This resolved the issue with Kafka Streams skipped records sensor reporting wrong values.
Jira ticket: https://issues.apache.org/jira/browse/KAFKA-5368
The contribution is my original work and I license the work to the project under the project's open source license.
Author: Hamidreza Afzali <hrafzali@gmail.com>
Reviewers: Guozhang Wang <wangguoz@gmail.com>
Closes#3206 from hrafzali/KAFKA-5368_skipped-records-sensor-bug
Author: Dale Peakall <dale@peakall.net>
Reviewers: Michael André Pearce <michael.andre.pearce@me.com>, Matthias J. Sax <matthias@confluent.io>, Bill Bejeck <bbejeck@gmail.com>, Damian Guy <damian.guy@gmail.com>, Ismael Juma <ismael@juma.me.uk>
Closes#3199 from subnova/streams-extendeddeserializer
Due to the async nature of the producer, it is possible to attempt to drain a messages whose partition hasn't been added to the transaction yet. Before this patch, we considered this a fatal error. However, it is only in error if the partition isn't in the queue to be sent to the coordinator.
This patch updates the logic so that we only fail the producer if the partition would never be added to the transaction. If the partition of the batch is yet to be added, we will simply wait for the partition to be added to the transaction before sending the batch to the broker.
Author: Apurva Mehta <apurva@confluent.io>
Reviewers: Guozhang Wang <wangguoz@gmail.com>, Jason Gustafson <jason@confluent.io>
Closes#3202 from apurvam/KAFKA-5364-ensure-partitions-added-to-txn-before-send
- Producer sequence numbers should wrap around
- Generate a new producerId if the producer epoch would overflow
Author: Jason Gustafson <jason@confluent.io>
Reviewers: Ismael Juma <ismael@juma.me.uk>, Apurva Mehta <apurva@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
Closes#3183 from hachikuji/KAFKA-5283
Scenario is as follows:
1. Consumer subscribes to topic t1 and begins consuming
2. heartbeat fails as the group is rebalancing
3. ConsumerCoordinator.onJoinGroupPrepare is called
3.1 onPartitionsRevoked is called
4. consumer becomes the group leader
5. sends sync group request
6. sync group is cancelled due to disconnection
7. fetch request is sent for partitions that have previously been revoked
Author: Damian Guy <damian.guy@gmail.com>
Reviewers: Jason Gustafson <jason@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
Closes#3181 from dguy/kafka-5154
More specifically, V2 messages are always batched (whether compressed or not) while
V0/V1 are only batched if they are compressed.
Clients like librdkafka expect to receive messages from the fetch offset when dealing with uncompressed V0/V1 messages. When converting from V2 to V0/1, we were returning all the
messages in the V2 batch.
Author: Ismael Juma <ismael@juma.me.uk>
Reviewers: Jason Gustafson <jason@confluent.io>
Closes#3191 from ijuma/kafka-5360-down-converted-uncompressed-respect-offset
- Added a boolean `allow_auto_topic_creation` to MetadataRequest and
bumped the protocol version to V4.
- When connecting to brokers older than 0.11.0.0, the `allow_auto_topic_creation`
field won't be considered, so we send a metadata request for all topics
to keep the behavior consistent.
- Set `allow_auto_topic_creation` to false in the new AdminClient and
StreamsKafkaClient (which exists for the purpose of creating topics
manually); set it to true everywhere else for now. Other clients will eventually
rely on client-side auto topic creation, but that’s not there yet.
- Add `allowAutoTopicCreation` field to `Metadata`, which is used by
`DefaultMetadataUpdater`. This is not strictly needed for the new
`AdminClient`, but it avoids surprises if it ever adds a topic to `Metadata`
via `setTopics` or `addTopic`.
Author: Ismael Juma <ismael@juma.me.uk>
Reviewers: Jun Rao <junrao@gmail.com>
Closes#3098 from ijuma/kafka-5291-admin-client-no-auto-topic-creation
This makes the case where we build the records from scratch consistent
with the case where update the batch header "in place". Thanks to
edenhill who found the issue while testing librdkafka.
The reason our tests don’t catch this is that we rely on the maxTimestamp
to compute the record level timestamps if log append time is used.
Author: Ismael Juma <ismael@juma.me.uk>
Reviewers: Jason Gustafson <jason@confluent.io>
Closes#3177 from ijuma/set-base-sequence-for-log-append-time
Author: Mario Molina <mmolimar@gmail.com>
Reviewers: Matthias J. Sax <matthias@confluent.io>, Damian Guy <damian.guy@gmail.com>, Michael G. Noll <michael@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
Closes#3017 from mmolimar/KAFKA-5218
Also introduce TopicConfig.
Author: Colin P. Mccabe <cmccabe@confluent.io>
Reviewers: Ismael Juma <ismael@juma.me.uk>
Closes#3120 from cmccabe/KAFKA-5265
Author: Jason Gustafson <jason@confluent.io>
Reviewers: Apurva Mehta <apurva@confluent.io>, Ismael Juma <ismael@juma.me.uk>
Closes#3175 from hachikuji/KAFKA-5349
Return UNSUPPORTED_MESSAGE_FORMAT in handleWriteTxnMarkers when a topic is not the correct message format.
Remove any TopicPartitions that have same error from those waiting for markers
Author: Damian Guy <damian.guy@gmail.com>
Reviewers: Jason Gustafson <jason@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
Closes#3152 from dguy/kafka-5308
Author: Jason Gustafson <jason@confluent.io>
Reviewers: Apurva Mehta <apurva@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
Closes#3161 from hachikuji/KAFKA-5251
- reuse decompression buffers in consumer Fetcher
- switch lz4 input stream to operate directly on ByteBuffers
- avoids performance impact of catching exceptions when reaching the end of legacy record batches
- more tests with both compressible / incompressible data, multiple
blocks, and various other combinations to increase code coverage
- fixes bug that would cause exception instead of invalid block size
for invalid incompressible blocks
- fixes bug if incompressible flag is set on end frame block size
Overall this improves LZ4 decompression performance by up to 40x for small batches.
Most improvements are seen for batches of size 1 with messages on the order of ~100B.
We see at least 2x improvements for for batch sizes of < 10 messages, containing messages < 10kB
This patch also yields 2-4x improvements on v1 small single message batches for other compression types.
Full benchmark results can be found here
https://gist.github.com/xvrl/05132e0643513df4adf842288be86efd
Author: Xavier Léauté <xavier@confluent.io>
Author: Ismael Juma <ismael@juma.me.uk>
Reviewers: Jason Gustafson <jason@confluent.io>, Ismael Juma <ismael@juma.me.uk>
Closes#2967 from xvrl/kafka-5150
ByteBufferOutputStream improvements:
* Document pitfalls
* Improve efficiency when dealing with direct byte buffers
* Improve handling of buffer expansion
* Be consistent about using `limit` instead of `capacity`
* Add constructors that allocate the internal buffer
Other minor changes:
* Fix log warning to specify correct Kafka version
* Clean-ups
Author: Ismael Juma <ismael@juma.me.uk>
Reviewers: Jason Gustafson <jason@confluent.io>
Closes#3166 from ijuma/minor-kafka-5316-follow-ups
Keep track of when a transaction has begun by setting a flag, `transactionStarted` when a successfull `AddPartitionsToTxnResponse` or `AddOffsetsToTxnResponse` had been received. If an `AbortTxnRequest` about to be sent and `transactionStarted` is false, don't send the request and transition the state to `READY`
Author: Damian Guy <damian.guy@gmail.com>
Reviewers: Apurva Mehta <apurva@confluent.io>, Guozhang Wang <wangguoz@gmail.com>, Jason Gustafson <jason@confluent.io>
Closes#3126 from dguy/kafka-5260
Author: Jason Gustafson <jason@confluent.io>
Reviewers: Ismael Juma <ismael@juma.me.uk>, Jun Rao <junrao@gmail.com>
Closes#3142 from hachikuji/KAFKA-5316
Autogenerate docs for the Consumer Fetcher's metrics. This is a smaller subset of the original PR https://github.com/apache/kafka/pull/1202.
CC ijuma benstopford hachikuji
Author: James Cheng <jylcheng@yahoo.com>
Reviewers: Ismael Juma <ismael@juma.me.uk>, Guozhang Wang <wangguoz@gmail.com>
Closes#2993 from wushujames/fetcher_metrics_docs
Add check in `KafkaApis` that the inter broker protocol version is at least `KAFKA_0_11_0_IV0`, i.e., supporting transactions
Author: Damian Guy <damian.guy@gmail.com>
Reviewers: Ismael Juma <ismael@juma.me.uk>, Jason Gustafson <jason@confluent.io>
Closes#3103 from dguy/kafka-5128
The previous code did not handle this correctly if a batch was
compacted more than once.
Also add test case for duplicate check after log cleaning and
improve various comments.
Author: Jason Gustafson <jason@confluent.io>
Reviewers: Ismael Juma <ismael@juma.me.uk>
Closes#3145 from hachikuji/minor-improve-base-sequence-docs
The basic idea is that exactly three collections, ie. `pendingRequests`, `newPartitionsToBeAddedToTransaction`, and `partitionsInTransaction` are accessed from the context of application threads. The first two are modified from the application threads, and the last is read from those threads.
So to make the `TransactionManager` truly thread safe, we have to ensure that all accesses to these three members are done in a synchronized block. I inspected the code, and I believe this patch puts the synchronization in all the correct places.
Author: Apurva Mehta <apurva@confluent.io>
Reviewers: Jason Gustafson <jason@confluent.io>
Closes#3132 from apurvam/KAFKA-5147-transaction-manager-synchronization-fixes
Author: Rajini Sivaram <rajinisivaram@googlemail.com>
Reviewers: Jun Rao <junrao@gmail.com>, Ismael Juma <ismael@juma.me.uk>
Closes#3137 from rajinisivaram/KAFKA-5320
For consumers with manual partition assignment, await metadata when there are no ready nodes to avoid busy polling.
Author: Rajini Sivaram <rajinisivaram@googlemail.com>
Reviewers: Jason Gustafson <jason@confluent.io>, Ismael Juma <ismael@juma.me.uk>
Closes#3124 from rajinisivaram/KAFKA-5263
This call to isCompletedExceptionally introduced a race condition
because the future might not have been completed. assertFutureError
checks that the exception is present and of the correct type in any
case, so the call was not necessary.
Author: Colin P. Mccabe <cmccabe@confluent.io>
Reviewers: Ismael Juma <ismael@juma.me.uk>
Closes#3139 from cmccabe/fix-test-deleteacls
Author: Jason Gustafson <jason@confluent.io>
Reviewers: Apurva Mehta <apurva@confluent.io>, Ismael Juma <ismael@juma.me.uk>
Closes#3123 from hachikuji/KAFKA-4935
Author: Jason Gustafson <jason@confluent.io>
Reviewers: Apurva Mehta <apurva@confluent.io>, Jun Rao <junrao@gmail.com>
Closes#3075 from hachikuji/KAFKA-5259-FIXED
Before this patch the consumer would return the cached offsets for partitions in its current assignment. This worked when all the offset commits went through the consumer.
With KIP-98, offsets can be committed transactionally through the producer. This means that relying on cached positions in the consumer returns incorrect information: since commits go through the producer, the cache is never updated.
Hence we need to update the `KafkaConsumer.committed` method to always lookup the server for the last committed offset to ensure it gets the correct information every time.
Author: Apurva Mehta <apurva@confluent.io>
Reviewers: Jason Gustafson, Guozhang Wang
Closes#3119 from apurvam/KAFKA-5273-kafkaconsumer-committed-should-always-hit-server
Author: Jason Gustafson <jason@confluent.io>
Reviewers: Guozhang Wang <wangguoz@gmail.com>
Closes#3118 from hachikuji/disallow-transactional-idempotent-downconversion
... plus some minor cleanup
Author: Vahid Hashemian <vahidhashemian@us.ibm.com>
Reviewers: Jason Gustafson <jason@confluent.io>
Closes#3092 from vahidhashemian/KAFKA-5277
If props is null, use POLICY_NOPLAINTEXT default value: false
Author: Mickael Maison <mickael.maison@gmail.com>
Reviewers: Ismael Juma <ismael@juma.me.uk>, Rajini Sivaram <rajinisivaram@googlemail.com>
Closes#3105 from mimaison/KAFKA-5294
Author: Jiangjie Qin <becket.qin@gmail.com>
Reviewers: Joel Koshy <jjkoshy.w@gmail.com>, Ismael Juma <ismael@juma.me.uk>
Closes#2638 from becketqin/KAFKA-3995
We should retry AddPartitionsToTxnRequest and TxnOffsetCommitRequest when receiving an UNKNOWN_TOPIC_OR_PARTITION error.
As described in the JIRA: It turns out that the `UNKNOWN_TOPIC_OR_PARTITION` is returned from the request handler in KafkaAPis for the AddPartitionsToTxn and the TxnOffsetCommitRequest when the broker's metadata doesn't contain one or more partitions in the request. This can happen for instance when the broker is bounced and has not received the cluster metadata yet.
We should retry in these cases, as this is the model followed by the consumer when committing offsets, and by the producer with a ProduceRequest.
Author: Apurva Mehta <apurva@confluent.io>
Reviewers: Guozhang Wang <wangguoz@gmail.com>, Jason Gustafson <jason@confluent.io>
Closes#3094 from apurvam/KAFKA-5269-handle-unknown-topic-partition-in-transaction-manager
Summary:
- add `reconnect.backoff.max.ms` common client configuration parameter
- if `reconnect.backoff.max.ms` > `reconnect.backoff.ms`, apply an exponential backoff policy
- apply +/- 20% random jitter to smooth cluster reconnects
Author: Dana Powers <dana.powers@gmail.com>
Reviewers: Ewen Cheslack-Postava <me@ewencp.org>, Roger Hoover <roger.hoover@gmail.com>, Ismael Juma <ismael@juma.me.uk>
Closes#1523 from dpkp/exp_backoff
Implements range scan for keys in windowed and session stores
Modifies caching session and windowed stores to use segmented cache keys.
Cache keys are internally prefixed with their segment id to ensure key ordering in the cache matches the ordering in the underlying store for keys spread across multiple segments.
This should also result in fewer cache keys getting scanned for queries spanning only some segments.
Author: Xavier Léauté <xavier@confluent.io>
Reviewers: Damian Guy, Guozhang Wang
Closes#3027 from xvrl/windowstore-range-scan
The backing store for offsets, status, and configs now attempts to use the new AdminClient to look up the internal topics and create them if they don’t yet exist. If the necessary APIs are not available in the connected broker, the stores fall back to the old behavior of relying upon auto-created topics. Kafka Connect requires a minimum of Apache Kafka 0.10.0.1-cp1, and the AdminClient can work with all versions since 0.10.0.0.
All three of Connect’s internal topics are created as compacted topics, and new distributed worker configuration properties control the replication factor for all three topics and the number of partitions for the offsets and status topics; the config topic requires a single partition and does not allow it to be set via configuration. All of these new configuration properties have sensible defaults, meaning users can upgrade without having to change any of the existing configurations. In most situations, existing Connect deployments will have already created the storage topics prior to upgrading.
The replication factor defaults to 3, so anyone running Kafka clusters with fewer nodes than 3 will receive an error unless they explicitly set the replication factor for the three internal topics. This is actually desired behavior, since it signals the users that they should be aware they are not using sufficient replication for production use.
The integration tests use a cluster with a single broker, so they were changed to explicitly specify a replication factor of 1 and a single partition.
The `KafkaAdminClientTest` was refactored to extract a utility for setting up a `KafkaAdminClient` with a `MockClient` for unit tests.
Author: Randall Hauch <rhauch@gmail.com>
Reviewers: Ewen Cheslack-Postava <ewen@confluent.io>
Closes#2984 from rhauch/kafka-4667
Use IBM Kerberos module for SASL tests if running on IBM JDK
Developed with edoardocomar
Based on https://github.com/apache/kafka/pull/738 by rajinisivaram
Author: Mickael Maison <mickael.maison@gmail.com>
Reviewers: Ismael Juma <ismael@juma.me.uk>, Rajini Sivaram <rajinisivaram@googlemail.com>, Edoardo Comar <ecomar@uk.ibm.com>
Closes#2878 from mimaison/KAFKA-3070
Hamidreza Afzali
Jason Gustafson
Dale Peakall
Apurva Mehta
Guozhang Wang
Damian Guy
Colin P. Mccabe
Ismael Juma
Mario Molina
Jiangjie Qin
Xavier Léauté
James Cheng
Rajini Sivaram
Vahid Hashemian
Mickael Maison
Dana Powers
Randall Hauch