embeddedkafka即使设置了配置值也会引发recordtoolargeexception

xxls0lw8  于 2021-06-08  发布在  Kafka
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我正在尝试将kafka的默认消息大小从1mb增加到10mb。我正在用embeddedkafka和scalatest测试我的新配置,但它不起作用。
使用这个答案,我相应地增加了配置值:
经纪人:
message.max.bytes replica.fetch.max.bytes 消费者: max.partition.fetch.bytes 制作人: max.request.size 我的代码:

val broker = s"localhost:${kafkaConfig.kafkaPort}"
  val maxSize: String = (ConsumerConfig.DEFAULT_MAX_PARTITION_FETCH_BYTES * 10).toString // 10MiB

  val embeddedBrokerConfig = Map(
    "message.max.bytes" -> maxSize,
    "replica.fetch.max.bytes" -> maxSize
  )

  val embeddedConsumerConfig = Map[String, String](
    ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG -> broker,
    ConsumerConfig.GROUP_ID_CONFIG -> consumerGroup,
    ConsumerConfig.AUTO_OFFSET_RESET_CONFIG -> "earliest",
    ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG -> "false",
    ConsumerConfig.MAX_PARTITION_FETCH_BYTES_CONFIG -> maxSize
  )

  val embeddedProducerConfig = Map[String, String](
    ProducerConfig.BOOTSTRAP_SERVERS_CONFIG -> broker,
    ProducerConfig.MAX_REQUEST_SIZE_CONFIG -> maxSize
  )

  val bigKafkaConfig =
    EmbeddedKafkaConfig(
      kafkaConfig.kafkaPort,
      kafkaConfig.zooKeeperPort,
      customBrokerProperties = embeddedBrokerConfig,
      customConsumerProperties = embeddedConsumerConfig,
      customProducerProperties = embeddedProducerConfig
    )

  val bigMessage =  ("H" * 999999).getBytes()

  EmbeddedKafka.publishToKafka(inTopic, bigMessage)(bigKafkaConfig, valueSerializer)

当我用一个只有999999字节(低于1mb)的消息运行此代码时,我得到以下错误:

Caused by: java.util.concurrent.ExecutionException: org.apache.kafka.common.errors.RecordTooLargeException: The request included a message larger than the max message size the server will accept.
at org.apache.kafka.clients.producer.internals.FutureRecordMetadata.valueOrError(FutureRecordMetadata.java:94)
at org.apache.kafka.clients.producer.internals.FutureRecordMetadata.get(FutureRecordMetadata.java:77)
at org.apache.kafka.clients.producer.internals.FutureRecordMetadata.get(FutureRecordMetadata.java:29)
at net.manub.embeddedkafka.EmbeddedKafkaSupport.$anonfun$publishToKafka$7(EmbeddedKafka.scala:276)
at scala.util.Try$.apply(Try.scala:209)
at net.manub.embeddedkafka.EmbeddedKafkaSupport.publishToKafka(EmbeddedKafka.scala:276)

这是嵌入Kafka中的一个bug吗?还是我的应用程序配置错误?

wn9m85ua

wn9m85ua1#

我发现了问题所在。这是由于 EmbeddedKafka .
有一个 beforeAll 在使用默认配置进行测试之前启动embeddedkafka的语句。 EmbeddedKafka.start 需要更新的代理设置,并在 EmbeddedKafka 已经开始什么都不做了。

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