一、下载
参考文档
a.中文社区 http://kafka.apachecn.org
b.下载地址 http://kafka.apache.org/downloads


二、安装kafka
解压: tar -zxvf kafka_2.12-2.2.0.tgz

Zookeeper下载地址:http://ftp.man.poznan.pl/apache/

修改配置文件名称

添加环境变量vi /etc/profile

修改zookeeper配置数据和日志目录

启动

查看Zookeeper启动状态:是否成功

或zkCli.sh: 能连接到zookeeper server

修改kafka配置server.properties: 只需要修改zk地址即可
broker.id=0
listeners=PLAINTEXT://172.22.64.45:9092
log.dirs=/opt/kafka/logDir/
zookeeper.connect=172.22.64.45:2181
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添加环境变量

启动:./kafka-server-start.sh ../config/server.properties

或者

二、springboot整合kafka
(1)、pom文件配置
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
<version>2.2.0.RELEASE</version>
</dependency>
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(2)、application.properties 添加kafka配置
kafka.consumer.zookeeper.connect=172.22.64.45:2181
kafka.consumer.servers=172.22.64.45:9092 kafka.consumer.enable.auto.commit=true kafka.consumer.session.timeout=6000 kafka.consumer.auto.commit.interval=100 kafka.consumer.auto.offset.reset=latest kafka.consumer.topic=test kafka.consumer.group.id=test kafka.consumer.concurrency=10
kafka.producer.servers=172.22.64.45:9092 kafka.producer.retries=0 kafka.producer.batch.size=4096 kafka.producer.linger=1 kafka.producer.buffer.memory=40960
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(3)、生产者配置
@Configuration @EnableKafka public class KafkaProducerConfig {
@Value("${kafka.producer.servers}") private String servers; @Value("${kafka.producer.retries}") private int retries; @Value("${kafka.producer.batch.size}") private int batchSize; @Value("${kafka.producer.linger}") private int linger; @Value("${kafka.producer.buffer.memory}") private int bufferMemory;
public Map<String, Object> producerConfigs() { Map<String, Object> props = new HashMap<>(); props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, servers); props.put(ProducerConfig.RETRIES_CONFIG, retries); props.put(ProducerConfig.BATCH_SIZE_CONFIG, batchSize); props.put(ProducerConfig.LINGER_MS_CONFIG, linger); props.put(ProducerConfig.BUFFER_MEMORY_CONFIG, bufferMemory); props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class); props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class); return props; }
public ProducerFactory<String, String> producerFactory() { return new DefaultKafkaProducerFactory<>(producerConfigs()); }
@Bean public KafkaTemplate<String, String> kafkaTemplate() { return new KafkaTemplate<String, String>(producerFactory()); } }
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(4)、消费者配置
@Configuration @EnableKafka public class KafkaConsumerConfig {
@Value("${kafka.consumer.servers}") private String servers; @Value("${kafka.consumer.enable.auto.commit}") private boolean enableAutoCommit; @Value("${kafka.consumer.session.timeout}") private String sessionTimeout; @Value("${kafka.consumer.auto.commit.interval}") private String autoCommitInterval; @Value("${kafka.consumer.group.id}") private String groupId; @Value("${kafka.consumer.auto.offset.reset}") private String autoOffsetReset; @Value("${kafka.consumer.concurrency}") private int concurrency;
@Bean public KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<String, String>> kafkaListenerContainerFactory() { ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>(); factory.setConsumerFactory(consumerFactory()); factory.setConcurrency(concurrency); factory.getContainerProperties().setPollTimeout(1500); return factory; }
public ConsumerFactory<String, String> consumerFactory() { return new DefaultKafkaConsumerFactory<>(consumerConfigs()); }
public Map<String, Object> consumerConfigs() { Map<String, Object> propsMap = new HashMap<>(); propsMap.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, servers); propsMap.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, enableAutoCommit); propsMap.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, autoCommitInterval); propsMap.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, sessionTimeout); propsMap.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); propsMap.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); propsMap.put(ConsumerConfig.GROUP_ID_CONFIG, groupId); propsMap.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, autoOffsetReset); return propsMap; }
@Bean public Listener getListener(){ return new Listener(); } }
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(5)、编写监听
public class Listener { protected final Logger logger = LoggerFactory.getLogger(this.getClass());
@KafkaListener(topics = {"test"}) public void listen(ConsumerRecord<?, ?> record) { Optional<?> kafkaMessage = Optional.ofNullable(record.value()); logger.info(">>>>>>>>>> record =" + kafkaMessage); if(kafkaMessage.isPresent()){ //得到Optional实例中的值 Object message = kafkaMessage.get(); logger.info("kafka的key: " + record.key()); logger.info("kafka的value: " + record.value().toString()); } } }
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(6)、Controller访问
@RestController public class ProducerController {
protected static final Logger logger = LoggerFactory.getLogger(ProducerController.class);
@Autowired private KafkaTemplate kafkaTemplate;
@RequestMapping(value = "send",method = {RequestMethod.GET}) public String SendMsg(HttpServletRequest request, HttpServletResponse response){ String message = request.getParameter("message"); logger.info("kafka的消息={}",message); kafkaTemplate.send("test", "key", message); logger.info("发送kafka成功."); return "sucess"; } }
参考:https://gitee.com/pikapi/springboot.git
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