Kafka 消费者在偏移量提交后无法读取所有消息（错误=OFFSET_OUT_OF_RANGE

Question

我创建了消费者来批量接收消息，消费者配置：

    allow.auto.create.topics = false
    auto.commit.interval.ms = 5000
    auto.offset.reset = latest
    bootstrap.servers = [localhost:9092]
    check.crcs = true
    client.dns.lookup = default
    client.id =
    client.rack =
    connections.max.idle.ms = 540000
    default.api.timeout.ms = 60000
    enable.auto.commit = false
    exclude.internal.topics = true
    fetch.max.bytes = 52428800
    fetch.max.wait.ms = 500
    fetch.min.bytes = 1
    group.id = cm-persistence-notification
    group.instance.id = null
    heartbeat.interval.ms = 3000
    interceptor.classes = []
    internal.leave.group.on.close = true
    isolation.level = read_uncommitted
    key.deserializer = class org.apache.kafka.common.serialization.StringDeserializer
    max.partition.fetch.bytes = 1048576
    max.poll.interval.ms = 300000
    max.poll.records = 1000
    metadata.max.age.ms = 300000
    metric.reporters = []
    metrics.num.samples = 2
    metrics.recording.level = INFO
    metrics.sample.window.ms = 30000
    partition.assignment.strategy = [class org.apache.kafka.clients.consumer.RangeAssignor]
    receive.buffer.bytes = 65536
    reconnect.backoff.max.ms = 1000
    reconnect.backoff.ms = 50
    request.timeout.ms = 30000
    retry.backoff.ms = 100
    sasl.client.callback.handler.class = null
    sasl.jaas.config = null
    sasl.kerberos.kinit.cmd = /usr/bin/kinit
    sasl.kerberos.min.time.before.relogin = 60000
    sasl.kerberos.service.name = null
    sasl.kerberos.ticket.renew.jitter = 0.05
    sasl.kerberos.ticket.renew.window.factor = 0.8
    sasl.login.callback.handler.class = null
    sasl.login.class = null
    sasl.login.refresh.buffer.seconds = 300
    sasl.login.refresh.min.period.seconds = 60
    sasl.login.refresh.window.factor = 0.8
    sasl.login.refresh.window.jitter = 0.05
    sasl.mechanism = GSSAPI
    security.protocol = PLAINTEXT
    send.buffer.bytes = 131072
    session.timeout.ms = 10000
    ssl.cipher.suites = null
    ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1]
    ssl.endpoint.identification.algorithm = https
    ssl.key.password = null
    ssl.keymanager.algorithm = SunX509
    ssl.keystore.location = null
    ssl.keystore.password = null
    ssl.keystore.type = JKS
    ssl.protocol = TLS
    ssl.provider = null
    ssl.secure.random.implementation = null
    ssl.trustmanager.algorithm = PKIX
    ssl.truststore.location = null
    ssl.truststore.password = null
    ssl.truststore.type = JKS
    value.deserializer = class org.apache.kafka.common.serialization.StringDeserializer

Spring 启动配置：

public KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<String, String>> cmPersistenceListenerContainerFactory(
        KafkaProperties kafkaProperties )
    {
        ConcurrentKafkaListenerContainerFactory<String, String> containerFactory =
            new ConcurrentKafkaListenerContainerFactory<>();

        Map<String, Object> consumerProperties = kafkaProperties.buildConsumerProperties();
        consumerProperties.put( ConsumerConfig.MAX_POLL_RECORDS_CONFIG, "1000" );
        consumerProperties.put( ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, false );
        consumerProperties.put( ConsumerConfig.ALLOW_AUTO_CREATE_TOPICS_CONFIG, false );

        containerFactory
            .setConsumerFactory(
                new DefaultKafkaConsumerFactory<>(
                    consumerProperties, new StringDeserializer(), new StringDeserializer() ) );
        containerFactory.setBatchListener( true );
       
        containerFactory.getContainerProperties().setCommitLogLevel(LogIfLevelEnabled.Level.INFO);
        
        containerFactory.getContainerProperties().setAckMode( AckMode.MANUAL_IMMEDIATE );
        
        return containerFactory;
    }


    @Bean
    public KafkaAdmin kafkaAdmin( KafkaProperties kafkaProperties )
    {
        return new KafkaAdmin( kafkaProperties.buildAdminProperties() );
    }

听众Class：

@KafkaListener( id = "batch-listener-0", topics = "topic1", groupId = "test", containerFactory = KafkaConsumerConfiguration.CONTAINER_FACTORY_NAME )
    public void receive(
        @Payload List<String> messages,
        @Header( KafkaHeaders.RECEIVED_MESSAGE_KEY ) List<String> keys,
        @Header( KafkaHeaders.RECEIVED_PARTITION_ID ) List<Integer> partitions,
        @Header( KafkaHeaders.RECEIVED_TOPIC ) List<String> topics,
        @Header( KafkaHeaders.OFFSET ) List<Long> offsets,
        Acknowledgment ack )
    {
        long startTime = System.currentTimeMillis();

        handleNotifications( messages ); // will take more than 5s to process all messages

        long endTime = System.currentTimeMillis();

        long timeElapsed = endTime - startTime;

        LOGGER.info( "Execution Time :{}", timeElapsed );

        ack.acknowledge();

        
        LOGGER.info( "Acknowledgment Success" );

    }

我在处理消息后使用手动确认。

我找到了一些调试日志：

在上面的调试日志中，****获取偏移量发生在偏移量提交之前，该偏移量未提交所以它返回 OFFSET_OUT_OF_RANGE，消费者在那之后无法收到任何消息，是否有任何在消费者代码中处理此错误的方法或如何仅在提交后获取偏移量 ****

Answer 1

得到答案：

分区日志文件正在删除一些，但消费者仍在寻找已删除的日志文件，

Kafka 消费者在偏移量提交后无法读取所有消息（错误=OFFSET_OUT_OF_RANGE

Kafka Consumer not able to read all message after offset commit (error=OFFSET_OUT_OF_RANGE

apache-kafka

spring-boot

kafka-consumer-api

kafka-producer-api

spring-kafka