docker-compose部署kafka、SASL模式(密码校验模式)

一.基础kafka部署

zookeeper，kafka，kafka-ui

docker-compose.yml

注意点：192.168.1.20 是宿主机的ip

version: "3"
services:
  zookeeper:
    image: wurstmeister/zookeeper
    container_name: zookeeper
    restart: always
    ports:
      - 2181:2181
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
  kafka:
    image: wurstmeister/kafka
    restart: always
    container_name: kafka
    depends_on:
      - zookeeper
    ports:
      - 9092:9092
    environment:
      KAFKA_BROKER_ID: 0
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.1.20:9092
      KAFKA_ADVERTISED_PORT: 9092
      KAFKA_LISTENERS: PLAINTEXT://0.0.0.0:9092
      KAFKA_PORT: 9092 
      KAFKA_ALLOW_EVERYONE_IF_NO_ACL_FOUND: "false"
      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 0
      KAFKA_HEAP_OPTS: "-Xmx512M -Xmx512M"
  kafka-ui:
    image: provectuslabs/kafka-ui:latest
    container_name: kafka-ui
    restart: always
    ports:
        - 10010:8080
    environment:
        - DYNAMIC_CONFIG_ENABLED=true
        - SERVER_SERVLET_CONTEXT_PATH=/ui-kafka
        - KAFKA_CLUSTERS_0_NAME=local
        - KAFKA_CLUSTERS_0_BOOTSTRAPSERVERS=kafka:9092
        - KAFKA_CLUSTERS_0_PROPERTIES_SECURITY_PROTOCOL=PLAINTEXT
    depends_on:
      - zookeeper
      - kafka

kafka-ui

地址：http://localhost:10010/ui-kafka/

java生产者

        <dependency>
            <groupId>org.springframework.kafka</groupId>
            <artifactId>spring-kafka</artifactId>
            <version>2.9.0</version>
        </dependency>


import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.common.serialization.StringSerializer;

import java.util.Properties;

public class KafkaProducerTest {

    public static void main(String[] args) {

        Properties properties = new Properties();
 

 
        properties.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "127.0.0.1:9092");
  
        //    KEY: 是kafka用于做消息投递计算具体投递到对应的主题的哪一个partition而需要的
        properties.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
        //    VALUE: 实际发送消息的内容
        properties.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());

        //    2.创建kafka生产者对象 传递properties属性参数集合
        KafkaProducer<String, String> producer = new KafkaProducer<>(properties);

        for (int i = 0; i < 100; i++) {
            ProducerRecord<String, String> record = new ProducerRecord<String, String>("topic_test", i + " : testx123测试");
            //    4.发送消息
            producer.send(record);
            System.out.println("发送成功： " + i);
        }
        //    5.关闭生产者
        producer.close();

    }
}

java消费者

public class KafkaConsumerTest {

    public static void main(String[] args) {

        Properties props = new Properties();
        // bootstrap.servers：kafka服务器地址，多个用逗号隔开
        props.put("bootstrap.servers", "127.0.0.1:9092");
        props.put("group.id", "topic-test-group"); // 消费组groupId
        props.put("auto.offset.reset", "earliest");
        // 序列化方式
        props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");

        KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);

        consumer.subscribe(Collections.singletonList("topic_test")); // 订阅的topic
        while (true) {
            ConsumerRecords<String, String> records = consumer.poll(Duration.ofMillis(1000L));
            for (ConsumerRecord<String, String> record : records) {
                System.out.printf("主题 = %s, 分区 = %d, 位移 = %d, " + "消息键 = %s, 消息值 = %s\n",
                        record.topic(), record.partition(), record.offset(), record.key(), record.value());
            }
            if (!records.isEmpty()) {
                try {
                    // 提交消费位移
                    consumer.commitSync();
                } catch (CommitFailedException exception) {
                    System.out.println("commit failed....");
                }
            }

        }
    }
}

二.SASL模式部署kafka

解释： SASL（Simple Authentication and Security Layer）的配置

目录结构如下：C:/docker/kafka1/

server_jaas.conf配置

需要新建文件：server_jaas.conf，前两个是zk配置，后两个是kafka配置

Client {
    org.apache.zookeeper.server.auth.DigestLoginModule required
    username="admin"
    password="123456";
};

Server {
    org.apache.zookeeper.server.auth.DigestLoginModule required
    username="admin"
    password="123456"
    user_super="123456"
    user_admin="123456";
};

KafkaServer {
    org.apache.kafka.common.security.plain.PlainLoginModule required
    username="admin"
    password="123456"  
    user_admin="123456";
};

KafkaClient {
    org.apache.kafka.common.security.plain.PlainLoginModule required
    username="admin"
    password="123456";
};

zoo.cfg配置

其他的没改变，就是最后添加的四行

# The number of milliseconds of each tick
tickTime=2000
# The number of ticks that the initial 
# synchronization phase can take
initLimit=10
# The number of ticks that can pass between 
# sending a request and getting an acknowledgement
syncLimit=5
# the directory where the snapshot is stored.
# do not use /tmp for storage, /tmp here is just 
# example sakes.
dataDir=/opt/zookeeper-3.4.13/data
# the port at which the clients will connect
clientPort=2181
# the maximum number of client connections.
# increase this if you need to handle more clients
#maxClientCnxns=60
#
# Be sure to read the maintenance section of the 
# administrator guide before turning on autopurge.
#
# http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance
#
# The number of snapshots to retain in dataDir
autopurge.snapRetainCount=3
# Purge task interval in hours
# Set to "0" to disable auto purge feature
autopurge.purgeInterval=1

## 开启SASl关键配置
authProvider.1=org.apache.zookeeper.server.auth.SASLAuthenticationProvider
requireClientAuthScheme=sasl
jaasLoginRenew=3600000
zookeeper.sasl.client=true

docker-compose.yml

# 版本根据你的docker版本来的，目前主流应该都是3.几的版本
version: '3.8'
services:
  zookeeper:
    image: wurstmeister/zookeeper
    volumes:
      - C:/docker/kafka1/secrets/:/opt/secrets/
      - C:/docker/kafka1/zookeeper/zoo.cfg:/opt/zookeeper-3.4.13/conf/zoo.cfg
    container_name: zookeeper
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_TICK_TIME: 2000
      SERVER_JVMFLAGS: -Djava.security.auth.login.config=/opt/secrets/server_jaas.conf
    ports:
      - 2181:2181
    restart: always
  kafka:
    image: wurstmeister/kafka
    container_name: kafka
    depends_on:
      - zookeeper
    ports: 
      - 9092:9092
    volumes:
      - C:/docker/kafka1/secrets/:/opt/secrets/
    environment:
      KAFKA_BROKER_ID: 0
      KAFKA_ADVERTISED_LISTENERS: SASL_PLAINTEXT://192.168.1.20:9092
      KAFKA_ADVERTISED_PORT: 9092 
      KAFKA_LISTENERS: SASL_PLAINTEXT://0.0.0.0:9092
      KAFKA_SECURITY_INTER_BROKER_PROTOCOL: SASL_PLAINTEXT
      KAFKA_PORT: 9092 
      KAFKA_SASL_MECHANISM_INTER_BROKER_PROTOCOL: PLAIN
      KAFKA_SASL_ENABLED_MECHANISMS: PLAIN
      KAFKA_AUTHORIZER_CLASS_NAME: kafka.security.auth.SimpleAclAuthorizer
      KAFKA_SUPER_USERS: User:admin
      KAFKA_ALLOW_EVERYONE_IF_NO_ACL_FOUND: "true" #设置为true，ACL机制为黑名单机制，只有黑名单中的用户无法访问，默认为false，ACL机制为白名单机制，只有白名单中的用户可以访问
      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
      KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 0
      KAFKA_HEAP_OPTS: "-Xmx512M -Xms16M"
      KAFKA_OPTS: -Djava.security.auth.login.config=/opt/secrets/server_jaas.conf
  kafka-ui:
    image: provectuslabs/kafka-ui:latest
    container_name: kafka-ui
    restart: always
    ports:
        - 10010:8080
    environment:
        - DYNAMIC_CONFIG_ENABLED=true
        - SERVER_SERVLET_CONTEXT_PATH=/kafka-ui
        - KAFKA_CLUSTERS_0_NAME=local
        - KAFKA_CLUSTERS_0_BOOTSTRAPSERVERS=kafka:9092
        - KAFKA_CLUSTERS_0_PROPERTIES_SECURITY_PROTOCOL=SASL_PLAINTEXT
        - KAFKA_CLUSTERS_0_PROPERTIES_SASL_MECHANISM=PLAIN
        - KAFKA_CLUSTERS_0_PROPERTIES_SASL_JAAS_CONFIG=org.apache.kafka.common.security.scram.ScramLoginModule required username="admin" password="123456";
    depends_on:
      - zookeeper
      - kafka

这是一个Docker Compose文件，用于定义和运行多个Docker容器的应用。我会为你详细解释这个文件的内容：

版本:- version: '3.8': 指定了Docker Compose的版本为3.8。
services:- 定义了两个服务，分别是zookeeper和kafka。
zookeeper:- 使用wurstmeister/zookeeper镜像来创建容器。- 挂载了两个卷：一个是本地的C:/docker/kafka1/secrets/目录到容器内的/opt/secrets/目录，另一个是本地的C:/docker/kafka1/zookeeper/zoo.cfg文件到容器内的/opt/zookeeper-3.4.13/conf/zoo.cfg文件。- 设置容器的名称为zookeeper。- 设置环境变量：如ZOOKEEPER_CLIENT_PORT, ZOOKEEPER_TICK_TIME, SERVER_JVMFLAGS等。- 映射容器的2181端口到主机的2181端口。- 设置容器在退出后总是重启。
kafka:- 使用wurstmeister/kafka镜像来创建容器。- 容器名称为kafka。- 这个服务依赖于zookeeper服务，这意味着它会等待zookeeper服务启动后再启动。- 映射容器的9092端口到主机的9092端口。- 挂载了与zookeeper相同的卷。- 设置环境变量，包括Kafka的配置如：广告监听器、端口、安全协议、SASL机制等。还定义了Kafka的超级用户为“admin”。- 设置Kafka的存储和堆大小。
总体解释: 这是一个使用Docker Compose配置Kafka和Zookeeper集群的示例。Zookeeper作为Kafka的协调服务，负责管理集群的状态和配置。这个配置文件中，Zookeeper和Kafka都有详细的配置和环境变量设置，以适应特定的使用场景或安全需求。例如，SASL_PLAINTEXT是用于安全认证的协议，而SimpleAclAuthorizer则是一个简单的访问控制列表作者器，用于权限控制。

这是一个Docker Compose配置文件的一部分，用于设置Kafka UI服务。Kafka UI是一个用于管理和监视Apache Kafka集群的工具。以下是对该配置的详细解释：

image:- 使用provectuslabs/kafka-ui:latest镜像来创建容器。这个镜像是专门为Kafka UI提供的，并保持最新。
container_name:- 容器的名称为kafka-ui。
restart:- 设置容器的重启策略为always，这意味着容器将始终在退出后自动重启。
ports:- 将容器的8080端口映射到主机的10010端口，这样你就可以从主机访问Kafka UI。
environment:- 这些是传递给容器的环境变量。它们用于配置Kafka UI的各种设置。 - DYNAMIC_CONFIG_ENABLED=true: 启用动态配置。- SERVER_SERVLET_CONTEXT_PATH=/kafka-ui: 设置服务器的Servlet上下文路径。- KAFKA_CLUSTERS_0_NAME=local: 第一个Kafka集群的名称为“local”。- KAFKA_CLUSTERS_0_BOOTSTRAPSERVERS=kafka:9092: 第一个Kafka集群的引导服务器地址是kafka:9092。- KAFKA_CLUSTERS_0_PROPERTIES_SECURITY_PROTOCOL=SASL_PLAINTEXT: 安全协议设置为SASL_PLAINTEXT。- KAFKA_CLUSTERS_0_PROPERTIES_SASL_MECHANISM=PLAIN: SASL机制设置为PLAIN。- KAFKA_CLUSTERS_0_PROPERTIES_SASL_JAAS_CONFIG=...: SASL JAAS配置，其中定义了用户名和密码。
depends_on:- 这部分指定了该服务所依赖的其他服务。在这里，它依赖于zookeeper和kafka服务，这意味着Kafka UI服务将在这些服务启动后启动。

总之，这个配置是用于设置Kafka UI服务的Docker容器，该服务依赖于Zookeeper和Kafka集群，并使用特定的环境变量进行配置。

kafka-ui测试

http://localhost:10010/kafka-ui

java生产者

 

public class KafkaProducerTest {

    public static void main(String[] args) {

        String user = "admin";
        String password = "123456";
        String topic = "test-topic";

        Properties properties = new Properties();
        //    1.配置生产者启动的关键属性参数

        properties.put("group.id", "test_group");

 
        properties.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "127.0.0.1:9092");
  
        properties.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
        //    VALUE: 实际发送消息的内容
        properties.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());

        // ssl加密和认证
        properties.put("security.protocol", "SASL_PLAINTEXT");
        properties.put("sasl.mechanism", "PLAIN");
        properties.put("sasl.jaas.config",
                "org.apache.kafka.common.security.scram.ScramLoginModule "
                        + "required username=\"" + user + "\" password=\"" + password + "\";");
        //    2.创建kafka生产者对象 传递properties属性参数集合
        KafkaProducer<String, String> producer = new KafkaProducer<>(properties);

        for (int i = 0; i < 1000; i++) {
            //    3.构造消息内容
            try {
                Thread.sleep(500);
            } catch (InterruptedException e) {
                throw new RuntimeException(e);
            }

            ProducerRecord<String, String> record = new ProducerRecord<String, String>("H0162", i + " : testxiaoxixixiix接口连接123");

            //    4.发送消息
            producer.send(record);
            System.out.println("发送成功： " + i);
        }

        //    5.关闭生产者
        producer.close();

    }
}

java消费者

 
public class KafkaConsumerTest {

    public static void main(String[] args) {
        String user = "admin";
        String password = "123456";
        String topic = "test-topic";

        Properties props = new Properties();
        // bootstrap.servers：kafka服务器地址，见中间服务平台”机构授权“功能操作说明 36.137.123.54:9092为示例地址
        props.put("bootstrap.servers", "127.0.0.1:9092");
        props.put("group.id", topic);
        props.put("auto.offset.reset", "earliest");
        // 序列化方式
        props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        // ssl加密和认证
        props.put("security.protocol", "SASL_PLAINTEXT");
        props.put("sasl.mechanism", "PLAIN");
        props.put("sasl.jaas.config",
                "org.apache.kafka.common.security.scram.ScramLoginModule "
                        + "required username=\"" + user + "\" password=\"" + password + "\";");

        KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);

        consumer.subscribe(Collections.singletonList(topic));
        while (true) {
            ConsumerRecords<String, String> records = consumer.poll(Duration.ofMillis(1000L));
            for (ConsumerRecord<String, String> record : records) {
                System.out.printf("主题 = %s, 分区 = %d, 位移 = %d, " + "消息键 = %s, 消息值 = %s\n",
                        record.topic(), record.partition(), record.offset(), record.key(), record.value());
            }
            if (!records.isEmpty()) {
                try {
                    // 提交消费位移
                    consumer.commitSync();
                } catch (CommitFailedException exception) {
                    System.out.println("commit failed....");
                }
            }

        }
    }
}

标签： docker kafka 容器

本文转载自: https://blog.csdn.net/xixiyuguang/article/details/135518162
版权归原作者 于光yuguang 所有，如有侵权，请联系我们删除。

docker-compose部署kafka、SASL模式(密码校验模式)

一.基础kafka部署

docker-compose.yml

kafka-ui

java生产者

java消费者

二.SASL模式部署kafka

server_jaas.conf配置

zoo.cfg配置

docker-compose.yml

kafka-ui测试

java生产者

java消费者

发表评论

“docker-compose部署kafka、SASL模式(密码校验模式)”的评论:

关于作者

overfit同步小助手

相关阅读

文章导航