docker部署kafka集群 (多台服务器,生产上注意先查看版本号)

1.  参考

docker部署kafka集群 (多台服务器)

2.  安装 docker-compose

查看之前的博客进行部署(动动小手)

3.  安装  kafka-cluster

目录结

docker-kafka-cluster

─  docker-compose .yml

├──  .env

─  start .sh

 

version:  '3'
services:
  kafka-manager:
    image: sheepkiller/kafka-manager
    restart: always
    hostname: kafka-manager
    container_name: kafka-manager
    ports:
      - 9000:9000
    environment:
      ZK_HOSTS: ${HOST1}:2181 ,${HOST2}:2181 ,${HOST3}:2181
      KAFKA_BROKERS: ${HOST1}:9092 ,${HOST2}:9092 ,${HOST3}:9092
      APPLICATION_SECRET: letmein
      KM_ARGS: -Djava .net .preferIPv4Stack=true
    network_mode: host
  zoo1:
    image: wurstmeister/zookeeper
    restart: always
    hostname: zoo1
    container_name: zoo1
    ports:
      - 2181:2181
      - 2888:2888
      - 3888:3888
    volumes:
      - /data/kafka-cluster/zoo1/data:/data:Z
      - /data/kafka-cluster/zoo1/datalog:/datalog:Z
    environment:
      ZOO_MY_ID: 1
      ZOO_SERVERS: server .1=${HOST1}:2888 :3888 ;2181 server .2=${HOST2}:2888 :3888 ;2181 server .3=${HOST3}:2888 :3888 ;2181 
    network_mode: host
  kafka1:
    image: wurstmeister/kafka
    restart: always
    hostname: kafka1
    container_name: kafka1
    ports:
      - 9092:9092
    volumes:
      - /data/kafka-cluster/kafka1/logs:/kafka:Z
    environment:
      KAFKA_ADVERTISED_HOST_NAME: ${HOST1}
      KAFKA_HOST_NAME: ${HOST1}
      KAFKA_ADVERTISED_PORT: 9092
      KAFKA_BROKER_ID: 1
      KAFKA_ZOOKEEPER_CONNECT: ${HOST1}:2181 ,${HOST2}:2181 ,${HOST3}:2181
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://${HOST1}:9092
      KAFKA_LISTENERS: PLAINTEXT://${HOST1}:9092
    network_mode: host
  zoo2:
    image: wurstmeister/zookeeper
    restart: always
    hostname: zoo2
    container_name: zoo2
    ports:
      - 2181:2181
      - 2888:2888
      - 3888:3888
    volumes:
      - /data/kafka-cluster/zoo2/data:/data:Z
      - /data/kafka-cluster/zoo2/datalog:/datalog:Z
    environment:
      ZOO_MY_ID: 2
      ZOO_SERVERS: server.1=${HOST1}:2888:3888 ;2181 server.2=${HOST2}:2888:3888 ;2181 server.3=${HOST3}:2888:3888 ;2181 
    network_mode: host
  kafka2:
    image: wurstmeister/kafka
    restart: always
    hostname: kafka2
    container_name: kafka2
    ports:
      - 9092:9092
    environment:
      KAFKA_ADVERTISED_HOST_NAME: ${HOST2}
      KAFKA_HOST_NAME: ${HOST2}
      KAFKA_ADVERTISED_PORT: 9092
      KAFKA_BROKER_ID: 2
      KAFKA_ZOOKEEPER_CONNECT: ${HOST1}:2181 ,${HOST2}:2181 ,${HOST3}:2181
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://${HOST2}:9092
      KAFKA_LISTENERS: PLAINTEXT://${HOST2}:9092
    volumes:
      - /data/kafka-cluster/kafka2/logs:/kafka:Z
    network_mode: host
  zoo3:
    image: wurstmeister/zookeeper
    restart: always
    hostname: zoo3
    container_name: zoo3
    ports:
      - 2181:2181
      - 2888:2888
      - 3888:3888
    volumes:
      - /data/kafka-cluster/zoo3/data:/data:Z
      - /data/kafka-cluster/zoo3/datalog:/datalog:Z
    environment:
      ZOO_MY_ID: 3
      ZOO_SERVERS: server.1=${HOST1}:2888:3888 ;2181 server.2=${HOST2}:2888:3888 ;2181 server.3=${HOST3}:2888:3888 ;2181
    network_mode: host
  kafka3:
    image: wurstmeister/kafka
    restart: always
    hostname: kafka3
    container_name: kafka3
    ports:
      - 9092:9092
    environment:
      KAFKA_ADVERTISED_HOST_NAME: ${HOST3}
      KAFKA_HOST_NAME: ${HOST3}
      KAFKA_ADVERTISED_PORT: 9092
      KAFKA_BROKER_ID: 3
      KAFKA_ZOOKEEPER_CONNECT: ${HOST1}:2181 ,${HOST2}:2181 ,${HOST3}:2181
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT ://${HOST3}:9092
      KAFKA_LISTENERS: PLAINTEXT://${HOST3}:9092
    volumes:
      - /data/kafka-cluster/kafka3/logs:/kafka:Z
    network_mode: host

 

[root@k8s-01 docker-kafka-cluster]# cat  .env
HOST1=192.168.3.201
HOST2=192.168.3.202
HOST3=192.168.3.203

 

[root@k8s-01 docker-kafka-cluster]# cat start .sh
# 部署  zoo1 kafka1 kafka-manager
mkdir -p /data/kafka-cluster/zoo1/data     
mkdir -p /data/kafka-cluster/zoo1/datalog 
mkdir -p /data/kafka-cluster/kafka1/logs  
docker-compose up  -d zoo1
docker-compose up  -d  kafka1
docker-compose up  -d  kafka-manager
# 部署  zoo2 kafka2
# mkdir -p /data/kafka-cluster/zoo2/data     
# mkdir -p /data/kafka-cluster/zoo2/datalog 
# mkdir -p /data/kafka-cluster/kafka2/logs  
# docker-compose up  -d zoo2
# docker-compose up  -d  kafka2
# 部署  zoo3 kafka3
# mkdir -p /data/kafka-cluster/zoo3/data    
# mkdir -p /data/kafka-cluster/zoo3/datalog 
# mkdir -p /data/kafka-cluster/kafka3/logs  
# docker-compose up  -d zoo3
# docker-compose up  -d  kafka3

 别在  3  台主机上执行  start .sh

 

4.通过  shell 测试

1.  在Broker1服务器节点上创建一个用于测试的topic

Broker1上创建一个副本为3、分区为5的topic用于测试。

Kafkatopic所有分区会分在不同Broker上,所以该topic5个分区会被分散到3个Broker上,其中有2个Broker得到2个分区,另1个Broker只有1个分区。该结论在下面将会得到验证。

[root@k8s-01 docker-kafka-cluster]# docker exec -it  kafka1 /bin/bash
bash-5.1# cd /opt/kafka_2 .13-2 .7 .1/bin/
bash-5.1# kafka-topics .sh --create --zookeeper 192 .168 .153.7:2181 -- replication-factor 3  --partitions 5  --topic TestTopic 
Created topic TestTopic .

 看新创建的topic信息

 

 

                                                                                                                                                                详见如下解释

Topic: TestTopic PartitionCount: 5 ReplicationFactor: 3

代表TestTopic5个分区,3个副本节点

Topic: TestTopic Partition: 0  Leader: 3 Replicas: 3,1,2 Isr: 3,1,2

Leader:3代表TestTopic下的分区0的Leader  ReplicaBroker .id = 3节点

Replicas代表他的副本节点有Broker.id  = 3,1,2(包括Leader ReplicaFollower Replica,且不管是否存活) Isr示存活并且同步Leader节点的副本有Broker.id=3 ,1,2

 

2.kafka集群验证

上一步在Broker1上创建了一个topic  TestTopic  然后,分别进入Kafka2和Kafka3容器内,查看是否已同步topic

kafka2

 

 看kafka3

可以查看到Kafka2和Kafka3容器应用服务上已同步新创建的topic

分别在Broker1上运行一个生产者,Broker2和Broker3上运行一个消费者

broker1运行生产者

bash-5.1# kafka-console-producer .sh --broker-list 192 .168 .3 .201:9092  --topic TestTopic >hello world       # 输入的信息

 broker2行消费者,会得到生产者消息发来的消息

bash-5.1# kafka-console-consumer .sh --bootstrap-server 192 .168 .3 .202:9092  --topic TestTopic --from-beginning
hello world        # 接收的消息

 broker3运行消费者,会得到生产者消息发来的消息

 

bash-5.1# kafka-console-consumer .sh --bootstrap-server 192 .168 .3 .203:9092  --topic TestTopic --from-beginning
hello world        # 接收的消息

 

posted @ 2022-07-25 16:52  十一没有撤退可言!  阅读(866)  评论(0编辑  收藏  举报