centos7下docker-compose安装kafka集群
0 安装docker(略)
1. 安装docker-compose
- 下载安装文件
curl -L https://github.com/docker/compose/releases/download/1.24.0/docker-compose-`uname -s`-`uname -m` -o /usr/local/bin/docker-compose
- 添加权限
chmod +x /usr/local/bin/docker-compose
- 1
- 查看版本
docker-compose --version
2. 安装zookeeper及kafka镜像
- 查看镜像
docker search zookeeper docker search kafka
- 下载镜像
docker pull zookeeper docker pull wurstmeister/kafka docker pull hlebalbau/kafka-manager #管理工具
3. 创建必要文件及文件夹(docker-compose.yml同一目录下)
- kafka文件夹
mkdir kafka1 mkdir kafka2 mkdir kafka3
- zookeeper文件夹
mkdir zookeeper1 mkdir zookeeper2 mkdir zookeeper3
- zookeeper配置文件
mkdir zooConfig cd zooConfig mkdir zoo1 mkdir zoo2 mkdir zoo3
在zoo1,zoo2,zoo3中分别创建myid文件,并写入分别写入id数字,如zoo1中的myid中写入1
创建zoo配置文件zoo.cfg
# The number of milliseconds of each tick tickTime=2000 # The number of ticks that the initial # synchronization phase can take initLimit=10 # The number of ticks that can pass between # sending a request and getting an acknowledgement syncLimit=5 # the directory where the snapshot is stored. # do not use /tmp for storage, /tmp here is just # example sakes. dataDir=/data dataLogDir=/datalog # the port at which the clients will connect clientPort=2181 # the maximum number of client connections. # increase this if you need to handle more clients #maxClientCnxns=60 # # Be sure to read the maintenance section of the # administrator guide before turning on autopurge. # # http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance # # The number of snapshots to retain in dataDir autopurge.snapRetainCount=3 # Purge task interval in hours # Set to "0" to disable auto purge feature autopurge.purgeInterval=1 server.1= zoo1:2888:3888 server.2= zoo2:2888:3888 server.3= zoo3:2888:3888
4. 创建网络
docker network create --driver bridge --subnet 172.23.0.0/25 --gateway 172.23.0.1 zookeeper_network
4. 创建docker-compose.yml文件
version: ‘2‘ services: zoo1: image: zookeeper # 镜像 restart: always # 重启 container_name: zoo1 hostname: zoo1 ports: - "2181:2181" volumes: - "./zooConfig/zoo.cfg:/conf/zoo.cfg" # 配置 - "/mq/zookeeper1/data:/data" - "/mq/zookeeper1/datalog:/datalog" environment: ZOO_MY_ID: 1 # id ZOO_SERVERS: server.1=zoo1:2888:3888 server.2=zoo2:2888:3888 server.3=zoo3:2888:3888 networks: default: ipv4_address: 172.23.0.11 zoo2: image: zookeeper restart: always container_name: zoo2 hostname: zoo2 ports: - "2182:2181" volumes: - "./zooConfig/zoo.cfg:/conf/zoo.cfg" - "/mq/zookeeper2/data:/data" - "/mq/zookeeper2/datalog:/datalog" environment: ZOO_MY_ID: 2 ZOO_SERVERS: server.1=zoo1:2888:3888 server.2=zoo2:2888:3888 server.3=zoo3:2888:3888 networks: default: ipv4_address: 172.23.0.12 zoo3: image: zookeeper restart: always container_name: zoo3 hostname: zoo3 ports: - "2183:2181" volumes: - "./zooConfig/zoo.cfg:/conf/zoo.cfg" - "/mq/zookeeper3/data:/data" - "/mq/zookeeper3/datalog:/datalog" environment: ZOO_MY_ID: 3 ZOO_SERVERS: server.1=zoo1:2888:3888 server.2=zoo2:2888:3888 server.3=zoo3:2888:3888 networks: default: ipv4_address: 172.23.0.13 kafka1: image: wurstmeister/kafka # 镜像 restart: always container_name: kafka1 hostname: kafka1 ports: - 9092:9092 - 9999:9999 environment: KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.145.111:9092 # 暴露在外的地址 KAFKA_ADVERTISED_HOST_NAME: kafka1 # KAFKA_HOST_NAME: kafka1 KAFKA_ZOOKEEPER_CONNECT: zoo1:2181,zoo2:2181,zoo3:2181 KAFKA_ADVERTISED_PORT: 9092 # 暴露在外的端口 KAFKA_BROKER_ID: 0 # KAFKA_LISTENERS: PLAINTEXT://0.0.0.0:9092 JMX_PORT: 9999 # jmx volumes: - /etc/localtime:/etc/localtime - "/mq/kafka1/logs:/kafka" links: - zoo1 - zoo2 - zoo3 networks: default: ipv4_address: 172.23.0.14 kafka2: image: wurstmeister/kafka restart: always container_name: kafka2 hostname: kafka2 ports: - 9093:9092 - 9998:9999 environment: KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.145.111:9093 KAFKA_ADVERTISED_HOST_NAME: kafka2 KAFKA_HOST_NAME: kafka2 KAFKA_ZOOKEEPER_CONNECT: zoo1:2181,zoo2:2181,zoo3:2181 KAFKA_ADVERTISED_PORT: 9093 KAFKA_BROKER_ID: 1 KAFKA_LISTENERS: PLAINTEXT://0.0.0.0:9092 JMX_PORT: 9999 volumes: - /etc/localtime:/etc/localtime - "/mq/kafka2/logs:/kafka" links: - zoo1 - zoo2 - zoo3 networks: default: ipv4_address: 172.23.0.15 kafka3: image: wurstmeister/kafka restart: always container_name: kafka3 hostname: kafka3 ports: - 9094:9092 - 9997:9999 environment: KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.145.111:9094 KAFKA_ADVERTISED_HOST_NAME: kafka3 KAFKA_HOST_NAME: kafka3 KAFKA_ZOOKEEPER_CONNECT: zoo1:2181,zoo2:2181,zoo3:2181 KAFKA_ADVERTISED_PORT: 9094 KAFKA_BROKER_ID: 2 KAFKA_LISTENERS: PLAINTEXT://0.0.0.0:9092 JMX_PORT: 9999 volumes: - /etc/localtime:/etc/localtime - "/mq/kafka3/logs:/kafka" links: - zoo1 - zoo2 - zoo3 networks: default: ipv4_address: 172.23.0.16 kafka-manager: image: hlebalbau/kafka-manager:1.3.3.22 restart: always container_name: kafka-manager hostname: kafka-manager ports: - 9000:9000 links: - kafka1 - kafka2 - kafka3 - zoo1 - zoo2 - zoo3 environment: ZK_HOSTS: zoo1:2181,zoo2:2181,zoo3:2181 KAFKA_BROKERS: kafka1:9092,kafka2:9093,kafka3:9094 APPLICATION_SECRET: letmein KAFKA_MANAGER_AUTH_ENABLED: "true" # 开启验证 KAFKA_MANAGER_USERNAME: "admin" # 用户名 KAFKA_MANAGER_PASSWORD: "admin" # 密码 KM_ARGS: -Djava.net.preferIPv4Stack=true networks: default: ipv4_address: 172.23.0.10 networks: default: external: name: zookeeper_network
6. 启停集群
- 启动集群
docker-compose -f docker-compose.yml up -d
- 停止集群
docker-compose -f docker-compose.yml stop
- 单个节点停止
docker rm -f zoo1
7. 查看zookeeper集群是否正常
docker exec -it zoo1 bash bin/zkServer.sh status # mode 为leader或follower正常
8. 创建topic
- 验证,每个list理论上都可以看到新建的topic
docker exec -it kafka1 bash kafka-topics.sh --create --zookeeper zoo1:2181 --replication-factor 1 --partitions 3 --topic test001 kafka-topics.sh --list --zookeeper zoo1:2181 kafka-topics.sh --list --zookeeper zoo2:2181 kafka-topics.sh --list --zookeeper zoo3:2181
- 生产消息
kafka-console-producer.sh --broker-list kafka1:9092,kafka2:9093,kafka3:9094 --topic test001
- 消费消息
kafka-console-consumer.sh --bootstrap-server kafka1:9092,kafka2:9093,kafka3:9094 --topic test001 --from-beginning
9. 防火墙开启相关端口
firewall-cmd --add-ports=9000/tcp --permernent firewall-cmd --reload
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