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<!DOCTYPE suppressions PUBLIC
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"http://www.puppycrawl.com/dtds/suppressions_1_1.dtd">
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2017-06-28 08:47:00 +08:00
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2019-09-25 23:58:54 +08:00
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<!-- Generator -->
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2019-10-24 03:39:12 +08:00
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files="(SchemaGenerator|MessageDataGenerator|FieldSpec).java"/>
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<!-- core -->
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files="(Fetcher|Sender|SenderTest|ConsumerCoordinator|KafkaConsumer|KafkaProducer|Utils|TransactionManager|TransactionManagerTest|KafkaAdminClient|NetworkClient|Admin|KafkaRaftClient|KafkaRaftClientTest|RaftClientTestContext).java"/>
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2017-03-01 06:55:46 +08:00
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KAFKA-12984: make AbstractStickyAssignor resilient to invalid input, utilize generation in cooperative, and fix assignment bug (#10985)
1) Bring the generation field back to the CooperativeStickyAssignor so we don't need to rely so heavily on the ConsumerCoordinator properly updating its SubscriptionState after eg falling out of the group. The plain StickyAssignor always used the generation since it had to, so we just make sure the CooperativeStickyAssignor has this tool as well
2) In case of unforeseen problems or further bugs that slip past the generation field safety net, the assignor will now explicitly look out for partitions that are being claimed by multiple consumers as owned in the same generation. Such a case should never occur, but if it does, we have to invalidate this partition from the ownedPartitions of both consumers, since we can't tell who, if anyone, has the valid claim to this partition.
3) Fix a subtle bug that I discovered while writing tests for the above two fixes: in the constrained algorithm, we compute the exact number of partitions each consumer should end up with, and keep track of the "unfilled" members who must -- or might -- require more partitions to hit their quota. The problem was that members at the minQuota were being considered as "unfilled" even after we had already hit the maximum number of consumers allowed to go up to the maxQuota, meaning those minQuota members could/should not accept any more partitions beyond that. I believe this was introduced in #10509, so it shouldn't be in any released versions and does not need to be backported.
Reviewers: Guozhang Wang <guozhang@apache.org>, Luke Chen <showuon@gmail.com>
2021-07-14 09:29:31 +08:00
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files="(KerberosLogin|RequestResponseTest|ConnectMetricsRegistry|KafkaConsumer|AbstractStickyAssignor).java"/>
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2017-03-01 06:55:46 +08:00
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2020-09-23 02:32:44 +08:00
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2017-03-01 06:55:46 +08:00
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2017-03-01 06:55:46 +08:00
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2020-09-23 02:32:44 +08:00
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files="(KafkaConsumer|ConsumerCoordinator|Fetcher|KafkaProducer|AbstractRequest|AbstractResponse|TransactionManager|Admin|KafkaAdminClient|MockAdminClient|KafkaRaftClient|KafkaRaftClientTest).java"/>
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2017-03-01 06:55:46 +08:00
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2018-04-16 15:51:33 +08:00
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files="(Errors|SaslAuthenticatorTest|AgentTest|CoordinatorTest).java"/>
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2017-03-01 06:55:46 +08:00
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KAFKA-7862 & KIP-345 part-one: Add static membership logic to JoinGroup protocol (#6177)
This is the first diff for the implementation of JoinGroup logic for static membership. The goal of this diff contains:
* Add group.instance.id to be unique identifier for consumer instances, provided by end user;
Modify group coordinator to accept JoinGroupRequest with/without static membership, refactor the logic for readability and code reusability.
* Add client side support for incorporating static membership changes, including new config for group.instance.id, apply stream thread client id by default, and new join group exception handling.
* Increase max session timeout to 30 min for more user flexibility if they are inclined to tolerate partial unavailability than burdening rebalance.
* Unit tests for each module changes, especially on the group coordinator logic. Crossing the possibilities like:
6.1 Dynamic/Static member
6.2 Known/Unknown member id
6.3 Group stable/unstable
6.4 Leader/Follower
The rest of the 345 change will be broken down to 4 separate diffs:
* Avoid kicking out members through rebalance.timeout, only do the kick out through session timeout.
* Changes around LeaveGroup logic, including version bumping, broker logic, client logic, etc.
* Admin client changes to add ability to batch remove static members
* Deprecate group.initial.rebalance.delay
Reviewers: Liquan Pei <liquanpei@gmail.com>, Stanislav Kozlovski <familyguyuser192@windowslive.com>, Jason Gustafson <jason@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
2019-04-27 02:44:38 +08:00
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files="(Utils|Topic|KafkaLZ4BlockOutputStream|AclData|JoinGroupRequest).java"/>
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2017-03-01 06:55:46 +08:00
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2021-06-19 06:50:49 +08:00
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files="(ConsumerCoordinator|Fetcher|KafkaProducer|ConfigDef|KerberosLogin|AbstractRequest|AbstractResponse|Selector|SslFactory|SslTransportLayer|SaslClientAuthenticator|SaslClientCallbackHandler|SaslServerAuthenticator|AbstractCoordinator|TransactionManager|AbstractStickyAssignor|DefaultSslEngineFactory|Authorizer|RecordAccumulator).java"/>
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2017-03-01 06:55:46 +08:00
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2021-07-24 12:54:44 +08:00
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files="(AbstractRequest|AbstractResponse|KerberosLogin|WorkerSinkTaskTest|TransactionManagerTest|SenderTest|KafkaAdminClient|ConsumerCoordinatorTest|KafkaAdminClientTest|KafkaRaftClientTest).java"/>
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2017-03-01 06:55:46 +08:00
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2021-07-08 07:02:37 +08:00
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files="(ConsumerCoordinator|BufferPool|Fetcher|MetricName|Node|ConfigDef|RecordBatch|SslFactory|SslTransportLayer|MetadataResponse|KerberosLogin|Selector|Sender|Serdes|TokenInformation|Agent|Values|PluginUtils|MiniTrogdorCluster|TasksRequest|KafkaProducer|AbstractStickyAssignor|KafkaRaftClient|Authorizer|FetchSessionHandler).java"/>
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2017-03-01 06:55:46 +08:00
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2019-01-25 01:26:51 +08:00
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2019-10-04 06:59:31 +08:00
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files="Murmur3.java"/>
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2019-01-25 01:26:51 +08:00
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2020-08-27 06:10:09 +08:00
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2019-09-25 23:58:54 +08:00
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files="clients[\\/]src[\\/](generated|generated-test)[\\/].+.java$"/>
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2021-07-07 18:55:00 +08:00
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files="MessageTest.java|OffsetFetchRequest.java"/>
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2019-09-25 23:58:54 +08:00
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<!-- Clients tests -->
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2017-03-01 06:55:46 +08:00
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<suppress checks="ClassDataAbstractionCoupling"
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2020-01-23 05:48:36 +08:00
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files="(Sender|Fetcher|KafkaConsumer|Metrics|RequestResponse|TransactionManager|KafkaAdminClient|Message|KafkaProducer)Test.java"/>
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2020-01-23 05:48:36 +08:00
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files="(ConsumerCoordinator|KafkaConsumer|RequestResponse|Fetcher|KafkaAdminClient|Message|KafkaProducer)Test.java"/>
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2017-04-03 10:41:44 +08:00
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2020-05-30 02:25:20 +08:00
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files="RequestResponseTest.java|FetcherTest.java|KafkaAdminClientTest.java"/>
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2017-04-03 10:41:44 +08:00
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2018-05-22 14:17:42 +08:00
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<suppress checks="NPathComplexity"
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2021-03-02 22:20:47 +08:00
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files="MemoryRecordsTest|MetricsTest|RequestResponseTest|TestSslUtils|AclAuthorizerBenchmark"/>
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2018-05-22 14:17:42 +08:00
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2019-10-04 06:59:31 +08:00
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2017-03-01 06:55:46 +08:00
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<!-- Connect -->
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2021-07-01 12:13:07 +08:00
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2020-05-27 13:07:34 +08:00
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KAFKA-5142: Add Connect support for message headers (KIP-145)
**[KIP-145](https://cwiki.apache.org/confluence/display/KAFKA/KIP-145+-+Expose+Record+Headers+in+Kafka+Connect) has been accepted, and this PR implements KIP-145 except without the SMTs.**
Changed the Connect API and runtime to support message headers as described in [KIP-145](https://cwiki.apache.org/confluence/display/KAFKA/KIP-145+-+Expose+Record+Headers+in+Kafka+Connect).
The new `Header` interface defines an immutable representation of a Kafka header (key-value pair) with support for the Connect value types and schemas. This interface provides methods for easily converting between many of the built-in primitive, structured, and logical data types.
The new `Headers` interface defines an ordered collection of headers and is used to track all headers associated with a `ConnectRecord` (and thus `SourceRecord` and `SinkRecord`). This does allow multiple headers with the same key. The `Headers` contains methods for adding, removing, finding, and modifying headers. Convenience methods allow connectors and transforms to easily use and modify the headers for a record.
A new `HeaderConverter` interface is also defined to enable the Connect runtime framework to be able to serialize and deserialize headers between the in-memory representation and Kafka’s byte[] representation. A new `SimpleHeaderConverter` implementation has been added, and this serializes to strings and deserializes by inferring the schemas (`Struct` header values are serialized without the schemas, so they can only be deserialized as `Map` instances without a schema.) The `StringConverter`, `JsonConverter`, and `ByteArrayConverter` have all been extended to also be `HeaderConverter` implementations. Each connector can be configured with a different header converter, although by default the `SimpleHeaderConverter` is used to serialize header values as strings without schemas.
Unit and integration tests are added for `ConnectHeader` and `ConnectHeaders`, the two implementation classes for headers. Additional test methods are added for the methods added to the `Converter` implementations. Finally, the `ConnectRecord` object is already used heavily, so only limited tests need to be added while quite a few of the existing tests already cover the changes.
Author: Randall Hauch <rhauch@gmail.com>
Reviewers: Arjun Satish <arjun@confluent.io>, Ted Yu <yuzhihong@gmail.com>, Magesh Nandakumar <magesh.n.kumar@gmail.com>, Konstantine Karantasis <konstantine@confluent.io>, Ewen Cheslack-Postava <ewen@confluent.io>
Closes #4319 from rhauch/kafka-5142-b
2018-02-01 02:40:24 +08:00
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<!-- Streams -->
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2021-08-06 15:18:27 +08:00
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2021-01-28 11:57:20 +08:00
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2018-08-04 04:19:46 +08:00
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2020-08-06 04:52:50 +08:00
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<!-- Generated code -->
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2020-08-27 06:10:09 +08:00
|
|
|
<suppress checks="(NPathComplexity|ClassFanOutComplexity|CyclomaticComplexity|ClassDataAbstractionCoupling|FinalLocalVariable|LocalVariableName|MemberName|ParameterName|MethodLength|JavaNCSS|AvoidStarImport)"
|
KAFKA-8868: Generate SubscriptionInfo protocol message (#7248)
Rather than maintain hand coded protocol serialization code, Streams could use the same code-generation framework as Clients/Core.
There isn't a perfect match, since the code generation framework includes an assumption that you're generating "protocol messages", rather than just arbitrary blobs, but I think it's close enough to justify using it, and improving it over time.
Using the code generation allows us to drop a lot of detail-oriented, brittle, and hard-to-maintain serialization logic in favor of a schema spec.
Reviewers: Colin P. McCabe <cmccabe@apache.org>, Boyang Chen <boyang@confluent.io>, Bill Bejeck <bill@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
2019-11-02 01:03:55 +08:00
|
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files="streams[\\/]src[\\/](generated|generated-test)[\\/].+.java$"/>
|
2020-09-23 02:32:44 +08:00
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<suppress checks="(NPathComplexity|ClassFanOutComplexity|CyclomaticComplexity|ClassDataAbstractionCoupling|FinalLocalVariable|LocalVariableName|MemberName|ParameterName|MethodLength|JavaNCSS|AvoidStarImport)"
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files="raft[\\/]src[\\/](generated|generated-test)[\\/].+.java$"/>
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2021-05-05 22:48:52 +08:00
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<suppress checks="(NPathComplexity|ClassFanOutComplexity|CyclomaticComplexity|ClassDataAbstractionCoupling|FinalLocalVariable|LocalVariableName|MemberName|ParameterName|MethodLength|JavaNCSS|AvoidStarImport)"
|
|
|
|
|
files="storage[\\/]src[\\/](generated|generated-test)[\\/].+.java$"/>
|
KAFKA-8868: Generate SubscriptionInfo protocol message (#7248)
Rather than maintain hand coded protocol serialization code, Streams could use the same code-generation framework as Clients/Core.
There isn't a perfect match, since the code generation framework includes an assumption that you're generating "protocol messages", rather than just arbitrary blobs, but I think it's close enough to justify using it, and improving it over time.
Using the code generation allows us to drop a lot of detail-oriented, brittle, and hard-to-maintain serialization logic in favor of a schema spec.
Reviewers: Colin P. McCabe <cmccabe@apache.org>, Boyang Chen <boyang@confluent.io>, Bill Bejeck <bill@confluent.io>, Guozhang Wang <wangguoz@gmail.com>
2019-11-02 01:03:55 +08:00
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2020-07-31 01:29:39 +08:00
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<suppress checks="ImportControl" files="FetchResponseData.java"/>
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2020-08-14 00:52:23 +08:00
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<suppress checks="ImportControl" files="RecordsSerdeTest.java"/>
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2020-07-31 01:29:39 +08:00
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2018-01-30 09:21:48 +08:00
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<!-- Streams tests -->
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2017-03-01 06:55:46 +08:00
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<suppress checks="ClassFanOutComplexity"
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2021-06-08 06:38:12 +08:00
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files="(StreamsPartitionAssignorTest|StreamThreadTest|StreamTaskTest|TaskManagerTest|TopologyTestDriverTest).java"/>
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2017-03-01 06:55:46 +08:00
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<suppress checks="MethodLength"
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2021-04-29 04:22:15 +08:00
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files="(EosIntegrationTest|EosV2UpgradeIntegrationTest|KStreamKStreamJoinTest|RocksDBWindowStoreTest).java"/>
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2017-03-01 06:55:46 +08:00
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<suppress checks="ClassDataAbstractionCoupling"
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2017-06-28 08:47:00 +08:00
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files=".*[/\\]streams[/\\].*test[/\\].*.java"/>
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2017-03-01 06:55:46 +08:00
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<suppress checks="CyclomaticComplexity"
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2021-04-29 04:22:15 +08:00
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files="(EosV2UpgradeIntegrationTest|KStreamKStreamJoinTest|KTableKTableForeignKeyJoinIntegrationTest|RocksDBGenericOptionsToDbOptionsColumnFamilyOptionsAdapterTest|RelationalSmokeTest|MockProcessorContextStateStoreTest).java"/>
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2017-03-01 06:55:46 +08:00
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<suppress checks="JavaNCSS"
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2021-04-29 04:22:15 +08:00
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files="(EosV2UpgradeIntegrationTest|KStreamKStreamJoinTest|TaskManagerTest).java"/>
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2017-03-01 06:55:46 +08:00
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<suppress checks="NPathComplexity"
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2021-04-29 04:22:15 +08:00
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files="(EosV2UpgradeIntegrationTest|EosTestDriver|KStreamKStreamJoinTest|KTableKTableForeignKeyJoinIntegrationTest|RelationalSmokeTest|MockProcessorContextStateStoreTest).java"/>
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2017-03-01 06:55:46 +08:00
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2019-09-20 07:38:18 +08:00
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<suppress checks="(FinalLocalVariable|WhitespaceAround|LocalVariableName|ImportControl|AvoidStarImport)"
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files="Murmur3Test.java"/>
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2020-09-12 05:38:17 +08:00
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<suppress checks="MethodLength"
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2021-04-29 08:57:28 +08:00
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files="(KStreamSlidingWindowAggregateTest|KStreamKStreamLeftJoinTest|KStreamKStreamOuterJoinTest).java"/>
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2020-09-12 05:38:17 +08:00
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2020-10-01 11:07:23 +08:00
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<suppress checks="ClassFanOutComplexity"
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files="StreamTaskTest.java"/>
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2020-08-06 04:52:50 +08:00
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<!-- Streams test-utils -->
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2018-01-30 09:21:48 +08:00
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<suppress checks="ClassFanOutComplexity"
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files="TopologyTestDriver.java"/>
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<suppress checks="ClassDataAbstractionCoupling"
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files="TopologyTestDriver.java"/>
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2020-08-06 04:52:50 +08:00
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<!-- Streams examples -->
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<suppress id="dontUseSystemExit"
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files="PageViewTypedDemo.java|PipeDemo.java|TemperatureDemo.java|WordCountDemo.java|WordCountProcessorDemo.java|WordCountTransformerDemo.java"/>
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2017-03-01 06:55:46 +08:00
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<!-- Tools -->
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<suppress checks="ClassDataAbstractionCoupling"
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files="VerifiableConsumer.java"/>
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<suppress checks="CyclomaticComplexity"
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2017-08-26 03:29:40 +08:00
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files="(StreamsResetter|ProducerPerformance|Agent).java"/>
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2019-10-04 06:59:31 +08:00
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<suppress checks="BooleanExpressionComplexity"
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files="StreamsResetter.java"/>
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2017-03-01 06:55:46 +08:00
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<suppress checks="NPathComplexity"
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2020-02-13 04:34:12 +08:00
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files="(ProducerPerformance|StreamsResetter|Agent|TransactionalMessageCopier).java"/>
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2017-08-26 03:29:40 +08:00
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<suppress checks="ImportControl"
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files="SignalLogger.java"/>
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<suppress checks="IllegalImport"
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files="SignalLogger.java"/>
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2018-03-20 21:51:45 +08:00
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<suppress checks="ParameterNumber"
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files="ProduceBenchSpec.java"/>
|
2020-12-19 05:03:59 +08:00
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<suppress checks="ParameterNumber"
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files="ConsumeBenchSpec.java"/>
|
2019-09-09 10:49:13 +08:00
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<suppress checks="ParameterNumber"
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files="SustainedConnectionSpec.java"/>
|
2020-08-06 04:52:50 +08:00
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<suppress id="dontUseSystemExit"
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files="VerifiableConsumer.java"/>
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<suppress id="dontUseSystemExit"
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files="VerifiableProducer.java"/>
|
2017-03-01 06:55:46 +08:00
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2021-02-10 06:11:35 +08:00
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<!-- Shell -->
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<suppress checks="CyclomaticComplexity"
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files="(GlobComponent).java"/>
|
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2017-03-01 06:55:46 +08:00
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<!-- Log4J-Appender -->
|
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<suppress checks="CyclomaticComplexity"
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files="KafkaLog4jAppender.java"/>
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<suppress checks="NPathComplexity"
|
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files="KafkaLog4jAppender.java"/>
|
2017-04-07 05:51:09 +08:00
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<suppress checks="JavaNCSS"
|
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files="RequestResponseTest.java"/>
|
2017-03-01 06:55:46 +08:00
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2021-01-15 01:58:52 +08:00
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|
<!-- metadata -->
|
KAFKA-12276: Add the quorum controller code (#10070)
The quorum controller stores metadata in the KIP-500 metadata log, not in Apache
ZooKeeper. Each controller node is a voter in the metadata quorum. The leader of the
quorum is the active controller, which processes write requests. The followers are standby
controllers, which replay the operations written to the log. If the active controller goes away,
a standby controller can take its place.
Like the ZooKeeper-based controller, the quorum controller is based on an event queue
backed by a single-threaded executor. However, unlike the ZK-based controller, the quorum
controller can have multiple operations in flight-- it does not need to wait for one operation
to be finished before starting another. Therefore, calls into the QuorumController return
CompleteableFuture objects which are completed with either a result or an error when the
operation is done. The QuorumController will also time out operations that have been
sitting on the queue too long without being processed. In this case, the future is completed
with a TimeoutException.
The controller uses timeline data structures to store multiple "versions" of its in-memory
state simultaneously. "Read operations" read only committed state, which is slightly older
than the most up-to-date in-memory state. "Write operations" read and write the latest
in-memory state. However, we can not return a successful result for a write operation until
its state has been committed to the log. Therefore, if a client receives an RPC response, it
knows that the requested operation has been performed, and can not be undone by a
controller failover.
Reviewers: Jun Rao <junrao@gmail.com>, Ron Dagostino <rdagostino@confluent.io>
2021-02-20 10:03:23 +08:00
|
|
|
<suppress checks="ClassDataAbstractionCoupling"
|
2021-05-15 03:44:16 +08:00
|
|
|
files="(QuorumControllerTest|ReplicationControlManager|ReplicationControlManagerTest).java"/>
|
KAFKA-12276: Add the quorum controller code (#10070)
The quorum controller stores metadata in the KIP-500 metadata log, not in Apache
ZooKeeper. Each controller node is a voter in the metadata quorum. The leader of the
quorum is the active controller, which processes write requests. The followers are standby
controllers, which replay the operations written to the log. If the active controller goes away,
a standby controller can take its place.
Like the ZooKeeper-based controller, the quorum controller is based on an event queue
backed by a single-threaded executor. However, unlike the ZK-based controller, the quorum
controller can have multiple operations in flight-- it does not need to wait for one operation
to be finished before starting another. Therefore, calls into the QuorumController return
CompleteableFuture objects which are completed with either a result or an error when the
operation is done. The QuorumController will also time out operations that have been
sitting on the queue too long without being processed. In this case, the future is completed
with a TimeoutException.
The controller uses timeline data structures to store multiple "versions" of its in-memory
state simultaneously. "Read operations" read only committed state, which is slightly older
than the most up-to-date in-memory state. "Write operations" read and write the latest
in-memory state. However, we can not return a successful result for a write operation until
its state has been committed to the log. Therefore, if a client receives an RPC response, it
knows that the requested operation has been performed, and can not be undone by a
controller failover.
Reviewers: Jun Rao <junrao@gmail.com>, Ron Dagostino <rdagostino@confluent.io>
2021-02-20 10:03:23 +08:00
|
|
|
<suppress checks="ClassFanOutComplexity"
|
2021-07-16 02:41:51 +08:00
|
|
|
files="(QuorumController|ReplicationControlManager|ReplicationControlManagerTest).java"/>
|
KAFKA-12467: Implement QuorumController snapshot generation (#10366)
Implement controller-side snapshot generation.Implement QuorumController snapshot
generation. Note that this PR does not handle KRaft integration, just the internal
snapshot record generation and consumption logic.
Reading a snapshot is relatively straightforward. When the QuorumController
starts up, it loads the most recent snapshot. This is just a series of records
that we replay, plus a log offset ("snapshot epoch") that we advance to.
Writing a snapshot is more complex. There are several components:
the SnapshotWriter which persists the snapshot, the SnapshotGenerator
which manages writing each batch of records, and the SnapshotGeneratorManager
which interfaces the preceding two classes with the event queue.
Controller snapshots are done incrementally. In order to avoid blocking the
controller thread for a long time, we pull a few record batches at a time from
our record batch iterators. These iterators are implemented by controller
manager classes such as ReplicationControlManager, ClusterControlManager, etc.
Finally, this PR adds ControllerTestUtils#deepSortRecords and
ControllerTestUtils#assertBatchIteratorContains, which make it easier to write
unit tests. Since records are often constructed from unsorted data structures,
it is often useful to sort them before comparing them.
Reviewers: David Arthur <mumrah@gmail.com>
2021-04-07 01:18:06 +08:00
|
|
|
<suppress checks="ParameterNumber"
|
|
|
|
|
files="(QuorumController).java"/>
|
KAFKA-12276: Add the quorum controller code (#10070)
The quorum controller stores metadata in the KIP-500 metadata log, not in Apache
ZooKeeper. Each controller node is a voter in the metadata quorum. The leader of the
quorum is the active controller, which processes write requests. The followers are standby
controllers, which replay the operations written to the log. If the active controller goes away,
a standby controller can take its place.
Like the ZooKeeper-based controller, the quorum controller is based on an event queue
backed by a single-threaded executor. However, unlike the ZK-based controller, the quorum
controller can have multiple operations in flight-- it does not need to wait for one operation
to be finished before starting another. Therefore, calls into the QuorumController return
CompleteableFuture objects which are completed with either a result or an error when the
operation is done. The QuorumController will also time out operations that have been
sitting on the queue too long without being processed. In this case, the future is completed
with a TimeoutException.
The controller uses timeline data structures to store multiple "versions" of its in-memory
state simultaneously. "Read operations" read only committed state, which is slightly older
than the most up-to-date in-memory state. "Write operations" read and write the latest
in-memory state. However, we can not return a successful result for a write operation until
its state has been committed to the log. Therefore, if a client receives an RPC response, it
knows that the requested operation has been performed, and can not be undone by a
controller failover.
Reviewers: Jun Rao <junrao@gmail.com>, Ron Dagostino <rdagostino@confluent.io>
2021-02-20 10:03:23 +08:00
|
|
|
<suppress checks="CyclomaticComplexity"
|
KAFKA-13019: Add MetadataImage and MetadataDelta classes for KRaft Snapshots (#10949)
Create the image/ module for storing, reading, and writing broker metadata images.
Metadata images are immutable. New images are produced from existing images
using delta classes. Delta classes are mutable, and represent changes to a base
image.
MetadataImage objects can be converted to lists of KRaft metadata records. This
is essentially writing a KRaft snapshot. The resulting snapshot can be read
back into a MetadataDelta object. In practice, we will typically read the
snapshot, and then read a few more records to get fully up to date. After that,
the MetadataDelta can be converted to a MetadataImage as usual.
Sometimes, we have to load a snapshot even though we already have an existing
non-empty MetadataImage. We would do this if the broker fell too far behind and
needed to receive a snapshot to catch up. This is handled just like the normal
snapshot loading process. Anything that is not in the snapshot will be marked
as deleted in the MetadataDelta once finishSnapshot() is called.
In addition to being used for reading and writing snapshots, MetadataImage also
serves as a cache for broker information in memory. A follow-up PR will replace
MetadataCache, CachedConfigRepository, and the client quotas cache with the
corresponding Image classes. TopicsDelta also replaces the "deferred
partition" state that the RaftReplicaManager currently implements. (That change
is also in a follow-up PR.)
Reviewers: Jason Gustafson <jason@confluent.io>, David Arthur <mumrah@gmail.com>
2021-07-01 15:08:25 +08:00
|
|
|
files="(ClientQuotasImage|ReplicationControlManager).java"/>
|
2021-02-05 06:46:57 +08:00
|
|
|
<suppress checks="NPathComplexity"
|
KAFKA-13019: Add MetadataImage and MetadataDelta classes for KRaft Snapshots (#10949)
Create the image/ module for storing, reading, and writing broker metadata images.
Metadata images are immutable. New images are produced from existing images
using delta classes. Delta classes are mutable, and represent changes to a base
image.
MetadataImage objects can be converted to lists of KRaft metadata records. This
is essentially writing a KRaft snapshot. The resulting snapshot can be read
back into a MetadataDelta object. In practice, we will typically read the
snapshot, and then read a few more records to get fully up to date. After that,
the MetadataDelta can be converted to a MetadataImage as usual.
Sometimes, we have to load a snapshot even though we already have an existing
non-empty MetadataImage. We would do this if the broker fell too far behind and
needed to receive a snapshot to catch up. This is handled just like the normal
snapshot loading process. Anything that is not in the snapshot will be marked
as deleted in the MetadataDelta once finishSnapshot() is called.
In addition to being used for reading and writing snapshots, MetadataImage also
serves as a cache for broker information in memory. A follow-up PR will replace
MetadataCache, CachedConfigRepository, and the client quotas cache with the
corresponding Image classes. TopicsDelta also replaces the "deferred
partition" state that the RaftReplicaManager currently implements. (That change
is also in a follow-up PR.)
Reviewers: Jason Gustafson <jason@confluent.io>, David Arthur <mumrah@gmail.com>
2021-07-01 15:08:25 +08:00
|
|
|
files="(ClientQuotasImage|KafkaEventQueue|ReplicationControlManager).java"/>
|
2021-01-15 01:58:52 +08:00
|
|
|
<suppress checks="(NPathComplexity|ClassFanOutComplexity|CyclomaticComplexity|ClassDataAbstractionCoupling|LocalVariableName|MemberName|ParameterName|MethodLength|JavaNCSS|AvoidStarImport)"
|
|
|
|
|
files="metadata[\\/]src[\\/](generated|generated-test)[\\/].+.java$"/>
|
2021-06-19 00:38:42 +08:00
|
|
|
|
|
|
|
|
<!-- Storage -->
|
|
|
|
|
<suppress checks="(CyclomaticComplexity|ParameterNumber)"
|
|
|
|
|
files="(RemoteLogManagerConfig).java"/>
|
|
|
|
|
|
2021-07-08 07:02:37 +08:00
|
|
|
<!-- benchmarks -->
|
|
|
|
|
<suppress checks="ClassDataAbstractionCoupling"
|
|
|
|
|
files="(ReplicaFetcherThreadBenchmark).java"/>
|
|
|
|
|
|
2017-03-01 06:55:46 +08:00
|
|
|
</suppressions>
|
