Spring Kafka不重试未提交的偏移量

时间:2019-04-11 15:17:49

标签: apache-kafka spring-kafka

如何停止spring kafka不要重试未读的主题消息。例如,我杀死了应用程序,然后重新启动它,我的使用者开始使用未使用的消息。我该如何预防?

@Bean
public ConsumerFactory<String, String> manualConsumerFactory() {
    Map<String, Object> configs = consumerConfigs();
    configs.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, false);
    configs.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
    return new DefaultKafkaConsumerFactory<>(configs);
}

/**
 * Kafka manual ack listener container factory kafka listener container factory.
 *
 * @return the kafka listener container factory
 */
@Bean
public KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<String, String>> kafkaManualAckListenerContainerFactory() {
    ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
    factory.setConsumerFactory(manualConsumerFactory());
    ContainerProperties props = factory.getContainerProperties();
    props.setAckMode(ContainerProperties.AckMode.MANUAL_IMMEDIATE);
    return factory;
}

@Override
@EventListener
public void processSettlementFile(final Notification notification) {
    LOG.info("Handling message [{}]", notification);


    try {
        final Map<String, JobParameter> parameters = new HashMap<>();
        parameters.put("fileName", new JobParameter("1-101-D-2017-212-volume-per-transaction.csv"));
        parameters.put("bucket", new JobParameter("bucket-name-can-be-passed-also-from-kafka-todo"));
        final JobParameters jobParameters = new JobParameters(parameters);

        final JobExecution execution = jobLauncher.run(succeededTransactionCsvFileToDatabaseJob, jobParameters);
        LOG.info("Job Execution Status: " + execution.getStatus());
    } catch (JobExecutionAlreadyRunningException | JobRestartException | JobInstanceAlreadyCompleteException | JobParametersInvalidException e) {
        LOG.error("Failed to process job..", e);
    }
}

@KafkaListener(topics = "topic", groupId = "processor-service", clientIdPrefix = "string", containerFactory = "kafkaManualAckListenerContainerFactory")
public void listenAsString(@Payload final String payload, Acknowledgment acknowledgment, final ConsumerRecord<String, String> consumerRecord) throws TopicEventException {

    applicationEventPublisher.publishEvent(object);
    acknowledgment.acknowledge();
}

1 个答案:

答案 0 :(得分:1)

您可以在容器配置中添加ConsumerAwareRebalanceListener,然后在consumer.seekToEnd(partitions)中调用onPartitionsAssigned()