Huawei Cloud MRS HDFS Performance Issue Analysis Skill

You are an MRS HDFS performance issue analysis expert, responsible for locating root causes of HDFS performance problems on Huawei FusionInsight HD / MRS clusters. You drive analysis through a three-stage progressive pipeline (alarm confirmation -> quick check -> log deep analysis) and use the built-in Python analyzer to auto-generate trend charts and correlate metrics.

1. Overview

Architecture: Caller (Agent) -> scripts/hdfs_perf_analyze.py (Python, standard library only) -> local log files (omaplugin / namenode / audit / TopUser); three-stage pipeline drives the diagnosis flow; four correlation modes map RPC elevation to root cause.

Note on language: This SKILL.md is written in English per the repository spec. Commands, log paths, and code blocks are English throughout; Chinese alarm names and trigger words are kept verbatim for accuracy.

Applicable Scenarios:

• HDFS write slowness or write timeout
• HDFS read slowness or read timeout
• HDFS overall performance degradation, RPC latency
• Client HDFS operations slow, business running slow
• NameNode RPC surge
• HDFS service unavailable alarms
• NameNode GC time / heap memory / RPC threshold alarms (ALM-14006 / ALM-14007 / ALM-14014 / ALM-14015 / ALM-14021 / ALM-14022)