Karafka contains multiple configuration options. To keep everything organized, all the configuration options were divided into two groups:

• root karafka options - options directly related to the Karafka framework and its components.

• kafka scoped librdkafka options - options related to librdkafka

To apply all those configuration options, you need to use the #setup method from the Karafka::App class:

class KarafkaApp < Karafka::App
  setup do |config|
    config.client_id = 'my_application'
    # librdkafka configuration options need to be set as symbol values
    config.kafka = {
      'bootstrap.servers': '127.0.0.1:9092'
    }
  end
end

!!! note ""

Karafka allows you to redefine some of the settings per each topic, which means that you can have a specific custom configuration that might differ from the default one configured at the app level. This allows you for example, to connect to multiple Kafka clusters.

!!! note ""

kafka `client.id` is a string passed to the server when making requests. This is to track the source of requests beyond just IP/port by allowing a logical application name to be included in server-side request logging. Therefore the `client_id` should be shared across multiple instances in a cluster or horizontally scaled application but distinct for each application.

A list of all the karafka configuration options with their details and defaults can be found here.

A list of all the configuration options related to librdkafka with their details and defaults can be found here.

For additional setup and/or configuration tasks, you can use the app.initialized event hook. It is executed once per process, right after all the framework components are ready (including those dynamically built). It can be used, for example, to configure some external components that need to be based on Karafka internal settings.

Because of how the Karafka framework lifecycle works, this event is triggered after the #setup is done. You need to subscribe to this event before that happens, either from the #setup block or before.

class KarafkaApp < Karafka::App
  setup do |config|
    # All the config magic

    # Once everything is configured and done, assign Karafka app logger as a MyComponent logger
    # @note This example does not use config details, but you can use all the config values
    #   to setup your external components
    config.monitor.subscribe('app.initialized') do
      MyComponent::Logging.logger = Karafka::App.logger
    end
  end
end

There are several env settings you can use with Karafka. They are described under the Env Variables section of this Wiki.

Kafka lets you compress your messages as they travel over the wire. By default, producer messages are sent uncompressed.

Karafka producer (WaterDrop) supports following compression types:

• gzip
• zstd
• lz4
• snappy

You can enable the compression by using the compression.codec and compression.level settings:

class KarafkaApp < Karafka::App
  setup do |config|
    config.kafka = {
      # Other kafka settings...
      'compression.codec': 'gzip',
      'compression.level': '12'
    }
  end
end

!!! note ""

In order to use `zstd`, you need to install `libzstd-dev`:

```bash
apt-get install -y libzstd-dev
```

When working with Karafka, it is crucial to understand the different configurations available, as these settings directly influence how Karafka interacts with your application code and the underlying Kafka infrastructure.

The root configuration within the setup block of Karafka pertains directly to the Karafka framework and its components. This includes settings that influence the behavior of your Karafka application at a fundamental level, such as client identification, logging preferences, and consumer groups details.

Example of root configuration:

class KarafkaApp < Karafka::App
  setup do |config|
    config.client_id = 'my_application'
    config.initial_offset = 'latest'
  end
end

librdkafka configuration options are specified within the same setup block but scoped specifically under the kafka key. These settings are passed directly to the librdkafka library, the underlying Kafka client library that Karafka uses. This includes configurations for Kafka connections, such as bootstrap servers, SSL settings, and timeouts.

Example of librdkafka scoped options:

class KarafkaApp < Karafka::App
  setup do |config|
    config.kafka = {
      'bootstrap.servers': '127.0.0.1:9092',
      'ssl.ca.location': '/etc/ssl/certs'
    }
  end
end

Karafka also supports the Admin Configs API, which is designed to view and manage configurations at the Kafka broker and topic levels. These settings are different from the client configurations (root and Kafka scoped) as they pertain to the infrastructure level of Kafka itself rather than how your application interacts with it.

Examples of these settings include:

• Broker Configurations: Like log file sizes, message sizes, and default retention policies.

• Topic Configurations: Such as partition counts, replication factors, and topic-level overrides for retention.

To put it in perspective, these configurations can be likened to those in a database. Just as a database has client, database, and table configurations, Kafka has its own set of configurations at different levels.

• Client Configurations: Similar to client-specific settings in SQL databases, such as query timeouts or statement timeouts.

• Database Configurations: Analogous to database-level settings such as database encoding, connection limits, or default transaction isolation levels.

• Table Configurations: Similar to table-specific settings like storage engine choices or per-table cache settings in a database.

These infrastructural settings are crucial for managing Kafka more efficiently. They ensure that the Kafka cluster is optimized for both performance and durability according to the needs of the applications it supports.

!!! Hint "Managing Topics Configuration with Declarative Topics API"

If you want to manage topic configurations more effectively, we recommend using Karafka's higher-level API, Declarative Topics. This API simplifies defining and managing your Kafka topics, allowing for clear and concise topic configurations within your application code. For detailed usage and examples, refer to our comprehensive guide on [Declarative Topics](https://karafka.io/docs/Librdkafka-Configuration/).