I am trying to write a logstash filter for my Java logs so that I can insert them into my database cleanly.
Below is an example of my log format:
FINE 2016-01-28 22:20:42.614+0000 net.myorg.crypto.CryptoFactory:getInstance:73:v181328
AppName : MyApp AssocAppName:
Host : localhost 127.000.000.001 AssocHost:
Thread : http-bio-8080-exec-5[23]
SequenceId: -1
Logger : net.myorg.crypto.CryptoFactory
Message : ENTRY
---
FINE 2016-01-28 22:20:42.628+0000 net.myorg.crypto.CryptoFactory:getInstance:75:v181328
AppName : MyApp AssocAppName:
Host : localhost 127.000.000.001 AssocHost:
Thread : http-bio-8080-exec-5[23]
SequenceId: -1
Logger : net.myorg.crypto.CryptoFactory
Message : RETURN
---
My logstash-forwarder is pretty simple. It just includes all logs in the directory (they all have the same format as above)
"files": [
{
"paths": [ "/opt/logs/*.log" ],
"fields": { "type": "javaLogs" }
}
]
The trouble I'm having is on the logstash side. How can I write a filter in logstash to match this log format?
Using something like this, gets me close:
filter {
if [type] == "javaLogs" {
multiline {
pattern => "^%{TIMESTAMP_ISO8601}"
negate => true
what => "previous"
}
}
}
But I want to break each line in the log down to its own mapping in logstash. For example, creating fields like AppName, AssocHost, Host, Thread, etc.
I think the answer is using grok.
Joining them with multiline (the codec or filter, depending on your needs) is a great first step.
Unfortunately, your pattern says "If the log entry doesn't start with a timestamp, join it with the previous eentry".
Note that none of your log entries start with a timestamp.
Related
I'm using: NiFi v1.8.0 and Logstash v7.1.1
I'm tasked to move all our Logstash configurations over to NiFi. I am trying to understand how the NiFi ExtractGrok works, but I can't find any examples. How is this intended to be used? And how can you set a NiFi attribute with this grok processor? And when I mean examples, I mean actual examples that show you a before and after so people can understand whats going on. I've read the NiFi ExtractGrok documentation, but its very limited and seems to assume you understand how it works.
This is the only example I've been able to find: How to fetch multiline with ExtractGrok processor in ApacheNifi?
According to what you are saying, the processor you need, is rather ConvertRecord than ExtractGrok. ExtractGrok will only extract certain fields into FlowFile attributes or content.
If you want to format your log files into a workable format(like JSON, if you want to send those files to ElasticSearch), then you would use GrokReader as Record Reader and Record Writer as JsonRecordSetWriter.
Then, you would configure your Schema Text (or use a Schema Registry) in both RecordReader and RecordWriter to be your schema, and set Grok Expression to be your grok expression in your GrokReader.
For example:
my log messages log like this:
2019-12-09 07:59:59,136 this is the first log message
2019-12-09 09:59:59,136 this is the first log message with a stack trace: org.springframework.boot.actuate.jdbc.DataSourceHealthIndicator - DataSource health check failed
org.springframework.jdbc.CannotGetJdbcConnectionException: Failed to obtain JDBC Connection; nested exception is org.apache.commons.dbcp.SQLNestedException: Cannot create PoolableConnectionFactory (Communications link failure
The last packet sent successfully to the server was 0 milliseconds ago. The driver has not received any packets from the server.)
at org.springframework.jdbc.datasource.DataSourceUtils.getConnection(DataSourceUtils.java:81)......
So, my grok would be:
%{TIMESTAMP_ISO8601:timestamp}\s+%{GREEDYDATA:log_message}
and my schema would be:
{
"name": "MyClass",
"type": "record",
"namespace": "com.acme.avro",
"fields": [
{
"name": "timestamp",
"type": "string"
},
{
"name": "log_message",
"type": "string"
},
{
"name": "stackTrace",
"type": "string"
}
]
}
Note the stackTrace field I've added to the schema. The GrokReader automatically maps stack traces into their own field. So you have to add stackTrace field if you want to map it too. Then, you can put it into the log_message field if you want, using Jolt.
The output of this ConvertRecord would be:
[ {
"timestamp" : "2019-12-09 07:59:59,136",
"log_message" : "this is the first log message",
"stackTrace" : null
}, {
"timestamp" : "2019-12-09 09:59:59,136",
"log_message" : "this is the first log message with a stack trace: org.springframework.boot.actuate.jdbc.DataSourceHealthIndicator - DataSource health check failed",
"stackTrace" : "org.springframework.jdbc.CannotGetJdbcConnectionException: Failed to obtain JDBC Connection; nested exception is org.apache.commons.dbcp.SQLNestedException: Cannot create PoolableConnectionFactory (Communications link failure
The last packet sent successfully to the server was 0 milliseconds ago. The driver has not received any packets from the server.)\nat org.springframework.jdbc.datasource.DataSourceUtils.getConnection(DataSourceUtils.java:81)......"
} ]
I use input file to get logs like this:
input {
file {
path => "/home/ec2-user/*.log"
}
}
In one of the log files some events are loging with 1 line:
2018-12-10 10:01:30.1097|0|Services.Services|INFO| Message: test
Another are multilines like this one :
2018-12-10 10:01:30.1097|0|Services.Services|INFO| Message: {
"account_id": "ec812648-3857-4625-9d9a-fc8ce1835493",
"name": "Player_539017",
"creation_time": "10/12/2018 10:52:52",
"hq_level": 2,
"force": 2570
} successfully dequeued |url: |action:
How can I capture both of the messages with logstash filter:
Below is an example from this page which uses the multiline codec to capture log lines starting with a date timestamp as single event. This will work for both of the log events mentioned above.
file {
path => "/home/ec2-user/*.log"
codec => multiline {
# Grok pattern names are valid
pattern => "^%{TIMESTAMP_ISO8601} "
negate => true
what => "previous"
}
}
I have two kinds of logs in ES (rtmp and apache), apache has clientip.raw and rtmp has ipclient.raw. The problem is: how can I see in my Kibana panel just the data that has this condition "ipclient"="clientip" ?
I tried writing this in my search bar, but doesn´t work:
{
"query": {
"filtered": {
"filter": {
"script": {"script": "doc['clientip.raw'].value == doc['ipclient.raw'].value"}
}
}
}
}
You can write the below query:-
{"constant_score":{"filter":{"script" : { "script" : "doc['clientip.raw'].value == doc['ipclient.raw'].value"}}}}
You may see an error while using above query such as:-
ScriptException[scripts of type [inline], operation [search] and lang [groovy] are disabled]
To solve this error, edit your elasticsearch.yml file and enter the following property at the end:-
script.inline:on
Then you can restart your Elasticsearch node or cluster and then query the same on Kibana which will fetch you desired records.
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.
I am receiving Log4j generated log files from remote servers using Logstash forwarder. The log event has fields including a field named "file" in the format /tomcat/logs/app.log, /tomcat/logs/app.log.1, etc. Of course file path /tomcat/logs is on the remote machine and I would like Logstash to create files on the local file system using only the file name and not use the remote file path.
Locally, I would like to create a file based on file name app.log, app.log.1, etc. How can one accomplish this?
I am unable to use grok since it appears to work only with "message" field and not others.
Example Log Event:
{"message":["11 Sep 2014 16:29:04,934 INFO LOG MESSAGE DETAILS HERE "],"#version":"1","#timestamp":"2014-09-15T05:44:43.472Z","file":["/tomcat/logs/app.log.1"],"host":"aus-002157","offset":"3116","type":"app.log"}
Logstash configuration - what do I use to write the filter section?
input {
lumberjack {
port => 48080
ssl_certificate => "/tools/LogStash/logstash-1.4.2/ssl/logstash.crt"
ssl_key => "/tools/LogStash/logstash-1.4.2/ssl/logstash.key"
}
}
filter{
}
output {
file{
#message_format => "%{message}"
flush_interval => 0
path => "/tmp/%{host}.%{type}.%{filename}"
max_size => "4M"
}
}
Figured out the pattern to be as follows:
grok{
match => [ "file", "^(/.*/)(?<filename>(.*))$" ]
}
Thanks for the help!
Logstash Grok can parse all the fields in a log event, not only message field.
For example, you want to extract the file field,
you can do like this
filter {
grok {
match => [ "file", "your pattern" ]
}
}