Micronaut Integration

Integration with Micronaut cannot be easier thanks to the jobrunr-micronaut-feature! There is even a complete example project available at https://github.com/jobrunr/example-micronaut

To add JobRunr to your Micronaut project, these are the steps you need to take:

1. Add the jobrunr-micronaut-feature dependency to your project
2. Configure JobRunr via the Micronaut application.yml file
3. Inject the JobScheduler or JobRequestScheduler bean and use it to create background jobs!

Do you want to create jobs that automatically participate in the transactions managed by Micronaut? Then checkout JobRunr Pro!

Add the dependency to the extension

As the Micronaut Integration is available in Maven Central, all you need to do is add this dependency:

Maven

<dependency> 
    <groupId>org.jobrunr</groupId> 
    <artifactId>jobrunr-micronaut-feature</artifactId> 
    <version>${jobrunr.version}</version> 
</dependency>

Gradle

implementation 'org.jobrunr:jobrunr-micronaut-feature:${jobrunr.version}'

Configure JobRunr

JobRunr can be configured easily in your application.yml. If you only want to schedule jobs, you don’t need to do anything. If you want to have a BackgroundJobServer to process background jobs or the dashboard enabled, just add the following properties to the application.yml:

jobrunr:
  background-job-server:
    enabled: true
  dashboard:
    enabled: true

These are disabled by default so that your web application does not start processing jobs by accident.

The jobrunr-micronaut-feature will try to either use an existing DataSource bean for relational databases or it will use one of the provided NoSQL client beans (like MongoClient for MongoDB, RestHighLevelClient for ElasticSearch and the Lettuce RedisClient for Redis).
If no such bean is defined, you will either need to define it or create a StorageProvider bean yourself.

Features

The JobRunr Micronaut integration not only adds distributed background Job Processing to your application but also adds health endpoints and micrometer performance counters to the metrics endpoint.

Advanced Configuration

Every aspect of JobRunr can be configured via the application.yaml. Below you will find all settings including their default value.

jobrunr:
  database:
    skip-create: false
    table_prefix: # allows to set a table prefix (e.g. schema for all tables)
    datasource: # allows to specify a DataSource specifically for JobRunr
    type: # if you have multiple supported storage providers available in your application (e.g. an SQL DataSource and Elasticsearch), it allows to specify which database to choose. Valid values are 'sql', 'mongodb', 'redis-lettuce', 'redis-jedis' and 'elasticsearch'.
  jobs:
    default-number-of-retries:10 #the default number of retries for a failing job
    retry-back-off-time-seed:3 #the default time seed for the exponential back-off policy.
  background-job-server:
    enabled: false
    worker-count: #this value normally is defined by the amount of CPU's that are available
    poll-interval-in-seconds: 15 #check for new work every 15 seconds
    delete-succeeded-jobs-after: 36
    permanently-delete-deleted-jobs-after: 72
    metrics:
      enabled: false #Micrometer integration - this was true in v5.
  dashboard:
    enabled: false
    port: 8000 #the port on which to start the dashboard
  miscellaneous:
    allow-anonymous-data-usage: true #this sends the amount of succeeded jobs for marketing purposes