Pepper Metrics项目从核心概念上来说，基于Tom Wilkie的RED理论，即对每个服务 （这里的服务特指进程中的某种调用，比如调用一次数据库查询）进行RED指标收集，并持久化到数据库，并通过dashboard进行展示，辅助进行性能趋势分析。
各个组件说明 Profiler， 核心部分，用于启动定期调度任务，并通过ExtensionLoad加载所有的ScheduledRun扩展，按照指定周期发起调度。同时内部维护Stats的构造器Profiler.Builder Scheduler， 虚拟概念，在Profiler作为一个定时任务存在 ExtensionLoader， 非常重要的组件，通过Java SPI机制加载插件，使项目的各个模块可以灵活插拔，也是项目架构的基石 ScheduledRun， 扩展点：pepper metrics core会定时调度，传递所有的Stats，实现插件可以使用Stats当中收集到的性能数据，目前已实现的为scheduled printer组件 Pepper Metrics X， 具体的集成，我们的目标是度量一切，目前计划实现的为：jedis，motan，dubbo，servlet，mybatis等最常用组件
各个组件说明
以Mybatis集成为例，更多其他请参考：User Guide
增加maven依赖
top.zrbcool pepper-metrics-mybatis 1.0.11 top.zrbcool pepper-metrics-ds-prometheus 1.0.11
配置Pepper Metrics定制的Mybatis插件使集成生效
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日志输出效果：
18:27:28 [perf-mybatis:20190822182728] --------------------------------------------------------------------------------------------------------------------------------------------------------- 18:27:28 [perf-mybatis:20190822182728] | Metrics Concurrent Count(Err/Sum) P90(ms) P99(ms) P999(ms) Max(ms) Qps | 18:27:28 [perf-mybatis:20190822182728] | com.pepper.metrics.sample.mybatis.mapper.HotelMapper.selectByCityId 0 0/1950 0.6 1.4 2.5 3.5 32.5 | 18:27:28 [perf-mybatis:20190822182728] | sample.mybatis.mapper.CityMapper.selectCityById 0 0/1950 0.8 2.4 56.6 56.6 32.5 | 18:27:28 [perf-mybatis:20190822182728] ---------------------------------------------------------------------------------------------------------------------------------------------------------
Prometheus指标输出效果（默认的实现，可以修改为其他数据库）
✗ curl localhost:9146/metrics
app_mapper_summary_seconds_max{class=”com/pepper/metrics/sample/mybatis/mapper/CityMapper.xml”,operation=”sample.mybatis.mapper.CityMapper.selectCityById”,} 0.051129036 app_mapper_summary_seconds_max{class=”com/pepper/metrics/sample/mybatis/mapper/HotelMapper.xml”,operation=”com.pepper.metrics.sample.mybatis.mapper.HotelMapper.selectByCityId”,} 0.011559611
app_mapper_summary_seconds{class=”com/pepper/metrics/sample/mybatis/mapper/CityMapper.xml”,operation=”sample.mybatis.mapper.CityMapper.selectCityById”,quantile=”0.9”,} 5.5296E-4 app_mapper_summary_seconds{class=”com/pepper/metrics/sample/mybatis/mapper/CityMapper.xml”,operation=”sample.mybatis.mapper.CityMapper.selectCityById”,quantile=”0.99”,} 0.001765376 app_mapper_summary_seconds{class=”com/pepper/metrics/sample/mybatis/mapper/CityMapper.xml”,operation=”sample.mybatis.mapper.CityMapper.selectCityById”,quantile=”0.999”,} 0.052424704 app_mapper_summary_seconds{class=”com/pepper/metrics/sample/mybatis/mapper/CityMapper.xml”,operation=”sample.mybatis.mapper.CityMapper.selectCityById”,quantile=”0.99999”,} 0.052424704 app_mapper_summary_seconds_count{class=”com/pepper/metrics/sample/mybatis/mapper/CityMapper.xml”,operation=”sample.mybatis.mapper.CityMapper.selectCityById”,} 3040.0 app_mapper_summary_seconds_sum{class=”com/pepper/metrics/sample/mybatis/mapper/CityMapper.xml”,operation=”sample.mybatis.mapper.CityMapper.selectCityById”,} 1.45711331 app_mapper_summary_seconds{class=”com/pepper/metrics/sample/mybatis/mapper/HotelMapper.xml”,operation=”com.pepper.metrics.sample.mybatis.mapper.HotelMapper.selectByCityId”,quantile=”0.9”,} 4.4032E-4 app_mapper_summary_seconds{class=”com/pepper/metrics/sample/mybatis/mapper/HotelMapper.xml”,operation=”com.pepper.metrics.sample.mybatis.mapper.HotelMapper.selectByCityId”,quantile=”0.99”,} 0.001308672 app_mapper_summary_seconds{class=”com/pepper/metrics/sample/mybatis/mapper/HotelMapper.xml”,operation=”com.pepper.metrics.sample.mybatis.mapper.HotelMapper.selectByCityId”,quantile=”0.999”,} 0.002881536 app_mapper_summary_seconds{class=”com/pepper/metrics/sample/mybatis/mapper/HotelMapper.xml”,operation=”com.pepper.metrics.sample.mybatis.mapper.HotelMapper.selectByCityId”,quantile=”0.99999”,} 0.012056576 app_mapper_summary_seconds_count{class=”com/pepper/metrics/sample/mybatis/mapper/HotelMapper.xml”,operation=”com.pepper.metrics.sample.mybatis.mapper.HotelMapper.selectByCityId”,} 3040.0 app_mapper_summary_seconds_sum{class=”com/pepper/metrics/sample/mybatis/mapper/HotelMapper.xml”,operation=”com.pepper.metrics.sample.mybatis.mapper.HotelMapper.selectByCityId”,} 0.772147736
app_mapper_concurrent_gauge{class=”com/pepper/metrics/sample/mybatis/mapper/CityMapper.xml”,operation=”sample.mybatis.mapper.CityMapper.selectCityById”,} 0.0 app_mapper_concurrent_gauge{class=”com/pepper/metrics/sample/mybatis/mapper/HotelMapper.xml”,operation=”com.pepper.metrics.sample.mybatis.mapper.HotelMapper.selectByCityId”,} 0.0
以Mybatis为例，更多其他请参考：User Guide
<dependencies> <!-- pepper metrics dependencies --> <dependency> <groupId>top.zrbcool</groupId> <artifactId>pepper-metrics-mybatis</artifactId> <version>1.0.11</version> </dependency> <!-- pepper-metrics datasource use prometheus by default --> <dependency> <groupId>top.zrbcool</groupId> <artifactId>pepper-metrics-ds-prometheus</artifactId> <version>1.0.11</version> </dependency> </dependencies>
mvn clean package install
