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Release Dates

  • KIP Freeze: May 20, 2020 (a KIP must be accepted by this date in order to be considered for this release)
  • Feature Freeze: May 27, 2020 (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: June 10, 2020
  • Release: June 24, 2020


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 target release date is fixed at ~2w after code freeze, RCs will roll out as needed until the release vote passes.


The release manager is Randall Hauch.

Planned KIPs

KIPJIRAComponent
KIP-131 - Add access to OffsetStorageReader from SourceConnector

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Connect
KIP-158: Kafka Connect should allow source connectors to set topic-specific settings for new topics

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Connect
KIP-221: Enhance DSL with Connecting Topic Creation and Repartition Hint

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Streams
KIP-401: TransformerSupplier/ProcessorSupplier StateStore connecting

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Streams
KIP-437: Custom replacement for MaskField SMT

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Connect
KIP-441: Smooth Scaling Out for Kafka Streams (additional parts in 2.6)

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Streams
KIP-444: Augment metrics for Kafka Streams (additional parts in 2.6)

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Streams
KIP-446: Add changelog topic configuration to KTable suppress

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Streams
KIP-447: Producer scalability for exactly once semantics (remainder in 2.6)

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Streams
KIP-518: Allow listing consumer groups per state

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Core/Clients
KIP-546: Add Client Quota APIs to the Admin Client (remainder in 2.6)

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Core/Clients
KIP-551: Expose disk read and write metrics

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Core
KIP-557: Add emit on change support for Kafka Streams (partially complete in 2.6)

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Streams
KIP-568: Explicit rebalance triggering on the Consumer

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Core/Clients
KIP-569: DescribeConfigsResponse - Update the schema to include additional metadata information of the field

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Core/Clients
KIP-570: Add leader epoch in StopReplicaRequest

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Core
KIP-571: Add option to force remove members in StreamsResetter

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Streams
KIP-574: CLI Dynamic Configuration with file input

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Core
KIP 577: Allow HTTP Response Headers to be Configured for Kafka Connect

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Connect
KIP-585: Filter and Conditional SMTs

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Connect
KIP-586: Deprecate commit records without record metadata

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Connect
KIP-594: Expose output topic names from TopologyTestDriver

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Streams
KIP-605: Expand Connect Worker Internal Topic Settings

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Connect
KIP-606: Add Metadata Context to MetricsReporter

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Core/Connect/Streams
KIP-610: Error Reporting in Sink Connectors

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Connect
KIP-613: Add end-to-end latency metrics to Streams (partially complete in 2.6)

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Streams


Postponed KIPs

KIPJIRAComponent
KIP-81: Bound Fetch memory usage in the consumer

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Clients
KIP-280: Enhanced log compaction

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Core
KIP-359: Verify leader epoch in produce requests

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Core
KIP-441: Smooth Scaling Out for Kafka Streams (remainder)

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Streams
KIP-444: Augment metrics for Kafka Streams (remainder)

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Streams
KIP-466: Add support for List<T> serialization and deserialization

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Streams/Clients
KIP-497: Add inter-broker API to alter ISR

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Core
KIP-557: Add emit on change support for Kafka Streams (remainder)

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Streams
KIP-580: Exponential Backoff for Kafka Clients

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Core/Clients
KIP-584: Versioning scheme for features

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Core/Clients
KIP-588: Allow producers to recover gracefully from transaction timeouts

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Core/Clients
KIP-608 - Expose Kafka Metrics in Authorizer

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Core
KIP-611: Improved Handling of Abandoned Connectors and Tasks

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Connect
KIP-612: Ability to Limit Connection Creation Rate on Brokers

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Core
KIP-613: Add end-to-end latency metrics to Streams (remainder)

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Streams






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 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 RCs. Even though only PMC votes are binding, community votes are super important as we evaluate the readiness of the release


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