• 【一条命令搞定rabbitmq的安装与配置】

    提示：宝塔面板安装docker/docker-compose，一条命令搞定rabbitmq的安装与配置

    文章目录

    前言

    已经安装好了宝塔面板、并且可以在Docker栏目，选择docker安装，会把docker和docker-compose都安装好了
    在这里插入图片描述

    一、docker-compose.yml配置

    在任意一个目录下创建并编辑

    vim docker-compose.yml

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    配置粘贴

    version: '3.8'
services:
  rabbitmq:
    image: rabbitmq:3.7.25-management
    container_name: rabbitmq
    volumes:
      - /mydata/rabbitmq/data:/var/lib/rabbitmq
      - /mydata/rabbitmq/log:/var/log/rabbitmq
    ports:
      - 5672:5672
      - 15672:15672

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    编辑好后，直接执行以下命令：

    docker-compose -f  docker-composer-env.yml up  -d

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    安装好后，这里就会出现如下页面
    在这里插入图片描述

    二、安全组规则添加端口

    在这里插入图片描述

    三、通过浏览器访问rabbitmq的管控页面

    校验是否正常
    在这里插入图片描述

    四、提供其他项目依赖

    替换docker-composer-env.yml文件内容

    version: '3.8'
services:
  nacos:
    restart: always  
    image: nacos/nacos-server:1.4.2
    container_name: nacos
    environment:
      - MODE=standalone
    volumes:
      - /mydata/nacos/logs/:/home/nacos/logs
    ports:
      - 8848:8848
  spark-master:
    restart: always
    image: bitnami/spark:2.4.3
    container_name: spark-master
    user: root
    environment:
      - "SPARK_MODE=master"
      - "SPARK_RPC_AUTHENTICATION_ENABLED=no"
      - "SPARK_RPC_ENCRYPTION_ENABLED=no"
      - "SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no"
      - "SPARK_SSL_ENABLED=no"
    ports:
      - 8180:8080
      - 7077:7077
    volumes:
      - /mydata/python:/python
  spark-worker1:
    restart: always
    image: bitnami/spark:2.4.3
    container_name: spark-worker1
    user: root
    environment:
      - "SPARK_MODE=worker"
      - "SPARK_MASTER_URL=spark://master:7077"
      - "SPARK_WORKER_MEMORY=1G"
      - "SPARK_WORKER_CORES=1"
      - "SPARK_RPC_AUTHENTICATION_ENABLED=no"
      - "SPARK_RPC_ENCRYPTION_ENABLED=no"
      - "SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no"
      - "SPARK_SSL_ENABLED=no"
  spark-worker2:
    restart: always  
    image: bitnami/spark:2.4.3
    container_name: spark-worker2
    user: root
    environment:
      - "SPARK_MODE=worker"
      - "SPARK_MASTER_URL=spark://master:7077"
      - "SPARK_WORKER_MEMORY=1G"
      - "SPARK_WORKER_CORES=1"
      - "SPARK_RPC_AUTHENTICATION_ENABLED=no"
      - "SPARK_RPC_ENCRYPTION_ENABLED=no"
      - "SPARK_LOCAL_STORAGE_ENCRYPTION_ENABLED=no"
  seata-server:
    container_name: seata-server
    restart: always
    image: seataio/seata-server:1.4.0
    environment:
     - "SEATA_IP=106.14.132.94"
     - "SEATA_CONFIG_NAME=file:/root/seata-config/registry"
    volumes:
      - /mydata/seataServer/conf:/root/seata-config
      - /mydata/seataServer/logs:/root/logs
    ports:
      - 8091:8091
  oap:
    image: apache/skywalking-oap-server:8.1.0-es7
    container_name: oap
    depends_on:
      - elasticsearch
    links:
      - elasticsearch
    restart: always
    ports:
      - 11800:11800
      - 12800:12800
    environment:
      - "SW_STORAGE=elasticsearch7"
      - "SW_STORAGE_ES_CLUSTER_NODES=elasticsearch:9200"
      - "TZ=Asia/Shanghai"
  ui:
    image: apache/skywalking-ui:8.1.0
    container_name: ui
    depends_on:
      - oap
    links:
      - oap
    restart: always
    ports:
      - 8280:8080
    environment:
      - "SW_OAP_ADDRESS=oap:12800"
      - "TZ=Asia/Shanghai"
  kafka:
    restart: always
    image: wurstmeister/kafka
    container_name: kafka
    volumes:
      - /etc/localtime:/etc/localtime
    ports:
      - 9092:9092
    environment:
    - "KAFKA_ADVERTISED_HOST_NAME=106.14.132.94"
    - "KAFKA_ZOOKEEPER_CONNECT=zookeeper:2181"
    - "KAFKA_ADVERTISED_PORT=9092"
    - "KAFKA_LOG_RETENTION_HOURS=120"
    - "KAFKA_MESSAGE_MAX_BYTES=10000000"
    - "KAFKA_REPLICA_FETCH_MAX_BYTES=10000000"
    - "KAFKA_GROUP_MAX_SESSION_TIMEOUT_MS=60000"
    - "KAFKA_NUM_PARTITIONS=3"
    - "KAFKA_DELETE_RETENTION_MS=1000"
  kafka-manager:
    restart: always  
    image: sheepkiller/kafka-manager
    container_name: kafka-manager
    environment:
      ZK_HOSTS: 106.14.132.94
    ports:
      - 9009:9000
  rabbitmq:
    restart: always  
    image: rabbitmq:3.7.25-management
    container_name: rabbitmq
    volumes:
      - /mydata/rabbitmq/data:/var/lib/rabbitmq
      - /mydata/rabbitmq/log:/var/log/rabbitmq
    ports:
      - 5672:5672
      - 15672:15672	  
  elasticsearch:
    restart: always  
    image: elasticsearch:7.9.0
    container_name: elasticsearch
    environment:
      - "cluster.name=elasticsearch"
      - "discovery.type=single-node"
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    volumes:
      - /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins
      - /mydata/elasticsearch/data:/usr/share/elasticsearch/data
    ports:
      - 9200:9200
      - 9300:9300
  kibana:
    restart: always  
    image: kibana:6.4.0
    container_name: kibana
    links:
      - elasticsearch:es
    depends_on:
      - elasticsearch
    environment:
      - "elasticsearch.hosts=http://es:9200"
    ports:
      - 5601:5601
  logstash:
    restart: always  
    image: logstash:6.4.0
    container_name: logstash
    volumes:
      - /mydata/logstash/filebeat-filter-console.conf:/usr/share/logstash/pipeline/filebeat-filter-console.conf
      - /mydata/logstash/filebeat-filter-es.conf:/usr/share/logstash/pipeline/filebeat-filter-es.conf
      - /mydata/logstash/filebeat-filter-print.conf:/usr/share/logstash/pipeline/filebeat-filter-print.conf
    depends_on:
      - elasticsearch
    links:
      - elasticsearch:es
    ports:
      - 4560:4560
  mongo:
    restart: always  
    image: mongo:3.2
    container_name: mongo
    volumes:
      - /mydata/mongo/db:/data/db
    ports:
      - 27017:27017
  zookeeper:
    restart: always  
    image: zookeeper:3.5
    container_name: zookeeper
    ports:
      - 2181:2181 
    volumes:
      - /mydata/zookeeper/data:/data
      - /mydata/zookeeper/conf:/conf
  rocketmq:
    image: rocketmqinc/rocketmq
    container_name: rocketmq
    restart: always    
    ports:
      - 9876:9876
    volumes:
      - /mydata/rocketmq/logs:/home/rocketmq/logs
      - /mydata/rocketmq/store:/home/rocketmq/store
    command: sh mqnamesrv
  broker:
    image: rocketmqinc/rocketmq
    container_name: rmqbroker
    restart: always    
    ports:
      - 10909:10909
      - 10911:10911
      - 10912:10912
    volumes:
      - /mydata/rocketmq/logs:/home/rocketmq/logs
      - /mydata/rocketmq/store:/home/rocketmq/store
      - /mydata/rocketmq/conf/broker.conf:/opt/rocketmq-4.4.0/conf/broker.conf
    command: sh mqbroker -n namesrv:9876 -c ../conf/broker.conf
    depends_on:
      - rocketmq
    environment:
      - JAVA_HOME=/usr/lib/jvm/jre
  console:
    image: styletang/rocketmq-console-ng
    container_name: rocketmq-console-ng
    restart: always    
    ports:
      - 8076:8080
    depends_on:
      - rocketmq
    environment:
      - JAVA_OPTS= -Dlogging.level.root=info -Drocketmq.namesrv.addr=rocketmq:9876 
      - Dcom.rocketmq.sendMessageWithVIPChannel=false

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    启动成功之后如下图示例：
    在这里插入图片描述

    总结

    提示：宝塔面板安装docker/docker-compose，一条命令搞定rabbitmq的安装与配置。

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  • 原文地址：https://blog.csdn.net/java_wxid/article/details/128178753