I am following filebeat->logstash->elasticsearch->kibana pipeline. filebeat successfully working and fetching the logs from the target file.
Logstash receiving the logs on input plugin and bypassing the filter plugin and sending over to the output plugin.
filebeat.yml
# ============================== Filebeat inputs ===============================
filebeat.inputs:
- type: log
enabled: true
paths:
- D:\serverslogs\ch5shdmtbuil100\TeamCity.BuildServer-logs\launcher.log
fields:
type: launcherlogs
- type: filestream
# Change to true to enable this input configuration.
enabled: false
# Paths that should be crawled and fetched. Glob based paths.
paths:
- /var/log/*.log
# =================================== Kibana ===================================
setup.kibana:
host: "localhost:5601"
# ------------------------------ Logstash Output -------------------------------
output.logstash:
# The Logstash hosts
hosts: ["localhost:5044"]
logstash.conf
input{
beats{
port => "5044"
}
}
filter {
if [fields][type] == "launcherlogs"{
grok {
match => {"message" =>%{YEAR:year}-%{MONTH:month}-%{MONTHDAY:day}%{DATA:loglevel}%{SPACE}-%{SPACE}%{DATA:class}%{SPACE}-%{GREEDYDATA:message}}
}
}
}
output{
elasticsearch{
hosts => ["http://localhost:9200"]
index => "poclogsindex"
}
}
I am able to send the logs on kibana but the grok debugger scripts is not rendering desired json on kibana.
The data json rendered on Kibana is not showing all the attributes passed in the script. Please advise.
Your grok pattern does not match the sample you gave in comment : several parts are missing (the brackets, the HH:mm:ss,SSS part and an additionnal space). Grok debuggers are your friends ;-)
Instead of :
%{YEAR:year}-%{MONTH:month}-%{MONTHDAY:day}%{DATA:loglevel}%{SPACE}-%{SPACE}%{DATA:class}%{SPACE}-%{GREEDYDATA:message}
Your pattern should be :
\[%{TIMESTAMP_ISO8601:timestamp}\] %{DATA:loglevel}%{SPACE}-%{SPACE}%{DATA:class}%{SPACE}-%{GREEDYDATA:message}
TIMESTAMP_ISO8601 matches this date/time.
Additionnally, I always doubled-quote the pattern, so the grok part would be :
grok {
match => {"message" => "\[%{TIMESTAMP_ISO8601:timestamp}\] %{DATA:loglevel}%{SPACE}-%{SPACE}%{DATA:class}%{SPACE}-%{GREEDYDATA:message}"}
}
I am using Filebeat to send a CSV file to Logstash and then up to Kibana, however I am getting a parsing error when the CSV file is picked up by Logstash.
This is the contents of the CSV file:
time version id score type
May 6, 2020 # 11:29:59.863 1 2 PPy_6XEBuZH417wO9uVe _doc
The logstash.conf:
input {
beats {
port => 5044
}
}
filter {
csv {
separator => ","
columns =>["time","version","id","index","score","type"]
}
}
output {
elasticsearch {
hosts => ["http://localhost:9200"]
index => "%{[#metadata][beat]}-%{[#metadata][version]}-%{+YYYY.MM.dd}"
}
}
Filebeat.yml:
filebeat.inputs:
# Each - is an input. Most options can be set at the input level, so
# you can use different inputs for various configurations.
# Below are the input specific configurations.
- type: log
# Change to true to enable this input configuration.
enabled: true
# Paths that should be crawled and fetched. Glob based paths.
paths:
- /etc/test/*.csv
#- c:\programdata\elasticsearch\logs\*
and the error in Logstash:
[2020-05-27T12:28:14,585][WARN ][logstash.filters.csv ][main] Error parsing csv {:field=>"message", :source=>"time,version,id,score,type,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,", :exception=>#<TypeError: wrong argument type String (expected LogStash::Timestamp)>}
[2020-05-27T12:28:14,586][WARN ][logstash.filters.csv ][main] Error parsing csv {:field=>"message", :source=>"\"May 6, 2020 # 11:29:59.863\",1,2,PPy_6XEBuZH417wO9uVe,_doc,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,", :exception=>#<TypeError: wrong argument type String (expected LogStash::Timestamp)>}
I do get some data in Kibana but not what I want to see.
I have managed to get it to work locally. the mistakes I have noticed so far were:
Using ES reserved fields like #timestamp, #version, and more.
The timestamp was not in ISO8601 format. It had an # sign in the middle.
Your filter set the separator to , but your CSV real separator is "\t".
According to the error you can see it is trying to also work on your titles line, I suggest you remove it from the CSV or use the skip_header option.
Below is the logstash.conf file I used:
input {
file {
path => "C:/work/elastic/logstash-6.5.0/config/test.csv"
start_position => "beginning"
}
}
filter {
csv {
separator => ","
columns =>["time","version","id","score","type"]
}
}
output {
elasticsearch {
hosts => ["localhost:9200"]
index => "csv-test"
}
}
The CSV file I used:
May 6 2020 11:29:59.863,1,PPy_6XEBuZH417wO9uVe,_doc
May 6 2020 11:29:59.863,1,PPy_6XEBuZH417wO9uVe,_doc
May 6 2020 11:29:59.863,1,PPy_6XEBuZH417wO9uVe,_doc
May 6 2020 11:29:59.863,1,PPy_6XEBuZH417wO9uVe,_doc
From my Kibana:
I am using logstash filter by grok and import log file into elasticsearch. I want to split my log file into 4 parts which are time, log-level, class(edited: sorry my bad, it is thread, not class) and message.
Below are a few lines of my log file generated by spring-boot using lob-back.xml
2019-09-17 16:25:01,116 INFO [main]: org.springframework.scheduling.concurrent.ThreadPoolTaskScheduler:initialize:Initializing ExecutorService 'taskScheduler'
2019-09-17 16:25:01,225 INFO [main]: org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor:initialize:Initializing ExecutorService 'applicationTaskExecutor'
The error I am getting is as follows:
[2019-09-17T16:25:01,425][ERROR][logstash.codecs.json] JSON parse error, original data now in message field {:error=>#<LogStash::Json::ParserError:
Unexpected character ('-' (code 45)): Expected space separating root-level values
"; line: 1, column: 6]>, :data=>"2019-09-17 16:25:01,043 INFO [main]: org.springframework.security.web.DefaultSecurityFilterChain:<init>:Creating filter chain: Ant [pattern='/v2/api-docs'], []\r"}
My logstash configuration:
input {
file {
path => "C:/data/log/*.log"
codec => "json"
type => "logback"
}
}
filter {
grok {
match => {
"message" => "%{TIMESTAMP_ISO8601:timestamp} %{LOGLEVEL:log-level} [%{DATA:class}]: %{GREEDYDATA:syslog_message}"
}
}
}
output {
if [type]=="logback" {
elasticsearch {
hosts => [ "localhost:9200" ]
index => "logback-%{+YYYY.MM.dd}"
}
}
}
You have to escape [] characters to consider them like part of string, not like special characters
match => {
"message" => '^%{TIMESTAMP_ISO8601:timestamp} %{LOGLEVEL:log_level}%{SPACE}\[%{DATA:thread}\]: %{GREEDYDATA:syslog_message}$'
}
I've update your pattern with a few improvements:
Set start(^) and end($) of line anchors to raise regex performance,
because failure will be faster. More info about it here.
Your logs have 2 space between "log-level" and "class" (in fact, it is thread, not class). If it is not permanent amount of spaces (sometimes Spring fill a log variable up to some length), it is better to use %{SPACE} mask.
Follow es name convention for "log-level" variable:
Use snake case (underscores) for combining words.
Currently
I have completed the above task by using one log file and passes data with logstash to one index in elasticsearch :
yellow open logstash-2016.10.19 5 1 1000807 0 364.8mb 364.8mb
What I actually want to do
If i have the following logs files which are named according to Year,Month and Date
MyLog-2016-10-16.log
MyLog-2016-10-17.log
MyLog-2016-10-18.log
MyLog-2016-11-05.log
MyLog-2016-11-02.log
MyLog-2016-11-03.log
I would like to tell logstash to read by Year,Month and Date and create the following indexes :
yellow open MyLog-2016-10-16.log
yellow open MyLog-2016-10-17.log
yellow open MyLog-2016-10-18.log
yellow open MyLog-2016-11-05.log
yellow open MyLog-2016-11-02.log
yellow open MyLog-2016-11-03.log
Please could I have some guidance as to how do i need to go about doing this ?
Thanks You
It is also simple as that :
output {
elasticsearch {
hosts => ["localhost:9200"]
index => "MyLog-%{+YYYY-MM-DD}.log"
}
}
If the lines in the file contain datetime info, you should be using the date{} filter to set #timestamp from that value. If you do this, you can use the output format that #Renaud provided, "MyLog-%{+YYYY.MM.dd}".
If the lines don't contain the datetime info, you can use the input's path for your index name, e.g. "%{path}". To get just the basename of the path:
mutate {
gsub => [ "path", ".*/", "" ]
}
wont this configuration in output section be sufficient for your purpose ??
output {
elasticsearch {
embedded => false
host => localhost
port => 9200
protocol => http
cluster => 'elasticsearch'
index => "syslog-%{+YYYY.MM.dd}"
}
}
I have 2 linux boxes setup in which 1 box contains one component which generates log and logstash installed in it to transfer the logs. And in other box I have redis elasticsearch and logstash. here logstash will act as logstash indexer to grok the data.
Now my problem is that in 1st box component generate new log file everyday, but only difference in log file name varies as per date.
like
counters-20151120-0.log
counters-20151121-0.log
counters-20151122-0.log
and so on, I have included below type of code in my logstash shipper conf file:
file {
path => "/opt/data/logs/counters-%{YEAR}%{MONTHNUM}%{MONTHDAY}*.log"
type => "rg_counters"
}
And in my logstash indexer, I have below type of code to catch those log files:
if [type] == "rg_counters" {
grok{
match => ["message", "%{YEAR}%{MONTHNUM}%{MONTHDAY}\s*%{HOUR}:%{MINUTE}:%{SECOND}\s*(?<counters_raw_data>[0-9\-A-Z]*)\s*(?<counters_operation_type>[\-A-Z]*)\s*%{GREEDYDATA:counters_extradata}"]
}
}
output {
elasticsearch { host => ["elastichost1","elastichost1" ] port => "9200" protocol => "http" }
stdout { codec => rubydebug }
}
Please note that this is working setup and other types log files are getting transfered and processed successfully, so there is no issue of setup.
The problem is how do I process this log file which contains date in it's file name.
Any help here?
Thanks in advance!!
Based on the comments...
Instead of trying to use regexp patterns in your path:
path => "/opt/data/logs/counters-%{YEAR}%{MONTHNUM}%{MONTHDAY}*.log"
just use glob patterns:
path => "/opt/data/logs/counters-*.log"
logstash will remember which files (inodes) that it's seen before.