We have standard log lines in our Spring Boot web applications (non json).
We need to centralize our logging and ship them to an elastic search as json.
(I've heard the later versions can do some transformation)
Can Filebeat read the log lines and wrap them as a json ? i guess it could append some meta data aswell. no need to parse the log line.
expected output :
{timestamp : "", beat: "", message: "the log line..."}
i have no code to show unfortunately.
filebeat supports several outputs including Elastic Search.
Config file filebeat.yml can look like this:
# filebeat options: https://www.elastic.co/guide/en/beats/filebeat/current/filebeat-reference-yml.html
filebeat.inputs:
- type: log
enabled: true
paths:
- /var/log/../file.err.log
processors:
- drop_fields:
# Prevent fail of Logstash (https://www.elastic.co/guide/en/beats/libbeat/current/breaking-changes-6.3.html#custom-template-non-versioned-indices)
fields: ["host"]
- dissect:
# tokenizer syntax: https://www.elastic.co/guide/en/logstash/current/plugins-filters-dissect.html.
tokenizer: "%{} %{} [%{}] {%{}} <%{level}> %{message}"
field: "message"
target_prefix: "spring boot"
fields:
log_type: spring_boot
output.elasticsearch:
hosts: ["https://localhost:9200"]
username: "filebeat_internal"
password: "YOUR_PASSWORD"
Well it seems to do it by default. this is my result when i tried it locally to read log lines. it wraps it exactly like i wanted.
{
"#timestamp":"2019-06-12T11:11:49.094Z",
"#metadata":{
"beat":"filebeat",
"type":"doc",
"version":"6.2.4"
},
"message":"the log line...",
"source":"/Users/myusername/tmp/hej.log",
"offset":721,
"prospector":{
"type":"log"
},
"beat":{
"name":"my-macbook.local",
"hostname":"my-macbook.local",
"version":"6.2.4"
}
}
Related
I transfer logfiles with filebeat to elasticsearch.
The data are analyzed with kibana.
Now to my problem:
Kibana shows not the timestamp from the logfile.
Kibana shows the time of the transmission in #timestamp.
I want to show the timestamp from the logfile in kibana.
But the timestamp in the logfile is overwritten.
Where is my fault?
Has anyone a solution for my problem?
Here a example from my logfile and the my filebeat config.
{"#timestamp":"2022-06-23T10:40:25.852+02:00","#version":1,"message":"Could not refresh JMS Connection]","logger_name":"org.springframework.jms.listener.DefaultMessageListenerContainer","level":"ERROR","level_value":40000}
## Filebeat configuration
## https://github.com/elastic/beats/blob/master/deploy/docker/filebeat.docker.yml
#
filebeat.config:
modules:
path: ${path.config}/modules.d/*.yml
reload.enabled: false
filebeat.autodiscover:
providers:
# The Docker autodiscover provider automatically retrieves logs from Docker
# containers as they start and stop.
- type: docker
hints.enabled: true
filebeat.inputs:
- type: filestream
id: pls-logs
paths:
- /usr/share/filebeat/logs/*.log
parsers:
- ndjson:
processors:
- add_cloud_metadata: ~
output.elasticsearch:
hosts: ['http://elasticsearch:9200']
username: elastic
password:
## HTTP endpoint for health checking
## https://www.elastic.co/guide/en/beats/filebeat/current/http-endpoint.html
#
http.enabled: true
http.host: 0.0.0.0
Thanks for any support!
Based upon the question, this could be one potential option, which would be to use filebeat processors. What you could do is write that initial #timestamp value to another field, like event.ingested, using the following script below:
#Script to move the timestamp to the event.ingested field
- script:
lang: javascript
id: init_format
source: >
function process(event) {
var fieldTest = event.Get("#timestamp");
event.Put("event.ingested", fieldTest);
}
And then the last processor you write could move that event.ingested field to #timestamp again using the following processor:
#setting the timestamp field to the Date/time when the event originated, which would be the event.created field
- timestamp:
field: event.created
layouts:
- '2006-01-02T15:04:05Z'
- '2006-01-02T15:04:05.999Z'
- '2006-01-02T15:04:05.999-07:00'
test:
- '2019-06-22T16:33:51Z'
- '2019-11-18T04:59:51.123Z'
- '2020-08-03T07:10:20.123456+02:00'
Am trying to implement an index template with datastream enabled and then set contains in ingest node pipelines. So that I could get metrics with below-mentioned index format :
.ds-metrics-kubernetesnamespace
I had tried this sometime back and I did these things as mentioned above and it was giving metrics in such format but now when I implement the same it's not changing anything in my index. I cannot see any logs in openshift cluster so ingest seems to be working fine(when I add a doc and test it works fine)
PUT _ingest/pipeline/metrics-index
{
"processors": [
{
"set": {
"field": "_index",
"value": "metrics-{{kubernetes.namespace}}",
"if": "ctx.kubernetes?.namespace==\"dev\""
}
}
]
}
This is the ingest node condition I have used for indexing.
metricbeatConfig:
metricbeat.yml: |
metricbeat.modules:
- module: kubernetes
enabled: true
metricsets:
- state_node
- state_daemonset
- state_deployment
- state_replicaset
- state_statefulset
- state_pod
- state_container
- state_job
- state_cronjob
- state_resourcequota
- state_service
- state_persistentvolume
- state_persistentvolumeclaim
- state_storageclass
- event
Since you're using Metricbeat, you have another way to do this which is much better.
Simply configure your elasticsearch output like this:
output.elasticsearch:
hosts: ["http://<host>:<port>"]
indices:
- index: "%{[kubernetes.namespace]}"
mappings:
dev: "metrics-dev"
default: "metrics-default"
or like this:
output.elasticsearch:
hosts: ["http://<host>:<port>"]
indices:
- index: "metrics-%{[kubernetes.namespace]}"
when.equals:
kubernetes.namespace: "dev"
default: "metrics-default"
or simply like this would also work if you have plenty of different namespaces and you don't want to manage different mappings:
output.elasticsearch:
hosts: ["http://<host>:<port>"]
index: "metrics-%{[kubernetes.namespace]}"
Steps to create datastreams in elastic stack:
create an ILM policy
Create an index template that has an index pattern that matches with the index pattern of metrics/logs.(Set number of primary shards/replica shards and mapping in index template)
Set a condition in ingest pipeline.(Make sure no such index exist)
If these conditions meet it will create a data stream and logs/metrics would have an index starting with .ds- and it will be hidden in index management.
In my case the issue was I did not have enough permission to create a custom index. When I checked my OpenShift logs I could find metricbeat was complaining about the privilege. So I gave Superuser permission and then used ingest node to set conditional indexing
PUT _ingest/pipeline/metrics-index
{
"processors": [
{
"set": {
"field": "_index",
"value": "metrics-{{kubernetes.namespace}}",
"if": "ctx.kubernetes?.namespace==\"dev\""
}
}
]
}
I have several applications that generate logs in txt and log format and needed to send all the information to Kibana, I was able to send these logs but sending each line of the file in an event.
I would like to send all log lines in just one event, example of application log format:
16/09/2021 14:32:37 - [ INFO ] - Lendo arquivo de configuração
16/09/2021 14:32:38 - [ INFO ] - UID de Execução: d6649885-37f1-4f98-ba86-c23289fbad25
16/09/2021 14:32:41 - [ INFO ] - Iniciando extração de arquivo .RAR...
16/09/2021 14:32:42 - [ ERROR ] - Erro de execução: System.ArgumentException: File does not exist: C:\Users\07.903007\Desktop\Base 2\arquivo rar\BaseII_cbss_16092021.rar
at SharpCompress.Archives.AbstractArchive`2..ctor(ArchiveType type, FileInfo fileInfo, ReaderOptions readerOptions)
at SharpCompress.Archives.Rar.RarArchive..ctor(FileInfo fileInfo, ReaderOptions options)
at SharpCompress.Archives.Rar.RarArchive.Open(String filePath, ReaderOptions options)
at BaseII.Program.Main(String[] args) in C:\Users\07.903007\Desktop\teste\legacyautomation\BaseII\Program.cs:line 45
I would like to send all the log lines in just one event, is this possible?
You can specify the multiline option in your filbeat.yml config under filebeat.inputs section.
Example config:
multiline.type: pattern
multiline.pattern: '^\dd/dd/dddd'
multiline.negate: true
multiline.match: after
That setup ensures that Filebeat takes all the lines that do not start with a date and combines them with the previous line that does.
The pattern is simply a regular expression.
If that's Java stack trace you can go even with this one, which is looking for a whitespace characters:
multiline.type: pattern
multiline.pattern: '^[[:space:]]'
multiline.negate: false
multiline.match: after
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}"}
}
In our current setup we use Filebeat to ship logs to an Elasticsearch instance. The application logs are in JSON format and it runs in AWS.
For some reason AWS decided to prefix the log lines in a new platform release, and now the log parsing doesn't work.
Apr 17 06:33:32 ip-172-31-35-113 web: {"#timestamp":"2020-04-17T06:33:32.691Z","#version":"1","message":"Tomcat started on port(s): 5000 (http) with context path ''","logger_name":"org.springframework.boot.web.embedded.tomcat.TomcatWebServer","thread_name":"main","level":"INFO","level_value":20000}
Before it was simply:
{"#timestamp":"2020-04-17T06:33:32.691Z","#version":"1","message":"Tomcat started on port(s): 5000 (http) with context path ''","logger_name":"org.springframework.boot.web.embedded.tomcat.TomcatWebServer","thread_name":"main","level":"INFO","level_value":20000}
The question would be whether we can avoid using Logstash to convert the log lines into the old format? If not, how do I drop the prefix? Which filter is the best choice for this?
My current Filebeat configuration looks like this:
filebeat.inputs:
- type: log
paths:
- /var/log/web-1.log
json.keys_under_root: true
json.ignore_decoding_error: true
json.overwrite_keys: true
fields_under_root: true
fields:
environment: ${ENV_NAME:not_set}
app: myapp
cloud.id: "${ELASTIC_CLOUD_ID:not_set}"
cloud.auth: "${ELASTIC_CLOUD_AUTH:not_set}"
I would try to leverage the dissect and decode_json_fields processors:
processors:
# first ignore the preamble and only keep the JSON data
- dissect:
tokenizer: "%{?ignore} %{+ignore} %{+ignore} %{+ignore} %{+ignore}: %{json}"
field: "message"
target_prefix: ""
# then parse the JSON data
- decode_json_fields:
fields: ["json"]
process_array: false
max_depth: 1
target: ""
overwrite_keys: false
add_error_key: true
There is a plugin in Logstash called JSON filter that includes all the raw log line in a field called "message" (for instance).
filter {
json {
source => "message"
}
}
If you do not want to include the beginning part of the line, use the dissect filter in Logstash. It would be something like this:
filter {
dissect {
mapping => {
"message" => "%{}: %{message_without_prefix}"
}
}
}
Maybe in Filebeat there are these two features available as well. But in my experience, I prefer working with Logstash when parsing/manipulating logging data.