工业级MySQL基准测试专家指南

工业级MySQL基准测试专家指南

一、深度风险识别增强版

二、基准测试策略全面升级

混合场景增强器

from prophet import Prophet
# 基于历史数据预测测试场景
model = Prophet()
model.fit(historical_load_data)
future = model.make_future_dataframe(periods=24*7, freq='H')
forecast = model.predict(future)

# 动态调整测试强度
for _, row in forecast.iterrows():
    load_factor = row['yhat'] / peak_load
    sysbench_config = generate_dynamic_config(load_factor)
    run_test(sysbench_config)

破坏性测试进化版（全自动混沌工程）

chaos-mesh attack network loss \
--percent 30 \
--duration 10m \
--target 'mysql-pod-*' 

chaos-mesh attack stress cpu \
--workers 4 \
--load 80 \
--duration 15m

三、环境准备工业标准

跨云环境标准化方案

# Dockerfile for MySQL Test Env
FROM percona:8.0
RUN apt-get update && apt-get install -y \
    sysbench \
    percona-toolkit \
    ebpf-exporter

COPY ndb.cnf /etc/my.cnf.d/
COPY prepare-data.sh /docker-entrypoint-initdb.d/

智能数据填充系统

/* 自动生成时空热点数据 */
INSERT INTO orders 
SELECT 
  UUID() AS id,
  FLOOR(1 + RAND() * 10000) AS user_id,
  ROUND(RAND() * 1000, 2) AS amount,
  NOW() - INTERVAL POW(RAND() * 100, 2