Migrate this integration test to use TopologyTestDriver instead of running 3 Streams instances.
Dropped one test that was attempting to produce specific interleavings. If anything, these should be verified deterministically by unit testing.
Reviewers: Matthias J. Sax <matthias@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
Also put in some additional logging that makes sense to add, and proved helpful in debugging this particular issue.
Unit tests verifying the encoded supported version were added.
This should get cherry-picked back to 2.1
Reviewers: Bill Bejeck <bill@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
Fix the formatting and wording of the foreign-key join javadoc
Optimize handling of null extracted foreign keys
Reviewers: Sophie Blee-Goldman <sophie@confluent.io>, Bill Bejeck <bbejeck@gmail.com>
Added plugin isolation unit tests for various scenarios, with a `TestPlugins` class that compiles and builds multiple test plugins without them being on the classpath and verifies that the Plugins and DelegatingClassLoader behave properly. These initially failed for several cases, but now pass since the issues have been fixed.
KAFKA-8340 and KAFKA-8819 are closely related, and this fix corrects the problems reported in both issues.
Author: Greg Harris <gregh@confluent.io>
Reviewers: Chris Egerton <chrise@confluent.io>, Magesh Nandakumar <mageshn@confluent.io>, Konstantine Karantasis <konstantine@confluent.io>, Randall Hauch <rhauch@gmail.com>
Document the upgrade path for the consumer and for Streams (note that they differ significantly).
Needs to be cherry-picked to 2.4
Reviewers: Guozhang Wang <wangguoz@gmail.com>
In a KTable context, null record values have a special "tombstone" significance. We should always bypass the serdes for such tombstones, since otherwise the serde could violate Streams' table semantics.
Added test coverage for this case and fixed the code accordingly.
Reviewers: A. Sophie Blee-Goldman <sophie@confluent.io>, Matthias J. Sax <matthias@confluent.io>, Guozhang Wang <wangguoz@gmail.com>, Bill Bejeck <bill@confluent.io>
Fix bug in Connect REST extension API caused by invalid constructor parameter validation, and update integration test to play nicely with Jenkins
Fix instantiation of TaskState objects by Connect framework.
Author: Chris Egerton <chrise@confluent.io>
Reviewers: Magesh Nandakumar <mageshn@confluent.io>, Randall Hauch <rhauch@gmail.com>
By default, if the user does not configure a `client.id`, then we use a very generic identifier, such as `consumer-15`. It is more useful to include identifying information when available such as `group.id` for the consumer and `transactional.id` for the producer.
Reviewers: Guozhang Wang <wangguoz@gmail.com>
I looked into the logs of the above tickets, and I think for a couple fo them it is due to the fact that the threads takes time to restore, or just stabilize the rebalance since there are multi-threads. Adding the hook to wait for state to transit to RUNNING upon starting.
Reviewers: Chris Pettitt <cpettitt@confluent.io>, Matthias J. Sax <matthias@confluent.io>
A partition log in initialized in following steps:
1. Fetch log config from ZK
2. Call LogManager.getOrCreateLog which creates the Log object, then
3. Registers the Log object
Step #3 enables Configuration update thread to deliver configuration
updates to the log. But if any update arrives between step #1 and #3
then that update is missed. It breaks following use case:
1. Create a topic with default configuration, and immediately after that
2. Update the configuration of topic
There is a race condition here and in random cases update made in
second step will get dropped.
This change fixes it by tracking updates arriving between step #1 and #3
Once a Partition is done initializing log, it checks if it has missed any
update. If yes, then the configuration is read from ZK again.
Added unit tests to make sure a dirty configuration is refreshed. Tested
on local cluster to make sure that topic configuration and updates are
handled correctly.
Reviewers: Jason Gustafson <jason@confluent.io>
Author: Bruno Cadonna <bruno@confluent.io>
Reviewers: Guozhang Wang <wangguoz@gmail.com>
Closes#7490 from cadonna/AK8942-docs-rocksdb_metrics
Minor comments
Subtopologies are currently ordered alphabetically by source node, which prior to KIP-307 happened to always result in the "correct" (ie topological) order. Now that users may name their nodes anything they want, we must explicitly order them so that upstream node groups/subtopologies come first and the downstream ones come after.
Reviewers: Guozhang Wang <wangguoz@gmail.com>, Bill Bejeck <bbejeck@gmail.com>
This system test was marked @Ignore around a year and a half ago pending the version probing work, but never turned on again.
These days, it is made redundant by the suite of system tests in streams_upgrade_test, which cover rolling upgrades (including version probing and metadata change).
Reviewers: Boyang Chen <boyang@confluent.io>, Bill Bejeck <bbejeck@gmail.com>
One of the sticky assignor tests involves a random change in subscriptions that the current assignor algorithm struggles to react to and in cooperative mode ends up requiring more than one followup rebalance.
Apparently, in rare cases it can also require more than 2. Bumping the "allowed subsequent rebalances" to 4 (increase of 2) to allow some breathing room and reduce flakiness (technically any number is "correct", but if it turns out to ever require more than 4 we should revisit and improve the algorithm because that would be excessive (see KAFKA-8767)
Reviewers: Guozhang Wang <wangguoz@gmail.com>
KAFKA-7215 improved the log cleaner error handling to mitigate thread death but missed one case. Exceptions in grabFilthiestCompactedLog still cause the thread to die.
This patch improves handling to ensure that errors in that function still mark a partition as uncleanable and do not crash the thread.
Reviewers: Jason Gustafson <jason@confluent.io>
All four flavors of the repartition/optimization tests have been reported as flaky and failed in one place or another:
* RepartitionOptimizingIntegrationTest.shouldSendCorrectRecords_OPTIMIZED
* RepartitionOptimizingIntegrationTest.shouldSendCorrectRecords_NO_OPTIMIZATION
* RepartitionWithMergeOptimizingIntegrationTest.shouldSendCorrectRecords_OPTIMIZED
* RepartitionWithMergeOptimizingIntegrationTest.shouldSendCorrectRecords_NO_OPTIMIZATION
They're pretty similar so it makes sense to knock them all out at once. This PR does three things:
* Switch to in-memory stores wherever possible
* Name all operators and update the Topology accordingly (not really a flaky test fix, but had to update the topology names anyway because of the IM stores so figured might as well)
* Port to TopologyTestDriver -- this is the "real" fix, should make a big difference as these repartition tests required multiple roundtrips with the Kafka cluster (while using only the default timeout)
Reviewers: Bill Bejeck <bill@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
All the changes are in ReplicaManager.appendToLocalLog and ReplicaManager.appendRecords. Also, replaced LogAppendInfo.unknownLogAppendInfoWithLogStartOffset with LogAppendInfo.unknownLogAppendInfoWithAdditionalInfo to include those 2 new fields.
Reviewers: Guozhang Wang <wangguoz@gmail.com>, Jason Gustafson <jason@confluent.io>
Since generation is private in AbstractCoordinator, I need to modify the generation() to let it return the object directly.
Reviewers: A. Sophie Blee-Goldman <sophie@confluent.io>, Bill Bejeck <bill@confluent.io>
After merged #7412 we realized it does not necessarily need that long time: instead of putting 2 million records, we can just have a single put followed by a flush, to make sure that rocksDB file exists locally (verified that after flush the sst file always exist).
Now the RocksDBStoreTest takes about 2.5 seconds, and removing the integration annotation from it.
Reviewers: A. Sophie Blee-Goldman <sophie@confluent.io>, Bill Bejeck <bill@confluent.io>
The scalac optimizer is able to inline methods to avoid lambda allocations, eliminating
the runtime cost of higher order functions in many cases. The compilation parameters
we are using here were introduced in 2.12.x, so we don't enable them for Scala 2.11.
Also, we enable a more aggressive inlining policy for the `core` project since it's
not meant to be used as a library.
See https://www.lightbend.com/blog/scala-inliner-optimizer for more information about
the optimizer.
I verified that the lambda allocation in the code below (from LogCleaner.scala) went away
after this change with Scala 2.12 and 2.13.
```scala
private def consumeAbortedTxnsUpTo(offset: Long): Unit = {
while (abortedTransactions.headOption.exists(_.firstOffset <= offset)) {
val abortedTxn = abortedTransactions.dequeue()
ongoingAbortedTxns.getOrElseUpdate(abortedTxn.producerId, new AbortedTransactionMetadata(abortedTxn))
}
}
```
The relevant part of the bytecode when compiled with Scala 2.13 looks like:
```text
private void consumeAbortedTxnsUpTo(long);
Code:
0: aload_0
1: invokespecial #54 // Method abortedTransactions:()Lscala/collection/mutable/PriorityQueue;
4: invokevirtual #175 // Method scala/collection/mutable/PriorityQueue.headOption:()Lscala/Option;
7: dup
8: ifnonnull 13
11: aconst_null
12: athrow
13: astore 4
15: aload 4
17: invokevirtual #145 // Method scala/Option.isEmpty:()Z
20: ifne 48
23: aload 4
25: invokevirtual #148 // Method scala/Option.get:()Ljava/lang/Object;
28: checkcast #177 // class kafka/log/AbortedTxn
```
The increased inlining causes some spurious spotBugs warnings, I added a few suppressions
and fixed one warning by avoiding unnecessary boxing.
Reviewers: Guozhang Wang <wangguoz@gmail.com>
This patch changes the way topic existence is checked in the DeleteOffset API. Previously, it was relying on the committed offsets. Now, it relies on the metadata cache which is better.
Reviewers: Jason Gustafson <jason@confluent.io>
* Renamed tag client-id to thread-id for thread-level metrics and below
* Corrected metrics tag keys for state store that had suffix "-id" instead of "state-id"
Reviewers: John Roesler <john@confluent.io>, Bill Bejeck <bill@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
As described in KIP-360, this patch changes producer state retention so that producer state remains cached even after it is removed from the log. Producer state will only be removed now when the transactional id expiration time has passed. This is intended to reduce the incidence of UNKNOWN_PRODUCER_ID errors for producers when records are deleted or when a topic has a short retention time. Tested with unit tests.
Reviewers: Jason Gustafson <jason@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
The deleteRecords API in the AdminClient groups records to be sent by the partition leaders. If one of these requests fails, we currently fail all futures, including those tied to requests sent to other leaders. It would be better to fail only those partitions included in the failed request.
Reviewers: Ismael Juma <ismael@juma.me.uk>
John Roesler
Bill Bejeck
A. Sophie Blee-Goldman
Greg Harris
Matthias J. Sax
Lucas Bradstreet
Bruno Cadonna
Chris Pettitt
Chris Egerton
Jason Gustafson
Konstantine Karantasis
Guozhang Wang
Vikas Singh
Alex Leung
Chris Stromberger
Stanislav Kozlovski
Viktor Somogyi
Ismael Juma
David Jacot
Tu V. Tran
Colin Patrick McCabe
Rajini Sivaram
huxi
Bob Barrett