springboot配置双kafka
使用spring boot 2.0.8.RELEASE 版本
引入Maven kafka jar、准备两个kafka；
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
</dependency>配置yml配置文件
spring:
kafka:
bootstrap-servers: 180.167.180.242:9092 #kafka的访问地址，多个用","隔开
consumer:
enable-auto-commit: true
group-id: kafka #群组ID
outkafka:
bootstrap-servers: localhost:9092 #kafka的访问地址，多个用","隔开
consumer:
enable-auto-commit: true
group-id: kafka_1 #群组ID配置KafkaConfig类
import java.util.HashMap;
import java.util.Map;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.apache.kafka.common.serialization.StringSerializer;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.kafka.annotation.EnableKafka;
import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory;
import org.springframework.kafka.config.KafkaListenerContainerFactory;
import org.springframework.kafka.core.ConsumerFactory;
import org.springframework.kafka.core.DefaultKafkaConsumerFactory;
import org.springframework.kafka.core.DefaultKafkaProducerFactory;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.core.ProducerFactory;
import org.springframework.kafka.listener.ConcurrentMessageListenerContainer;
@Configuration
@EnableKafka
public class KafkaConfig {
@Value("${spring.kafka.bootstrap-servers}")
private String innerServers;
@Value("${spring.kafka.consumer.group-id}")
private String innerGroupid;
@Value("${spring.kafka.consumer.enable-auto-commit}")
private String innerEnableAutoCommit;
@Bean
@Primary//理解为默认优先选择当前容器下的消费者工厂
KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<Integer, String>> kafkaListenerContainerFactory() {
ConcurrentKafkaListenerContainerFactory<Integer, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
factory.setConsumerFactory(consumerFactory());
factory.setConcurrency(3);
factory.getContainerProperties().setPollTimeout(3000);
return factory;
}
@Bean//第一个消费者工厂的bean
public ConsumerFactory<Integer, String> consumerFactory() {
return new DefaultKafkaConsumerFactory<>(consumerConfigs());
}
@Bean
public Map<String, Object> consumerConfigs() {
Map<String, Object> props = new HashMap<>();
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, innerServers);
props.put(ConsumerConfig.GROUP_ID_CONFIG, innerGroupid);
props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, innerEnableAutoCommit);
// props.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, "100");
// props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, "15000");
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
return props;
}
@Bean //生产者工厂配置
public ProducerFactory<String, String> producerFactory() {
return new DefaultKafkaProducerFactory<>(senderProps());
}
@Bean //kafka发送消息模板
public KafkaTemplate<String, String> kafkaTemplate() {
return new KafkaTemplate<String, String>(producerFactory());
}
private Map<String, Object> senderProps() {
Map<String, Object> props = new HashMap<>();
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, innerServers);
props.put(ProducerConfig.RETRIES_CONFIG, 0);
props.put(ProducerConfig.ACKS_CONFIG, "1");
// 以下配置当缓存数量达到16kb，就会触发网络请求，发送消息
// props.put(ProducerConfig.BATCH_SIZE_CONFIG, 16384);
// 每条消息在缓存中的最长时间，如果超过这个时间就会忽略batch.size的限制，由客户端立即将消息发送出去
// props.put(ProducerConfig.LINGER_MS_CONFIG, 1);
// props.put(ProducerConfig.BUFFER_MEMORY_CONFIG, 33554432);
props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
return props;
}
@Value("${spring.outkafka.bootstrap-servers}")
private String outServers;
@Value("${spring.outkafka.consumer.group-id}")
private String outGroupid;
@Value("${spring.outkafka.consumer.enable-auto-commit}")
private String outEnableAutoCommit;
static {
}
@Bean
KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<Integer, String>> kafkaListenerContainerFactoryOutSchedule() {
ConcurrentKafkaListenerContainerFactory<Integer, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
factory.setConsumerFactory(consumerFactoryOutSchedule());
factory.setConcurrency(3);
factory.getContainerProperties().setPollTimeout(3000);
return factory;
}
@Bean
public ConsumerFactory<Integer, String> consumerFactoryOutSchedule() {
return new DefaultKafkaConsumerFactory<>(consumerConfigsOutSchedule());
}
@Bean
public Map<String, Object> consumerConfigsOutSchedule() {
Map<String, Object> props = new HashMap<>();
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, outServers);
props.put(ConsumerConfig.GROUP_ID_CONFIG, outGroupid);
props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, outEnableAutoCommit);
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
return props;
}
@Bean //生产者工厂配置
public ProducerFactory<String, String> producerOutFactory() {
return new DefaultKafkaProducerFactory<>(senderOutProps());
}
@Bean //kafka发送消息模板
public KafkaTemplate<String, String> kafkaOutTemplate() {
return new KafkaTemplate<String, String>(producerOutFactory());
}
private Map<String, Object> senderOutProps() {
Map<String, Object> props = new HashMap<>();
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, outServers);
props.put(ProducerConfig.RETRIES_CONFIG, 0);
props.put(ProducerConfig.ACKS_CONFIG, "1");
// 以下配置当缓存数量达到16kb，就会触发网络请求，发送消息
// props.put(ProducerConfig.BATCH_SIZE_CONFIG, 16384);
// 每条消息在缓存中的最长时间，如果超过这个时间就会忽略batch.size的限制，由客户端立即将消息发送出去
// props.put(ProducerConfig.LINGER_MS_CONFIG, 1);
// props.put(ProducerConfig.BUFFER_MEMORY_CONFIG, 33554432);
props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
return props;
}
}发送工具类MyKafkaProducer
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.support.SendResult;
import org.springframework.scheduling.annotation.EnableScheduling;
import org.springframework.stereotype.Component;
import org.springframework.util.concurrent.ListenableFuture;
import lombok.extern.slf4j.Slf4j;
@Component // 这个必须加入容器不然，不会执行
@EnableScheduling // 这里是为了测试加入定时调度
@Slf4j
public class MyKafkaProducer {
@Autowired
private KafkaTemplate<String, String> kafkaTemplate;
@Autowired
private KafkaTemplate<String, String> kafkaOutTemplate;
public ListenableFuture<SendResult<String, String>> send(String topic, String key, String json) {
ListenableFuture<SendResult<String, String>> result = kafkaTemplate.send(topic, key, json);
log.info("inner kafka send #topic=" + topic + "#key=" + key + "#json=" + json + "#推送成功===========");
return result;
}
public ListenableFuture<SendResult<String, String>> sendOut(String topic, String key, String json) {
ListenableFuture<SendResult<String, String>> result = kafkaOutTemplate.send(topic, key, json);
log.info("out kafka send #topic=" + topic + "#key=" + key + "#json=" + json + "#推送成功===========");
return result;
}
}测试类
@Slf4j
@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(classes={OesBcServiceApplication.class})
public class MoreKafkaTest {
@Autowired
private MyKafkaProducer kafkaProducer;
@Test
public void sendInner() {
for (int i = 0; i < 1; i++) {
kafkaProducer.send("inner_test", "douzi" + i, "liyuehua" + i);
kafkaProducer.sendOut("out_test", "douziout" + i, "fanbingbing" + i);
}
}
}接收类
@Component
@Slf4j
public class KafkaConsumer {
@KafkaListener(topics={"inner_test"}, containerFactory="kafkaListenerContainerFactory")
public void innerlistener(ConsumerRecord<String, String> record) {
log.info("inner kafka receive #key=" + record.key() + "#value=" + record.value());
}
@KafkaListener(topics={"out_test"}, containerFactory="kafkaListenerContainerFactoryOutSchedule")
public void outListener(ConsumerRecord<String, String> record) {
log.info("out kafka receive #key=" + record.key() + "#value=" + record.value());
}
}测试结果
07-11 12:41:27.811 INFO [com.wondertek.oes.bc.service.send.MyKafkaProducer] - inner kafka send #topic=inner_test#key=douzi0#json=liyuehua0#推送成功===========
07-11 12:41:27.995 INFO [com.wondertek.oes.bc.service.send.KafkaConsumer] - inner kafka receive #key=douzi0#value=liyuehua0
07-11 12:41:28.005 INFO [com.wondertek.oes.bc.service.send.MyKafkaProducer] - out kafka send #topic=out_test#key=douziout0#json=fanbingbing0#推送成功===========
07-11 12:41:28.013 INFO [com.wondertek.oes.bc.service.send.KafkaConsumer] - out kafka receive #key=douziout0#value=fanbingbing0
总结
以上为个人经验，希望能给大家一个参考，也希望大家多多支持编程网。
