目录

架构

步骤

1. 配置本机的Prometheus

2.联通Fabric与Prometheus

3.联通Caliper与Prometheus

4.压力测试开跑

• • -

架构

这里我采用了Hyperledger Caliper来对本地的fabric network进行压力测试，同时用Prometheus对本机性能指标进行监控。通过Grafana进行可视化。

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步骤

1. 配置本机的Prometheus

这里我们使用nodeexporter来监控本机性能开销，使用cadvisor来监控各个contianer，Grafana做UI。

• 修改docker composer文件，设置Prometheus
• 在启动Grafana UI后倒入相应的Prometheus data source，和Prometheus的dash board。
• 之后倒入Docker and OS metrics ( cadvisor, node_exporter )这个Grafana官网上可以下载的dashboard

配置文件：

Prometheus.yaml:

global:
  scrape_interval:     60s
  evaluation_interval: 60s
 
scrape_configs:
  - job_name: prometheus
    static_configs:
      - targets: ['localhost:9090']
        labels:
          instance: prometheus

  - job_name: containers
    static_configs:
      - targets: ['cadvisor:8080']
        labels:
          instance: cadvisor

  - job_name: nodeexporter
    static_configs:
      - targets: ['nodeexporter:9100']
        labels:
          instance: nodeexporter

docker composer：

  nodeexporter:
    container_name: nodeexporter
    image: prom/node-exporter
    ports:
      - 9100:9100
    volumes:
      - /proc:/host/proc
      - /sys:/host/sys
      - /:/rootfs
    networks:
      - byfn

  cadvisor:
    container_name: cadvisor
    image:  google/cadvisor
    ports:
      - 8080:8080
    volumes:
      - /:/rootfs:ro 
      - /var/run:/var/run:ro 
      - /sys:/sys:ro 
      - /var/lib/docker/:/var/lib/docker:ro 
      - /dev/disk/:/dev/disk:ro 
    networks:
      - byfn    

  prometheus:
    container_name: prometheus
    image: prom/prometheus
    ports:
      - "9090:9090"
    volumes:
      - /Users/yuanyi/go/src/github.com/fabric-samples/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml
    networks:
      - byfn

  grafana:
    container_name: grafana
    image:   grafana/grafana
    ports:
      - "3000:3000"
    volumes:
      - /Users/yuanyi/go/src/github.com/fabric-samples/prometheus/grafana/grafana:/var/lib/grafana 
      - /Users/yuanyi/go/src/github.com/fabric-samples/prometheus/grafana/conf:/usr/share/grafana/conf
    networks:
      - byfn

2.联通Fabric与Prometheus

根据Fabric 1.4的文档，添加对应的环境变量。

  orderer.example.com:
    extends:
      file:   base/docker-compose-base.yaml
      service: orderer.example.com
    container_name: orderer.example.com
    environment:
      - ORDERER_OPERATIONS_LISTENADDRESS=0.0.0.0:8443
      - ORDERER_METRICS_PROVIDER=prometheus
    ports:
      - 8443:8443  
    networks:
      - byfn

  peer0.org1.example.com:
    container_name: peer0.org1.example.com
    extends:
      file:  base/docker-compose-base.yaml
      service: peer0.org1.example.com
    environment:
      - CORE_OPERATIONS_LISTENADDRESS=0.0.0.0:9443
      - CORE_METRICS_PROVIDER=prometheus
    ports:
      - 9443:9443
    networks:
      - byfn

跟新Prometheus配置文件，添加对应配置

  - job_name: orderer
    static_configs:
      - targets: ['orderer.example.com:8443']
        labels:
          instance: localhost

  - job_name: peer
    static_configs:
      - targets: ['peer0.org1.example.com:9443']
        labels:
          instance: localhost

在Grafana中配置fabric的dashborad，这里我使用了Fabric explor的dashboard：

https://github.com/hyperledger/blockchain-explorer/blob/ed4fc5b3bfdeeacfb329a884dc7d76971440c93c/app/platform/fabric/artifacts/operations/balance-transfer/balance-transfer-grafana-dashboard.json

3.联通Caliper与Prometheus

根据Caliper的文档，添加Prometheus push gateway

  pushGateway:
    image: prom/pushgateway
    container_name: pushGateway
    ports:
      - "9091:9091"
    networks:
      - byfn

更新Prometheus配置链接push gateway：

  - job_name: pushGateway
    static_configs:
    - targets: ['pushGateway:9091']
      labels:
          instance: pushGateway

在Caliper测试集中添加监控：

    "type": ["docker", "process","prometheus"],
    "docker":{
      "name": ["all"]
    },
    "process": [
      {
        "command" : "node",
        "arguments" : "local-client.js",
        "multiOutput" : "avg"
      }
    ],
    "prometheus": {
      "url":"http://localhost:9090",
      "push_url":"http://localhost:9091"
    },
    "metrics": {
      "ignore": ["prometheus", "pushGateway", "cadvisor", "grafana", "node-exporter"],
      "include":{
        "Endorse Time (s)":{
          "query":"rate(endorser_propsal_duration_sum{chaincode=\\"mycc\\"}[5m])/rate(endorser_propsal_duration_count{chaincode=\\"mycc\\"}[5m])",
          "step": 1,
          "label": "instance",
          "statistic": "avg"
        },
        "Max Memory (MB)": {
          "query":"sum(container_memory_rss{name=~\\".+\\"}) by (name)",
          "step": 10,
          "label": "instance",
          "statistic": "max",
          "multiplier": 0.000001
        }
      }
    },

在Grafana中新建panel，添加query

rate(endorser_propsal_duration_sum{chaincode="mycc:1.0"}[5m])/rate(endorser_propsal_duration_count{chaincode="mycc:1.0"}[5m])

sum(container_memory_rss{name=~\\".+\\"}) by (name)"

4.压力测试开跑

结果：

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相关的代码改动

https://github.com/SamYuan1990/FabriccaliperSample

Hyperledger Fabric性能测试相关文章总结（个人向）

https://blog.csdn.net/oe1019/article/details/106445904

转载自本人csdn