Kafka之Docker部署Kafka kraft集群

最近趁着有空想复习一下Kafka原理,之前学的是Kafka1.9的版本,需要Zookeeper作为基础,专门存放Kafka的元数据使用,如Broker、Consumer、Topic等;但下载的时候发现Kafka已经升级到3.3的版本,真是时光飞逝,岁月荏苒呀,更新速度太快了!不过话又说回来,程序猿不就是活到老学到老嘛,啥也不说了,开干!顺嘴提一句,3.1以后的版本可以不用Zookeeper支持,Kafka自己支持了,这样可以减少资源占用,也可以在没有必要的情况下不用单独安装Zookeeper!

docker-compose部署Kafka kraft集群

环境配置

程序猿,你懂得,阿里服务器,CPU 1核, 内存2G

1. 服务器环境

[root@Genterator ~]# cat /proc/cpuinfo | grep name | cut -f2 -d: | uniq -c
      1  Intel(R) Xeon(R) Platinum 8269CY CPU @ 2.50GHz
      
[root@Genterator ~]# cat /proc/meminfo | grep MemTotal
MemTotal:        1790344 kB

[root@Genterator ~]# free -h
              total        used        free      shared  buff/cache   available
Mem:          1.7Gi       1.4Gi       134Mi       0.0Ki       212Mi       204Mi
Swap:         2.5Gi       114Mi       2.4Gi

kafka每个broker的内存默认为1G,对于咱们这种屌丝程序猿只能用硬盘充当内存使用了!此处使用了Linux的交换分区,==当虚拟机内存不足时, 把一部分不用的硬盘空间虚拟成内存使用,从而解决内存不足问题。==虽然性能不及内存,但好在还能凑合使用,学习、测试完全ok!

2. Docker-compose

[root@Genterator ~]# docker-compose -v
docker-compose version 1.27.4, build 40524192

3. Kafka

Kafka使用最新版,在复习的过程中顺便体验一下新版的性能与特色,重申一遍:新版不在需要ZK的支持!
Kafka之Docker部署Kafka kraft集群_第1张图片
由于Kafka官方并未提供docker镜像,此处使用的是Docker Hub中的bitnami/kafka,使用人数较多,估计坑也踩得差不多了,算比较安全稳定点的

执行文件

1. compose-docker.yml

不说废话,直接上配置文件

version: "3.6"
services:
  kafka1:
    container_name: kafka1
    image: 'bitnami/kafka:3.3.1'
    user: root
    ports:
      - '19092:9092'
      - '19093:9093'
    environment:
      # 允许使用Kraft
      - KAFKA_ENABLE_KRAFT=yes
      - KAFKA_CFG_PROCESS_ROLES=broker,controller
      - KAFKA_CFG_CONTROLLER_LISTENER_NAMES=CONTROLLER
      # 定义kafka服务端socket监听端口(Docker内部的ip地址和端口)
      - KAFKA_CFG_LISTENERS=PLAINTEXT://:9092,CONTROLLER://:9093
      # 定义安全协议
      - KAFKA_CFG_LISTENER_SECURITY_PROTOCOL_MAP=CONTROLLER:PLAINTEXT,PLAINTEXT:PLAINTEXT
      #定义外网访问地址(宿主机ip地址和端口)
      - KAFKA_CFG_ADVERTISED_LISTENERS=PLAINTEXT://11.21.13.15:19092
      - KAFKA_BROKER_ID=1
      - KAFKA_KRAFT_CLUSTER_ID=iZWRiSqjZAlYwlKEqHFQWI
      - [email protected]:9093,[email protected]:9093,[email protected]:9093
      - ALLOW_PLAINTEXT_LISTENER=yes
      # 设置broker最大内存,和初始内存
      - KAFKA_HEAP_OPTS=-Xmx512M -Xms256M
    volumes:
      - /opt/volume/kafka/broker01:/bitnami/kafka:rw
    networks:
      netkafka:
        ipv4_address: 172.23.0.11
  kafka2:
    container_name: kafka2
    image: 'bitnami/kafka:3.3.1'
    user: root
    ports:
      - '29092:9092'
      - '29093:9093'
    environment:
      - KAFKA_ENABLE_KRAFT=yes
      - KAFKA_CFG_PROCESS_ROLES=broker,controller
      - KAFKA_CFG_CONTROLLER_LISTENER_NAMES=CONTROLLER
      - KAFKA_CFG_LISTENERS=PLAINTEXT://:9092,CONTROLLER://:9093
      - KAFKA_CFG_LISTENER_SECURITY_PROTOCOL_MAP=CONTROLLER:PLAINTEXT,PLAINTEXT:PLAINTEXT
      - KAFKA_CFG_ADVERTISED_LISTENERS=PLAINTEXT://11.21.13.15:29092  #修改宿主机ip
      - KAFKA_BROKER_ID=2
      - KAFKA_KRAFT_CLUSTER_ID=iZWRiSqjZAlYwlKEqHFQWI #哪一,三个节点保持一致
      - [email protected]:9093,[email protected]:9093,[email protected]:9093
      - ALLOW_PLAINTEXT_LISTENER=yes
      - KAFKA_HEAP_OPTS=-Xmx512M -Xms256M
    volumes:
      - /opt/volume/kafka/broker02:/bitnami/kafka:rw
    networks:
      netkafka:
        ipv4_address: 172.23.0.12
  kafka3:
    container_name: kafka3
    image: 'bitnami/kafka:3.3.1'
    user: root
    ports:
      - '39092:9092'
      - '39093:9093'
    environment:
      - KAFKA_ENABLE_KRAFT=yes
      - KAFKA_CFG_PROCESS_ROLES=broker,controller
      - KAFKA_CFG_CONTROLLER_LISTENER_NAMES=CONTROLLER
      - KAFKA_CFG_LISTENERS=PLAINTEXT://:9092,CONTROLLER://:9093
      - KAFKA_CFG_LISTENER_SECURITY_PROTOCOL_MAP=CONTROLLER:PLAINTEXT,PLAINTEXT:PLAINTEXT
      - KAFKA_CFG_ADVERTISED_LISTENERS=PLAINTEXT://11.21.13.15:39092  #修改宿主机ip
      - KAFKA_BROKER_ID=3
      - KAFKA_KRAFT_CLUSTER_ID=iZWRiSqjZAlYwlKEqHFQWI
      - [email protected]:9093,[email protected]:9093,[email protected]:9093
      - ALLOW_PLAINTEXT_LISTENER=yes
      - KAFKA_HEAP_OPTS=-Xmx512M -Xms256M
    volumes:
      - /opt/volume/kafka/broker03:/bitnami/kafka:rw
    networks:
      netkafka:
        ipv4_address: 172.23.0.13
networks:
  name:
  netkafka:
    driver: bridge
    name: netkafka
    ipam:
      driver: default
      config:
        - subnet: 172.23.0.0/25
          gateway: 172.23.0.1

注:其中11.21.13.15的ip为我乱写的,代表我阿里云服务器的ip地址,如有雷同,纯属巧合!

2. 执行命令

[root@Genterator ~]# docker-compose up -d
kafka1...done
kafka2...done
kafka3...done

检查kafka运行是否正常

[root@Genterator ~]# docker ps
CONTAINER ID        IMAGE                 COMMAND                  CREATED             STATUS              PORTS                                              NAMES
606a05866b2a        bitnami/kafka:3.3.1   "/opt/bitnami/script…"   5 hours ago         Up 5 hours          0.0.0.0:39092->9092/tcp, 0.0.0.0:39093->9093/tcp   kafka3
57f0ff2fb97d        bitnami/kafka:3.3.1   "/opt/bitnami/script…"   5 hours ago         Up 5 hours          0.0.0.0:19092->9092/tcp, 0.0.0.0:19093->9093/tcp   kafka1
98a8b542a8bb        bitnami/kafka:3.3.1   "/opt/bitnami/script…"   5 hours ago         Up 5 hours          0.0.0.0:29092->9092/tcp, 0.0.0.0:29093->9093/tcp   kafka2

测试

选择一个kafka节点进入到容器中,找到对应的安装kafka路径/opt/bitnami/kafka

[root@Genterator ~]# docker exec -it kafka1 /bin/bash
root@57f0ff2fb97d:cd /opt/bitnami/kafka
LICENSE  NOTICE  bin  config  libs  licenses  logs  site-docs
root@57f0ff2fb97d:/opt/bitnami/kafka# cd bin

1. 创建Topic

# 创建一个副本为3、分区为5的topic
root@57f0ff2fb97d:/opt/bitnami/kafka/bin# ./kafka-topics.sh --create --topic foo --partitions 5 --replication-factor 3 --bootstrap-server kafka1:9092,kafka2:9092,kafka3:9092
Created topic foo.
# 查看topic详细信息
root@57f0ff2fb97d:/opt/bitnami/kafka/bin# kafka-topics.sh --describe --topic foo --bootstrap-server kafka1:9092, kafka2:9092, kafka3:9092
Topic: foo      TopicId: 83kWG4PUT9u4fOzG5WgFoA PartitionCount: 5       ReplicationFactor: 3    Configs:
        Topic: foo      Partition: 0    Leader: 3       Replicas: 3,1,2 Isr: 3,1,2
        Topic: foo      Partition: 1    Leader: 1       Replicas: 1,2,3 Isr: 1,2,3
        Topic: foo      Partition: 2    Leader: 2       Replicas: 2,3,1 Isr: 2,3,1
        Topic: foo      Partition: 3    Leader: 3       Replicas: 3,2,1 Isr: 3,2,1
        Topic: foo      Partition: 4    Leader: 2       Replicas: 2,1,3 Isr: 2,1,3

在图形化界面中可以看到:
Kafka之Docker部署Kafka kraft集群_第2张图片

2. 生产和消费

此时我在kafka1上进行生产,kafka2kafka3将进行消费

kafka1生产
root@57f0ff2fb97d:/opt/bitnami/kafka/bin# kafka-console-producer.sh --broker-list 172.23.0.11:9092,172.23.0.12:9092,172.23.0.13:9092 --topic foo
>Hello
>Kafka
kafka2和kafka3消费
root@57f0ff2fb97d:/opt/bitnami/kafka/bin# kafka-console-consumer.sh --bootstrap-server 172.23.0.11:9092,172.23.0.12:9092,172.23.0.13:9092 --topic foo

3. 删除Topic

root@57f0ff2fb97d:/opt/bitnami/kafka/bin# kafka-topics.sh --delete --topic foo --bootstrap-server kafka1:9092,kafka2:9092,kafka3:9092

你可能感兴趣的:(Kafka从入门到放弃,kafka,docker)