// 采用监听得方式接收 @Payload标记消息体内容.
@KafkaListener(topics = {"test"},groupId = "hello")
public void onEvent(@Payload String event,@Header(value = KafkaHeaders.RECEIVED_TOPIC) String topic,@Header(value = KafkaHeaders.RECEIVED_PARTITION_ID) String partition){System.out.println("读取到了时间消息: " + event);
}

Acknowledgment

开启手动确认模式；

listener:ack-mode: manual

// 采用监听得方式接收 @Payload标记消息体内容.
@KafkaListener(topics = {"test"},groupId = "hello")
public void onEvent(@Payload String event,@Header(value = KafkaHeaders.RECEIVED_TOPIC) String topic,@Header(value = KafkaHeaders.RECEIVED_PARTITION_ID) String partition,ConsumerRecord<String,String> record,Acknowledgment ack){ack.acknowledge(); // 手动确认，告诉kafka服务器该消息我已经收到了. System.out.println("读取到了时间消息: " + event);
}

读消息指定分区

@KafkaListener(groupId = "hello",topicPartitions = {@TopicPartition(topic = "${kafka.topic.test}",partitions = {"0","1","2"}, // 0 1 2分区不限制偏移量partitionOffsets = { // 3 分区只读 3偏移量之后的; 4分区只读 4偏移量之后的@PartitionOffset(partition = "3",initialOffset = "3"),@PartitionOffset(partition = "4",initialOffset = "3")})}
)

批量消费

修改配置

kafka:bootstrap-servers: 192.168.225.128:9092listener:type: batch# 每次读取20条consumer:max-poll-records: 20

消费者端接收一个List即可

@KafkaListener(topics = {"hi"},groupId = "batchGroup2")
public void onEvent3(List<ConsumerRecord<String,String>> records){System.out.println(records.size());
}

消息拦截