使用 Kafka AdminClient API 和 Confluent Metrics API 暴露的 JMX 指标诊断 Kafka 消费者组滞后问题。识别缓慢消费者、主题分区热点以及导致滞后增长的代理再平衡风暴。提供逐步排查手册来调整 fetch.min.bytes、max.poll.records 和分区数量。
该技能是一个诊断 Apache Kafka 消费者组滞后问题的综合排查手册。它利用 Kafka AdminClient API 和 Confluent Metrics API 暴露的 JMX 指标来识别缓慢消费者、主题分区热点以及代理再平衡风暴等导致滞后增长的原因。该技能支持 Docker 和本地 Gradle 环境，并提供逐步指导来调整关键配置参数，如 fetch.min.bytes、max.poll.records 和分区数量。它旨在帮助开发者和运维人员通过系统性的方法分析和解决 Kafka 消费者性能问题，确保消息处理的实时性和吞吐量。技能来源自 Apache Kafka 官方文档，并提供了详细的安装和测试说明。
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apache-kafka-consumer-lag-runbook使用 Kafka AdminClient API 和 Confluent Metrics API 暴露的 JMX 指标诊断 Kafka 消费者组滞后问题。识别缓慢消费者、主题分区热点以及导致滞后增长的代理再平衡风暴。提供逐步排查手册来调整 fetch.min.bytes、max.poll.records 和分区数量。
Java
使用与您环境匹配的上游安装或设置路径：
来自上游的要求和注意事项：
基本用法或入门指南：
./gradlew test -Pkafka.test.run.flaky=true # 运行标记为 flaky 的测试
从上游文档提取：https://raw.githubusercontent.com/apache/kafka/HEAD/README.md
This repo contains 20 individual skills — each has its own dedicated page.
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