部署Data-Streaming集群

准备好环境变量文件、compose 文件，三台机器部署一样

环境变量文件 .env

  1. vim .env   #参考ms的.env文件进行修改
  3. MS_KAFKA_TOPIC=JMETER_METRICS
  4. MS_MYSQL_HOST=10.1.240.110 #修改MS的数据库
  5. MS_KAFKA_LOG_TOPIC=JMETER_LOGS
  6. MS_TAG=v1.9.3
  7. MS_JMETER_DATA_PATH=metersphere/data/jmeter
  8. MS_BASE=/opt
  9. MS_KAFKA_TEST_TOPIC=LOAD_TESTS
  10. MS_MYSQL_USER=root
  11. MS_EXTERNAL_MYSQL=true
  12. MS_PREFIX=registry.cn-qingdao.aliyuncs.com/metersphere
  13. MS_MYSQL_DB=metersphere
  14. MS_MYSQL_PASSWORD=Password123@mysql
  15. MS_JMETER_TAG=5.4.1-ms3-jdk8
  16. MS_MYSQL_PORT=3307
  18. MS_KAFKA_BOOTSTRAP_SERVERS=10.1.240.154:9092,10.1.240.155:9092,10.1.240.156:9092  #新加

docker-compose-base.yml

  1. vim docker-compose-base.yml #拷贝ms服务器的docker-compose-base.yml 
  3. version: "2.1"
  4. volumes:
  5.   ms-conf:
  6.     driver_opts:
  7.       type: none
  8.       device: ${MS_BASE}/metersphere/conf
  9.       o: bind
  10.   ms-logs:
  11.     driver_opts:
  12.       type: none
  13.       device: ${MS_BASE}/metersphere/logs
  14.       o: bind
  15.   ms-data:
  16.     driver_opts:
  17.       type: none
  18.       device: ${MS_BASE}/metersphere/data
  19.       o: bind
  21. networks:
  22.   ms-network:
  23.     driver: bridge
  24.     ipam:
  25.       driver: default
  26.       config:
  27.         - subnet: ${MS_DOCKER_SUBNET}

docker-compose-ds.yml

  1. vim docker-compose-ds.yml #新加ds yaml文件
  3. version: "2.1"
  4. services:
  5.   ms-data-streaming:
  6.     image: ${MS_IMAGE_PREFIX}/ms-data-streaming:${MS_IMAGE_TAG}
  7.     container_name: ms-data-streaming
  8.     environment:
  9.       HOST_HOSTNAME: $HOSTNAME
  10.       SPRING_DATASOURCE_URL: jdbc:mysql://${MS_MYSQL_HOST}:${MS_MYSQL_PORT}/${MS_MYSQL_DB}?autoReconnect=false&useUnicode=true&characterEncoding=UTF-8&characterSetResults=UTF-8&zeroDateTimeBehavior=convertToNull&allowPublicKeyRetrieval=true&useSSL=false
  11.       SPRING_DATASOURCE_USERNAME: ${MS_MYSQL_USER}
  12.       SPRING_DATASOURCE_PASSWORD: ${MS_MYSQL_PASSWORD}
  13.       KAFKA_PARTITIONS: 4
  14.       KAFKA_REPLICAS: 1
  15.       KAFKA_TOPIC: ${MS_KAFKA_TOPIC}
  16.       KAFKA_LOG_TOPIC: ${MS_KAFKA_LOG_TOPIC}
  17.       KAFKA_TEST_TOPIC: ${MS_KAFKA_TEST_TOPIC}
  18.       KAFKA_REPORT_TOPIC: ${MS_KAFKA_REPORT_TOPIC}
  19.       KAFKA_BOOTSTRAP-SERVERS: ${MS_KAFKA_HOST}:${MS_KAFKA_PORT}
  20.       FORMAT_MESSAGES_PATTERN_DISABLE_LOOKUPS: 'true'
  21.     healthcheck:
  22.       test: ["CMD", "nc", "-zv", "localhost", "8084"]
  23.       interval: 6s
  24.       timeout: 10s
  25.       retries: 20
  26.     restart: always
  27.     volumes:
  28.       - ./conf/metersphere.properties:/opt/metersphere/conf/metersphere.properties
  29.       - ${MS_BASE}/metersphere/logs/data-streaming:/opt/metersphere/logs/data-streaming
  30.     networks:
  31.       - ms-network

启动 Data-Streaming，执行命令:

  1. source .env 
  2. docker-compose -f docker-compose-base.yml -f docker-compose-ds.yml up -d