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Zookeeper和Kafka集群分别运行在不同的容器中
zookeeper官方镜像,版本3.4
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hostname | Ip addr | port | listener |
---|---|---|---|
zoo1 | 172.19.0.11 | 2184:2181 | |
zoo2 | 172.19.0.12 | 2185:2181 | |
zoo3 | 172.19.0.13 | 2186:2181 | |
kafka1 | 172.19.0.14 | 9092:9092 | kafka1 |
kafka2 | 172.19.0.15 | 9093:9093 | kafka2 |
Kafka3 | 172.19.0.16 | 9094:9094 | Kafka3 |
宿主机root OSX | 192.168.21.139【DHCP获取,会变动】 |
kafka集群在docker网络中可用,和zookeeper处于同一网络
宿主机可以访问zookeeper集群和kafka的broker list
docker重启时集群自动重启
集群的数据文件映射到宿主机器目录中
使用yml文件和$ docker-compose up -d命令创建或重建集群
$ docker-compose up -d
version: '3.4'
services:
zoo1:
image: zookeeper
restart: always
hostname: zoo1
container_name: zoo1
ports:
- 2184:2181
volumes:
- "/Users/shaozhipeng/Development/volume/zkcluster/zoo1/data:/data"
- "/Users/shaozhipeng/Development/volume/zkcluster/zoo1/datalog:/datalog"
environment:
ZOO_MY_ID: 1
ZOO_SERVERS: server.1=0.0.0.0:2888:3888 server.2=zoo2:2888:3888 server.3=zoo3:2888:3888
networks:
br17219:
ipv4_address: 172.19.0.11
zoo2:
image: zookeeper
restart: always
hostname: zoo2
container_name: zoo2
ports:
- 2185:2181
volumes:
- "/Users/shaozhipeng/Development/volume/zkcluster/zoo2/data:/data"
- "/Users/shaozhipeng/Development/volume/zkcluster/zoo2/datalog:/datalog"
environment:
ZOO_MY_ID: 2
ZOO_SERVERS: server.1=zoo1:2888:3888 server.2=0.0.0.0:2888:3888 server.3=zoo3:2888:3888
networks:
br17219:
ipv4_address: 172.19.0.12
zoo3:
image: zookeeper
restart: always
hostname: zoo3
container_name: zoo3
ports:
- 2186:2181
volumes:
- "/Users/shaozhipeng/Development/volume/zkcluster/zoo3/data:/data"
- "/Users/shaozhipeng/Development/volume/zkcluster/zoo3/datalog:/datalog"
environment:
ZOO_MY_ID: 3
ZOO_SERVERS: server.1=zoo1:2888:3888 server.2=zoo2:2888:3888 server.3=0.0.0.0:2888:3888
networks:
br17219:
ipv4_address: 172.19.0.13
networks:
br17219:
external:
name: br17219
kfkluster少拼了个c...
version: '2'
services:
kafka1:
image: wurstmeister/kafka
restart: always
hostname: kafka1
container_name: kafka1
ports:
- 9092:9092
environment:
KAFKA_ADVERTISED_HOST_NAME: kafka1
KAFKA_ADVERTISED_PORT: 9092
KAFKA_ZOOKEEPER_CONNECT: zoo1:2181,zoo2:2181,zoo3:2181
volumes:
- /Users/shaozhipeng/Development/volume/kfkluster/kafka1/logs:/kafka
external_links:
- zoo1
- zoo2
- zoo3
networks:
br17219:
ipv4_address: 172.19.0.14
kafka2:
image: wurstmeister/kafka
restart: always
hostname: kafka2
container_name: kafka2
ports:
- 9093:9093
environment:
KAFKA_ADVERTISED_HOST_NAME: kafka2
KAFKA_ADVERTISED_PORT: 9093
KAFKA_ZOOKEEPER_CONNECT: zoo1:2181,zoo2:2181,zoo3:2181
volumes:
- /Users/shaozhipeng/Development/volume/kfkluster/kafka2/logs:/kafka
external_links:
- zoo1
- zoo2
- zoo3
networks:
br17219:
ipv4_address: 172.19.0.15
kafka3:
image: wurstmeister/kafka
restart: always
hostname: kafka3
container_name: kafka3
ports:
- 9094:9094
environment:
KAFKA_ADVERTISED_HOST_NAME: kafka3
KAFKA_ADVERTISED_PORT: 9094
KAFKA_ZOOKEEPER_CONNECT: zoo1:2181,zoo2:2181,zoo3:2181
volumes:
- /Users/shaozhipeng/Development/volume/kfkluster/kafka3/logs:/kafka
external_links:
- zoo1
- zoo2
- zoo3
networks:
br17219:
ipv4_address: 172.19.0.16
networks:
br17219:
external:
name: br17219
$ pwd
/Users/shaozhipeng/Development/kafka_2.11-2.0.0/bin
$ ./kafka-topics.sh --create --zookeeper localhost:2184,localhost:2185,localhost:2186 --replication-factor 1 --partitions 1 --topic test1
这样宿主机就可以访问kafka集群了
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