Iterator#remove has a default implementation that throws UnsupportedOperatorException so there's no need to override it with the same thing.
Should be cherry-picked back to whenever we switched to Java 8
Reviewers: Bill Bejeck <bill@confluent.io>, Matthias J. Sax <matthias@confluent.io>, Guozhang Wang <guozhang@confluent.io>
InMemoryKeyValueStore uses ConcurrentSkipListMap#size which takes linear time as it iterates over the entire map. We should just track size ourselves for approximateNumEntries
Reviewers: Guozhang Wang <wangguoz@gmail.com>, Matthias J. Sax <mjsax@apache.org>
When calling readLogToEnd(), the KafkaBasedLog worker thread should catch TimeoutException and log a warning, which can occur if brokers are unavailable, otherwise the worker thread terminates.
Includes an enhancement to MockConsumer that allows simulating exceptions not just when polling but also when querying for offsets, which is necessary for testing the fix.
Author: Paul Whalen <pgwhalen@gmail.com>
Reviewers: Randall Hauch <rhauch@gmail.com>, Arjun Satish <arjun@confluent.io>, Ryanne Dolan <ryannedolan@gmail.com>
1. Add onPartitionsLost into the RebalanceListener, which will be triggered when the consumer found that the generation is reset due to fatal errors in response handling.
2. Semantical behavior change: with COOPERATIVE protocol, if the revoked / lost partitions are empty, do not trigger the corresponding callback at all. For added partitions though, even if it is empty we would still trigger the callback as a way to notify the rebalance event; with EAGER protocol, revoked / assigned callbacks are always triggered.
The ordering of the callback would be the following:
a. Callback onPartitionsRevoked / onPartitionsLost triggered.
b. Update the assignment (both revoked and added).
c. Callback onPartitionsAssigned triggered.
In this way we are assured that users can still access the partitions being revoked, whereas they can also access the partitions being added.
3. Semantical behavior change (KAFKA-4600): if the rebalance listener throws an exception, pass it along all the way to the consumer.poll caller, but still completes the rest of the actions. Also, the newly assigned partitions list does not gets affected with exception thrown since it is just for notifying the users.
4. Semantical behavior change: the ConsumerCoordinator would not try to modify assignor's returned assignments, instead it will validate that assignments and set the error code accordingly: if there are overlaps between added / revoked partitions, it is a fatal error and would be communicated to all members to stop; if revoked is not empty, it is an error indicate re-join; otherwise, it is normal.
5. Minor: with the error code removed from the Assignment, ConsumerCoordinator will request re-join if the revoked partitions list is not empty.
6. Updated ConsumerCoordinatorTest accordingly. Also found a minor bug in MetadataUpdate that removed topic would still be retained with null value of num.partitions.
6. Updated a few other flaky tests that are exposed due to this change.
Reviewers: John Roesler <vvcephei@users.noreply.github.com>, A. Sophie Blee-Goldman <sophie@confluent.io>, Jason Gustafson <jason@confluent.io>
Renames method names in StreamsMetricsImpl to make them consistent.
Reviewers: A. Sophie Blee-Goldman <sophie@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
Reviews: A. Sophie Blee-Goldman <sophie@confluent.io>, Bill Bejeck <bill@confluent.io>, Bruno Cadonna <bruno@confluent.io>, Boyang Chen <boyang@confluent.io>, Guozhang Wang <guozhang@confluent.io>
* Adds RocksDBMetrics class that provides methods to get sensors from the Kafka metrics registry and to setup the sensors to record RocksDB metrics
* Extends StreamsMetricsImpl with functionality to add the required metrics to the sensors.
Reviewers: Boyang Chen <boyang@confluent.io>, Bill Bejeck <bill@confluent.io>, Matthias J. Sax <matthias@confluent.io>, John Roesler <vvcephei@users.noreply.github.com>, Guozhang Wang <wangguoz@gmail.com>
Reviewers: Boyang Chen <boyang@confluent.io>, Guozhang Wang <guozhang@confluent.io>, Bill Bejeck <bill@confluent.io>, A. Sophie Blee-Goldman <sophie@confluent.io>
Follow up to new PartitionAssignor interface merged in 7108 is merged
Adds a PartitionAssignorAdapter class to maintain backwards compatibility
Reviewers: Boyang Chen <boyang@confluent.io>, Jason Gustafson <jason@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
This patch is part of KIP-345. We are aiming to support batch leave group request issued from admin client. This diff is the first effort to bump leave group request version.
Reviewers: Guozhang Wang <wangguoz@gmail.com>, Jason Gustafson <jason@confluent.io>
Main changes of this PR:
* Deprecate old consumer.internal.PartitionAssignor and add public consumer.ConsumerPartitionAssignor with all OOTB assignors migrated to new interface
* Refactor assignor's assignment/subscription related classes for easier to evolve API
* Removed version number from classes as it is only needed for serialization/deserialization
* Other previously-discussed cleanup included in this PR:
* Remove Assignment.error added in pt 1
* Remove ConsumerCoordinator#adjustAssignment added in pt 2
Reviewers: Boyang Chen <boyang@confluent.io>, Jason Gustafson <jason@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
* Clean up one redundant and one misplaced metric
* Clarify the relationship among these metrics to avoid future confusion
Reviewers: Matthias J. Sax <matthias@confluent.io>, Bill Bejeck <bill@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
The timestamp extractor takes a previousTimestamp parameter which should be the partition time. This PR adds back in partition time tracking for the extractor, and renames previousTimestamp --> partitionTime
Reviewers: Guozhang Wang <wangguoz@gmail.com>, Bill Bejeck <bbejeck@gmail.com>, Matthias J. Sax <mjsax@apache.org>
This PR is to use KeyValueTimeStamp Object in MockProcessor Test file instead of String and change all the dependency files with broken test cases.
Reviewers: Kamal Chandraprakash, Matthias J. Sax <mjsax@apache.org>, Boyang Chen <boyang@confluent.io>, Bill Bejeck <bbejeck@gmail.com>
Should be cherry-picked back to 2.3 (picked from 2.2 to 2.1 in 7077 )
Reviewers: pkleindl <44436474+pkleindl@users.noreply.github.com>, Matthias J. Sax <mjsax@apache.org>, Bill Bejeck <bbejeck@gmail.com>, Guozhang Wang <wangguoz@gmail.com>
The RegexSourceIntegrationTest has some flakiness as it deletes and re-creates the same output topic before each test. This PR reduces the chance for errors by creating a unique output topic for each test.
Reviewers: Matthias J. Sax <mjsax@apache.org>, Boyang Chen <boyang@confluent.io>
fix checkpoint file warning by filtering checkpointable offsets per task
clean up state manager hierarchy to prevent similar bugs
Reviewers: Bruno Cadonna <bruno@confluent.io>, Bill Bejeck <bbejeck@gmail.com>
Users often use the RocksDBConfigSetter to modify parameters such as cache or block size, which must be set through the BlockBasedTableConfig object. Rather than creating a new object in the config setter, however, users should most likely retrieve a reference to the existing one so as to not lose the other defaults (eg the BloomFilter)
There have been notes from the community that it is not obvious this should be done, nor is it immediately clear how to do so. This PR updates the RocksDBConfigSetter docs to hopefully improve things.
I also piggybacked a few minor cleanups in the docs
Reviewers: Kamal Chandraprakash, Jim Galasyn <jim.galasyn@confluent.io>, Bruno Cadonna <bruno@confluent.io>, Bill Bejeck <bbejeck@gmail.com>
This PR fixes a wrong input stream name in PipeDemo's javadoc.
Reviewers: Kamal Chandraprakash <kamal.chandraprakash@gmail.com>, Jason Gustafson <jason@confluent.io>
KIP-91 was included in Kafka 2.1.0, so we should mention
`delivery.timeout.ms` in the hint as it's the config that
users would want to change in most cases.
Reviewers: Matthias J. Sax <matthias@confluent.io>, John Roesler <john@confluent.io>, Bill Bejeck <bbejeck@gmail.com>, Guozhang Wang <wangguoz@gmail.com>
Scala 2.13 support was added to build via #5454. This PR adjusts the code so that
it compiles with 2.11, 2.12 and 2.13.
Changes:
* Add `scala-collection-compat` dependency.
* Import `scala.collection.Seq` in a number of places for consistent behavior between
Scala 2.11, 2.12 and 2.13.
* Remove wildcard imports that were causing the Java classes to have priority over the
Scala ones, related Scala issue: https://github.com/scala/scala/pull/6589.
* Replace parallel collection usage with `Future`. The former is no longer included by
default in the standard library.
* Replace val _: Unit workaround with one that is more concise and works with Scala 2.13
* Replace `filterKeys` with `filter` when we expect a `Map`. `filterKeys` returns a view
that doesn't implement the `Map` trait in Scala 2.13.
* Replace `mapValues` with `map` or add a `toMap` as an additional transformation
when we expect a `Map`. `mapValues` returns a view that doesn't implement the
`Map` trait in Scala 2.13.
* Replace `breakOut` with `iterator` and `to`, `breakOut` was removed in Scala
2.13.
* Replace to() with toMap, toIndexedSeq and toSet
* Replace `mutable.Buffer.--` with `filterNot`.
* ControlException is an abstract class in Scala 2.13.
* Variable arguments can only receive arrays or immutable.Seq in Scala 2.13.
* Use `Factory` instead of `CanBuildFrom` in DecodeJson. `CanBuildFrom` behaves
a bit differently in Scala 2.13 and it's been deprecated. `Factory` has the behavior
we need and it's available via the compat library.
* Fix failing tests due to behavior change in Scala 2.13,
"Map.values.map is not strict in Scala 2.13" (https://github.com/scala/bug/issues/11589).
* Use Java collections instead of Scala ones in StreamResetter (a Java class).
* Adjust CheckpointFile.write to take an `Iterable` instead of `Seq` to avoid
unnecessary collection copies.
* Fix DelayedElectLeader to use a Map instead of Set and avoid `to` call that
doesn't work in Scala 2.13.
* Use unordered map for mapping in SimpleAclAuthorizer, mapping of ordered
maps require an `Ordering` in Scala 2.13 for safety reasons.
* Adapt `ConsumerGroupCommand` to compile with Scala 2.13.
* CoreUtils.min takes an `Iterable` instead of `TraversableOnce`, the latter does
not exist in Scala 2.13.
* Replace `Unit` with `()` in a couple places. Scala 2.13 is stricter when it expects
a value instead of a type.
* Fix bug in CustomQuotaCallbackTest where we did not necessarily set `partitionRatio`
correctly, `forall` can terminate early.
* Add a couple of spotbugs exclusions that are needed by code generated by Scala 2.13
* Remove unused variables, simplify some code and remove procedure syntax in a few
places.
* Remove unused `CoreUtils.JSONEscapeString`.
Reviewers: Manikumar Reddy <manikumar.reddy@gmail.com>, José Armando García Sancio <jsancio@users.noreply.github.com>
The purpose here is to leverage static membership information during round robin consumer assignment, because persistent member id could help make the assignment remain the same during rebalance.
The comparison logic is changed to:
1. If member A and member B both have group.instance.id, then compare their group.instance.id
2. If member A has group.instance.id, while member B doesn't, then A < B
3. If both member A and B don't have group.instance.id, compare their member.id
In round robin assignor, we use ephemeral member.id to sort the members in order for assignment. This semantic is not stable and could trigger unnecessary shuffle of tasks. By leveraging group.instance.id the static member assignment shall be persist when satisfying following conditions:
1. number of members remain the same across generation
2. static members' identities persist across generation
Reviewers: A. Sophie Blee-Goldman <sophie@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
Sub-task required to allow to define custom processor names with KStreams DSL(KIP-307). This is the 4th PR for KIP-307.
Reviewers: John Roesler <john@confluent.io>, Bill Bejeck <bbejeck@gmail.com>
De-duplicate the common case in which the prior value is the same as the old value.
Reviewers: Sophie Blee-Goldman <sophie@confluent.io>, Bill Bejeck <bbejeck@gmail.com>
- Timeout occurred due to initial slow rebalancing.
- Added code to wait until `KafkaStreams` instance is in state RUNNING to check registration of metrics and in state NOT_RUNNING to check deregistration of metrics.
- I removed all other wait conditions, because they are not needed if `KafkaStreams` instance is in the right state.
Reviewers: Guozhang Wang <wangguoz@gmail.com>
Messages containing key and value were moved to the TRACE logging level, however the exception is still adding the key and value.
This commits remove the key and value from StreamsException.
Reviewers: Bill Bejeck <bbejeck@gmail.com>
The ResetIntegrationTest has experienced several failures and it seems the current timeout of 10 seconds may not be enough time
Reviewers: Matthias J. Sax <mjsax@apache.org>, Boyang Chen <boyang@confluent.io>
As title suggested, we boost 3 stream instances stream job with one minute session timeout, and once the group is stable, doing couple of rolling bounces for the entire cluster. Every rejoin based on restart should have no generation bump on the client side.
Reviewers: Guozhang Wang <wangguoz@gmail.com>, Bill Bejeck <bbejeck@gmail.com>
In RocksDBTimestampedStore#openRocksDB we try to open a db with two column families. If this succeeds but the first column family is empty (db.newIterator.seekToFirst.isValid() == false) we never actually close its ColumnFamilyHandle
Reviewers: Matthias J. Sax <matthias@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
Quick tech debt cleanup. For some reason StreamsPartitionAssignor uses an InternalTopicMetadata class which wraps an InternalTopicConfig object along with the number of partitions. But InternalTopicConfig already has a numPartitions field, so we should just use it directly instead.
Reviewers: Guozhang Wang <wangguoz@gmail.com>, Bruno Cadonna <bruno@confluent.io>, Bill Bejeck <bbejeck@gmail.com>
Reviewers: Bill Bejeck <bill@confluent.io>, Boyang Chen <boyang@confluent.io>, Bruno Cadonna <bruno@confluent.io>, Guozhang Wang <guozhang@confuent.io>
* StreamsMetricsImpl wraps the Kafka Streams' metrics registry and provides logic to create
and register sensors and their corresponding metrics. An example for such logic can be found in
threadLevelSensor(). Furthermore, StreamsMetricsmpl keeps track of the sensors on the
different levels of an application, i.e., thread, task, etc., and provides logic to remove sensors per
level, e.g., removeAllThreadLevelSensors(). There is one StreamsMetricsImpl object per
application instance.
* ThreadMetrics contains only static methods that specify all built-in thread-level sensors and
metrics and provide logic to register and retrieve those thread-level sensors, e.g., commitSensor().
* From anywhere inside the code base with access to StreamsMetricsImpl, thread-level sensors can be accessed by using ThreadMetrics.
* ThreadsMetrics does not inherit from StreamsMetricsImpl anymore.
Reviewers: A. Sophie Blee-Goldman <sophie@confluent.io>, John Roesler <john@confluent.io>, Guozhang Wang <guozhang@confluent.io>
When the restored record value is null, we are in danger of NPE during restoration phase.
Reviewers: Bill Bejeck <bill@confluent.io>, Guozhang Wang <guozhang@confluent.io>, Matthias J. Sax <matthias@confluent.io>
Sub-task required to allow to define custom processor names with KStreams DSL(KIP-307) :
- overload methods for stateless operations to accept a Named parameter (filter, filterNot, map, mapValues, foreach, peek, branch, transform, transformValue, flatTransform)
- overload process method to accept a Named parameter
- overload join/leftJoin/outerJoin methods
Reviewers: John Roesler <john@confluent.io>, Boyang Chen <boyang@confluent.io>,
Bill Bejeck <bbejeck@gmail.com>
See also #6684
KTable processors must be supplied with a KTableProcessorSupplier, which in turn requires implementing a ValueGetter, for use with joins and groupings.
For suppression, a correct view only includes the previously emitted values (not the currently buffered ones), so this change also involves pushing the Change value type into the suppression buffer's interface, so that it can get the prior value upon first buffering (which is also the previously emitted value).
Reviewers: A. Sophie Blee-Goldman <sophie@confluent.io>, Guozhang Wang <guozhang@confluent.io>
A. Sophie Blee-Goldman
Paul
Ismael Juma
Guozhang Wang
mjarvie
cadonna
Matthias J. Sax
Boyang Chen
John Roesler
Andy Coates
SuryaTeja Duggi
Bill Bejeck
Kengo Seki
khairy
Florian Hussonnois
Carlos Manuel Duclos Vergara
Lifei Chen