This documentation contains work-in-progress information for future Elastic Stack and Cloud releases. Use the version selector to view supported release docs. It also contains some Elastic Cloud serverless information. Check out our serverless docs for more details.
« Logstash input plugin Lumberjack input plugin »
Elastic Docs ›Logstash Reference [master] ›Input plugins

Log4j input plugin

edit

Log4j input plugin

edit
  • Plugin version: v3.1.3
  • Released on: 2018-04-06
  • Changelog

For other versions, see the Versioned plugin docs.

Installation

edit

For plugins not bundled by default, it is easy to install by running bin/logstash-plugin install logstash-input-log4j. See Working with plugins for more details.

Getting help

edit

For questions about the plugin, open a topic in the Discuss forums. For bugs or feature requests, open an issue in Github. For the list of Elastic supported plugins, please consult the Elastic Support Matrix.

Deprecation Notice

edit

This plugin is deprecated. It is recommended that you use filebeat to collect logs from log4j.

The following section is a guide for how to migrate from SocketAppender to use filebeat.

To migrate away from log4j SocketAppender to using filebeat, you will need to make these changes:

  • Configure your log4j.properties (in your app) to write to a local file.
  • Install and configure filebeat to collect those logs and ship them to Logstash
  • Configure Logstash to use the beats input.

Configuring log4j for writing to local files

edit

In your log4j.properties file, remove SocketAppender and replace it with RollingFileAppender.

For example, you can use the following log4j.properties configuration to write daily log files.

# Your app's log4j.properties (log4j 1.2 only)
log4j.rootLogger=daily
log4j.appender.daily=org.apache.log4j.rolling.RollingFileAppender
log4j.appender.daily.RollingPolicy=org.apache.log4j.rolling.TimeBasedRollingPolicy
log4j.appender.daily.RollingPolicy.FileNamePattern=/var/log/your-app/app.%d.log
log4j.appender.daily.layout = org.apache.log4j.PatternLayout
log4j.appender.daily.layout.ConversionPattern=%d{YYYY-MM-dd HH:mm:ss,SSSZ} %p %c{1}:%L - %m%n

Configuring log4j.properties in more detail is outside the scope of this migration guide.

Configuring filebeat

edit

Next, install filebeat. Based on the above log4j.properties, we can use this filebeat configuration:

# filebeat.yml
filebeat:
  prospectors:
    -
      paths:
        - /var/log/your-app/app.*.log
      input_type: log
output:
  logstash:
    hosts: ["your-logstash-host:5000"]

For more details on configuring filebeat, see Configure Filebeat.

Configuring Logstash to receive from filebeat

edit

Finally, configure Logstash with a beats input:

# logstash configuration
input {
  beats {
    port => 5000
  }
}

It is strongly recommended that you also enable TLS in filebeat and logstash beats input for protection and safety of your log data..

For more details on configuring the beats input, see the logstash beats input documentation.

Description

edit

Read events over a TCP socket from a Log4j SocketAppender. This plugin works only with log4j version 1.x.

Can either accept connections from clients or connect to a server, depending on mode. Depending on which mode is configured, you need a matching SocketAppender or a SocketHubAppender on the remote side.

One event is created per received log4j LoggingEvent with the following schema:

  • timestamp ⇒ the number of milliseconds elapsed from 1/1/1970 until logging event was created.
  • path ⇒ the name of the logger
  • priority ⇒ the level of this event
  • logger_name ⇒ the name of the logger
  • thread ⇒ the thread name making the logging request
  • class ⇒ the fully qualified class name of the caller making the logging request.
  • file ⇒ the source file name and line number of the caller making the logging request in a colon-separated format "fileName:lineNumber".
  • method ⇒ the method name of the caller making the logging request.
  • NDC ⇒ the NDC string
  • stack_trace ⇒ the multi-line stack-trace

Also if the original log4j LoggingEvent contains MDC hash entries, they will be merged in the event as fields.

Log4j Input Configuration Options

edit

This plugin supports the following configuration options plus the Common options described later.

Setting Input type Required

host

string

No

mode

string, one of ["server", "client"]

No

port

number

No

proxy_protocol

boolean

No

Also see Common options for a list of options supported by all input plugins.

 

host

edit
  • Value type is string
  • Default value is "0.0.0.0"

When mode is server, the address to listen on. When mode is client, the address to connect to.

mode

edit
  • Value can be any of: server, client
  • Default value is "server"

Mode to operate in. server listens for client connections, client connects to a server.

port

edit
  • Value type is number
  • Default value is 4560

When mode is server, the port to listen on. When mode is client, the port to connect to.

proxy_protocol

edit
  • Value type is boolean
  • Default value is false

Proxy protocol support, only v1 is supported at this time http://www.haproxy.org/download/1.5/doc/proxy-protocol.txt

Common options

edit

These configuration options are supported by all input plugins:

Setting Input type Required

add_field

hash

No

codec

codec

No

enable_metric

boolean

No

id

string

No

tags

array

No

type

string

No

add_field

edit
  • Value type is hash
  • Default value is {}

Add a field to an event

codec

edit
  • Value type is codec
  • Default value is "plain"

The codec used for input data. Input codecs are a convenient method for decoding your data before it enters the input, without needing a separate filter in your Logstash pipeline.

enable_metric

edit
  • Value type is boolean
  • Default value is true

Disable or enable metric logging for this specific plugin instance by default we record all the metrics we can, but you can disable metrics collection for a specific plugin.

id

edit
  • Value type is string
  • There is no default value for this setting.

Add a unique ID to the plugin configuration. If no ID is specified, Logstash will generate one. It is strongly recommended to set this ID in your configuration. This is particularly useful when you have two or more plugins of the same type, for example, if you have 2 log4j inputs. Adding a named ID in this case will help in monitoring Logstash when using the monitoring APIs.

input {
  log4j {
    id => "my_plugin_id"
  }
}

Variable substitution in the id field only supports environment variables and does not support the use of values from the secret store.

tags

edit
  • Value type is array
  • There is no default value for this setting.

Add any number of arbitrary tags to your event.

This can help with processing later.

type

edit
  • Value type is string
  • There is no default value for this setting.

Add a type field to all events handled by this input.

Types are used mainly for filter activation.

The type is stored as part of the event itself, so you can also use the type to search for it in Kibana.

If you try to set a type on an event that already has one (for example when you send an event from a shipper to an indexer) then a new input will not override the existing type. A type set at the shipper stays with that event for its life even when sent to another Logstash server.

« Logstash input plugin Lumberjack input plugin »