sample log file is :
2014-08-20 12:35:26,037 INFO [routerMessageListener-74] PoolableRuleEngineFactory Executing the rule -->ECE Tagging Rule
config file is :
filter{
grok{
type => "log4j"
#pattern => "%{TIMESTAMP_ISO8601:logdate} %{LOGLEVEL:severity} \[\w+\[% {GREEDYDATA:thread},.*\]\] %{JAVACLASS:class} - %{GREEDYDATA:message}"
pattern => "%{TIMESTAMP_ISO8601:logdate}"
#add_tag => [ "level_%{level}" ]
}
date {
match => [ "logdate", "YYYY-MM-dd HH:mm:ss,SSS"]
}
}
Unknown setting 'timestamp' for date {:level=>:error}
Your post does not show a setting 'timestamp' for your date filter. I suspect you had started with the example here which used timestamp setting that used to be in older versions of date filter. You correctly fixed it for newer version of logstash to use match setting but perhaps had not saved your change. I have no problems using above filter with logstash-1.5.3.
Here is my complete config file. Note I am still testing it but it seems to be working to import a JBoss log with Log4J log messages imported from an existing log file.
input {
tcp {
type => "log4j"
port => 4560
}
stdin {
type => "log4j"
}
}
filter {
grok{
type => "log4j"
#pattern => "%{TIMESTAMP_ISO8601:logdate} %{LOGLEVEL:severity} \[\w+\[%{GREEDYDATA:thread},.*\]\] %{JAVACLASS:class} - %GREEDYDATA:message}"
pattern => "%{TIMESTAMP_ISO8601:logdate}"
#add_tag => [ "level_%{level}" ]
}
date {
type => "log4j"
match => [ "logdate", "YYYY-MM-dd HH:mm:ss,SSS"]
exclude_tags => "_grokparsefailure"
}
# Catches normal space indented type things, probably could be removed b/c the other multiline should do everythign we need
multiline {
type => "log4j"
tags => ["_grokparsefailure"] # exclude anything we already handled
pattern => ".*"
what => "previous"
add_tag => "notgrok"
}
}
output {
gelf {
host => "localhost"
custom_fields => ["environment", "PROD", "service", "BestServiceInTheWorld"]
}
# Print each event to stdout.
stdout {
codec => json
}
}
I am shipping Glassfish 4 logfiles with Logstash to an ElasticSearch sink. How can I remove with Logstash the trailing newline from a message field?
My event looks like this:
{
"#timestamp" => "2013-11-21T13:29:33.081Z",
"message" => "[2013-11-21T13:29:32.577+0000] [glassfish 4.0] [INFO] [] [javax.resourceadapter.mqjmsra.lifecycle] [tid: _ThreadID=142 _ThreadName=Thread-43] [timeMillis: 1385040572577] [levelValue: 800] [[\n MQJMSRA_RA1101: GlassFish MQ JMS Resource Adapter stopped.]]\n",
"#version" => "1",
"tags" => ["multiline", "date_filtered"],
"host" => "myhost",
"path" => "../server.log"
}
A second solution is using the mutate filter of Logstash. It allows you to strip the value of a field.
filter {
# Remove leading and trailing whitspaces (including newline etc. etc.)
mutate {
strip => "message"
}
}
You have to use the multiline filter with the correct pattern, to tell logstash, that every line with precending whitespace belongs to the line before. Add this lines to your conf file.
filter{
...
multiline {
type => "gflogs"
pattern => "\[\#\|\d{4}"
negate => true
what => "previous"
}
...
}
You can also include grok plugin to handle timestamp and filter irregular lines from beeing indexed.
See complete stack with single logstash instance on same machine
input {
stdin {
type => "stdin-type"
}
file {
path => "/path/to/glassfish/logs/*.log"
type => "gflogs"
}
}
filter{
multiline {
type => "gflogs"
pattern => "\[\#\|\d{4}"
negate => true
what => "previous"
}
grok {
type => "gflogs"
pattern => "(?m)\[\#\|%{TIMESTAMP_ISO8601:timestamp}\|%{LOGLEVEL:loglevel}\|%{DATA:server_version}\|%{JAVACLASS:category}\|%{DATA:kv}\|%{DATA:message}\|\#\]"
named_captures_only => true
singles => true
}
date {
type => "gflogs"
match => [ "timestamp", "ISO8601" ]
}
kv {
type => "gflogs"
exclude_tags => "_grokparsefailure"
source => "kv"
field_split => ";"
value_split => "="
}
}
output {
stdout { codec => rubydebug }
elasticsearch { embedded => true }
}
This worked for me. Pleas look also this post on logstash-usergroup. I can also advice the great and up to date logstash book. Its also a good way to support the work of the logstash author.
Hope to see you on any JUG-Berlin Event!