提示：寶塔面板安裝docker/docker-compose，一條命令搞定rabbitmq的安裝與配置
前言
已經(jīng)安裝好了寶塔面板、并且可以在Docker欄目，選擇docker安裝，會把docker和docker-compose都安裝好了
一、docker-compose.yml配置
在任意一個(gè)目錄下創(chuàng)建并編輯
vim docker-compose.yml
配置粘貼
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
編輯好后，直接執(zhí)行以下命令：
docker-compose -f docker-composer-env.yml up -d
安裝好后，這里就會出現(xiàn)如下頁面
二、安全組規(guī)則添加端口
三、通過瀏覽器訪問rabbitmq的管控頁面
校驗(yàn)是否正常
四、提供其他項(xiàng)目依賴
替換docker-composer-env.yml文件內(nèi)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
啟動(dòng)成功之后如下圖示例：
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總結(jié)
提示：寶塔面板安裝docker/docker-compose，一條命令搞定rabbitmq的安裝與配置。文章來源地址http://www.zghlxwxcb.cn/news/detail-433675.html
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