I have a grok match like this:
grok{ match => [ “message”, “Duration: %{NUMBER:duration}”, “Speed: %{NUMBER:speed}” ] }
I also want to add another field to captured variables if it matches a grok pattern. I know I can use mutate plugin and if-else to add new fields but I have too many matches and it will be too long that way. As an example, I want to capture right-side fields for given texts.
"Duration: 12" => [duration: "12", type: "duration_type"]
"Speed: 12" => [speed: "12", type: "speed_type"]
Is there a way to do this?
I am not 100% sure if that is what you need, but I did something similar. I have a basic parsing for my message, and then I analyse a specific field additionally with optional matches.
grok {
break_on_match => false
patterns_dir => "/etc/logstash/conf.d/patterns"
match => {
"message" => "\[%{LOGLEVEL:level}\] \[%{IPORHOST:from}\] %{TIMESTAMP_ISO8601:timestamp} \[%{DATA:thread}\] \[%{NOTSPACE:logger}\] %{GREEDYDATA:msg}"
"thread" => "(%{GREEDYDATA}%{REQUEST_TYPE:reqType}%{SPACE}%{URIPATH:reqPath}(%{URIPARAM:reqParam})?)?"
}
}
As you can see, the first one simply matches the complete message. I have a field thread, that is basically the Logger information. However, in my setup, http requests append some info to the thread name. In these cases, I want to OPTIONALLY match these as well.
Wit the above setup, the fields reqType, reqPath, reqParam are only created, if thread can match them. Otherwise they aren't.
I hope this is what you wanted.
Thanks,
Artur
Something like this?
filter{
grok { match => [ "message", "%{GREEDYDATA:types}: %{NUMBER:value}" ] }
mutate {
lowercase => [ "types" ]
add_field => { "%{types}" => "%{value}"
"type" => "%{types}_type" }
remove_field => [ "value", "types" ]
}
}
Related
i am new to ELK. when i onboarded the below log file, it is going to "dead letter queue" in logstash because logstash couldn't able to process the events.I have written the GROK filter to parse the events but logstash still couldn't not process the events. Any help would be appreciated.
Below is the sample log format.
25193662345 [http-nio-8080-exec-44] DEBUG c.s.b.a.m.PerformanceMetricsFilter - method=PUT status=201 appLogicTime=1, streamInTime=0, blobStorageTime=31, totalTime=33 tenantId=b9sdfs-1033-4444-aba5-csdfsdfsf, immutableBlobId=bss_c_586331/Sample_app12-sdas-157123148464.txt, blobSize=2862, domain=abc
2519366789 [http-nio-8080-exec-47] DEBUG q.s.b.y.m.PerformanceMetricsFilter - method=PUT status=201 appLogicTime=1, streamInTime=0, blobStorageTime=32, totalTime=33 tenantId=b0csdfsd-1066-4444-adf4-ce7bsdfssdf, immutableBlobId=bss_c_586334/Sample_app15-615223-157sadas6648465.txt, blobSize=2862, domain=cde
GROK filter:
dissect { mapping => { "message" => "%{NUMBER:number} [%{thread}] %{level} %{class} - %{[#metadata][msg]}" } }
kv { source => "[#metadata][msg]" field_split => "," }
Thanks
You have basically two problems in your configuration.
1.) You are using the dissect filter, not grok, both are used to parse messages, but grok uses regular expressions to validate the value of the field and dissect is just positional, it does not perform any validation, if you have a WORD value in the position of a field that expects a NUMBER, grok will fail, but dissect will not.
If your log lines always have the same pattern, you should continue to use dissect since it is faster and needs less cpu.
Your correct dissect mapping should be:
dissect {
mapping => { "message" => "%{number} [%{thread}] %{level} %{class} - %{[#metadata][msg]}" }
}
2.) The field that contains the kv message is wrong, it has fields separated by space and by comma, kv won't work this way.
After your dissect filter this is the content of [#metadata][msg].
method=PUT status=201 appLogicTime=1, streamInTime=0, blobStorageTime=32, totalTime=33 tenantId=b0csdfsd-1066-4444-adf4-ce7bsdfssdf, immutableBlobId=bss_c_586334/Sample_app15-615223-157sadas6648465.txt, blobSize=2862, domain=cde
To solve this you should use a mutate filter to remove the comma from the [#metadata][msg] and use the kv filter with the default configurations.
This should be your filter configuration
filter {
dissect {
mapping => { "message" => "%{number} [%{thread}] %{level} %{class} - %{[#metadata][msg]}" }
}
mutate {
gsub => ["[#metadata][msg]",",",""]
}
kv {
source => "[#metadata][msg]"
}
}
Your output should be something like this:
{
"number" => "2519366789",
"#timestamp" => 2019-11-03T16:42:11.708Z,
"thread" => "http-nio-8080-exec-47",
"appLogicTime" => "1",
"domain" => "cde",
"method" => "PUT",
"level" => "DEBUG",
"blobSize" => "2862",
"#version" => "1",
"immutableBlobId" => "bss_c_586334/Sample_app15-615223-157sadas6648465.txt",
"streamInTime" => "0",
"status" => "201",
"blobStorageTime" => "32",
"message" => "2519366789 [http-nio-8080-exec-47] DEBUG q.s.b.y.m.PerformanceMetricsFilter - method=PUT status=201 appLogicTime=1, streamInTime=0, blobStorageTime=32, totalTime=33 tenantId=b0csdfsd-1066-4444-adf4-ce7bsdfssdf, immutableBlobId=bss_c_586334/Sample_app15-615223-157sadas6648465.txt, blobSize=2862, domain=cde",
"totalTime" => "33",
"tenantId" => "b0csdfsd-1066-4444-adf4-ce7bsdfssdf",
"class" => "q.s.b.y.m.PerformanceMetricsFilter"
}
I try to extract data from my log4j message with logstash.
The message look like this :
Method findAll - Start by : bokc
I would like to extract the method name : "findAll" and the user "bokc".
How can I do this?
I use logstash 1.5.2 and my config is :
input {
log4j {
mode => "server"
type => "log4j-artemis"
port => 4560
}
}
filter {
multiline {
type => "log4j-artemis"
pattern => "^\\s"
what => "previous"
}
mutate {
add_field => [ "source_ip", "%{host}" ]
}
}
Use a grok filter:
filter {
grok {
match => [
"message",
"^Method %{WORD:method} - Start by : %{USER:user}"
]
tag_on_failure => []
}
}
This extracts the two words into the fields "method" and "user". The setting of tag_on_failure makes sure that non-matching messages aren't tagged with _grokparsefailure. Since most messages aren't supposed to match the pattern it doesn't make sense to mark them as failures.
I have file containing series of such messages:
component+branch.job 2014-09-04_21:24:46 2014-09-04_21:24:49
It is string, some white spaces, first date and time, some white spaces and second date and time. Currently I'm using such filter:
filter {
grok {
match => [ "message", "%{WORD:componentName}\+%{WORD:branchName}\.%{WORD:jobType}\s+20%{DATE:dateStart}_%{TIME:timeStart}\s+20%{DATE:dateStop}_%{TIME:timeStop}" ]
}
}
I would like to convert dateStart and timeStart to #timestamp for that message.
I found that there is date filter but I don't know how to use it on two separate fields.
I have also tried something like this as filter:
date {
match => [ "message", "YYYY-MM-dd_HH:mm:ss" ]
}
but it didn't worked as expected.
Based on duplicate suggested by Magnus Bäck, I created solution for my problem. Solution was to mutate parsed data into one field:
mutate {
add_field => {"tmp_start_timestamp" => "20%{dateStart}_%{timeStart}"}
}
and then parse it as I suggested in my question.
So final solution looks like this:
filter {
grok {
match => [ "message", "%{WORD:componentName}\+%{WORD:branchName}\.%{DATA:jobType}\s+20%{DATE:dateStart}_%{TIME:timeStart}\s+20%{DATE:dateStop}_%{TIME:timeStop}" ]
}
mutate {
add_field => {"tmp_start_timestamp" => "20%{dateStart}_%{timeStart}"}
}
date {
match => [ "tmp_start_timestamp", "YYYY-MM-dd_HH:mm:ss" ]
}
}
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 running the following filter in a logstash config file:
filter {
if [type] == "logstash" {
grok {
match => {
"message" => [
"\[%{DATA:timestamp}\]\[%{DATA:severity}\]\[%{DATA:instance}\]%{DATA:mymessage}, reason:%{GREEDYDATA:reason}",
"\[%{DATA:timestamp}\]\[%{DATA:severity}\]\[%{DATA:instance}\]%{GREEDYDATA:mymessage}"
]
}
}
}
}
It kind of works:
it does identify and carve out variables "timestamp", "severity", "instance", "mymessage", and "reason"
Really what I wanted was to have text which is now %{mymessage} to be the ${message} but when I add any sort of mutate command to this grok it stops working (btw, should there be a log that tells me what is breaking? I didn't see it... ironic for a logging solution to not have verbose logging).
Here's what I tried:
filter {
if [type] == "logstash" {
grok {
match => {
"message" => [
"\[%{DATA:timestamp}\]\[%{DATA:severity}\]\[%{DATA:instance}\]%{DATA:mymessage}, reason:%{GREEDYDATA:reason}",
"\[%{DATA:timestamp}\]\[%{DATA:severity}\]\[%{DATA:instance}\]%{GREEDYDATA:mymessage}"
]
}
mutate => {
replace => [ "message", "%{mymessage}"]
remove => [ "mymessage" ]
}
}
}
}
So in summary I'd like to understand:
Are there log files I can look at to see why/where a failure is happening?
Why would my mutate commands illustated above not work?
I also thought that if I never used the mymessage variable but instead just referred to message as the variable that maybe it would automatically truncate message to just the matched pattern but that appeared to append the results instead ... what is the correct behaviour?
Using the overwrite option is the best solution, but I thought I'd address a couple of your questions directly anyway.
It depends on how Logstash is started. Normally you'd run it via an init script that passes the -l or --log option. /var/log/logstash would be typical.
mutate is a filter of its own, not a part of grok. You could've done like this (or used rename instead of replace + remove):
grok {
...
}
mutate {
replace => [ "message", "%{mymessage}" ]
remove => [ "mymessage" ]
}
I'd do it a different way. For what you're trying to do, the overwrite option might be more apt.
Something like this:
grok {
overwrite => "message"
match => [
"message" => [
"\[%{DATA:timestamp}\]\[%{DATA:severity}\]\[%{DATA:instance}\]%{DATA:message}, reason:%{GREEDYDATA:reason}",
"\[%{DATA:timestamp}\]\[%{DATA:severity}\]\[%{DATA:instance}\]%{GREEDYDATA:message}"
]
]
}
This'll replace 'message' with the 'grokked' bit.
I know that doesn't directly answer your question - about all I can say is when you start logstash, it writes to STDOUT - at least on the version I'm using - which I'm capturing and writing to a file. In here, it reports some of the errors.
There's a -l option to logstash that lets you specify a log file to use - this will usually show you what's going on in the parser, but bear in mind that if something doesn't match a rule, it won't necessarily tell you why it didn't.