Kafka制作者timeoutexception:过期1个记录

qvtsj1bj  于 2021-06-07  发布在  Kafka
关注(0)|答案(1)|浏览(486)

我在用Kafka和Spring Boot:
Kafka制作人课程:

@Service
public class MyKafkaProducer {

    @Autowired
    private KafkaTemplate<String, String> kafkaTemplate;

    private static Logger LOGGER = LoggerFactory.getLogger(NotificationDispatcherSender.class);

    // Send Message
    public void sendMessage(String topicName, String message) throws Exception {
        LOGGER.debug("========topic Name===== " + topicName + "=========message=======" + message);
        ListenableFuture<SendResult<String, String>> result = kafkaTemplate.send(topicName, message);
        result.addCallback(new ListenableFutureCallback<SendResult<String, String>>() {
            @Override
            public void onSuccess(SendResult<String, String> result) {
                LOGGER.debug("sent message='{}' with offset={}", message, result.getRecordMetadata().offset());
            }

            @Override
            public void onFailure(Throwable ex) {
                LOGGER.error(Constants.PRODUCER_MESSAGE_EXCEPTION.getValue() + " : " + ex.getMessage());
            }
        });
    }
}

Kafka配置:

spring.kafka.producer.retries=0
spring.kafka.producer.batch-size=100000
spring.kafka.producer.request.timeout.ms=30000
spring.kafka.producer.linger.ms=10
spring.kafka.producer.acks=0
spring.kafka.producer.buffer-memory=33554432
spring.kafka.producer.max.block.ms=5000
spring.kafka.bootstrap-servers=192.168.1.161:9092,192.168.1.162:9093

假设我在topic中发送了10次1000条消息 my-test-topic .
10次中有8次我成功地获取了消费者的所有消息,但有时我会遇到以下错误: 2017-10-05 07:24:11, [ERROR] [my-service - LoggingProducerListener - onError:76] Exception thrown when sending a message with key='null' and payload='{"deviceType":"X","deviceKeys":[{"apiKey":"X-X-o"}],"devices...' to topic my-test-topic 以及 org.apache.kafka.common.errors.TimeoutException: Expiring 1 record(s) for my-test-topic-4 due to 30024 ms has passed since batch creation plus linger time

lf3rwulv

lf3rwulv1#

有3种可能性:
增加 request.timeout.ms -这是Kafka在缓冲区等待整批准备就绪的时间。所以在您的例子中,如果缓冲区中的消息少于100000条,就会发生超时。更多信息请点击此处:https://stackoverflow.com/a/34794261/2707179
减少 batch-size -与前一点相关,它将更频繁地发送批处理,但它们将包含更少的消息。
根据消息大小,可能您的网络无法赶上高负载?检查吞吐量是否不是瓶颈。

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