下载 Apache Kafka

  演示window 安装

   编写启动脚本,脚本的路径根据自己实际的来

启动说明

先启动zookeeper后启动kafka,关闭是先关kafka,然后关闭zookeeper

巧记： 铲屎官（zookeeper）总是第一个到，最后一个走

启动zookeeper

call bin/windows/zookeeper-server-start.bat config/zookeeper.properties

启动kafka  

call bin/windows/kafka-server-start.bat config/server.properties

 测试脚本，主要用于创建主题 ‘test-topic’

# 创建主题（窗口1）
bin/window> kafka-topics.bat --bootstrap-server localhost:9092 --topic test-topic  --create# 查看主题
bin/window> kafka-topics.bat --bootstrap-server localhost:9092 --list
bin/window> kafka-topics.bat --bootstrap-server localhost:9092 --topic test-topic --describe# 修改某主题的分区
bin/window> kafka-topics.bat --bootstrap-server localhost:9092 --topic test-topic --alter --partitions 2# 生产消息（窗口2）向test-topic主题发送消息
bin/window> kafka-console-producer.bat --bootstrap-server localhost:9092 --topic test-topic
>hello kafka# 消费消息（窗口3）消费test-topic主题的消息
bin/window> kafka-console-consumer.bat --bootstrap-server localhost:9092 --topic test-topic

package com.ldj.kafka.admin;import org.apache.kafka.clients.admin.AdminClient;
import org.apache.kafka.clients.admin.AdminClientConfig;
import org.apache.kafka.clients.admin.CreateTopicsResult;
import org.apache.kafka.clients.admin.NewTopic;import java.util.*;/*** User: ldj* Date: 2024/6/13* Time: 0:00* Description: 创建主题*/
public class AdminTopic {public static void main(String[] args) {Map<String, Object> adminConfigMap = new HashMap<>();adminConfigMap.put(AdminClientConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");AdminClient adminClient = AdminClient.create(adminConfigMap);/*** 使用kafka默认的分区算法创建分区*/NewTopic topic1 = new NewTopic("topic-01", 1, (short) 1);NewTopic topic2 = new NewTopic("topic-02", 2, (short) 2);CreateTopicsResult addResult1 = adminClient.createTopics(Arrays.asList(topic1, topic2));/*** 手动为主题（topic-03）分配分区* topic-03主题下的0号分区有2个副本，它们中的一个在节点id=1中，一个在节点id=2中；* list里第一个副本就是leader（主写），后面都是follower(主备份)* 例如：0分区，nodeId=1的节点里的副本是主写、2分区，nodeId=3的节点里的副本是主写*/Map<Integer, List<Integer>> partition = new HashMap<>();partition.put(0, Arrays.asList(1, 2));partition.put(1, Arrays.asList(2, 3));partition.put(2, Arrays.asList(3, 1));NewTopic topic3 = new NewTopic("topic-03", partition);CreateTopicsResult addResult2 = adminClient.createTopics(Collections.singletonList(topic3));//DeleteTopicsResult delResult = adminClient.deleteTopics(Arrays.asList("topic-02"));adminClient.close();}}

package com.ldj.kafka.producer;import com.alibaba.fastjson.JSON;
import com.ldj.kafka.model.UserEntity;
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.clients.producer.RecordMetadata;
import org.apache.kafka.common.serialization.StringSerializer;import java.util.HashMap;
import java.util.Map;
import java.util.Objects;
import java.util.concurrent.Future;/*** User: ldj* Date: 2024/6/12* Time: 21:08* Description: 生产者*/
public class KfkProducer {public static void main(String[] args) throws Exception {//生产者配置Map<String, Object> producerConfigMap = new HashMap<>();producerConfigMap.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");producerConfigMap.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);producerConfigMap.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);//批量发送producerConfigMap.put(ProducerConfig.BATCH_SIZE_CONFIG, 2);//消息传输应答安全级别 0-消息到达broker(效率高，但不安全)  1-消息在leader副本持久化（折中方案）  -1/all -消息在leader和flower副本都持久化（安全，但效率低）producerConfigMap.put(ProducerConfig.ACKS_CONFIG, "all");//ProducerState 缓存5条数据，重试数据会与5条数据做比较，结论只能保证一个分区的数据幂等性，跨会话幂等性需要通过事务操作解决（重启后全局消息id的随机id会发生改变）//消息发送失败重试次数，重试会导致消息重复!!（考虑幂等性），消息乱序（判断偏移量是否连续，错乱消息回到在缓冲区重新排序）!!producerConfigMap.put(ProducerConfig.RETRIES_CONFIG, 3);//kafka有消息幂等性处理（全局唯一消息id/随机id-分区-偏移量）,默认false-不开启producerConfigMap.put(ProducerConfig.ENABLE_IDEMPOTENCE_CONFIG, true);//解决跨会话幂等性，还需结合事务操作,忽略//producerConfigMap.put(ProducerConfig.TRANSACTIONAL_ID_CONFIG, "tx_id");//创建生产者KafkaProducer<String, String> producer = new KafkaProducer<>(producerConfigMap);//TODO 事务初始化方法//producer.initTransactions();//构建消息 ProducerRecord(String topic, Integer partition, Long timestamp, K key, V value, Iterable<Header> headers)try {//TODO 开启事务//producer.beginTransaction();for (int i = 0; i < 10; i++) {UserEntity userEntity = new UserEntity().setUserId(2436687942335620L + i).setUsername("lisi").setGender(1).setAge(18);ProducerRecord<String, String> record = new ProducerRecord<>("test-topic",userEntity.getUserId().toString(),JSON.toJSONString(userEntity));//发送数据到BrokerFuture<RecordMetadata> future = producer.send(record, (RecordMetadata var1, Exception var2) -> {if (Objects.isNull(var2)) {System.out.printf("[%s]消息发送成功！", userEntity.getUserId());} else {System.out.printf("[%s]消息发送失败！err:%s", userEntity.getUserId(), var2.getCause());}});//TODO 提交事务//producer.commitTransaction();//注意没有下面这行代码，是异步线程从缓冲区读取数据异步发送消息，反之是同步发送，必须等待回调消息返回才会往下执行System.out.printf("发送消息[%s]----", userEntity.getUserId());RecordMetadata recordMetadata = future.get();System.out.println(recordMetadata.offset());}} finally {//TODO 终止事务//producer.abortTransaction();//关闭通道producer.close();}}}

package com.ldj.kafka.consumer;import org.apache.kafka.clients.consumer.ConsumerConfig;
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.time.Duration;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;/*** User: ldj* Date: 2024/6/12* Time: 21:10* Description: 消费者*/
public class KfkConsumer {public static void main(String[] args) {//消费者配置Map<String, Object> consumerConfigMap = new HashMap<>();consumerConfigMap.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");consumerConfigMap.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);consumerConfigMap.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);//所属消费组consumerConfigMap.put(ConsumerConfig.GROUP_ID_CONFIG, "test123456");//创建消费者KafkaConsumer<String, String> consumer = new KafkaConsumer<>(consumerConfigMap);//消费主题的消息  ConsumerRebalanceListenerconsumer.subscribe(Collections.singletonList("test-topic"));try {while (true) {ConsumerRecords<String, String> records = consumer.poll(Duration.ofSeconds(5));//数据存储结构：Map<TopicPartition, List<ConsumerRecord<K, V>>> records;for (ConsumerRecord<String, String> record : records) {System.out.println(record.value());}}} finally {//关闭消费者consumer.close();}}}