摘要
Abstract
In modern distributed systems,the producer and consumer sides of Apache Kafka are completely independent.The producer delivers data to the Kafka cluster in asynchronous batches,while the consumer side consumes the data by pulling it.However,this design can lead to data loss on the consumer side in extreme cases,especially in the event of a system crash or failure on the consumer side.This increases the risk of data consistency and integrity since the producer cannot confirm whether the data has been consumed.To solve this problem,the article proposed a scheme based on a business compensation mechanism.关键词
Kafka/消息补偿/数据一致性/数据丢失Key words
Kafka/message compensation/data consistency/data loss分类
信息技术与安全科学
