kafka 多容器工厂反序列化 kafkaListenerContainerFactory
原创
业务需要，批量消费，但是又想批量直接按 List<ModelDTO> 模式直接拉取数据，批量处理。
private final String topic = “queue_notify”;
@KafkaListener(topics = topic ,containerFactory = “kafkaLiveListenerContainerFactory”) public void listen(List
private final String topic = “queue_push”; //containerFactory 容器工厂方法 @KafkaListener(topics = topic,containerFactory = “kafkaListenerContainerFactory”) public void listen(List
批量拉取不同 topic 获取到 list 的 DTO，进行处理。
package com.dg.mall.push.config;
import com.dg.mall.push.kafka.PushJsonDeserializer; import com.dg.mall.push.kafka.LiveJsonDeserializer; import com.dg.mall.push.kafka.listen.LiveNotifyListener; import com.dg.mall.push.kafka.listen.PushListener; 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("${spring.kafka.consumer.bootstrap-servers}") private String servers; @Value("${spring.kafka.consumer.enable-auto-commit}") private boolean enableAutoCommit; @Value("${spring.kafka.consumer.auto-commit-interval}") private String autoCommitInterval; @Value("${spring.kafka.consumer.group-id}") private String groupId; @Value("${spring.kafka.consumer.auto-offset-reset}") private String autoOffsetReset; @Value("${spring.kafka.consumer.concurrency}") private int concurrency; @Value("${spring.kafka.consumer.max-consumer-number}") private Integer maxConsumerNumber; @Bean public KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<String, byte[]>> kafkaListenerContainerFactory() { ConcurrentKafkaListenerContainerFactory<String, byte[]> factory = new ConcurrentKafkaListenerContainerFactory<>(); factory.setConsumerFactory(consumerFactory()); //并发数量 factory.setConcurrency(concurrency); //批量获取 factory.setBatchListener(true); factory.getContainerProperties().setPollTimeout(1500); return factory; } public ConsumerFactory<String, byte[]> consumerFactory() { return new DefaultKafkaConsumerFactory(consumerConfigs(),new StringDeserializer(),new pushJsonDeserializer()); } 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.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); // //这里是反序列化的 pushJsonDeserializer propsMap.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, pushJsonDeserializer.class); propsMap.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, 30000); propsMap.put(ConsumerConfig.REQUEST_TIMEOUT_MS_CONFIG,40000); propsMap.put(ConsumerConfig.GROUP_ID_CONFIG, groupId); propsMap.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, autoOffsetReset); //最多批量获取 100 个 propsMap.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG,maxConsumerNumber); return propsMap; } @Bean public KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<String, byte[]>> kafkaLiveListenerContainerFactory() { ConcurrentKafkaListenerContainerFactory<String, byte[]> factory = new ConcurrentKafkaListenerContainerFactory<>(); factory.setConsumerFactory(liveConsumerFactory()); //并发数量 factory.setConcurrency(concurrency); //批量获取 factory.setBatchListener(true); factory.getContainerProperties().setPollTimeout(1500); return factory; } public ConsumerFactory<String, byte[]> liveConsumerFactory() { return new DefaultKafkaConsumerFactory(liveConsumerConfigs(),new StringDeserializer(),new PushLiveJsonDeserializer()); } public Map<String, Object> liveConsumerConfigs() { 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.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); //这里是反序列化的 liveJsonDeserializer propsMap.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, liveJsonDeserializer.class); propsMap.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, 30000); propsMap.put(ConsumerConfig.REQUEST_TIMEOUT_MS_CONFIG,40000); propsMap.put(ConsumerConfig.GROUP_ID_CONFIG, groupId); propsMap.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, autoOffsetReset); //最多批量获取 100 个 propsMap.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG,maxConsumerNumber); return propsMap; } @Bean public PushListener listener() { return new PushListener(); } @Bean public NotifyListener livelistener() { return new NotifyListener(); } } //反序列化 package com.dg.mall.push.kafka;
import com.dg.mall.push.model.message.PushLiveDTO; import com.gexin.fastjson.JSON; import org.apache.kafka.common.serialization.Deserializer;
import java.util.Map;
public class LiveJsonDeserializer implements Deserializer<PushLiveDTO> {
@Override public void configure(Map<String, ?> configs, boolean isKey) { } @Override public PushLiveDTO deserialize(String topic, byte[] data) { return JSON.parseObject(data, PushLiveDTO.class); } @Override public void close() { } } //反序列化 package com.dg.mall.push.kafka;
import com.dg.mall.push.model.message.MallPushMongoDB; import com.gexin.fastjson.JSON; import org.apache.kafka.common.serialization.Serializer;
import java.util.Map;
public class MallPushJsonSerializer implements Serializer<MallPushMongoDB> {
@Override public void configure(Map<String, ?> configs, boolean isKey) { } @Override public byte[] serialize(String topic, MallPushMongoDB data) { return JSON.toJSONBytes(data); } @Override public void close() { } }
总结 消费
@KafkaListener(topics = topic ,containerFactory = “kafkaLiveListenerContainerFactory”) 监听消费一定要加 containerFactory 对应 容器工厂类 ，容器工厂类里面有个反序列化，需要替换，一般都是 String 反序列化，这里我们替换成我们自己创建的 DTO，在来进行反序列化 LiveJsonDeserializer 。
最后的最后监听消费批量获取的时候
数据就这样全部获取到了。
end!