【Kafka】Windows环境配置测试

一、配置

1、Java配置：JAVA_HOME路径不要有空格

2、下载/kafka_2.11-1.1.0，地址是https://www.apache.org/dyn/closer.cgi?path=/kafka/1.1.0/kafka_2.11-1.1.0.tgz，并解压缩至C:\1000_Study\3000_Java\kafka_2.11-1.1.0

3、配置kafka的path环境

二、命令行测试

cd C:\1000_Study\3000_Java\kafka_2.11-1.1.0

bin\windows\zookeeper-server-start.bat config\zookeeper.properties

bin\windows\kafka-server-start.bat config\server.properties

bin\windows\kafka-topics.bat --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test

bin\windows\kafka-topics.bat --list --zookeeper localhost:2181

bin\windows\kafka-console-producer.bat --broker-list localhost:9092 --topic demo

bin\windows\kafka-console-consumer.bat --bootstrap-server localhost:9092 --topic demo --from-beginning

三、开发环境

1、topic创建

package kafkatest;
 
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.Properties;
import java.util.concurrent.ExecutionException;
 
import org.apache.kafka.clients.admin.AdminClient;
import org.apache.kafka.clients.admin.CreateTopicsResult;
import org.apache.kafka.clients.admin.NewTopic;
import org.apache.kafka.clients.consumer.ConsumerRebalanceListener;
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.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.common.TopicPartition;
 
public class createtopic {
 
    public static void main(String[] args) {
        //创建topic
        Properties props = new Properties();
        props.put("bootstrap.servers", "localhost:9092");
        AdminClient adminClient = AdminClient.create(props);
        ArrayList<NewTopic> topics = new ArrayList<NewTopic>();
        NewTopic newTopic = new NewTopic("demo", 1, (short) 1);
        topics.add(newTopic);
        CreateTopicsResult result = adminClient.createTopics(topics);
        try {
            result.all().get();
        } catch (InterruptedException e) {
            e.printStackTrace();
        } catch (ExecutionException e) {
            e.printStackTrace();
        }
    }
 
}

2、消息生产

package kafkatest;

import java.util.ArrayList;
import java.util.Properties;
import java.util.concurrent.ExecutionException;

import org.apache.kafka.clients.admin.AdminClient;
import org.apache.kafka.clients.admin.CreateTopicsResult;
import org.apache.kafka.clients.admin.NewTopic;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerRecord;

public class msgproducer {

    public static void main(String[] args) {

        
        
        Properties props = new Properties();
        props.put("bootstrap.servers", "localhost:9092");
        props.put("acks", "all");
        props.put("retries", 0);
        props.put("batch.size", 16384);
        props.put("linger.ms", 1);
        props.put("buffer.memory", 33554432);
        props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");

        Producer<String, String> producer = new KafkaProducer<String, String>(props);
        for (int i = 0; i < 100; i++)
            producer.send(new ProducerRecord<String, String>("demo", Integer.toString(i), Integer.toString(i)));

        producer.close();
 
    }

}

3、消息消费

package kafkatest;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.Properties;
import java.util.concurrent.ExecutionException;

import org.apache.kafka.clients.admin.AdminClient;
import org.apache.kafka.clients.admin.CreateTopicsResult;
import org.apache.kafka.clients.admin.NewTopic;
import org.apache.kafka.clients.consumer.ConsumerRebalanceListener;
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.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.common.TopicPartition;

public class msgconsumer {

    public static void main(String[] args) {
         Properties props = new Properties();
            props.put("bootstrap.servers", "localhost:9092");
            props.put("group.id", "test");
            props.put("enable.auto.commit", "true");
            props.put("auto.commit.interval.ms", "1000");
            props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
            props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
            final KafkaConsumer<String, String> consumer = new KafkaConsumer<String,String>(props);
            consumer.subscribe(Arrays.asList("demo"),new ConsumerRebalanceListener() {
         
                @Override
                public void onPartitionsAssigned(Collection<TopicPartition> collection) {
                    //将偏移设置到最开始
                    consumer.seekToBeginning(collection);
                    
                }
                @Override
                public void onPartitionsRevoked(Collection<TopicPartition> arg0) {
                    // TODO Auto-generated method stub
                    
                }
            });
            while (true) {
                ConsumerRecords<String, String> records = consumer.poll(100);
                for (ConsumerRecord<String, String> record : records)
                    System.out.printf("offset = %d, key = %s, value = %s%n", record.offset(), record.key(), record.value());
            }
    }

}