Kafka

如何使用Docker Compose部署Kafka

info

借鉴github仓库
下面示例使用最简单的 zk-single-kafka-single.yml

以下为正确示例：

对仓库中的文件作了两处调整

调整了连接地址

-  KAFKA_ADVERTISED_LISTENERS: INTERNAL://kafka1:19092,EXTERNAL://${DOCKER_HOST_IP:-127.0.0.1}:9092,DOCKER://host.docker.internal:29092
+  KAFKA_ADVERTISED_LISTENERS: INTERNAL://kafka1:19092,EXTERNAL://${DOCKER_HOST_IP:-192.168.3.163}:9092,DOCKER://host.docker.internal:29092

在Zoo1和kafka1中都添加了时区，可以解决时间不对的问题

+      TZ: Asia/Shanghai

点击展开查看完整配置文件

version: '2.1'

services:
  zoo1:
    image: confluentinc/cp-zookeeper:7.3.2
    hostname: zoo1
    container_name: zoo1
    ports:
      - "2181:2181"
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_SERVER_ID: 1
      ZOOKEEPER_SERVERS: zoo1:2888:3888
      TZ: Asia/Shanghai

  kafka1:
    image: confluentinc/cp-kafka:7.3.2
    hostname: kafka1
    container_name: kafka1
    ports:
      - "9092:9092"
      - "29092:29092"
      - "9999:9999"
    environment:
      KAFKA_ADVERTISED_LISTENERS: INTERNAL://kafka1:19092,EXTERNAL://${DOCKER_HOST_IP:-192.168.3.163}:9092,DOCKER://host.docker.internal:29092
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INTERNAL:PLAINTEXT,EXTERNAL:PLAINTEXT,DOCKER:PLAINTEXT
      KAFKA_INTER_BROKER_LISTENER_NAME: INTERNAL
      KAFKA_ZOOKEEPER_CONNECT: "zoo1:2181"
      KAFKA_BROKER_ID: 1
      KAFKA_LOG4J_LOGGERS: "kafka.controller=INFO,kafka.producer.async.DefaultEventHandler=INFO,state.change.logger=INFO"
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1
      KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1
      KAFKA_JMX_PORT: 9999
      KAFKA_JMX_HOSTNAME: ${DOCKER_HOST_IP:-127.0.0.1}
      KAFKA_AUTHORIZER_CLASS_NAME: kafka.security.authorizer.AclAuthorizer
      KAFKA_ALLOW_EVERYONE_IF_NO_ACL_FOUND: "true"
      TZ: Asia/Shanghai
    depends_on:
      - zoo1

报错 could not be established. Broker may not be available

调整外部连接地址即可解决问题

[| adminclient-1] org.apache.kafka.clients.NetworkClient : [AdminClient clientId=adminclient-1] 
Connection to node 1 (/127.0.0.1:9092) could not be established. Broker may not be available.

如何使用命令行操作集群

# 创建topic
docker run --rm --network=host \
           confluentinc/cp-kafka:7.3.2 \
           kafka-topics --bootstrap-server=127.0.0.1:9092 \
                        --create \
                        --topic=my-topic \
                        --partitions=3 \
                        --replication-factor=1
# 生产消息
docker run --tty --interactive \
           --rm \
           --network=host \
           confluentinc/cp-kafka:7.3.2 \
           kafka-console-producer --broker-list=127.0.0.1:9092 --topic=my-topic
           
# 消费消息  
docker run --tty --interactive \
           --rm \
           --network=host \
           confluentinc/cp-kafka:7.3.2 \
           kafka-console-consumer --bootstrap-server=127.0.0.1:9092 --topic=my-topic
		   

如何在Spring Boot中使用Kafka

参考资料

参考仓库代码

仓库代码简单介绍了 Kafka创建字符串消息和Pojo消息，发送消息的示例。

参考资料涉及多种类型消息混合生产和消费。值得学习和借鉴。

生产者使用注意点

一个JVM下使用一个生产者即可，多个生产者可能OOM，一个生产者buffer.memory=32MB 。
Batch设计，首先看batch.size 是否满足，不满足再看linger.ms ,当缓存消息到达buffer.memory 会直接触发消息发送到服务器。
acks, 0 -不确认，1-所有主节点写入成功，all-所有节点写入成功

触发Coordinator Rebalance

组成员数量变化
订阅主题数量变化
订阅主题分区数变化

建议

session.timeout.ms > 3 * hearbeat.interval.ms
控制消费者消费消息的时间，不要超过max.poll.interval.ms配置时间

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如何使用Docker Compose部署Kafka​

报错 could not be established. Broker may not be available​

如何使用命令行操作集群​

如何在Spring Boot中使用Kafka​

生产者使用注意点​

触发Coordinator Rebalance​