Spring for Apache Kafka

Authors

Gary Russell , Artem Bilan , Biju Kunjummen

2.2.4.BUILD-SNAPSHOT

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Table of Contents

1. Preface
2. What’s new?
2.1. What’s New in 2.2 Since 2.1
2.1.1. Kafka Client Version
2.1.2. Class and Package Changes
2.1.3. After Rollback Processing
2.1.4. ConcurrentKafkaListenerContainerFactory Changes
2.1.5. Listener Container Changes
2.1.6. @KafkaListener Changes
2.1.7. Header Mapping Changes
2.1.8. Embedded Kafka Changes
2.1.9. JsonSerializer/Deserializer Enhancements
2.1.10. Kafka Streams Changes
2.1.11. Transactional ID
3. Introduction
3.1. Quick Tour for the Impatient
3.1.1. Compatibility
3.1.2. A Very, Very Quick Example
3.1.3. With Java Configuration
3.1.4. Even Quicker, with Spring Boot
4. Reference
4.1. Using Spring for Apache Kafka
4.1.1. Configuring Topics
4.1.2. Sending Messages
Using KafkaTemplate
Transactions
Using ReplyingKafkaTemplate
4.1.3. Receiving Messages
Message Listeners
Message Listener Containers
@KafkaListener Annotation
Container Thread Naming
@KafkaListener as a Meta Annotation
@KafkaListener on a Class
@KafkaListener Lifecycle Management
@KafkaListener @Payload Validation
Rebalancing Listeners
Forwarding Listener Results using @SendTo
Filtering Messages
Retrying Deliveries
Stateful Retry
Detecting Idle and Non-Responsive Consumers
Topic/Partition Initial Offset
Seeking to a Specific Offset
Container factory
Thread Safety
4.1.4. Pausing and Resuming Listener Containers
4.1.5. Events
4.1.6. Serialization, Deserialization, and Message Conversion
Mapping Types
Spring Messaging Message Conversion
Using ErrorHandlingDeserializer
Payload Conversion with Batch Listeners
ConversionService Customization
4.1.7. Message Headers
4.1.8. Null Payloads and Log Compaction of Tombstone Records
4.1.9. Handling Exceptions
Listener Error Handlers
Container Error Handlers
Consumer-Aware Container Error Handlers
Seek To Current Container Error Handlers
Container Stopping Error Handlers
After-rollback Processor
Publishing Dead-letter Records
4.1.10. Kerberos
4.2. Kafka Streams Support
4.2.1. Basics
4.2.2. Spring Management
4.2.3. JSON Serialization and Deserialization
4.2.4. Using KafkaStreamsBrancher
4.2.5. Configuration
4.2.6. Kafka Streams Example
4.3. Testing Applications
4.3.1. JUnit
4.3.2. Configuring Topics
4.3.3. Using the Same Brokers for Multiple Test Classes
4.3.4. @EmbeddedKafka Annotation
4.3.5. Embedded Broker in @SpringBootTest Annotations
JUnit4 Class Rule
@EmbeddedKafka Annotation or EmbeddedKafkaBroker Bean
4.3.6. Hamcrest Matchers
4.3.7. AssertJ Conditions
4.3.8. Example
5. Spring Integration
5.1. Spring Integration for Apache Kafka
5.1.1. Outbound Channel Adapter
5.1.2. Message-driven Channel Adapter
5.1.3. Outbound Gateway
5.1.4. Inbound Gateway
5.1.5. Message Conversion
5.1.6. Null Payloads and Log Compaction Tombstone Records
5.1.7. What’s New in Spring Integration for Apache Kafka
2.1.x
2.2.x
2.3.x
3.0.x
3.1.x
6. Other Resources
A. Override Dependencies to use the 2.1.x kafka-clients with an Embedded Broker
B. Change History
B.1. Changes between 2.0 and 2.1
B.1.1. Kafka Client Version
B.1.2. JSON Improvements
B.1.3. Container Stopping Error Handlers
B.1.4. Pausing and Resuming Containers
B.1.5. Stateful Retry
B.1.6. Client ID
B.1.7. Logging Offset Commits
B.1.8. Default @KafkaHandler
B.1.9. ReplyingKafkaTemplate
B.1.10. ChainedKafkaTransactionManager
B.1.11. Migration Guide from 2.0
B.2. Changes Between 1.3 and 2.0
B.2.1. Spring Framework and Java Versions
B.2.2. @KafkaListener Changes
B.2.3. Message Listeners
B.2.4. Using ConsumerAwareRebalanceListener
B.3. Changes Between 1.2 and 1.3
B.3.1. Support for Transactions
B.3.2. Support for Headers
B.3.3. Creating Topics
B.3.4. Support for Kafka Timestamps
B.3.5. @KafkaListener Changes
B.3.6. @EmbeddedKafka Annotation
B.3.7. Kerberos Configuration
B.4. Changes between 1.1 and 1.2
B.5. Changes between 1.0 and 1.1
B.5.1. Kafka Client
B.5.2. Batch Listeners
B.5.3. Null Payloads
B.5.4. Initial Offset
B.5.5. Seek