SpringBoot通過kafka實現訊息傳送與接收（包括不能傳送和消費kafka訊息的採坑記錄）
阿新 • • 發佈：2019-02-17
kafka採坑記錄：
1、kafka服務端server.properties中的broker.id叢集內需要唯一。
2、kafka config檔案中listeners和advertised.listeners需要配置本機ip:9092地址，不然消費不到資料。（如:192.168.217.128:9092）
3、java程式碼客戶端版本號需要與服務端版本號一一對應，不然消費不到資料。（如：我的kafka服務端是 kafka_2.11-1.1.0版本則我的java程式碼maven依賴的kafka-clients版本號為0.10.2.1）
4、建立topic的分割槽時需要考慮到同組consumer的個數，分割槽數保持在consumer的整數倍，不然會浪費資源。
application.properties配置：
spring.application.name=ops server.port=8888 #============== kafka =================== kafka.consumer.servers=192.168.217.128:9092 kafka.consumer.enable.auto.commit=true kafka.consumer.session.timeout=6000 kafka.consumer.auto.commit.interval=100 kafka.consumer.auto.offset.reset=earliest kafka.consumer.topic=test kafka.consumer.group.id=test kafka.consumer.concurrency=10 kafka.producer.servers=192.168.217.128:9092 kafka.producer.retries=0 kafka.producer.batch.size=4096 kafka.producer.linger=1 kafka.producer.buffer.memory=40960
produver配置：
package com.cy.ops.config; import org.apache.kafka.clients.producer.ProducerConfig; 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.kafka.annotation.EnableKafka; import org.springframework.kafka.core.DefaultKafkaProducerFactory; import org.springframework.kafka.core.KafkaTemplate; import org.springframework.kafka.core.ProducerFactory; import java.util.HashMap; import java.util.Map; @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("${kafka.producer.buffer.memory}") private int bufferMemory; public Map<String, Object> producerConfigs() { Map<String, Object> props = new HashMap<>(); props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, servers); props.put(ProducerConfig.RETRIES_CONFIG, retries); props.put(ProducerConfig.BATCH_SIZE_CONFIG, batchSize); props.put(ProducerConfig.LINGER_MS_CONFIG, linger); props.put(ProducerConfig.BUFFER_MEMORY_CONFIG, bufferMemory); props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class); props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class); return props; } public ProducerFactory<String, String> producerFactory() { return new DefaultKafkaProducerFactory<>(producerConfigs()); } public KafkaTemplate<String, String> kafkaTemplate() { return new KafkaTemplate<String, String>(producerFactory()); } }
consumer配置：
package com.cy.ops.config;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.annotation.EnableKafka;
import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory;
import org.springframework.kafka.config.KafkaListenerContainerFactory;
import org.springframework.kafka.core.ConsumerFactory;
import org.springframework.kafka.core.DefaultKafkaConsumerFactory;
import org.springframework.kafka.listener.ConcurrentMessageListenerContainer;
import java.util.HashMap;
import java.util.Map;
@Configuration
@EnableKafka
public class KafkaConsumerConfig {
@Value("${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;
}
}
Listener配置：
package com.cy.ops.listener;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Component;
@Component
public class Listener {
protected final Logger logger = LoggerFactory.getLogger(this.getClass());
@KafkaListener(topics = {"test_new"})
public void listen(ConsumerRecord<?, ?> record) {
System.out.println("kafka的key: " + record.key());
System.out.println("kafka的value: " + record.value().toString());
}
}
測試程式碼：
package com.cy.ops;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.test.context.junit4.SpringJUnit4ClassRunner;
@SpringBootApplication
@RunWith(SpringJUnit4ClassRunner.class)
@SpringBootTest(webEnvironment = SpringBootTest.WebEnvironment.RANDOM_PORT)
public class KafkaTest {
@Autowired
private KafkaTemplate kafkaTemplate;
@Test
public void test(){
kafkaTemplate.send("test_new", "hi", "444444444444455555555555555555");
}
}
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