How to write a Java filter plugin
editHow to write a Java filter plugin
editThis functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.
To develop a new Java filter for Logstash, you write a new Java class that conforms to the Logstash Java Filters API, package it, and install it with the logstash-plugin utility. We’ll go through each of those steps.
Set up your environment
editCopy the example repo
editStart by copying the example filter plugin. The plugin API is currently part of the
Logstash codebase so you must have a local copy of that available. You can
obtain a copy of the Logstash codebase with the following git
command:
git clone --branch <branch_name> --single-branch https://github.com/elastic/logstash.git <target_folder>
The branch_name
should correspond to the version of Logstash containing the
preferred revision of the Java plugin API.
The experimental version of the Java plugin API is available in the 6.6
branch of the Logstash codebase.
Specify the target_folder
for your local copy of the Logstash codebase. If you
do not specify target_folder
, it defaults to a new folder called logstash
under your current folder.
Generate the .jar file
editAfter you have obtained a copy of the appropriate revision of the Logstash
codebase, you need to compile it to generate the .jar file containing the Java
plugin API. From the root directory of your Logstash codebase ($LS_HOME), you
can compile it with ./gradlew assemble
(or gradlew.bat assemble
if you’re
running on Windows). This should produce the
$LS_HOME/logstash-core/build/libs/logstash-core-x.y.z.jar
where x
, y
, and
z
refer to the version of Logstash.
After you have successfully compiled Logstash, you need to tell your Java plugin
where to find the logstash-core-x.y.z.jar
file. Create a new file named
gradle.properties
in the root folder of your plugin project. That file should
have a single line:
LOGSTASH_CORE_PATH=<target_folder>/logstash-core
where target_folder
is the root folder of your local copy of the Logstash codebase.
Code the plugin
editThe example filter plugin allows one to configure a field in each event that
will be reversed. For example, if the filter were configured to reverse the
day_of_week
field, an event with day_of_week: "Monday"
would be transformed
to day_of_week: "yadnoM"
. Let’s look at the main class in that example filter:
import org.apache.commons.lang3.StringUtils; @LogstashPlugin(name = "java_filter_example") public class JavaFilterExample implements Filter { public static final PluginConfigSpec<String> SOURCE_CONFIG = Configuration.stringSetting("source", "message"); private String sourceField; public JavaFilterExample(Configuration config, Context context) { this.sourceField = config.get(SOURCE_CONFIG); } @Override public Collection<Event> filter(Collection<Event> events) { for (Event e : events) { Object f = e.getField(sourceField); if (f instanceof String) { e.setField(sourceField, StringUtils.reverse((String)f)); } } return events; } @Override public Collection<PluginConfigSpec<?>> configSchema() { return Collections.singletonList(SOURCE_CONFIG); } }
Let’s step through and examine each part of that class.
Class declaration
edit@LogstashPlugin(name = "java_filter_example") public class JavaFilterExample implements Filter {
Notes about the class declaration:
-
All Java plugins must be annotated with the
@LogstashPlugin
annotation. Additionally:-
The
name
property of the annotation must be supplied and defines the name of the plugin as it will be used in the Logstash pipeline definition. For example, this filter would be referenced in the filter section of the Logstash pipeline defintion asfilter { java_filter_example => { .... } }
-
The value of the
name
property must match the name of the class excluding casing and underscores.
-
The
-
The class must implement the
co.elastic.logstash.api.v0.Filter
interface.
Plugin settings
editThe snippet below contains both the setting definition and the method referencing it:
public static final PluginConfigSpec<String> SOURCE_CONFIG = Configuration.stringSetting("source", "message"); @Override public Collection<PluginConfigSpec<?>> configSchema() { return Collections.singletonList(SOURCE_CONFIG); }
The PluginConfigSpec
class allows developers to specify the settings that a plugin supports complete with setting
name, data type, deprecation status, required status, and default value. In this example, the source
setting defines
the name of the field in each event that will be reversed. It is not a required setting and if it is not explicitly
set, its default value will be message
.
The configSchema
method must return a list of all settings that the plugin supports. In a future phase of the
Java plugin project, the Logstash execution engine will validate that all required settings are present and that
no unsupported settings are present.
Constructor and initialization
editprivate String sourceField; public JavaFilterExample(Configuration config, Context context) { this.sourceField = config.get(SOURCE_CONFIG); }
All Java filter plugins must have a constructor taking both a Configuration
and Context
argument. This is the constructor that will be used to instantiate
them at runtime. The retrieval and validation of all plugin settings should
occur in this constructor. In this example, the name of the field to be reversed
in each event is retrieved from its setting and stored in a local variable so
that it can be used later in the filter
method.
Any additional initialization may occur in the constructor as well. If there are any unrecoverable errors encountered in the configuration or initialization of the filter plugin, a descriptive exception should be thrown. The exception will be logged and will prevent Logstash from starting.
Filter method
edit@Override public Collection<Event> filter(Collection<Event> events) { for (Event e : events) { Object f = e.getField(sourceField); if (f instanceof String) { e.setField(sourceField, StringUtils.reverse((String)f)); } } return events;
Finally, we come to the filter
method that is invoked by the Logstash
execution engine on batches of events as they flow through the event processing
pipeline. The events to be filtered are supplied in the events
argument and
the method should return a collection of filtered events. Filters may perform a
variety of actions on events as they flow through the pipeline including:
-
Mutation — Fields in events may be added, removed, or changed by a filter. This
is the most common scenario for filters that perform various kinds of
enrichment on events. In this scenario, the incoming
events
collection may be returned unmodified since the events in the collection are mutated in place. - Deletion — Events may be removed from the event pipeline by a filter so that subsequent filters and outputs do not receive them. In this scenario, the events to be deleted must be removed from the collection of filtered events before it is returned.
- Creation — A filter may insert new events into the event pipeline that will be seen only by subsequent filters and outputs. In this scenario, the new events must be added to the collection of filtered events before it is returned.
-
Observation — Events may pass unchanged by a filter through the event pipeline.
This may be useful in scenarios where a filter performs external actions (e.g.,
updating an external cache) based on the events observed in the event pipeline.
In this scenario, the incoming
events
collection may be returned unmodified since no changes were made.
In the example above, the value of the source
field is retrieved from each
event and reversed if it is a string value. Because each event is mutated in
place, the incoming events
collection can be returned.
Unit tests
editLastly, but certainly not least importantly, unit tests are strongly encouraged. The example filter plugin includes an example unit test that you can use as a template for your own.
Package and deploy
editJava plugins are packaged as Ruby gems for dependency management and interoperability with Ruby plugins.
One of the goals for Java plugin support is to eliminate the need for any
knowledge of Ruby or its toolchain for Java plugin development. Future phases of
the Java plugin project will automate the packaging of Java plugins as Ruby gems
so no direct knowledge of or interaction with Ruby will be required. In the
current phase, Java plugins must still be manually packaged as Ruby gems
and installed with the logstash-plugin
utility.
Compile to JAR file
editThe Java plugin should be compiled and assembled into a fat jar with the
vendor
task in the Gradle build file. This will package all Java dependencies
into a single jar and write it to the correct folder for later packaging into a
Ruby gem.
Manually package as Ruby gem
editSeveral Ruby source files are required to package the jar file as a Ruby gem. These Ruby files are used only at Logstash startup time to identify the Java plugin and are not used during runtime event processing.
These Ruby source files will be automatically generated in a future release.
logstash-filter-<filter-name>.gemspec
Gem::Specification.new do |s| s.name = 'logstash-filter-java_filter_example' s.version = PLUGIN_VERSION s.licenses = ['Apache-2.0'] s.summary = "Example filter using Java plugin API" s.description = "" s.authors = ['Elasticsearch'] s.email = 'info@elastic.co' s.homepage = "http://www.elastic.co/guide/en/logstash/current/index.html" s.require_paths = ['lib', 'vendor/jar-dependencies'] # Files s.files = Dir["lib/**/*","spec/**/*","*.gemspec","*.md","CONTRIBUTORS","Gemfile","LICENSE","NOTICE.TXT", "vendor/jar-dependencies/**/*.jar", "vendor/jar-dependencies/**/*.rb", "VERSION", "docs/**/*"] # Special flag to let us know this is actually a logstash plugin s.metadata = { 'logstash_plugin' => 'true', 'logstash_group' => 'filter'} # Gem dependencies s.add_runtime_dependency "logstash-core-plugin-api", ">= 1.60", "<= 2.99" s.add_runtime_dependency 'jar-dependencies' s.add_development_dependency 'logstash-devutils' end
You can use this file with the following modifications:
-
s.name
must follow thelogstash-filter-<filter-name>
pattern -
s.version
must match theproject.version
specified in thebuild.gradle
file.
lib/logstash/filters/<filter-name>.rb
# encoding: utf-8 require "logstash/filters/base" require "logstash/namespace" require "logstash-filter-java_filter_example_jars" require "java" class LogStash::Filters::JavaFilterExample < LogStash::Filters::Base config_name "java_filter_example" def self.javaClass() org.logstash.javaapi.JavaFilterExample.java_class; end end
Modify these items in the file above:
- Change the name to correspond with the filter name.
-
Change
require "logstash-filter-java_filter_example_jars"
to reference the appropriate "jars" file as described below. -
Change
class LogStash::Filters::JavaFilterExample < LogStash::Filters::Base
to provide a unique and descriptive Ruby class name. -
Change
config_name "java_filter_example"
to match the name of the plugin as specified in thename
property of the@LogstashPlugin
annotation. -
Change
def self.javaClass() org.logstash.javaapi.JavaFilterExample.java_class; end
to return the class of the Java filter.
lib/logstash-filter-<filter-name>_jars.rb
require 'jar_dependencies' require_jar('org.logstash.javaapi', 'logstash-filter-java_filter_example', '0.0.1')
In the file above:
- Rename the file to correspond to the filter name.
-
Change the
require_jar
directive to correspond to thegroup
specified in the Gradle build file, the name of the filter JAR file, and the version as specified in both the gemspec and Gradle build file.
After you have created the previous files and the plugin JAR file, build the gem using the following command:
gem build logstash-filter-<filter-name>.gemspec
Installing the Java plugin in Logstash
editAfter you have packaged your Java plugin as a Ruby gem, you can install it in Logstash with this command:
bin/logstash-plugin install --no-verify --local /path/to/javaPlugin.gem
For Windows platforms: Substitute backslashes for forward slashes as appropriate in the command.
Run Logstash with the Java filter plugin
editThe following is a minimal Logstash configuration that can be used to test that the Java filter plugin is correctly installed and functioning.
input { generator { message => "Hello world!" count => 1 } } filter { java_filter_example {} } output { stdout { codec => rubydebug } }
Copy the above Logstash configuration to a file such as java_filter.conf
.
Start Logstash with:
bin/logstash --java-execution -f /path/to/java_filter.conf
Note that the --java-execution
flag to enable the Java execution engine is
required as Java plugins are not supported in the Ruby execution engine.
The expected Logstash output (excluding initialization) with the configuration above is:
{ "sequence" => 0, "@version" => "1", "message" => "!dlrow olleH", "@timestamp" => yyyy-MM-ddThh:mm:ss.SSSZ, "host" => "<yourHostName>" }
Feedback
editIf you have any feedback on Java plugin support in Logstash, please comment on our main Github issue or post in the Logstash forum.