docker搭建kafka集群的方法實現

一、原生Docker命令

1. 刪除所有dangling數據卷(即無用的Volume,僵屍文件)

docker volume rm $(docker volume ls -qf dangling=true)

2. 刪除所有dangling鏡像(即無tag的鏡像)

docker rmi $(docker images | grep "^<none>" | awk "{print $3}"

3. 刪除所有關閉的容器

docker ps -a | grep Exit | cut -d ' ' -f 1 | xargs docker rm

二、鏡像選擇

環境為M1版本的mbp:

  • Zookeeper采用zookeeper
  • Kafka采用wurstmeister/kafka
  • Kafka-Manager采用scjtqs/kafka-manager
  • Mysql采用mysql/mysql-server

三、集群規劃

1. 新建docker網絡

docker network create docker-net --subnet 172.20.10.0/16
docker network ls

2. 集群規劃

hostname Ip addr port listener
zook1 172.20.10.11 2184:2181  
zook2 172.20.10.12 2185:2181  
zook3 172.20.10.13 2186:2181  
kafka1 172.20.10.14 內部9092:9092,外部9192:9192 kafka1
kafka2 172.20.10.15 內部9093:9093,外部9193:9193 kafka2
Kafka3 172.20.10.16 內部9094:9094,外部9194:9194 Kafka3
本機(宿主機Mbp) 172.20.10.2    
kafka manager 172.20.10.10 9000:9000  

四、Zookeeper集群安裝

1. 新建文件zk-docker-compose.yml

version: '3.4'

services:
  zook1:
    image: zookeeper:latest
    restart: always
    hostname: zook1
    container_name: zook1 #容器名稱,方便在rancher中顯示有意義的名稱
    ports:
    - 2183:2181 #將本容器的zookeeper默認端口號映射出去
    volumes: # 掛載數據卷
    - "/Users/konsy/Development/volume/zkcluster/zook1/data:/data"
    - "/Users/konsy/Development/volume/zkcluster/zook1/datalog:/datalog"
    - "/Users/konsy/Development/volume/zkcluster/zook1/logs:/logs"
    environment:
        ZOO_MY_ID: 1  #即是zookeeper的節點值,也是kafka的brokerid值
        ZOO_SERVERS: server.1=zook1:2888:3888;2181 server.2=zook2:2888:3888;2181 server.3=zook3:2888:3888;2181
    networks:
        docker-net:
            ipv4_address: 172.20.10.11

  zook2:   
    image: zookeeper:latest
    restart: always
    hostname: zook2
    container_name: zook2 #容器名稱,方便在rancher中顯示有意義的名稱
    ports:
    - 2184:2181 #將本容器的zookeeper默認端口號映射出去
    volumes:
    - "/Users/konsy/Development/volume/zkcluster/zook2/data:/data"
    - "/Users/konsy/Development/volume/zkcluster/zook2/datalog:/datalog"
    - "/Users/konsy/Development/volume/zkcluster/zook2/logs:/logs"
    environment:
        ZOO_MY_ID: 2  #即是zookeeper的節點值,也是kafka的brokerid值
        ZOO_SERVERS: server.1=zook1:2888:3888;2181 server.2=zook2:2888:3888;2181 server.3=zook3:2888:3888;2181
    networks:
        docker-net:
            ipv4_address: 172.20.10.12
            
  zook3:   
    image: zookeeper:latest
    restart: always
    hostname: zook3
    container_name: zook3 #容器名稱,方便在rancher中顯示有意義的名稱
    ports:
    - 2185:2181 #將本容器的zookeeper默認端口號映射出去
    volumes:
    - "/Users/konsy/Development/volume/zkcluster/zook3/data:/data"
    - "/Users/konsy/Development/volume/zkcluster/zook3/datalog:/datalog"
    - "/Users/konsy/Development/volume/zkcluster/zook3/logs:/logs"
    environment:
        ZOO_MY_ID: 3  #即是zookeeper的節點值,也是kafka的brokerid值
        ZOO_SERVERS: server.1=zook1:2888:3888;2181 server.2=zook2:2888:3888;2181 server.3=zook3:2888:3888;2181
    networks:
        docker-net:
            ipv4_address: 172.20.10.13
networks:
  docker-net:
    external:
      name: docker-net

2. 執行腳本部署zookeeper至Docker:

docker compose -f ./zk-docker-compose.yml up -d

五、Kafka集群安裝

1. 新建文件kafka-docker-compose.yml

version: '2'

services:
  kafka1:
    image: docker.io/wurstmeister/kafka
    restart: always
    hostname: kafka1
    container_name: kafka1
    ports:
      - 9093:9093
      - 9193:9193
    environment:
      KAFKA_BROKER_ID: 1
      KAFKA_LISTENERS: INSIDE://:9093,OUTSIDE://:9193
      #KAFKA_ADVERTISED_LISTENERS=INSIDE://<container>:9092,OUTSIDE://<host>:9094
      SKAFKA_ADVERTISED_LISTENERS: INSIDE://kafka1:9093,OUTSIDE://localhost:9193
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INSIDE:PLAINTEXT,OUTSIDE:PLAINTEXT
      KAFKA_INTER_BROKER_LISTENER_NAME: INSIDE
      KAFKA_ZOOKEEPER_CONNECT: zook1:2181,zook2:2181,zook3:2181
      ALLOW_PLAINTEXT_LISTENER : 'yes'
      JMX_PORT: 9999 #開放JMX監控端口,來監測集群數據
    volumes:
      - /Users/konsy/Development/volume/kafka/kafka1/wurstmeister/kafka:/wurstmeister/kafka
      - /Users/konsy/Development/volume/kafka/kafka1/kafka:/kafka
    external_links:
      - zook1
      - zook2
      - zook3
    networks:
      docker-net:
        ipv4_address: 172.20.10.14

  kafka2:
    image: docker.io/wurstmeister/kafka
    restart: always
    hostname: kafka2
    container_name: kafka2
    ports:
      - 9094:9094
      - 9194:9194
    environment:
      KAFKA_BROKER_ID: 2
      KAFKA_LISTENERS: INSIDE://:9094,OUTSIDE://:9194
      #KAFKA_ADVERTISED_LISTENERS=INSIDE://<container>:9092,OUTSIDE://<host>:9094
      KAFKA_ADVERTISED_LISTENERS: INSIDE://kafka2:9094,OUTSIDE://localhost:9194
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INSIDE:PLAINTEXT,OUTSIDE:PLAINTEXT
      KAFKA_INTER_BROKER_LISTENER_NAME: INSIDE
      KAFKA_ZOOKEEPER_CONNECT: zook1:2181,zook2:2181,zook3:2181
      ALLOW_PLAINTEXT_LISTENER : 'yes'
      JMX_PORT: 9999 #開放JMX監控端口,來監測集群數據
    volumes:
      - /Users/konsy/Development/volume/kafka/kafka2/wurstmeister/kafka:/wurstmeister/kafka
      - /Users/konsy/Development/volume/kafka/kafka2/kafka:/kafka
    external_links:
      - zook1
      - zook2
      - zook3
    networks:
      docker-net:
        ipv4_address: 172.20.10.15

  kafka3:
    image: docker.io/wurstmeister/kafka
    restart: always
    hostname: kafka3
    container_name: kafka3
    ports:
      - 9095:9095
      - 9195:9195
    environment:
      KAFKA_BROKER_ID: 3
      KAFKA_LISTENERS: INSIDE://:9095,OUTSIDE://:9195
      #KAFKA_ADVERTISED_LISTENERS=INSIDE://<container>:9092,OUTSIDE://<host>:9094
      KAFKA_ADVERTISED_LISTENERS: INSIDE://kafka3:9095,OUTSIDE://localhost:9195
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INSIDE:PLAINTEXT,OUTSIDE:PLAINTEXT
      KAFKA_INTER_BROKER_LISTENER_NAME: INSIDE
      KAFKA_ZOOKEEPER_CONNECT: zook1:2181,zook2:2181,zook3:2181
      ALLOW_PLAINTEXT_LISTENER : 'yes'
      JMX_PORT: 9999 #開放JMX監控端口,來監測集群數據
    volumes:
      - /Users/konsy/Development/volume/kafka/kafka3/wurstmeister/kafka:/wurstmeister/kafka
      - /Users/konsy/Development/volume/kafka/kafka3/kafka:/kafka
    external_links:
      - zook1
      - zook2
      - zook3
    networks:
      docker-net:
        ipv4_address: 172.20.10.16
networks:
  docker-net:
    external:
      name: docker-net

2. 執行腳本部署kafka至Docker:

docker compose -f ./kafka-docker-compose.yml up -d

3. listeners 和 advertised.listeners

  • listeners: 學名叫監聽器,其實就是告訴外部連接者要通過什麼協議訪問指定主機名和端口開放的 Kafka 服務。
  • advertised.listeners:和 listeners 相比多瞭個 advertised。Advertised 的含義表示宣稱的、公佈的,就是說這組監聽器是 Broker 用於對外發佈的。

比如說:

   listeners: INSIDE://172.17.0.10:9092,OUTSIDE://172.17.0.10:9094
   advertised_listeners: INSIDE://172.17.0.10:9092,OUTSIDE://<公網 ip>:端口
   kafka_listener_security_protocol_map: "INSIDE:SASL_PLAINTEXT,OUTSIDE:SASL_PLAINTEXT"
   kafka_inter_broker_listener_name: "INSIDE"

advertised_listeners 監聽器會註冊在 zookeeper 中;

當我們對 172.17.0.10:9092 請求建立連接,kafka 服務器會通過 zookeeper 中註冊的監聽器,找到 INSIDE 監聽器,然後通過 listeners 中找到對應的 通訊 ip 和 端口;

同理,當我們對 <公網 ip>:端口 請求建立連接,kafka 服務器會通過 zookeeper 中註冊的監聽器,找到 OUTSIDE 監聽器,然後通過 listeners 中找到對應的 通訊 ip 和 端口 172.17.0.10:9094;

總結:advertised_listeners 是對外暴露的服務端口,真正建立連接用的是 listeners。

4.安裝kafka-manager

4.1 新建文件kafka-manager-docker-compose.yml

version: '2'

services:
  kafka-manager:
    image: scjtqs/kafka-manager:latest
    restart: always
    hostname: kafka-manager
    container_name: kafka-manager
    ports:
      - 9000:9000
    external_links:  # 連接本compose文件以外的container
      - zook1
      - zook2
      - zook3
      - kafka1
      - kafka2
      - kafka3
    environment:
      ZK_HOSTS: zook1:2181,zook2:2181,zook3:2181
      KAFKA_BROKERS: kafka1:9093,kafka2:9094,kafka3:9095
      APPLICATION_SECRET: letmein
      KM_ARGS: -Djava.net.preferIPv4Stack=true
    networks:
      docker-net:
        ipv4_address: 172.20.10.10
networks:
  docker-net:
    external:
      name: docker-net

4.2 執行腳本部署kafka-manager至Docker:

docker compose -f ./kafka-manager-docker-compose.yml up -d

4.3 配置Cluster

5. 測試kafka

5.1連接容器

進入kafka容器的命令行:

docker exec -ti kafka /bin/bash

進入kafka所在目錄:

cd opt/kafka_2.13-2.8.1/

5.2 創建Replication為2,Partition為2的topic

bin/kafka-topics.sh --create --zookeeper zook1:2181 --replication-factor 2 --partitions 2 --topic partopic

5.3 查看topic的狀態

在kafka容器中的 opt/kafka_2.12-1.1.0/ 目錄下輸入

bin/kafka-topics.sh --describe --zookeeper zook1:2181 --topic partopic

到此這篇關於docker搭建kafka集群的方法實現的文章就介紹到這瞭,更多相關docker搭建kafka集群內容請搜索WalkonNet以前的文章或繼續瀏覽下面的相關文章希望大傢以後多多支持WalkonNet!

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