With "merge.repartition.topic" optimization enabled, Kafka Streams tries
to push repartition topics upstream, to be able to merge multiple
repartition topics from different downstream branches together.
However, it is not safe to push a repartition topic if the parent node
is value-changing: because of potentially changing data types, the
topology might become invalid, and fail with serde error at runtime.
The optimization itself work correctly, however, processValues() is not
correctly declared as value-changing, what can lead to invalid
topologies.
Reviewers: Bill Bejeck <bill@confluent.io>, Lucas Brutschy
<lbrutschy@confluent.io>
It looks like we are checking for properties that are not guaranteed
under at_least_once, for example, exact counting (not allowing for
overcounting).
This change relaxes the validation constraint:
The TAGG topic contains effectively count-by-count results. So for
example, if we have the input without duplication
0 -> 1,2,3 we will get in TAGG 3 -> 1, since 1 key had 3 values.
with duplication:
0 -> 1,1,2,3 we will get in TAGG 4 -> 1, since 1 key had 4 values.
This makes the result difficult to compare. Since we run the smoke test
also with Exactly_Once, I propose to disable validation off TAGG under
ALOS.
Similarly, the topic AVG may overcount or undercount. The test case is
extremely similar to DIF, both performing a join and two streams, the
only difference being the mathematical operation performed, so we can
also disable this validation under ALOS with minimal loss of coverage.
Finally, the change fixes a bug that would throw a NPE when validation
of a windowed stream would fail.
Reviewers: Kirk True <kirk@kirktrue.pro>, Matthias J. Sax
<matthias@confluent.io>
The previous URL http://lambda-architecture.net/ seems to now be controlled by spammers
Co-authored-by: Shashank <hsshashank.grad@gmail.com>
Reviewers: Mickael Maison <mickael.maison@gmail.com>
The `state-change.log` file is being incorrectly rotated to
`stage-change.log.[date]`. This change fixes the typo to have the log
file correctly rotated to `state-change.log.[date]`
_No functional changes._
Reviewers: Mickael Maison <mickael.maison@gmail.com>, Christo Lolov
<lolovc@amazon.com>, Luke Chen <showuon@gmail.com>, Ken Huang
<s7133700@gmail.com>, TengYao Chi <kitingiao@gmail.com>, Chia-Ping Tsai
<chia7712@gmail.com>
Along with the change: https://github.com/apache/kafka/pull/17952
([KIP-966](https://cwiki.apache.org/confluence/display/KAFKA/KIP-966%3A+Eligible+Leader+Replicas)),
the semantics of `min.insync.replicas` config has small change, and add
some constraints. We should document them clearly.
Reviewers: Jun Rao <junrao@gmail.com>, Calvin Liu <caliu@confluent.io>,
Mickael Maison <mickael.maison@gmail.com>, Paolo Patierno
<ppatierno@live.com>, Federico Valeri <fedevaleri@gmail.com>, Chia-Ping
Tsai <chia7712@gmail.com>
All state updater threads use the same metrics instance, but do not use
unique names for their sensors. This can have the following symptoms:
1) Data inserted into one sensor by one thread can affect the metrics of
all state updater threads.
2) If one state updater thread is shutdown, the metrics associated to
all state updater threads are removed.
3) If one state updater thread is started, while another one is removed,
it can happen that a metric is registered with the `Metrics` instance,
but not associated to any `Sensor` (because it is concurrently removed),
which means that the metric will not be removed upon shutdown. If a
thread with the same name later tries to register the same metric, we
may run into a `java.lang.IllegalArgumentException: A metric named ...
already exists`, as described in the ticket.
This change fixes the bug giving unique names to the sensors. A test is
added that there is no interference of the removal of sensors and
metrics during shutdown.
Reviewers: Matthias J. Sax <matthias@confluent.io>
Follow up on https://github.com/apache/kafka/pull/20241.
Delete the instruction that manually set `streams.version=1` for running
Kafka 4.1 since it is already achieved in previous setup steps.
Reviewers: Lucas Brutschy <lucasbru@apache.org>
The changes update the OpenJDK base image from 17-buster to 17-bullseye:
- Updates tests/docker/Dockerfile to use openjdk:17-bullseye instead of
openjdk:17-buster
- Updates tests/docker/ducker-ak script to use the new default image
- Updates documentation in tests/README.md with the new image name
examples
Reviewers: Federico Valeri <fedevaleri@gmail.com>, TengYao Chi
<kitingiao@gmail.com>, Ken Huang <s7133700@gmail.com>, Chia-Ping Tsai
<chia7712@gmail.com>
This patch fixes the bug that allows the last known leader to be elected as a partition leader while still in a fenced state, before the next heartbeat removes the fence.
https://issues.apache.org/jira/browse/KAFKA-19522
Reviewers: Jun Rao <junrao@gmail.com>, TengYao Chi
<frankvicky@apache.org>
* Coordinator starts with a smaller buffer, which can grow as needed.
* In freeCurrentBatch, release the appropriate buffer:
* The Coordinator recycles the expanded buffer
(`currentBatch.builder.buffer()`), not `currentBatch.buffer`, because
`MemoryBuilder` may allocate a new `ByteBuffer` if the existing one
isn't large enough.
* There are two cases that buffer may exceeds `maxMessageSize` 1.
If there's a single record whose size exceeds `maxMessageSize` (which,
so far, is derived from `max.message.bytes`) and the write is in
`non-atomic` mode, it's still possible for the buffer to grow beyond
`maxMessageSize`. In this case, the Coordinator should revert to using a
smaller buffer afterward. 2. Coordinator do not recycles the buffer
that larger than `maxMessageSize`. If the user dynamically reduces
`maxMessageSize` to a value even smaller than `INITIAL_BUFFER_SIZE`, the
Coordinator should avoid recycling any buffer larger than
`maxMessageSize` so that Coordinator can allocate the smaller buffer in
the next round.
* Add tests to verify the above scenarios.
Reviewers: David Jacot <djacot@confluent.io>, Sean Quah
<squah@confluent.io>, Ken Huang <s7133700@gmail.com>, PoAn Yang
<payang@apache.org>, TaiJuWu <tjwu1217@gmail.com>, Jhen-Yung Hsu
<jhenyunghsu@gmail.com>, Chia-Ping Tsai <chia7712@gmail.com>
Removing the isEligibleLeaderReplicasV1Enabled to let ELR be enabled if
MV is at least 4.1IV1. Also bump the Latest Prod MV to 4.1IV1
Reviewers: Jun Rao <junrao@gmail.com>
The `AdminClient` adds a telemetry reporter to the metrics reporters
list in the constructor. The problem is that the reporter was already
added in the `createInternal` method. In the `createInternal` method
call, the `clientTelemetryReporter` is added to a
`List<MetricReporters>` which is passed to the `Metrics` object, will
get closed when `Metrics.close()` is called. But adding a reporter to
the reporters list in the constructor is not used by the `Metrics`
object and hence doesn't get closed, causing a memory leak.
All related tests pass after this change.
Reviewers: Apoorv Mittal <apoorvmittal10@apache.org>, Matthias J. Sax
<matthias@confluent.io>, Chia-Ping Tsai <chia7712@gmail.com>,
Jhen-Yung Hsu <jhenyunghsu@gmail.com>
Update the documentation to describe how to upgrade the kraft feature
version from 0 to 1.
Reviewers: Mickael Maison <mickael.maison@gmail.com>, Alyssa Huang
<ahuang@confluent.io>
This fixes librdkafka older than the recently released 2.11.0 with
Kerberos authentication and Apache Kafka 4.x.
Even though this is a bug in librdkafka, a key goal of KIP-896 is not to
break the popular client libraries listed in it. Adding back JoinGroup
v0 & v1 is a very small change and worth it from that perspective.
Reviewers: Chia-Ping Tsai <chia7712@gmail.com>
- Metadata doesn't have the full view of topicNames to ids during
rebootstrap of client or when topic has been deleted/recreated. The
solution is to pass down topic id and stop trying to figure it out later
in the logic.
---------
Co-authored-by: Kirk True <kirk@kirktrue.pro>
Use Java to rewrite ProducerSendWhileDeletionTest by new test infra and
move it to client-integration-tests module.
Reviewers: Chia-Ping Tsai <chia7712@gmail.com>
* When a `ShareGroup*` record is replayed in group metadata manager,
there is a call to check if the group exists. If the group does not
exist - we are throwing an exception which is unnecessary.
* In this PR, we have added check to ignore this exception.
* New test to validate the logic has been added.
Reviewers: Apoorv Mittal <apoorvmittal10@gmail.com>
Note: cherry pick from PR https://github.com/apache/kafka/pull/20076 in
trunk.
* The `GroupCoordinatorService.onPartitionsDeleted` code and
`GroupMetadataManager.shareGroupBuildPartitionDeleteRequest` code looks
up the metadata image to find topic name/partitions for topic ids.
* If the topic id is not present in the image, it will throw an NPE
resulting in crash.
* This PR aims to solve the issue.
Reviewers: Andrew Schofield <aschofield@confluent.io>
Adds documentation to support the OAuth additions from KIP-768 and
KIP-1139.
The existing documentation is heavily geared toward Kafka's support for
non-production OAuth usage. Since this mode is still supported, it
should not be removed. However, with the addition of the production
OAuth usage, the documentation is less than succinct because it has a
bit of a split personality issue.
Basic documentation describing: - That it's in EA now
- What it does
- What features are not yet supported
- How to enable it / disable it
- Any changes in the interfaces
- kafka-streams-groups.sh
- StreamsGroupDescribe
- How to provide feedback
Reviewers: Andrew Schofield <aschofield@confluent.io>, Matthias J. Sax
<matthias@confluent.io>
---------
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Matthias J. Sax <mjsax@apache.org>
When sensors are shared between different metric groups, data from all
groups is combined and added to all metrics under each sensor. This
means that different metric groups will report the same values for their
metrics.
Prefix sensor names with metric group names to isolate metric groups.
Reviewers: Yung <yungyung7654321@gmail.com>, Sushant Mahajan
<smahajan@confluent.io>, Dongnuo Lyu <dlyu@confluent.io>, TengYao Chi
<frankvicky@apache.org>
# Conflicts:
# coordinator-common/src/test/java/org/apache/kafka/coordinator/common/runtime/CoordinatorRuntimeMetricsImplTest.java
The OffsetFetch API does not support top level errors in version 1.
Hence, the top level error must be returned at the partition level.
Side note: It is a tad annoying that we create error response in
multiple places (e.g. KafkaApis, Group CoordinatorService). There were a
reason for this but I cannot remember.
Reviewers: Dongnuo Lyu <dlyu@confluent.io>, Sean Quah <squah@confluent.io>, Ken Huang <s7133700@gmail.com>, TengYao Chi <frankvicky@apache.org>
KIP-1071 does not currently support all features planned in the KIP. We
should reject any requests that are using features that are currently
not implemented.
Reviewers: Chia-Ping Tsai <chia7712@gmail.com>, Matthias J. Sax
<matthias@confluent.io>, Bill Bejeck <bill@confluent.io>
ConsumerGroupDescribe with an empty group id returns a response containing `null` groupId in a non-nullable field. Since the response cannot be serialized, this results in UNKNOWN_SERVER_ERROR being returned to the client. This PR sets the group id in the response to an empty string instead and adds request tests for empty group id.
Reviewers: David Jacot <djacot@confluent.io>, Chia-Ping Tsai <chia7712@gmail.com>
The metric for oldest-iterator-open-since-ms might report a null value
if there is not open iterator.
This PR changes the behavior to dynamically register/deregister the
entire metric instead of allowing it to return a null value.
Reviewers: Bill Bejeck <bbejeck@apache.org>
https://issues.apache.org/jira/browse/KAFKA-19383 When applying the
ClearElrRecord, it may pick up the topicId in the image without checking
if the topic has been deleted. This can cause the creation of a new
TopicRecord with an old topic ID.
Reviewers: Alyssa Huang <ahuang@confluent.io>, Artem Livshits <alivshits@confluent.io>, Colin P. McCabe <cmccabe@apache.org>
No conflicts.