I have the following message in my log file...
2015-05-08 12:00:00,648064070: INFO : [pool-4-thread-1] com.jobs.AutomatedJob: Found 0 suggested order events
This is what I see in Logstash/Kibana (with the Date and Message selected)...
May 8th 2015, 12:16:19.691 2015-05-08 12:00:00,648064070: INFO : [pool-4-thread-1] com.pcmsgroup.v21.star2.application.maintenance.jobs.AutomatedSuggestedOrderingScheduledJob: Found 0 suggested order events
The date on the left in Kibana is the insertion date. (May 8th 2015, 12:16:19.691)
The next date is from the log statement (2015-05-08 12:00:00,648064070)
Next is the INFO level of logging.
Then finally the message.
I'd like to split these into there components, so that the level of logging is its own FIELD in kibana, and to either remove the date in the message section or make it the actual date (instead of the insertion date).
Can someone help me out please. I presume I need a grok filter?
This is what I have so far...
input
{
file {
debug => true
path => "C:/office-log*"
sincedb_path => "c:/tools/logstash-1.4.2/.sincedb"
sincedb_write_interval => 1
start_position => "beginning"
tags => ["product_qa"]
type => "log4j"
}
}
filter {
grok {
match => [ "message", "%{TIMESTAMP_ISO8601}: %{LOGLEVEL}" ]
}
}
output {
elasticsearch {
protocol => "http"
host => "0.0.0.x"
}
}
This grok filter doesn't seem to change the events shown in Kibana.
I still only see host/path/type,etc.
I've been using http://grokdebug.herokuapp.com/ to work out my grok syntax
You will need to name the result that you get back from grok and then use the date filter to set #timestamp so that the logged time will be used instead of the insert time.
Based on what you have so far, you'd do this:
filter {
grok {
match => [ "message", "%{TIMESTAMP_ISO8601:logdate}: %{LOGLEVEL:loglevel} (?<logmessage>.*)" ]
}
date {
match => [ "logdate", "ISO8601" ]
}
#logdate is now parsed into timestamp, remove original log message too
mutate {
remove_field => ['message', 'logdate' ]
}
}
Related
I'm trying to collect logs using Logstash where I have different kinds of logs in the same file.
I want to extract certain fields if they exist in the log, and otherwise do something else.
input{
file {
path => ["/home/ubuntu/XXX/XXX/results/**/log_file.txt"]
start_position => "beginning"
}
}
filter {
grok{
match => { "message" => ["%{WORD:logger} %{SPACE}\-%{SPACE} %{LOGLEVEL:level} %{SPACE}\-%{SPACE} %{DATA:message} %{NUMBER:score:float}",
"%{WORD:logger} %{SPACE}\-%{SPACE} %{LOGLEVEL:level} %{SPACE}\-%{SPACE} %{DATA:message}"]}
}
}
output{
elasticsearch {
hosts => ["X.X.X.X:9200"]
}
stdout { codec => rubydebug }
}
for example, log type 1 is:
root - INFO - Best score yet: 35.732
and type 2 is:
root - INFO - Starting an experiment
One of the problems I face is that when a message doesn't contain a number, the field still exists as null in the JSON created which prevents me from using desired functionalities in Kibana.
One option, is just to add a tag on logstash when field is not defined to be able to have a way to filter easily on kibana side. The null value is only set during the insertion in elasticsearch (on logstash side, the field is not defined)
This solution looks like this in you case :
filter {
grok{
match => { "message" => ["%{WORD:logger} %{SPACE}\-%{SPACE} %{LOGLEVEL:level} %{SPACE}\-%{SPACE} %{DATA:message} %{NUMBER:score:float}",
"%{WORD:logger} %{SPACE}\-%{SPACE} %{LOGLEVEL:level} %{SPACE}\-%{SPACE} %{DATA:message}"]}
}
if ![score] {
mutate { add_tag => [ "score_not_set" ] }
}
}
Is it possible to match a message to a new field in logstash using grok and mutate?
Example log:
"<30>Dec 19 11:37:56 7f87c507df2a[20103]: [INFO] 2018-12-19 16:37:56 _internal (MainThread): 192.168.0.6 - - [19/Dec/2018 16:37:56] \"\u001b[37mGET / HTTP/1.1\u001b[0m\" 200 -\r"
I am trying to create a new key value where I match container_id to 7f87c507df2a.
filter {
grok {
match => [ "message", "%{SYSLOG5424PRI}%{NONNEGINT:ver} +(?:%{TIMESTAMP_ISO8601:ts}|-) +(?:%{HOSTNAME:service}|-) +(?:%{NOTSPACE:containerName}|-) +(?:%{NOTSPACE:proc}|-) +(?:%{WORD:msgid}|-) +(?:%{SYSLOG5424SD:sd}|-|) +%{GREEDYDATA:msg}" ]
}
mutate {
add_field => { "container_id" => "%{containerName}"}
}
}
The resulting logfile renders this, where the value of containerName isn't being referenced from grok, it is just a string literal:
"container_id": "%{containerName}"
I am trying to have the conf create:
"container_id": "7f87c507df2a"
Obviously the value of containerName isn't being linked from grok. Is what I want to do even possible?
As explained in the comments, my grok pattern was incorrect. For anyone that may wander towards this post that needs help with grok go here to make building your pattern less time consuming.
Here was the working snapshot:
filter {
grok {
match => [ "message", "\A%{SYSLOG5424PRI}%{SYSLOGTIMESTAMP}%{SPACE}%{BASE16NUM:docker_id}%{SYSLOG5424SD}%{GREEDYDATA:python_log_message}" ]
add_field => { "container_id" => "%{docker_id}" }
}
}
I am trying to get the desired time stamp format from logstash output. I can''t get that if I use this format in syslog
Please share your thoughts about convert to the other format that’s in the _source field like Yyyy-mm-ddThh:mm:ss.sssZ format?
filter {
grok {
match => [ "logdate", "Yyyy-mm-ddThh:mm:ss.sssZ" ]
overwrite => ["host", "message"]
}
_source: {
message: "activity_log: {"created_at":1421114642210,"actor_ip":"192.168.1.1","note":"From system","user":"4561c9d7aaa9705a25f66d","user_id":null,"actor":"4561c9d7aaa9705a25f66d","actor_id":null,"org_id":null,"action":"user.failed_login","data":{"transaction_id":"d6768c473e366594","name":"user.failed_login","timing":{"start":1422127860691,"end":14288720480691,"duration":0.00257},"actor_locatio
I am using this code in syslog file
filter {
if [message] =~ /^activity_log: / {
grok {
match => ["message", "^activity_log: %{GREEDYDATA:json_message}"]
}
json {
source => "json_message"
remove_field => "json_message"
}
date {
match => ["created_at", "UNIX_MS"]
}
mutate {
rename => ["[json][repo]", "repo"]
remove_field => "json"
}
}
}
output {
elasticsearch { host => localhost }
stdout { codec => rubydebug }
}
thanks
"message" => "<134>feb 1 20:06:12 {\"created_at\":1422765535789, pid=5450 tid=28643 version=b0b45ac proto=http ip=192.168.1.1 duration_ms=0.165809 fs_sent=0 fs_recv=0 client_recv=386 client_sent=0 log_level=INFO msg=\"http op done: (401)\" code=401" }
"#version" => "1",
"#timestamp" => "2015-02-01T20:06:12.726Z",
"type" => "activity_log",
"host" => "192.168.1.1"
The pattern in your grok filter doesn't make sense. You're using a Joda-Time pattern (normally used for the date filter) and not a grok pattern.
It seems your message field contains a JSON object. That's good, because it makes it easy to parse. Extract the part that comes after "activity_log: " to a temporary json_message field,
grok {
match => ["message", "^activity_log: %{GREEDYDATA:json_message}"]
}
and parse that field as JSON with the json filter (removing the temporary field if the operation was successful):
json {
source => "json_message"
remove_field => ["json_message"]
}
Now you should have the fields from the original message field at the top level of your message, including the created_at field with the timestamp you want to extract. That number is the number of milliseconds since the epoch so you can use the UNIX_MS pattern in a date filter to extract it into #timestamp:
date {
match => ["created_at", "UNIX_MS"]
}
I have logstash, kibana and elasticsearch installed on my system, with this filter configuration:
filter{
if [type] == "syslog" {
grok {
match => { "message" => "%{SYSLOGTIMESTAMP:syslog_timestamp} %{SYSLOGHOST:syslog_hostname} %{DATA:syslog_program}(?:\[%{POSINT:syslog_pid}\])?: %{GREEDYDATA:syslog_message}" }
add_field => [ "received_at", "%{#timestamp}" ]
add_field => [ "received_from", "%{host}" ]
}
mutate {
add_field => {
"timestamp" => "%{TIME} %{MONTH} %{monthday}"
}
}
syslog_pri { }
date {
match => [ "syslog_timestamp", "MMM d HH:mm:ss", "MMM dd HH:mm:ss" ]
}
}
}
and receiving output on kibana as:
but I need some fields which are as follows:
#timestamp
#version
_id
_index
_type
_file
Log Level
Host Name
Host IP
Process Name
Response Time
I tried adding Timestamp but its printing same string instead of dynamic result
You're confusing patterns with fields.
A pattern is a short-hand notation that represents a regular expression, such as %{WORD} as a shortcut for "\b\w+\b".
A field is where data - including information matched by patterns - is stored. It's possible to put a pattern into a field like this: %{WORD:my_field}
In your grok{}, you match with: %{SYSLOGTIMESTAMP:syslog_timestamp}, which puts everything that was matched into a single field called syslog_timestamp. This is the month, monthday, and time seen at the front of syslog messages.
Even though SYSLOGTIMESTAMP is itself defined as "%{MONTH} +%{MONTHDAY} %{TIME}", they don't have that ":name" syntax, so no fields are created for MONTH, MONTHDAY, and TIME.
Assuming that you really do want to make a new field in the format you describe, you'd need to either:
make a new pattern to replace all of SYSLOGTIMESTAMP that would make fields out of the pieces of information.
use the existing pattern to create the syslog_timestamp field as you're doing, and then grok{} that with a simple pattern to split it apart.
I'd recommend #2, so you'd end up with something like this:
grok {
match => { "syslog_timestamp" => "%{MONTH:month} +%{MONTHDAY:monthday} %{TIME:time}" }
}
That should do it.
Please note that your field will be a string, so it won't be of any use in range queries, etc. You should use the date{} filter to replace #timestamp with your syslog_timestamp information.
Good luck.
I am trying Grok with the following filter
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:time}" }
}
date {
match => [ "time", "ISO8601"]
}
With this data
[2014-06-19 16:07:02,347] INFO - [Start External Integration context] [45] Starting service
It matches, but doesn't change the #timestamp.
What is wrong? I've spent a couple hours playing around with this and nothing I thought made it work.
Running windows if that matters...
Got it!
Looks like the date filter "ISO8601" is not working with a space between DATE and TIME
So this works
grok {
match => { "message" => "%{TIMESTAMP_ISO8601:time}" }
}
date {
match => [ "time", "YYYY-MM-dd HH:mm:ss,SSS"]
}