Creating a Metricbeat Moduleedit

Metricbeat modules are used to group multiple metricsets together and to implement shared functionality of the metricsets. In most cases, no implementation of the module is needed and the default module implementation is automatically picked.

It’s important to complete the configuration and documentation files for a module. When you create a new metricset by running make create-metricset, default versions of these files are generated in the _meta directory.

Module Filesedit

  • config.yml and config.reference.yml
  • docs.asciidoc
  • fields.yml

After updating any of these files, make sure you run make update in your beat directory so all generated files are updated.

config.yml and config.reference.ymledit

The config.yml file contains the basic configuration options and looks like this:

- module: {module}
  metricsets: ["{metricset}"]
  enabled: false
  period: 10s
  hosts: ["localhost"]

It contains the module name, your metricset, and the default period. If you have multiple metricsets in your module, make sure that you extend the metricset array:

  metricsets: ["{metricset1}", "{metricset2}"]

The full.config.yml file is optional and by default has the same content as the config.yml. It is used to add and document more advanced configuration options that should not be part of the minimal config file shipped by default.

docs.asciidocedit

The dosc.asciidoc file contains the documentation about your module. During generation of the documentation, the default config file will be appended to the docs. Use this file to describe your module in more detail and to document specific configuration options.

This is the {module} module.
fields.ymledit

The fields.yml file contains the top level structure for the fields in your metricset. It’s used in combination with the fields.yml file in each metricset to generate the template and documentation for the fields.

The default file looks like this:

- key: {module}
  title: "{module}"
  release: beta
  description: >
    {module} module
  fields:
    - name: {module}
      type: group
      description: >
      fields:

Make sure that you update at least the description of the module.

Testingedit

It’s a common pattern to use a testing.go file in the module package to share some testing functionality among the metricsets. This file does not have _test.go in the name because otherwise it would not be compiled for sub packages.

To see an example of the testing.go file, look at the mysql module.

Test a Metricbeat module manuallyedit

To test a Metricbeat module manually, follow the steps below.

First we have to build the Docker image which is available for the modules. The Dockerfile is located inside a _meta folder within each module folder. As an example let’s take MySQL module.

This steps assume you have checked out the Beats repository from Github and are inside beats directory. First, we have to enter in the _meta folder mentioned above and build the Docker image called metricbeat-mysql:

``` $ cd metricbeat/module/mysql/_meta/ $ docker build -t metricbeat-mysql . … Removing intermediate container 0e58cfb7b197 --→ 9492074840ea Step 5/5 : COPY test.cnf /etc/mysql/conf.d/test.cnf --→ 002969e1d810 Successfully built 002969e1d810 Successfully tagged metricbeat-mysql:latest ```

Before we run the container we have just created, we also need to know which port to expose. The port is listed in the metricbeat/{module}/_meta/env file:

``` $ cat env MYSQL_DSN=root:test@tcp(mysql:3306)/ MYSQL_HOST=mysql MYSQL_PORT=3306 ```

As we see, the port is 3306. We now have all the information to start our MySQL service locally:

``` $ docker run -p 3306:3306 -e MYSQL_ROOT_PASSWORD=secret metricbeat-mysql ```

This starts the container and you can now use it for testing the MySQL module.

To run Metricbeat with the module we need to build the binary, enable the module first. The assumption is now that you are back in the beats folder path:

``` $ cd metricbeat $ mage build $ ./metricbeat modules enable mysql ```

This will enable the module and rename file metricbeat/modules.d/mysql.yml.disabled to metricbeat/modules.d/mysql.yml. According to our documentation we should specify username and password to user MySQL. It’s always a good idea to take a look at the docs to see also that a pre-built dashboard is also available. So tweaking the config a bit, this is how it looks like:

```yml $ cat modules.d/mysql.yml

# Module: mysql # Docs: https://www.elastic.co/guide/en/beats/metricbeat/master/metricbeat-module-mysql.html

  • module: mysql metricsets:
  • status # - galera_status period: 10s

    # Host DSN should be defined as "user:pass@tcp(127.0.0.1:3306)/"
    # The username and password can either be set in the DSN or using the username
    # and password config options. Those specified in the DSN take precedence.
    hosts: ["tcp(127.0.0.1:3306)/"]
    # Username of hosts. Empty by default.
    username: root
      # Password of hosts. Empty by default.
      password: secret
    ```

It’s now sending data to your local Elasticsearch instance. If you need to modify the mysql config, adjust modules.d/mysql.yml and restart Metricbeat.

Run Environment tests for one moduleedit

All the environments are setup with docker. make integration-tests-environment and make system-tests-environment can be used to run tests for all modules. In case you are developing a module it is convenient to run the tests only for one module and directly run it on your machine.

First you need to start the environment for your module to test and expose the port to your local machine. For this you can run the following command inside the metricbeat directory:

MODULE=apache PORT=80 make run-module

Note: The apache module with port 80 is taken here as an example. You must put the name and port for your own module here.

This will start the environment and you must wait until the service is completely started. After that you can run the test which require an environment:

MODULE=apache make test-module

This will run the integration and system tests connecting to the environment in your docker container.