Status

Current state: "Under Discussion"

Discussion thread: here

Vote thread: here

JIRA: KAFKA-19426

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

Motivation

Apache Kafka supports rack-aware partition assignment to improve fault tolerance and reduce cross-rack network traffic/cost. However, the current Admin API does not expose rack information for all type of consumer group members, despite this information being available at the protocol level.

Current State


The ConsumerGroupDescribeResponse (API Key 69) protocol includes a rackId field for each group member, as defined in the protocol specification:

{ "name": "RackId", "type": "string", "versions": "0+", 
  "nullableVersions": "0+", "default": "null",
  "about": "The member rack ID." }


However, when users call AdminClient.describeConsumerGroups(), the returned MemberDescription objects do not include this rack information. The rack ID is available in the wire protocol but is discarded during response processing in DescribeConsumerGroupsHandler.

The Similar case is for AdminClient.describeShareGroups():


Class

Type of Group

contain RackId? 

protocoal response contain rackId?

MemberDescription

Consumer Group

✅ 是

ShareMemberDescription

Share Group

❌ 

✅ 是

StreamsGroupMemberDescription

Streams Group

✅ 

✅ 是

Problem Statement


This limitation creates several issues:

  1. Monitoring and Observability: Operators cannot determine the rack distribution of consumer group members through the Admin API, making it difficult to verify that rack-aware assignment is working correctly.
  2. Inconsistency: Other group types expose rack information:

  3. Diagnostics: When troubleshooting rack-aware assignment issues or network problems, operators need to use lower-level tools or custom code to access rack information that should be readily available.
  4. Third-party Tools: Monitoring and management tools built on the Admin API cannot display rack information, limiting their usefulness for rack-aware deployments.

Take one example:  currently we have to implemen our AZ/Rack analysis using a workaround — passing the rack information into the clientId field and parsing it afterward.

kafkaConsumerConfig.customConfig(ConsumerConfig.CLIENT_ID_CONFIG, generateClientIdWithRack(ip, rack));


Public Interfaces

add dedicated public interface for this case:

/**
 * Simple callback interface for broker ready notification.
 */
public interface BrokerReadyCallback {
    /**
     * This method will be called during broker startup for the implementation
     * which needs delayed initialization until the broker can process requests.
     */
    void onBrokerReady();

}

add the interface into RemoteLogMetadataManager's implements with default implement.


public interface RemoteLogMetadataManager extends BrokerReadyCallback, Configurable, Closeable 

Proposed Changes

 You can refer to https://github.com/apache/kafka/pull/20203/files

 We postpone the TopicBasedRemoteLogMetadataManager's initialization part (quering metedata from remote topic) after the server is ready for the request. 

Then the retry time is reasonable without worried about different kafka clusters. and the connection not available log won't be seen.

Compatibility, Deprecation, and Migration Plan 

Test Plan

Describe in few sentences how the KIP 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

If there are alternative ways of accomplishing the same thing, what were they? The purpose of this section is to motivate why the design is the way it is and not some other way.