Custom message filter for logstash - logstash-configuration

Log:
20160927-210452.110|I|cpeg-001.anc.com|test_app-1.5-0||~|f324dfsdf23sd23||org.springframework.orm.hibernate3.LocalSessionFactoryBean:777|Building new Hibernate SessionFactory
Filter
filter {
grok{
match => [ "message", "(?<date_time>[0-9.-]+)(?<delimiter>[|])%{WORD:method}(?<delimiter>[|])%{USERNAME:host_name}(?<delimiter>[|])%{USERNAME:app_name_version}(?<delimiter>[|~]+)%{USERNAME:session}(?<delimiter>[|]+)(?<class_name>.+)(?<delimiter>[|])(?<log_message>.+)" ]
remove_field => [ "delimiter" ]
}
}
Is there any way to skip '|' other than 'remove_field' ?

Why not hardcode the | inside your grok pattern? You can escape it using \|
Pattern:
(?<date_time>[0-9.-]+)\|%{WORD:method}\|%{USERNAME:host_name}\|%{USERNAME:app_name_version}\|\|\~\|%{USERNAME:session}\|\|%{DATA:classname}\|%{GREEDYDATA:logmessage}
Filter:
grok{
match => [ "message", "(?<date_time>[0-9.-]+)\|%{WORD:method}\|%{USERNAME:host_name}\|%{USERNAME:app_name_version}\|\|\~\|%{USERNAME:session}\|\|%{DATA:classname}\|%{GREEDYDATA:logmessage}" ]
}
It works. You can test this using the grok debugger.

Thanks,
I just created custom patten in ./custom_patterns/my_pattern:
CUST_DATETIME [0-9.-]+
SEPARATOR \|
MULTI_SEPARATOR \|\|\~\|
Updated the same in filter-match:
filter {
grok{
patterns_dir => "./custom_patterns"
match => [ "message", "%{CUST_DATETIME:orb_date}%{SEPARATOR}%{WORD:method}%{SEPARATOR}%{USERNAME:host_name}%{SEPARATOR}%{USERNAME:app_name_version}%{MULTI_SEPARATOR}%{USERNAME:session}%{SEPARATOR}%{DATA:class_name}%{SEPARATOR}%{GREEDYDATA:log_message}" ]
}
}

Related

How to get rid of extra field and values after grok transformation of input to json?

I have a logstash configuration that has as filter like this:
filter {
grok {
match => { "message" => "%{GREEDYDATA:inputs}"}
}
json {
source => "inputs"
target => "parsedJson"
remove_field => ["inputs"]
}
mutate {
add_field => {
"serviceName" => "%{[parsedJson][serviceName]}"
"thread_name" => "%{[parsedJson][thread_name]}"
}
}
}
It is working and I am getting field/variables names such as serviceName and thread_name in Elastic/Kibana. However, I am also getting some unwanted additional things, which I believe are due to the mutate:
unwanted grok output
as you can see, there are additional "parsedJson.[field_name]" fields that are repeated. I've played with the json and mutate portion, but I can't seem to figure this out. Any help appreciated, Thanks.
Use remove_field in mutate filter.
mutate {
remove_field => [ "[parsedJson][message]", "[parsedJson][serviceName]", "[parsedJson][thread_name]" ]
}

Logstash fail to create report index in elasticsearch

I have a log pattern and filter, please suggest for a match pattern
filter {
grok {
match => {"message" => "please suggest me a filter"}
add_field => [ "received_at", "%{#timestamp}" ]
add_field => [ "received_from", "%{host}" ]
}
}
2019-03-25 19:30:47 [ERROR] demo.efdms.controller.HomeController - [ip]:172.16.16.1[DeviceInfo]: [message]:Device is not added to inventory
This is one way to do it.
^%{TIMESTAMP_ISO8601:timestamp}\s*\[%{LOGLEVEL:loglevel}\]\s*%{IPORHOST:host}\s*-\s*\[ip\]:%{IPORHOST:ip}\[DeviceInfo\]:\s*\[message\]:%{GREEDYDATA:message}$
I don't think you need the "add_field", as you already have that info in other fields.

Error in grok filter which starting logstash

I have the following logstash conf file
input {
tcp {
port => 12345
codec => json
}
}
filter {
grok {
break_on_match => true
match => [
"message", "%{TIMESTAMP_ISO8601:timestamp} (verbose|info|debug) (hostd|vpxa)",
]
mutate {
add_tag => "esxi_verbose"
}
}
}
if "esxi_verbose" in [tags] {
drop{}
}
output {
stdout { codec => rubydebug }
elasticsearch {
hosts => ["localhost:9200"]
index => "logstash-%{+YYYY.MM.dd}"
}
}
I am trying to drop any verbose, debug, info messages. When I start logstash I get the error
[2019-03-03T16:53:11,731][ERROR][logstash.agent] Failed to execute action {:action=>LogStash::PipelineAction::Create/pipeline_id:main, :exception=>"LogStash::ConfigurationError", :message=>"Expected one of #, \", ', -, [, { at line 13, column 5 (byte 211) after filter {\n grok {\n break_on_match => true\n match => [\n \"message\", \"%{TIMESTAMP_ISO8601:timestamp} (verbose|info|debug) (hostd|vpxa)\",\n "
Can someone help me what I am doing wrong.
you have 3 issues in the config:
there's a comma at the end of the grok message line which is
redundant
the mutate is inside the grok filter, but it should come
after it
the 'if' statement should be inside the 'filter' section.
This is the updated and working config:
input {
tcp {
port => 12345
codec => json
}
}
filter {
grok {
break_on_match => true
match => [
"message", "%{TIMESTAMP_ISO8601:timestamp} (verbose|info|debug) (hostd|vpxa)"
]
}
mutate {
add_tag => "esxi_verbose"
}
if "esxi_verbose" in [tags] {
drop{}
}
}
output {
stdout { codec => rubydebug }
elasticsearch {
hosts => ["localhost:9200"]
index => "logstash-%{+YYYY.MM.dd}"
}
}

Match multiple patterns in Logstash?

I have two types of error messages in the below format:
[2017-05-25 01:00:00,647][ERROR][marvel.agent.exporter.local] local exporter [default_local] - failed to delete indices
RemoteTransportException[[data-0][10.0.0.8:9300][indices:admin/delete]]; nested: IndexNotFoundException[no such index];
[2017-05-18 00:00:06,339][DEBUG][action.admin.indices.create] [data-2] [data-may-2017,data-apr-2017,data-mar-2017] failed to create
[data-may-2017,data-apr-2017,data-mar-2017]
My logstash configuration is like this:
input {
file {
path => "D:\logstash\logstash-2.4.0\bin\logs.txt"
start_position => "beginning"
codec => multiline {
pattern => "^\[%{TIMESTAMP_ISO8601:TIMESTAMP}\]"
negate => true
what => "previous"
}
}
}
filter {
grok {
match => [ "message", "(?m)^\[%{TIMESTAMP_ISO8601:TIMESTAMP}\]\[%{LOGLEVEL:LEVEL}%{SPACE}\]\[%{DATA:ERRORTYPE}\]%{SPACE}\[%{DATA:SERVERNAME}\]%{SPACE}(?<ERRORMESSAGE>(.|\r|\n)*)", "message", "(?m)^\[%{TIMESTAMP_ISO8601:TIMESTAMP}\]\[%{LOGLEVEL:LEVEL}%{SPACE}\]\[%{DATA:ERRORTYPE}%{SPACE}\]%{SPACE}(?<ERRORMESSAGE>(.|\r|\n)*)"]
}
}
output {
stdout { codec => rubydebug }
}
For Both the logs it is taking only the first grok pattern. Why it is not taking the second one?
Seems my first grok pattern is matching all the logs , so thats why logstash is taking only the first pattern. So that i had used the below config with if condition which is working fine.
input {
file {
path => "D:\logstash\logstash-2.4.0\bin\logs.txt"
start_position => "beginning"
type => "log"
codec => multiline {
pattern => "^\[%{TIMESTAMP_ISO8601:TIMESTAMP}\]"
negate => true
what => "previous"
}
}
}
filter {
if [type] == "log" {
grok {
match => [ "message", "(?m)^\[%{TIMESTAMP_ISO8601:TIMESTAMP}\]\[%{LOGLEVEL:LEVEL}%{SPACE}\]\[%{DATA:ERRORTYPE}%{SPACE}\]%{SPACE}(?<ERRORMESSAGE>(.|\r|\n)*)"]
}
# DEBUG Logs
if "grokked" not in [tags] and "DEBUG" == [LEVEL] {
grok { match => [ "ERRORMESSAGE", "(?m)^\[%{DATA:SERVERNAME}\]" ]
add_tag => [ "Debug Logs", "grokked" ]
tag_on_failure => [ ]
}
}
}
}
output {
stdout { codec => rubydebug }
}
Your question was:
Why it is not taking the second one?
Answer is here:
filter {
grok {
match => [ "message", "(?m)^\[%{TIMESTAMP_ISO8601:TIMESTAMP}\]\[%{LOGLEVEL:LEVEL}%{SPACE}\]\[%{DATA:ERRORTYPE}\]%{SPACE}\[%{DATA:SERVERNAME}\]%{SPACE}(?<ERRORMESSAGE>(.|\r|\n)*)", "message", "(?m)^\[%{TIMESTAMP_ISO8601:TIMESTAMP}\]\[%{LOGLEVEL:LEVEL}%{SPACE}\]\[%{DATA:ERRORTYPE}%{SPACE}\]%{SPACE}(?<ERRORMESSAGE>(.|\r|\n)*)"]
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------^
}
}
You don't have to specify source multiple times, just once.
What you did now was:
["message", "pattern", "message", "pattern"]
While in reality it has to be:
["message", "pattern", "pattern", ..., "pattern"]

logstash: multiple logfiles with different pattern

We want to set up a server for logstash for a couple of different project in our company. Now I try to enable them in Kibana. My question is:
If I have different patterns of the logfiles, how can I build for them a filter?
example: logstash.conf:
input {
file {
type => "A"
path => "/home/logstash/A/*"
start_position => "beginning"
}
file {
type => "B"
path => "/home/logstash/B*"
start_position => "beginning"
}
}
filter {
multiline {
pattern => "^%{TIMESTAMP_ISO8601}"
negate => true
what => "previous"
}
grok {
type => A
match => [ "message", "%{TIMESTAMP_ISO8601:logdate} %{DATA:thread %{LOGLEVEL:level}\s*%{DATA:logger_name}\s*-\s*%{GREEDYDATA:log_text}"]
add_tag => [ "level_%{level}" ]
}
date {
match => ["logdate", "YYYY-MM-dd HH:mm:ss,SSS"]
}
grok {
type => B
match => [ any other pattern ...
}
}
output {
elasticsearch { embedded => true }
}
do I have to create for each project (A,B,C,...) an own filter, and what do I have to do, when I have for each project again different pattern of the logfiles?
You only need to create a filter for all projects.
For Logstash 1.3.3, You can use if statement to distinct each project grok. For example,
filter {
multiline {
pattern => "^%{TIMESTAMP_ISO8601}"
negate => true
what => "previous"
}
if [type] == "A" {
grok {
match => [ any other pattern ...
}
}
else if [type] == "B" {
grok {
match => [ any other pattern ...
}
}
}
Hope this can help you.

Resources