The necessary part of the Filebeat config:
filebeat.inputs:
- type: log
paths:
- C:\Program Files\Filebeat\test_logs\*.txt
After sending to logstash and elasticsearch, the following field appears:
"log": {
"offset": 117,
"file": {
"path": "C:\\Program Files\\Filebeat\\test_logs\\20200804_0929_logui.txt"
}
I would like to get the folder name / file name as separate fields, but don't know how.
Already tried something like this:
grok {
match => { 'path' => '(C:\\Program Files\\Filebeat\\test_logs\\)%{GREEDYDATA:filename}\.txt' }
}
Unfortunately, this does not work.
Please help me figure it out.
Try with the dissect filter, much easier:
filter {
dissect {
mapping => {
"[log][file][path]" => "C:\\Program Files\\Filebeat\\test_logs\\%{[log][file][name]}.txt"
}
}
}
Related
I am having a query related to grok processor.
For example this is my message filed
{
"message":"agentId:agent003"
}
I want to Grok this and my output should me something like this
{
"message":"agentId:agent003",
"agentId":"agent003"
}
Could some one help me on this how to achieve this? If i am able to do it for one field i can manage for rest of my fields. Thanks in advance.
This is the pipeline i have created in elasticsearch
PUT _ingest/pipeline/dissectpipeline
{
"description" : "split message content",
"processors": [
{
"dissect": {
"field": "message",
"pattern" : "%{apm_application_message.agentId}:%{apm_application_message.agentId}"
}
}
]
}
Central management added filebeat module other config
- pipeline:
if: ctx.first_char == '{'
name: '{< IngestPipeline "dissectpipeline" >}'
There is no error with my filebeat it's working fine but i am unable to find any field like apm_application_message.agentId in index.
How to make sure my pipeline working or not. Also if i am doing something wrong please let me know.
Instead of grok I'd suggest using the dissect filter instead with, which is more intuitive and easier to use.
dissect {
mapping => {
"message" => "%{?agentId}:%{&agentId}"
}
}
If you're using Filebeat, there is also the possibility to use the dissect processor:
processors:
- dissect:
tokenizer: "%{?agentId}:%{&agentId}"
field: "message"
target_prefix: ""
I have logs in the format:
2018-09-17 15:24:34;Count of files in error folder in;C:\Scripts\FOLDER\SUBFOLDER\error;1
I want to put in a separate field the path to the folder and the number after.
Like
dirTEST=C:\Scripts\FOLDER\SUBFOLDER\
count.of.error.filesTEST=1
or
dir=C:\Scripts\FOLDER\SUBFOLDER\
count.of.error.files=1
I use for this grok pattern in logstash config:
if "TestLogs" in [tags] {
grok{
match => { "message" => "%{DATE:date_in_log}%{SPACE}%{TIME:time.in.log};%{DATA:message.text.log};%{WINPATH:dir};%{INT:count.of.error.files}" }
add_field => { "dirTEST" => "%{dir}" }
add_field => { "count.of.error.filesTEST" => "%{count.of.error.files}" }
}
}
No errors in logstash logs.
But in the Kibana I get the usual log without new fields.
A couple of notes here. First of all, it must be said that the solution seems to be doing what you expect, so probably the problem is that your Index Pattern has not been updated with the new fields. To do so in Kibana you can go to Management -> Kibana -> Index Patterns and refresh the field list in the upper right corner (Next to the delete Index Pattern button).
Second is that you must take into account that using points to separate the terms makes the structured data look like this:
{
"date_in_log": "18-09-17",
"count": {
"of": {
"error": {
"files": "1"
}
}
},
"time": {
"in": {
"log": "15:24:34"
}
},
"message": {
"text": {
"log": "Count of files in error folder in"
}
},
"dir": "C:\\Scripts\\FOLDER\\SUBFOLDER\\error"
}
I don't know if this is how you want your data to be represented, but maybe you should consider other solution changing the naming of the fields in the grok pattern.
I am using logstash to feed logs into ElasticSearch.
I am configuring logstash output as:
input {
file {
path => "/tmp/foo.log"
codec =>
plain {
format => "%{message}"
}
}
}
output {
elasticsearch {
#host => localhost
codec => json {}
manage_template => false
index => "4glogs"
}
}
I notice that as soon as I start logstash it creates a mapping ( logs ) in ES as below.
{
"4glogs": {
"mappings": {
"logs": {
"properties": {
"#timestamp": {
"type": "date",
"format": "dateOptionalTime"
},
"#version": {
"type": "string"
},
"message": {
"type": "string"
}
}
}
}
}
}
How can I prevent logstash from creating this mapping ?
UPDATE:
I have now resolved this error too. "object mapping for [logs] tried to parse as object, but got EOF, has a concrete value been provided to it?"
As John Petrone has stated below, once you define a mapping, you have to ensure that your documents conform to the mapping. In my case, I had defined a mapping of "type: nested" but the output from logstash was a string.
So I removed all codecs ( whether json or plain ) from my logstash config and that allowed the json document to pass through without changes.
Here is my new logstash config ( with some additional filters for multiline logs ).
input {
kafka {
zk_connect => "localhost:2181"
group_id => "logstash_group"
topic_id => "platform-logger"
reset_beginning => false
consumer_threads => 1
queue_size => 2000
consumer_id => "logstash-1"
fetch_message_max_bytes => 1048576
}
file {
path => "/tmp/foo.log"
}
}
filter {
multiline {
pattern => "^\s"
what => "previous"
}
multiline {
pattern => "[0-9]+$"
what => "previous"
}
multiline {
pattern => "^$"
what => "previous"
}
mutate{
remove_field => ["kafka"]
remove_field => ["#version"]
remove_field => ["#timestamp"]
remove_tag => ["multiline"]
}
}
output {
elasticsearch {
manage_template => false
index => "4glogs"
}
}
You will need a mapping to store data in Elasticsearch and to search on it - that's how ES knows how to index and search those content types. You can either let logstash create it dynamically or you can prevent it from doing so and instead create it manually.
Keep in mind you cannot change existing mappings (although you can add to them). So first off you will need to delete the existing index. You would then modify your settings to prevent dynamic mapping creation. At the same time you will want to create your own mapping.
For example, this will create the mappings for the logstash data but also restrict any dynamic mapping creation via "strict":
$ curl -XPUT 'http://localhost:9200/4glogs/logs/_mapping' -d '
{
"logs" : {
"dynamic": "strict",
"properties" : {
"#timestamp": {
"type": "date",
"format": "dateOptionalTime"
},
"#version": {
"type": "string"
},
"message": {
"type": "string"
}
}
}
}
'
Keep in mind that the index name "4glogs" and the type "logs" need to match what is coming from logstash.
For my production systems I generally prefer to turn off dynamic mapping as it avoids accidental mapping creation.
The following links should be useful if you want to make adjustments to your dynamic mappings:
https://www.elastic.co/guide/en/elasticsearch/guide/current/dynamic-mapping.html
http://www.elasticsearch.org/guide/en/elasticsearch/guide/current/custom-dynamic-mapping.html
http://www.elasticsearch.org/guide/en/elasticsearch/guide/current/dynamic-mapping.html
logs in this case is the index_type. If you don't want to create it as logs, specify some other index_type on your elasticsearch element. Every record in elasticsearch is required to have an index and a type. Logstash defaults to logs if you haven't specified it.
There's always an implicit mapping created when you insert records into Elasticsearch, so you can't prevent it from being created. You can create the mapping yourself before you insert anything (via say a template mapping).
The setting manage_template of false just prevents it from creating the template mapping for the index you've specified. You can delete the existing template if it's already been created by using something like curl -XDELETE http://localhost:9200/_template/logstash?pretty
Index templates can help you. Please see this jira for more details. You can create index templates with wildcard support to match an index name and put your default mappings.
I am new to logstash !
I configured and everything is working fine - so far.
My log files comes as:
2014-04-27 16:24:43 DEBUG b45e66 T+561 10.31.166.155 /v1/XXX<!session> XXX requested for category_ids: only_pro: XXX_ids:14525
If i use the following conf file:
input { file { path => "/logs/*_log" }} output { elasticsearch { host => localhost } }
It will place the following in the ES:
{
_index: "logstash-2014.04.28",
_type: "logs",
_id: "WIoUbIvCQOqnz4tMZzMohg",
_score: 1,
_source: {
message: "2014-04-27 16:24:43 DEBUG b45e66 T+561 10.31.166.155 This is my log !",
#version: "1",
#timestamp: "2014-04-28T14:25:52.165Z",
host: "MYCOMPUTER",
path: "\logs\xxx_app.log"
}
}
How do i take the string in my log so the entire text wont be at _source.message ?
e.g: I wish i could parse it to something like:
{
_index: "logstash-2014.04.28",
_type: "logs",
_id: "WIoUbIvCQOqnz4tMZzMohg",
_score: 1,
_source: {
logLevel: "DEBUG",
messageId: "b45e66",
sendFrom: "10.31.166.155",
logTimestamp: "2014-04-27 16:24:43",
message: "This is my log !",
#version: "1",
#timestamp: "2014-04-28T14:25:52.165Z",
host: "MYCOMPUTER",
path: "\logs\xxx_app.log"
}
}
You need to parse it through a filter, e.g. the grok filter. This can be quite a bit tricky, so be patient and try, try, try. And have a look at the predefined patterns, too.
A start for your message would be
%{DATESTAMP} %{WORD:logLevel} %{WORD:messageId} %{GREEDYDATA:someString} %{IP}
The grokdebugger is an extremely helpful tool for your assistance.
When done, your config should look like
input {
stdin {}
}
filter {
grok {
match => { "message" => "%{DATESTAMP} %{WORD:logLevel} %{WORD:messageId} %{GREEDYDATA:someString} %{IP}" }
}
}
output {
elasticsearch { host => localhost }
}
I am attempting to filter a sql server error log using Logstash and grok. Logstash 1.3.3 is running as a windows service using NSSM and JRE6. My config file is below
input {
file {
path => "c:\program files\microsoft sql server\mssql10_50.mssqlserver\mssql\log\errorlog"
type => SQLServerLog
start_position => "beginning"
codec => plain {
charset => "UTF-8"
}
}
}
filter {
grok {
type => "SQLServerLog"
match => [ "message", "%{DATESTAMP:DateStamp} %{WORD:Process} %{GREEDYDATA:Message}" ]
named_captures_only => true
singles => true
remove_tag => [ "_grokparsefailure" ]
add_tag => [ "GrokFilterWorked" ]
}
}
output {
stdout {
codec => rubydebug
}
elasticsearch {
embedded => true
}
}
A sample of the log file content is below.
2014-01-31 00:00:38.73 spid21s This instance of SQL Server has been using a process ID of 14632 since 28/01/2014 13:09:24 (local) 28/01/2014 13:09:24 (UTC). This is an informational message only; no user action is required.
Events are visible in Kibana but when collapsed the message is displayed like {"message":"\u00002\u00000\u00001\u00004...
When expanded the table view shows the event message as text instead. The raw data for the event when viewed is as below.
{
"_index": "logstash-2014.01.31",
"_type": "SQLServerLog",
"_id": "NpvKSf4eTFSHkBdoG3zw6g",
"_score": null,
"_source": {
"message": "\u00002\u00000\u00001\u00004\u0000-\u00000\u00001\u0000-\u00003\u00000\u0000 \u00000\u00000\u0000:\u00000\u00000\u0000:\u00002\u00001\u0000.\u00006\u00004\u0000 \u0000s\u0000p\u0000i\u0000d\u00002\u00004\u0000s\u0000 \u0000 \u0000 \u0000 \u0000 \u0000T\u0000h\u0000i\u0000s\u0000 \u0000i\u0000n\u0000s\u0000t\u0000a\u0000n\u0000c\u0000e\u0000 \u0000o\u0000f\u0000 \u0000S\u0000Q\u0000L\u0000 \u0000S\u0000e\u0000r\u0000v\u0000e\u0000r\u0000 \u0000h\u0000a\u0000s\u0000 \u0000b\u0000e\u0000e\u0000n\u0000 \u0000u\u0000s\u0000i\u0000n\u0000g\u0000 \u0000a\u0000 \u0000p\u0000r\u0000o\u0000c\u0000e\u0000s\u0000s\u0000 \u0000I\u0000D\u0000 \u0000o\u0000f\u0000 \u00001\u00004\u00006\u00003\u00002\u0000 \u0000s\u0000i\u0000n\u0000c\u0000e\u0000 \u00002\u00008\u0000/\u00000\u00001\u0000/\u00002\u00000\u00001\u00004\u0000 \u00001\u00003\u0000:\u00000\u00009\u0000:\u00002\u00004\u0000 \u0000(\u0000l\u0000o\u0000c\u0000a\u0000l\u0000)\u0000 \u00002\u00008\u0000/\u00000\u00001\u0000/\u00002\u00000\u00001\u00004\u0000 \u00001\u00003\u0000:\u00000\u00009\u0000:\u00002\u00004\u0000 \u0000(\u0000U\u0000T\u0000C\u0000)\u0000.\u0000 \u0000T\u0000h\u0000i\u0000s\u0000 \u0000i\u0000s\u0000 \u0000a\u0000n\u0000 \u0000i\u0000n\u0000f\u0000o\u0000r\u0000m\u0000a\u0000t\u0000i\u0000o\u0000n\u0000a\u0000l\u0000 \u0000m\u0000e\u0000s\u0000s\u0000a\u0000g\u0000e\u0000 \u0000o\u0000n\u0000l\u0000y\u0000;\u0000 \u0000n\u0000o\u0000 \u0000u\u0000s\u0000e\u0000r\u0000 \u0000a\u0000c\u0000t\u0000i\u0000o\u0000n\u0000 \u0000i\u0000s\u0000 \u0000r\u0000e\u0000q\u0000u\u0000i\u0000r\u0000e\u0000d\u0000.\u0000\r\u0000",
"#version": "1",
"#timestamp": "2014-01-31T08:55:03.373Z",
"type": "SQLServerLog",
"host": "MyMachineName",
"path": "C:\\Program Files\\Microsoft SQL Server\\MSSQL10_50.MSSQLSERVER\\MSSQL\\Log\\ERRORLOG"
},
"sort": [
1391158503373,
1391158503373
]
}
I am unsure whether the encoding of the message is preventing Grok from filtering it properly.
I would like to be able to filter these events using Grok and am unsure how to proceed.
Further info:
I created a copy of the log file as UTF-8 and the filter worked fine. So it's definitely a charset issue. I guess I need to determine what the correct charset for the log file is and it should work.
So I had the same issue with reading SQL Server log file.
Then I realised that SQL Server will log the same entries to the Windows Event Log, which logstash supports as an input.
SQL Server logs entries with 'MSSQLSERVER' source on my systems. You will need the logstash-contrib package, simply extract the contents over base logstash files on your Windows box (wherever you run logstash to collect data).
I have my logstash agent configured to simply ship the entries to another logstash instance on a linux box that does some other stuff not relevant to this question ;)
Example logstash.conf:
input {
eventlog {
type => "Win32-EventLog"
logfile => ["Application", "Security", "System"]
}
}
filter {
if "MSSQLSERVER" in [SourceName] {
# Track logon failures
grok {
match => ["Message", "Login failed for user '%{DATA:username}'\..+CLIENT: %{IP:client_ip}"]
}
dns {
action => "append"
resolve => "client_ip"
}
}
}
output {
stdout { codec => rubydebug }
tcp {
host => "another-logstash-instance.local"
port => "5115"
codec => "json_lines"
}
}
Hope this helps.