docker 安装 kafka

臭大佬 2023-03-06 00:01:52 2344
Docker 
简介 docker 安装 kafka

说明

docker hub 去搜一下kafka, 排在第一位的是bitnami/kafka,我们就用它了。

下载 docker-compose.yml

curl -sSL https://raw.githubusercontent.com/bitnami/containers/main/bitnami/kafka/docker-compose.yml > docker-compose.yml

修改 docker-compose.yml ,配置外网访问

version: "2"
services:
  zookeeper:
    image: docker.io/bitnami/zookeeper:3.8
    ports:
      - "2181:2181"
    volumes:
       - "zookeeper_data:/bitnami"
    environment:
      - ALLOW_ANONYMOUS_LOGIN=yes # 匿名登录
  kafka:
    image: docker.io/bitnami/kafka:3.4
    ports: #记得在防火墙开放端口
      - "9092:9092"
      - "9093:9093"
    volumes:
      - "kafka_data:/bitnami"
    environment:
      - KAFKA_CFG_ZOOKEEPER_CONNECT=zookeeper:2181
      - ALLOW_PLAINTEXT_LISTENER=yes # 配置监听者的安全协议
      - KAFKA_CFG_LISTENER_SECURITY_PROTOCOL_MAP=CLIENT:PLAINTEXT,EXTERNAL:PLAINTEXT # 定义Kafka Broker的Listener的配置项,配置外部访问和内部访问
      - KAFKA_CFG_LISTENERS=CLIENT://:9092,EXTERNAL://0.0.0.0:9093 # 将Broker的Listener信息发布到Zookeeper中,供Clients(Producer/Consumer)使用
      - KAFKA_CFG_ADVERTISED_LISTENERS=CLIENT://kafka:9092,EXTERNAL://dev.wsl.net:9093 # dev.wsl.net 换成自己的ip
      - KAFKA_CFG_INTER_BROKER_LISTENER_NAME=CLIENT
    depends_on:
      - zookeeper
volumes:
  zookeeper_data:
    driver: local
  kafka_data:
    driver: local

运行

docker-compose up -d

可视化 kafka-map

kafka-map 介绍

记得开放端口9090

docker run -d  -p 9090:8080   -v /www/wwwroot/kafka/kafka-map/data:/usr/local/kafka-map/data     -e DEFAULT_USERNAME=admin     -e DEFAULT_PASSWORD=admin  --name kafka-map   --restart always dushixiang/kafka-map:latest

go中简单使用

Go语言中连接kafka使用第三方库: github.com/Shopify/sarama。
获取go get github.com/Shopify/sarama

发送数据

package main

import (
    "fmt"
    "github.com/Shopify/sarama"
)

var topicTitle = "wsl-topic"

func main() {
    //kafka配置项
    config := sarama.NewConfig()
    config.Producer.RequiredAcks = sarama.WaitForAll          // 发送完数据需要leader和follow都确认
    config.Producer.Partitioner = sarama.NewRandomPartitioner // 新选出一个partition
    config.Producer.Return.Successes = true                   // 成功交付的消息将在success channel返回

    // 连接kafka
    client, err := sarama.NewSyncProducer([]string{"dev.wsl.net:9093"}, config)
    if err != nil {
        fmt.Println("producer closed, err:", err)
        return
    }

    // 构造消息
    msg := &sarama.ProducerMessage{}
    msg.Topic = topicTitle
    msg.Value = sarama.StringEncoder("这是一条测试数据")
    defer client.Close()

    // 发送消息
    pid, offset, err := client.SendMessage(msg)
    if err != nil {
        fmt.Println("发送失败, err:", err)
        return
    }
    fmt.Printf("pid:%v offset:%v\n", pid, offset)
}

消费数据

package main

import (
    "fmt"

    "github.com/Shopify/sarama"
)

var topicTitle = "wsl-topic"

func main() {
// 配置Kafka消费者
    config := sarama.NewConfig()
    config.Consumer.Return.Errors = true
    consumer, err := sarama.NewConsumer([]string{"dev.wsl.net:9093"}, config)
    if err != nil {
        panic(err)
    }
    partitionList, err := consumer.Partitions(topicTitle) // 根据topic取到所有的分区
    if err != nil {
        fmt.Printf("fail to get list of partition:err%v\n", err)
        return
    }
    fmt.Println("分区列表")
    fmt.Println(partitionList)
    for partition := range partitionList { // 遍历所有的分区
        // 针对每个分区创建一个对应的分区消费者
        pc, err := consumer.ConsumePartition(topicTitle, int32(partition), sarama.OffsetNewest)
        if err != nil {
            fmt.Printf("failed to start consumer for partition %d,err:%v\n", partition, err)
            return
        }
        go func(sarama.PartitionConsumer) {
            defer pc.AsyncClose()
            select {
            case msg := <-pc.Messages():
                fmt.Printf("Partition:%d Offset:%d Key:%v Value:%v \n", msg.Partition, msg.Offset, string(msg.Key), string(msg.Value))
            case err := <-pc.Errors():
                fmt.Printf("Error: %v\n", err)
            }
        }(pc)
    }
}