启动kafka Server

cd 到kafka的bin目录下：前提是启动zk./kafka-server-start.sh /Users/hz/programs/kafka_2.12-2.2.1/config/server.properties &

kafka创建topic:

kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test-kafka

kafka 发送信息命令：

./kafka-console-producer.sh --broker-list localhost:9092 --topic test-kafka

kafka 接收信息命令：

./kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic test-kafka --from-beginning

整合springboot+kafka

KafkaProducerConfig.java

 @Configuration public class KafkaProducerConfig {    @Bean public ProducerFactory producerFactory() {      Map configProps = new HashMap<>();      configProps.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");     configProps.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);      configProps.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);      return new DefaultKafkaProducerFactory<>(configProps);   } @Bean public KafkaTemplate kafkaTemplate() {   return new KafkaTemplate<>(producerFactory());   } }

KafkaConsumerConfig.java

@EnableKafka @Configuration public class KafkaConsumerConfig {  @Bean public ConsumerFactory consumerFactory() {     Map props = new HashMap<>();     props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");    props.put(ConsumerConfig.GROUP_ID_CONFIG, "group-test-kafka");    props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);     props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);     props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG,false);    return new DefaultKafkaConsumerFactory<>(props);   } @Bean public ConcurrentKafkaListenerContainerFactory kafkaListenerContainerFactory() {   ConcurrentKafkaListenerContainerFactory factory = new ConcurrentKafkaListenerContainerFactory<>();  factory.setConsumerFactory(consumerFactory());   return factory;   } }

KafkaProducer.java

@Component @AllArgsConstructor @Slf4j public class KafkaProducer {   private final KafkaTemplate kafkaTemplate;   public void data(String data){   try {     kafkaTemplate.send("test-kafka", "这是测试的数据==>"+data );   }catch (Exception e){     e.printStackTrace();     log.error("出错！！！！！！！！！！！"); }  } }

KafkaConsumer.java

@Component @AllArgsConstructor @Slf4j public class KafkaConsumer { @KafkaListener(topics = "${kafka.topic}", groupId = "${kafka.group}",errorHandler = "consumerAwareErrorHandler")                             public void data(ConsumerRecord consumerRecord) throws Exception {                               Object value = consumerRecord.value();                               if (log.isInfoEnabled()) {                                log.info("offset {}, value {}", consumerRecord.offset(), consumerRecord.value());                               } if (null == value) {                                 log.error("kafka消费数据为空");                               } log.info((String) value);                               //模拟异常情况处理消息 throw new Exception("模拟消费异常，执行errorhandle方法"); }                               @Bean public ConsumerAwareListenerErrorHandler consumerAwareErrorHandler() {                                return (message, exception, consumer) -> {                                   System.out.println("消费异常："+message.getPayload()); return null;                               };                             } }

TestKafkaController.java

@RestController @AllArgsConstructorpublic class TestController {  private final KafkaProducer kafkaProducer;   @GetMapping("/testKafka") public String aVoid(String str){     try { kafkaProducer.data(str);         }catch (Exception e){           e.printStackTrace();         }     return "成功==============================";   } }

application.properties

spring.kafka.bootstrap-servers=localhost:9092 spring.kafka.producer.batch-size=16 spring.kafka.producer.buffer-memory=33554432 spring.kafka.producer.retries=0 spring.kafka.producer.enable-auto-commit=false #设置大于0的值，则客户端会将发送失败的记录重新发送 spring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringSerializer spring.kafka.producer.value-serializer=org.apache.kafka.common.serialization.StringSerializer kafka.topic: test-kafka #主题消费分组 kafka.group: group-test-kafka

启动项目测试一下：http://127.0.0.1:8686/testKafka