My logs start with this:
[2017-01-12 01:02:28.975] [some other stuff] more logs. this is multiline
I'd like to match this log and all the lines below it - ending the log entry when I see a new timestamp like the one above.
My input looks like:
input {
file {
type => "my-app"
path => "/log/application.log"
start_position => "beginning"
sincedb_path => "/tmp/.sincedb"
codec => multiline {
pattern => "^%[{TIMESTAMP_ISO8601}]"
what => "previous"
negate => true
}
}
}
This doesn't appear to be matching. I know my date is in the format of {yyyy-MM-dd HH:mm:ss.SSS}. I just don't understand how to turn that into a logstash pattern.
Thanks
Try below Pattern in your filter
match => {"message" => "%{DATA:date} %{TIME:timestamp} *%{GREEDYDATA:message}"}
Related
I've tried to parse it using the json, json_lines and even the multiline input plugin, yet to no avail. The multiline works well on my local machine but doesn't seem to work on my s3 and ec2 instance.
How would I write the grok filter to parse this?
This is what my JSON file looks like
{
"sourceId":"94:54:93:3B:81:6F1",
"machineId":"c1VR21A0GoCBgU6EMJ78d3CL",
"columnsCSV":"timestamp,state,0001,0002,0003,0004",
"tenantId":"iugcp",
"valuesCSV":"1557920277890,1,98.66,0.07,0.1,0.17 ",
"timestamp":"2019-05-15T11:37:57.890Z"
}
This is my config -
input {
file{
codec => multiline
{
pattern => '^\{'
negate => true
what => previous
}
path => "/home/*myusername*/Desktop/data/*.json"
start_position => "beginning"
sincedb_path => "/dev/null"
}
}
filter {
mutate
{
replace => [ "message", "%{message}}" ]
gsub => [ 'message','\n','']
}
if [message] =~ /^{.*}$/
{
json { source => message }
}
}
//Output tag is correct, haven't included it here
The results I get is just the json file present in the "message" field.
What I wanted is for every json tag, there should be a separate field in the document.
Logstash multiline codec ignore my last event (line) until send next package of logs.
My logstash.conf:
input {
}
http {
port => "5001"
codec => multiline {
pattern => "^\[%{TIMESTAMP_ISO8601}\]"
negate => true
what => previous
auto_flush_interval => 15
}
}
}
filter{
grok {
match => { "message" => "(?m)\[%{TIMESTAMP_ISO8601:timestamp}\]\s\<%{LOGLEVEL:log-level}\>\s\[%{WORD:component}\]\s%{GREEDYDATA:log-message}"
}
}
output {
elasticsearch {
hosts => "elasticsearch:9200"
index => "%{+YYYY-MM-dd}"
}
}
Moreover solution with auto_flush_interval don't work.
For example:
input using Postman:
[2017-07-11 22:32:12.345] [KCU] Component initializing
Exception in thread "main" java.lang.NullPointerException
at com.example.myproject.Book.getTitle(Book.java:16)
[2017-07-11 22:32:16.345] [KCU] Return with status 1
output - only one event (should be two):
[2017-07-11 22:32:12.345] [KCU] Component initializing
Exception in thread "main" java.lang.NullPointerException
at com.example.myproject.Book.getTitle(Book.java:16)
I need this last line.
Question:
Am I doing something wrong or there are problems with multiline codec? - How to fix this?
I'm afraid you're using the multiline codec wrong. Let's take a look at your configuration:
codec => multiline {
pattern => "^\[%{TIMESTAMP_ISO8601}\]"
negate => true
what => previous
}
It says if a logline does not (negate => true) start with a ISO timestamp (pattern) append it to the previous log line (what => previous).
But the logline you're missing starts with a ISO timestamp:
[2017-07-11 22:32:16.345] [KCU] Return with status 1
So it will not be appended to the previous log lines but instead create a new document in Elasticsearch.
Logstash v2.4.1.
I'm sending JSON formatted logs to my Logstash server via UDP packet. The logs look something similar to this.
{
"key1":"value1",
"key2":"value2",
"msg":"2017-03-02 INFO [com.company.app] Hello world"
}
This is my output filter
output {
stdout {
codec => rubydebug
}
file {
path => "/var/log/trm/debug.log"
codec => line { format => "%{msg}" }
}
}
The rubydebug output codec shows the log like this
{
"message" => {\"key1\":\"value1\", "key2\":\"value2\", \"msg\":\"2017-03-02 INFO [com.company.app] Hello world\"
}
and the file output filter also shows the JSON log correctly, like this
{"key1":"value1", "key2":"value2", "msg":"2017-03-02 INFO [com.company.app] Hello world"}
When I use the JSON code in the input filter, I get _jsonparsefailures from Logstash on "some" logs, even though different online JSON parsers parse the JSON correctly, meaning my logs are in a valid JSON format.
input {
udp => {
port => 5555
codec => json
}
}
Therefore, I'm trying to use the json filter instead, like this
filter {
json => {
source => "message"
}
}
Using the json filter, how can I extract the "key1", "key2", and the "msg" fields in the "message?"
I tried this to no avail, that is, I don't see the "key1" field in my rubydebug output.
filter {
json => {
source => "message"
add_field => {
"key1" => "%{[message][key1]}"
}
}
}
I would suggest you to start with one of the two configuration below (I use the multiline codec to concatenate the input into a json, because otherwise logstash will read line by line, and one line of a json is not a valid json), then either filter the json, or use the json codec, and then output it to wherever it is needed. You will still have some configuration to do, but I believe it might help you to get started:
input{
file {
path => "/an/absolute/path/tt2.json" #It really has to be absolute!
start_position => beginning
sincedb_path => "/another/absolute/path" #Not mandatory, just for ease of testing
codec => multiline{
pattern => "\n"
what => "next"
}
}
}
filter{
json {
source => "multiline"
}
}
output {
file {
path => "data/log/trm/debug.log"
}
stdout{codec => json}
}
Second possibility:
input{
file {
path => "/an/absolute/path/tt2.json" #It really has to be absolute!
start_position => beginning
sincedb_path => "/another/absolute/path" #Not mandatory, just for ease of testing
codec => multiline{
pattern => "\n"
what => "next"
}
codec => json{}
}
}
output {
file {
path => "data/log/trm/debug.log"
}
stdout{codec => json}
}
Edit With the udp input I guess it should be (not tested):
input {
udp => {
port => 5555
codec => multiline{ #not tested this part
pattern => "^}"
what => "previous"
}
codec => json{}
}
}
After parsing logs I am find there are some new lines at the end of the message
Sample message
ts:2016-04-26 05-02-16-018
CDT|ll:TRACE|tid:10000.140|scf:xxxxxxxxxxxxxxxxxxxxxxxxxxx.pc|mn:null|fn:xxxxxxxxxxxxxxxxxxxxxxxxxxx|ln:749|auid:xxxxxxxxxxxxxxxxxxxxxxxxxxx|eid:xxx.xxx.xxx.xxx-58261618-1-1461664935955-139|cid:900009865|ml:null|mid:-99|uip:xxx.xxx.xxx.xxx|hip:xxx.xxx.xxx.xxx|pli:null|msg:
xxxxxxxxxxxxxxxxxxxxxxxxxxx|pl: xxxxxxxxxxxxxxxxxxxxxxxxxxx
TAKE 1 xxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxx
xxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxx
I am using the regex pattern below as suggested below as answers
ts:(?(([0-9]+)-)+ ([0-9]+-)+ [A-Z]+)\|ll:%{WORD:ll}\|tid:%{NUMBER:tid}\|scf:%{DATA:scf}\|mn:%{WORD:mn}\|fn:%{WORD:fn}\|ln:%{WORD:ln}\|auid:%{WORD:auid}\|eid:%{DATA:eid}\|cid:%{WORD:cid}\|ml:%{WORD:ml}\|mid:%{NUMBER:mid}\|uip:%{DATA:uip}\|hip:%{DATA:hip}\|pli:%{WORD:pli}\|\smsg:%{GREEDYDATA:msg}(\|pl:(?(.|\r|\n)))
But unfortunately it is not working properly when the last part of the log is not present
ts:2016-04-26 05-02-16-018
CDT|ll:TRACE|tid:10000.140|scf:xxxxxxxxxxxxxxxxxxxxxxxxxxx.pc|mn:null|fn:xxxxxxxxxxxxxxxxxxxxxxxxxxx|ln:749|auid:xxxxxxxxxxxxxxxxxxxxxxxxxxx|eid:xxx.xxx.xxx.xxx-58261618-1-1461664935955-139|cid:900009865|ml:null|mid:-99|uip:xxx.xxx.xxx.xxx|hip:xxx.xxx.xxx.xxx
What should be the correct pattern?
-------------------Previous Question --------------------------------------
I am trying to parse log line such as this one.
ts:2016-04-26 05-02-16-018 CDT|ll:TRACE|tid:10000.140|scf:xxxxxxxxxxxxxxxxxxxxxxxxxxx.pc|mn:null|fn:xxxxxxxxxxxxxxxxxxxxxxxxxxx|ln:749|auid:xxxxxxxxxxxxxxxxxxxxxxxxxxx|eid:xxx.xxx.xxx.xxx-58261618-1-1461664935955-139|cid:900009865|ml:null|mid:-99|uip:xxx.xxx.xxx.xxx|hip:xxx.xxx.xxx.xxx|pli:null|msg: xxxxxxxxxxxxxxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxxxxxxxx
Below is my logstash filter
filter {
grok {
match => ["mesage", "ts:(?<date>(([0-9]+)-*)+ ([0-9]+-*)+ [A-Z]+)\|ll:%{WORD:ll}\|tid:%{WORD:tid}\|scf:%{WORD:scf}\|mn:%{WORD:mn}\|fn:%{WORD:fn}\|ln:%{WORD:ln}\|auid:%{WORD:auid}\|eid:%{WORD:eid}\|cid:%{WORD:cid}\|ml:%{WORD:ml}\|mid:%{WORD:mid}\|uip:%{WORD:uip}\|hip:%{WORD:hip}\|pli:%{WORD:pli}\|msg:%{WORD:msg}"]
}
date {
match => ["ts","yyyy-MM-dd HH-mm-ss-SSS ZZZ"]
target => "#timestamp"
}
}
I am getting "_grokparsefailure"
I have tested the configuration from #HAL, there was a few things to change:
In the grok filter mesage => message
In the date filter ts => date so the date parsing is on the right field
The CDT is a time zone name, it is captured by z in the date syntax.
So the right configuration would look like this :
filter{
grok {
match => ["message", "ts:(?<date>(([0-9]+)-*)+ ([0-9]+-*)+ [A-Z]+)\|ll:%{WORD:ll}\|tid:%{NUMBER:tid}\|scf:%{DATA:scf}\|mn:%{WORD:mn}\|fn:%{WORD:fn}\|ln:%{WORD:ln}\|auid:%{WORD:auid}\|eid:%{DATA:eid}\|cid:%{WORD:cid}\|ml:%{WORD:ml}\|mid:%{NUMBER:mid}\|uip:%{DATA:uip}\|hip:%{DATA:hip}\|pli:%{WORD:pli}\|\s*msg:%{GREEDYDATA:msg}"]
}
date {
match => ["date","yyyy-MM-dd HH-mm-ss-SSS z"]
target => "#timestamp"
}
}
Tried to parse your input via grokdebug with your expression but it failed to read out any fields. Managed to get it to work by changing the expression to:
ts:(?<date>(([0-9]+)-*)+ ([0-9]+-*)+ [A-Z]+)\|ll:%{WORD:ll}\|tid:%{NUMBER:tid}\|scf:%{DATA:scf}\|mn:%{WORD:mn}\|fn:%{WORD:fn}\|ln:%{WORD:ln}\|auid:%{WORD:auid}\|eid:%{DATA:eid}\|cid:%{WORD:cid}\|ml:%{WORD:ml}\|mid:%{NUMBER:mid}\|uip:%{DATA:uip}\|hip:%{DATA:hip}\|pli:%{WORD:pli}\|\s*msg:%{GREEDYDATA:msg}
I also think that you need to change the name of the column that logstash shall parse from mesage to message.
Also, the date parsing pattern should match the format of the date in the input. There is no timezone identity (ZZZ) in your input data (at least not in the example).
Something like this should work better (not tested though):
filter {
grok {
match => ["mesage", "ts:(?<date>(([0-9]+)-*)+ ([0-9]+-*)+ [A-Z]+)\|ll:%{WORD:ll}\|tid:%{NUMBER:tid}\|scf:%{DATA:scf}\|mn:%{WORD:mn}\|fn:%{WORD:fn}\|ln:%{WORD:ln}\|auid:%{WORD:auid}\|eid:%{DATA:eid}\|cid:%{WORD:cid}\|ml:%{WORD:ml}\|mid:%{NUMBER:mid}\|uip:%{DATA:uip}\|hip:%{DATA:hip}\|pli:%{WORD:pli}\|\s*msg:%{GREEDYDATA:msg}"]
}
date {
match => ["ts","yyyy-MM-dd HH-mm-ss-SSS"]
target => "#timestamp"
}
}
I am finding that logstash is not a fan of my filter. Would be nice to have a second set of eyes on it.
First - my log file - has the following entries with new lines for every volume.
/vol/vol0/ 298844160 6916836 291927324 2% /vol/vol0/
My config file looks as follows:
INPUT
file {
type => "testing"
path => "/opt/log_repo/ssh/netapp/*"
tags => "netapp"
start_position => "beginning"
sincedb_path => "/dev/null"
}
FILTER
if [type] == "testing" {
grok{
match => [ "#message", "{UNIXPATH:volume}%{SPACE}%{INT:total}%{SPACE}%{INT:used}%{SPACE}%{INT:avail}%{SPACE}%{PROG:cap}%{SPACE}%{UNIXPATH:vols}"]
}
}
OUTPUT
if [type] == "testing" {
elasticsearch {
action => "index"
hosts => ["http://localhost:9200"]
index => ["testing4-%{+YYYY.MM.dd}"]
}
}
When I run this it tells me it has a bad config file. If I change the filter to:
match => [ "#message", "{UNIXPATH:volume}" ]
It creates a new field called volume with the volume name. I am using the space component because the log is simply not consistent. Some volumes will have 4 spaces between the usable space and some will have more or less depending on the volume name and the size.
To get to this configuration i leveraged the following sites:
https://grokdebug.herokuapp.com/discover?#
http://grokconstructor.appspot.com/do/constructionstep
Still struggling on what I am missing.... Any help would be greatly appreciated.
UPDATE: After adding the recommendation below it still doesn't create a new field.
_index string
message string
type string
tags string
path string
#timestamp date
#version string
host string
_source _source
_id string
_type string
_score
Your pattern doesn't matrch the sample log for a very simple and silly reason - you are missing % at the start of your pattern. If you will add it then it works like a charm:
So the full filter is:
if [type] == "testing" {
grok{
match => [ "#message", "%{UNIXPATH:volume}%{SPACE}%{INT:total}%{SPACE}%{INT:used}%{SPACE}%{INT:avail}%{SPACE}%{PROG:cap}%{SPACE}%{UNIXPATH:vols}"]
}
}