Jul 15, 2020 · Big Data

Root Causes and Solutions for Kafka Duplicate Consumption

This article analyzes the common causes of Kafka duplicate consumption, such as uncommitted offsets due to forced thread termination, auto‑commit settings, session timeouts, rebalancing, and slow processing, and provides practical solutions including disabling auto‑commit, adjusting consumer configurations, and using new consumer groups.

Consumer ConfigurationDuplicate ConsumptionKafka

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Root Causes and Solutions for Kafka Duplicate Consumption

Programmer DD

May 28, 2020 · Backend Development

How to Use RocketMQ for Traffic Shaping and Peak‑Smoothing in Spring Boot

This article explains how RocketMQ’s decoupling, asynchronous and peak‑shaving features can be applied in a Spring Boot project to buffer massive like‑click traffic, reduce database pressure, and dynamically tune consumer pull parameters for optimal throughput.

Consumer ConfigurationMessage QueuePeak Shaving

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How to Use RocketMQ for Traffic Shaping and Peak‑Smoothing in Spring Boot