프로젝트 리액터 카프카 공식 레퍼런스를 한글로 번역한 문서입니다.

버전은 1.3.1 기준입니다.

---

Rajini Sivaram, Mark Pollack, Oleh Dokuka

---

목차:

1. Overview
   • 1.1. Apache Kafka
   • 1.2. Project Reactor
   • 1.3. Reactive API for Kafka
2. Motivation
   • 2.1. Functional interface for Kafka
   • 2.2. Non-blocking Back-pressure
   • 2.3. End-to-end Reactive Pipeline
   • 2.4. Comparisons with other Kafka APIs
     • 2.4.1. Kafka Producer and Consumer APIs
     • 2.4.2. Kafka Connect API
     • 2.4.3. Kafka Streams API
3. Getting Started
   • 3.1. Requirements
   • 3.2. Quick Start
     • 3.2.1. Start Kafka
     • 3.2.2. Run Reactor Kafka Samples
     • 3.2.3. Building Reactor Kafka Applications
4. Additional Resources
   • 4.1. Getting help
   • 4.2. Resources
5. New & Noteworthy
   • 5.1. What’s new in Reactor Kafka 1.0.0.RELEASE
   • 5.2. What’s new in Reactor Kafka 1.0.1.RELEASE
   • 5.3. What’s new in Reactor Kafka 1.1.0.RELEASE
6. What’s new in Reactor Kafka 1.2.0.RELEASE
   • 6.1. Overview
   • 6.2. Reactive Kafka Sender
     • 6.2.1. Error handling
     • 6.2.2. Send without result metadata
     • 6.2.3. Threading model
     • 6.2.4. Non-blocking back-pressure
     • 6.2.5. Closing the KafkaSender
     • 6.2.6. Access to the underlying KafkaProducer
   • 6.3. Reactive Kafka Receiver
     • 6.3.1. Subscribing to wildcard patterns
     • 6.3.2. Manual assignment of topic partitions
     • 6.3.3. Controlling commit frequency
     • 6.3.4. Auto-acknowledgement of batches of records
     • 6.3.5. Disabling automatic commits
     • 6.3.6. At-most-once delivery
     • 6.3.7. Partition assignment and revocation listeners
     • 6.3.8. Controlling start offsets for consuming records
     • 6.3.9. Consumer lifecycle
7. Sample Scenarios
   • 7.1. Sending records to Kafka
   • 7.2. Replaying records from Kafka topics
   • 7.3. Reactive pipeline with Kafka sink
   • 7.4. Reactive pipeline with Kafka source
   • 7.5. Reactive pipeline with Kafka source and sink
   • 7.6. At-most-once delivery
   • 7.7. Fan-out with Multiple Streams
   • 7.8. Concurrent Processing with Partition-Based Ordering
   • 7.9. Transactional send
   • 7.10. Exactly-once delivery

---

Next :

Overview
아파치 카프카, 프로젝트 리액터, 카프카 리액터 간단 정리