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This article explains why duplicate message consumption occurs in Kafka, outlines the underlying confirmation and consumer failure issues, and presents idempotent design strategies such as deduplication tables and code examples to ensure reliable processing.
This article explains the causes of duplicate message consumption in RabbitMQ, demonstrates how to reproduce the issue with a 10,000‑message test, and provides three practical solutions using unique IDs stored in Redis to ensure idempotent processing in Java Spring applications.
This article explains how RocketMQ reduces message loss and duplicate consumption through synchronous sending, retry mechanisms, multi‑master brokers, synchronous disk flushing, master‑slave replication, at‑least‑once delivery, and idempotent processing techniques.
This article reviews typical Kafka interview topics, explaining the implementation of delay queues with hierarchical time wheels, how idempotence is achieved via producer IDs, the meanings of ISR, OSR, AR, HW, LEO, LSO, strategies for guaranteeing message order, and practical solutions for handling duplicate consumption.