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This page is meant as a template for writing a KIP. To create a KIP choose Tools->Copy on this page and modify with your content and replace the heading with the next KIP number and a description of your issue. Replace anything in italics with your own description.

Status

Current state: Draft

Discussion thread: here

JIRA: here [

Please keep the discussion on the mailing list rather than commenting on the wiki (wiki discussions get unwieldy fast).

Motivation

Kafka exposes many pluggable points for users to bring their custom plugins. For complex and critical plugins it's important to have metrics to monitor their behavior. Plugins can use the Metrics class from the Kafka API but when creating a new Metrics instance, it does not inherits the tags from the components component it depends on (for example from a producer for a custom partitioner), or the registered metrics reporters. As most plugins are configurable, a workaround is to reimplement the tags and metric reporters logic but that is cumbersome.

This issue also applies to connectors and tasks in Kafka Connect. For example MirrorMaker2 creates its own Metrics object and adds has logic to add the metric reporters from the configuration.

Public Interfaces

Plugins

For client and server side plugins, I propose introducing a new interface Monitorable that plugins can implement. If a plugin implements this interface, withMetrics() will be called when the plugin is instantiated (after configure() if the plugin also implements Configurable).

Code Block
languagejava
titleMonitorable.java
package org.apache.kafka.common.metrics;

public interface Monitorable {

    /**
     * Get the Metrics instance from the componentclient that instantiates the plugin.
     */
    void withMetrics(Metrics Metrics);

}

Connectors/Tasks

For connectors and tasks, I propose adding a metrics(Metrics metrics) method to the SinkConnectorContext, SourceConnectorContext, SinkTaskContext and SourceTaskContext interfaces. To

Code Block
languagejava
/**
 * Retrieve the Metrics instance from the worker running this connector/task. Returns null if the runtime does not support this feature.
 */
default voidMetrics metrics(Metrics metrics) {
    return null;
}

Proposed Changes

When instantiating a class via the Utils.newInstance() helper methods, if it implements Monitorable and a Metrics object is available, useMetrics withMetrics() will be called with the current Metrics instance. It will be always called after configure().  Metrics registered by plugins will inherit the prefix/namespace from the current Metrics instance, these are: kafka.producer, kafka.consumer, kafka.connect, kafka.streams and kafka.server.

MirrorSourceConnector and MirrorCheckpointConnector currently register metrics using the kafka.connect.mirror prefix/namespace. If we update them with this proposal, their metrics will be renamed, for example from kafka.connect.mirror:type=MirrorSourceConnector to kafka.connect:type=MirrorSourceConnector.

Compatibility, Deprecation, and Migration Plan

This is a new feature so it has no impact on deprecation and does not need a migration plan. Regarding compatibility, plugins and connectors that start using this feature will have to handle Metrics not being available to support older broker/Connect versions. For regular plugins they should be able to function without a call to useMetricswithMetrics(), for connectors and tasks they should work even if handle the metrics() method returns nullreturning null when deployed on an older runtime.

Test Plan

Describe in few sentences how the KIP This feature will be tested . We are mostly interested in system tests (since unit-tests are specific to implementation details). How will we know that the implementation works as expected? How will we know nothing broke?

Rejected Alternatives

...

using unit and integration tests.

Rejected Alternatives

  • Create dedicated a Metrics instance for plugins: A dedicated instance could have its own prefix/namespace (for example kafka.consumer.plugins). This would allow grouping metrics from all plugins but it requires instantiating another Metrics instance and new metrics reporters.
  • Create a simpler PluginMetrics API: Instead of passing Metrics, a simpler API could be easier for plugins. It would also prevent plugins calling close() or removeMetrics() but since plugins execute code, administrators should only use plugins they trust.