Release Dates

  • KIP Freeze:  (A KIP must be accepted by this date in order to be considered for this release. Note, any KIP that may not be implemented in a week, or that might destabilize the release, should be deferred.)
  • Feature Freeze:  (major features merged & working on stabilization, minor features have PR, release branch cut; anything not in this state will be automatically moved to the next release in JIRA)
  • Code Freeze:
  • At least two weeks of stabilization will follow Code Freeze.


These dates are goals and subject to change, but we expect to stay on the Time Based Release Plan unless unexpected critical issues come up. While the earliest possible release date is 2w after code freeze, release candidates (RCs) will roll out as needed until the release vote passes.

The release manager is Bruno Cadonna 

How to Contribute

Before code freeze:

  • Participate in votes and discussions to land or postpone the open KIPs.
  • Review patches. We anticipate that this release, as it usually happens, will be bottlenecked mostly on reviews. The more reviewers, the more content we can fit in.
  • Write unit/integration/system tests. We want to preserve the tradition of high-quality releases in Apache Kafka. 

After code freeze:

  • Write more unit/integration/system testsWe want to preserve the tradition of high-quality releases in Apache Kafka.
  • Improve documentation.
  • Test the release candidates. 
  • Open blocker JIRAs on critical issues found. Open non-blocker JIRAs on any other issues found.
  • Fix critical bugs.
  • Review bug fixes.
  • Vote on release candidates. Even though only PMC votes are binding, community votes are super important as we evaluate the readiness of the release.

Open Issues

key summary type created updated due assignee reporter customfield_12311032 customfield_12311037 customfield_12311022 customfield_12311027 priority status resolution

JQL and issue key arguments for this macro require at least one Jira application link to be configured


Also feel free to refer to this release page for more details of the included tickets (requires log in to the Apache Kafka Jira project).

Planned KIP Content

Note: The planned content is not binding - final content will be based the features committed by branch-cutting date. See Kafka Improvement Proposals for the full list of KIPs.

KIPJIRAComponent
KIP-815: Support max-timestamp in GetOffsetShell

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Tools
KIP-814: Static membership protocol should let the leader skip assignment

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Core/Clients
KIP-811: Add config repartition.purge.interval.ms to Kafka Streams

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Streams
KIP-810: Allow producing records with null values in Kafka Console Producer

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Clients
KIP-808: Add support for different unix precisions in TimestampConverter SMT

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Connect
KIP-806: Add session and window query over kv-store in IQv2

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Streams
KIP-805: Add range and scan query over kv-store in IQv2

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Streams
KIP-801: Implement an Authorizer that stores metadata in __cluster_metadata

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Core
KIP-800: Add reason to JoinGroupRequest and LeaveGroupRequest

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Core/Clients
KIP-798: Add possibility to write kafka headers in Kafka Console Producer

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Clients
KIP-796: Interactive Query v2

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Streams
KIP-791: Add Record Metadata to StateStoreContext

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Streams
KIP-788: Allow configuring num.network.threads per listener

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Core
KIP-784: Add top-level error code field to DescribeLogDirsResponse

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Core/Clients
KIP-779: Allow Source Tasks to Handle Producer Exceptions

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Connect
KIP-769: Connect APIs to list all connector plugins and retrieve their configuration definitions

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Connect
KIP-764: Configurable backlog size for creating Acceptor

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Core
KIP-708: Rack awareness for Kafka Streams

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Streams
KIP-704: Send a hint to the partition leader to recover the partition

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Core
KIP-591: Add Kafka Streams config to set default state store

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Streams
KIP-471: Expose RocksDB Metrics in Kafka Streams (implementation completed)

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Streams


Postponed to subsequent release

KIPJIRAComponent
KIP-812: Introduce another form of the `KafkaStreams.close()` API that forces the member to leave the consumer group

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Streams
KIP-726: Make the "cooperative-sticky, range" as the default assignor

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Clients
KIP-719: Deprecate Log4J Appender

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Core
KIP-709: Extend OffsetFetch requests to accept multiple group ids.

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Core/Clients
KIP-653: Upgrade log4j to log4j2

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All
KIP-627: Expose Trogdor-specific JMX Metrics for Tasks and Agents

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Trogdor
KIP-618: Exactly-Once Support for Source Connectors

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Connect
KIP-405: Kafka Tiered Storage

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Core
KIP-390: Support Compression Level

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Core/Clients
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