java使用kafka进行内网节点生产信息和公网节点消费消息，使用kafka-eagle监控

最近需要使用消息队列推送实时数据给第三方的公司，但是生产消息的服务节点在内网服务器，kafka也只能部署在另一台有公网ip的公司另一台服务器（不然第三方无法消费），配置信息有点特殊，于是浅显地做了个单节点的demo，我自己使用的是2.4.0的版本,下载地址https://kafka.apache.org/downloads

直接解压就行,tar -xzf kafka_2.11-2.4.0.tgz。
在这里插入图片描述

修改kafka配置信息

修正config下的server.properties下的配置信息，取消listeners和advertised.listeners的注释

listener.security.protocol.map=INTERNAL:PLAINTEXT,EXTERNAL:PLAINTEXT
listeners=INTERNAL://0.0.0.0:9092,EXTERNAL://0.0.0.0:9093
advertised.listeners=INTERNAL://192.168.30.128:9092,EXTERNAL://19.129.30.119:9093
inter.broker.listener.name=INTERNAL

启动kafka,先启动zookeeper;停止的时候需要先停止zookeeper,再停掉kafka,

//启动zookeeper
nohup /soft/kafka_2.11-2.4.0/bin/zookeeper-server-start.sh  /soft/kafka_2.11-2.4.0/config/zookeeper.properties > /soft/kafka_2.11-2.4.0/nohup1.out  2>&1 &

//启动kafka
nohup /soft/kafka_2.11-2.4.0/bin/kafka-server-start.sh  /soft/kafka_2.11-2.4.0/config/server.properties > /soft/kafka_2.11-2.4.0/nohup2.out  2>&1 &

netstat -tunlp | grep 9092,看看有没有对应的进程号，就说明是否启动成功。

生产者，部署在内网环境

首先pom文件引入依赖

<!-- kafka -->
<dependency>
    <groupId>org.apache.kafka</groupId>
    <artifactId>kafka-clients</artifactId>
    <version>2.4.0</version>
</dependency>

定义基本配置信息

import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.common.serialization.StringSerializer;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

import java.util.Properties;

@Configuration
public class KafkaConfig {
    public final static String servers = "192.168.30.128:9092";

    @Bean(destroyMethod = "close")
    public KafkaProducer<String, String> kafkaProducer() {
        Properties properties = new Properties();
        properties.put("bootstrap.servers", servers);
        properties.put("acks", "all");
        properties.put("retries", 0);
        properties.put("batch.size", 16384);
        properties.put("linger.ms", 1);
        properties.put("buffer.memory", 33554432);
        properties.put("key.serializer", StringSerializer.class.getName());
        properties.put("value.serializer", StringSerializer.class.getName());
        return new KafkaProducer<String, String>(properties);
    }
}

然后在需要推送信息的地方，指定主题名去推送消息就行

@Autowired
private KafkaProducer<String, String> kafkaProducer;

kafkaProducer.send(new ProducerRecord<String, String>("topicName",message));

消费者,部署在公网环境

也一样需要引入依赖

<!-- kafka -->
<dependency>
    <groupId>org.apache.kafka</groupId>
    <artifactId>kafka-clients</artifactId>
    <version>2.4.0</version>
</dependency>

定义连接配置信息，消费消息,执行主方法，打印出实时传递过来的消息

import lombok.extern.log4j.Log4j2;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.serialization.StringDeserializer;

import java.util.Arrays;
import java.util.Properties;

@Log4j2
public class KafkaConsumerTest implements Runnable {

    private final KafkaConsumer<String, String> consumer;
    private ConsumerRecords<String, String> msgList;
    private final String topic;
    private static final String GROUPID = "groupB";

    public KafkaConsumerTest(String topicName) {
        Properties props = new Properties();
        //这里填的是kafka服务器的公网ip
        props.put("bootstrap.servers", "19.129.30.119:9093");
        props.put("group.id", GROUPID);
        props.put("enable.auto.commit", "true");
        props.put("auto.commit.interval.ms", "1000");
        props.put("session.timeout.ms", "30000");
        props.put("auto.offset.reset", "earliest");
        props.put("key.deserializer", StringDeserializer.class.getName());
        props.put("value.deserializer", StringDeserializer.class.getName());
        this.consumer = new KafkaConsumer<String, String>(props);
        this.topic = topicName;
        this.consumer.subscribe(Arrays.asList(topic));
    }

    @Override
    public void run() {
        int messageNo = 1;
        log.error("---------开始消费---------");
        try {
            for (;;) {
                msgList = consumer.poll(1000);
                if(null!=msgList&&msgList.count()>0){
                    for (ConsumerRecord<String, String> record : msgList) {

                        log.error(messageNo+"=======成功消费：receive: key = " + record.key() + ", value = " + record.value()+" offset==="+record.offset());

                    }
                }else{
                    Thread.sleep(1000);
                }
            }
        } catch (InterruptedException e) {
            e.printStackTrace();
        } finally {
            consumer.close();
        }
    }

    public static void main(String args[]) {
        KafkaConsumerTest test = new KafkaConsumerTest("cv");
        Thread thread = new Thread(test);
        thread.start();
    }
}

kafka-eagle简单的安装和使用

下载并解压kafka-eagle-bin-2.1.0.tar.gz，需要解压两次，window环境下就能使用

填写config下system-config.properties文件的属性，由于我是单节点启动，需要把cluster2和cluster3的那些信息注释掉，指定cluster1的zookeeper节点信息，还有指定mysql的库的连接信息就行

######################################
# multi zookeeper & kafka cluster list
# Settings prefixed with 'kafka.eagle.' will be deprecated, use 'efak.' instead
######################################
efak.zk.cluster.alias=cluster1
#,cluster2
cluster1.zk.list=192.168.30.128:2181
#,tdn2:2181,tdn3:2181
#cluster2.zk.list=xdn10:2181,xdn11:2181,xdn12:2181

######################################
# zookeeper enable acl
######################################
cluster1.zk.acl.enable=false
cluster1.zk.acl.schema=digest
cluster1.zk.acl.username=test
cluster1.zk.acl.password=test123

######################################
# broker size online list
######################################
cluster1.efak.broker.size=20

######################################
# zk client thread limit
######################################
kafka.zk.limit.size=16

######################################
# EFAK webui port
######################################
efak.webui.port=8048

######################################
# EFAK enable distributed
######################################
efak.distributed.enable=false
efak.cluster.mode.status=master
efak.worknode.master.host=localhost
efak.worknode.port=8085

######################################
# kafka jmx acl and ssl authenticate
######################################
cluster1.efak.jmx.acl=false
cluster1.efak.jmx.user=keadmin
cluster1.efak.jmx.password=keadmin123
cluster1.efak.jmx.ssl=false
cluster1.efak.jmx.truststore.location=/data/ssl/certificates/kafka.truststore
cluster1.efak.jmx.truststore.password=ke123456

######################################
# kafka offset storage
######################################
cluster1.efak.offset.storage=kafka
#cluster2.efak.offset.storage=zk

######################################
# kafka jmx uri
######################################
cluster1.efak.jmx.uri=service:jmx:rmi:///jndi/rmi://%s/jmxrmi

######################################
# kafka metrics, 15 days by default
######################################
efak.metrics.charts=true
efak.metrics.retain=15

######################################
# kafka sql topic records max
######################################
efak.sql.topic.records.max=5000
efak.sql.topic.preview.records.max=10

######################################
# delete kafka topic token
######################################
efak.topic.token=keadmin

######################################
# kafka sasl authenticate
######################################
cluster1.efak.sasl.enable=false
cluster1.efak.sasl.protocol=SASL_PLAINTEXT
cluster1.efak.sasl.mechanism=SCRAM-SHA-256
cluster1.efak.sasl.jaas.config=org.apache.kafka.common.security.scram.ScramLoginModule required username="kafka" password="kafka-eagle";
cluster1.efak.sasl.client.id=
cluster1.efak.blacklist.topics=
cluster1.efak.sasl.cgroup.enable=false
cluster1.efak.sasl.cgroup.topics=
#cluster2.efak.sasl.enable=false
#cluster2.efak.sasl.protocol=SASL_PLAINTEXT
#cluster2.efak.sasl.mechanism=PLAIN
#cluster2.efak.sasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username="kafka" password="kafka-eagle";
#cluster2.efak.sasl.client.id=
#cluster2.efak.blacklist.topics=
#cluster2.efak.sasl.cgroup.enable=false
#cluster2.efak.sasl.cgroup.topics=

######################################
# kafka ssl authenticate
######################################
#cluster3.efak.ssl.enable=false
#cluster3.efak.ssl.protocol=SSL
#cluster3.efak.ssl.truststore.location=
#cluster3.efak.ssl.truststore.password=
#cluster3.efak.ssl.keystore.location=
#cluster3.efak.ssl.keystore.password=
#cluster3.efak.ssl.key.password=
#cluster3.efak.ssl.endpoint.identification.algorithm=https
#cluster3.efak.blacklist.topics=
#cluster3.efak.ssl.cgroup.enable=false
#cluster3.efak.ssl.cgroup.topics=

######################################
# kafka sqlite jdbc driver address
######################################
#efak.driver=org.sqlite.JDBC
#efak.url=jdbc:sqlite:/hadoop/kafka-eagle/db/ke.db
#efak.username=root
#efak.password=www.kafka-eagle.org

######################################
# kafka mysql jdbc driver address
######################################
efak.driver=com.mysql.cj.jdbc.Driver
efak.url=jdbc:mysql://192.168.20.36:3306/kafka-eagle?useUnicode=true&characterEncoding=UTF-8&zeroDateTimeBehavior=convertToNull
efak.username=root
efak.password=aa123456

双击bin下的ke.bat,访问连接地址localhost:8048/account/signin?/，默认账号密码是admin 123456
登录进来后就可以看到主题信息的生产情况和消费情况

原文链接：https://blog.csdn.net/weixin_42667972/article/details/125780937