scala - 创建Kafka流的AbstractMethodError

Question

我正在尝试使用createDirectStream方法打开一个Kafka（试用版0.11.0.2和1.0.1）流，并收到以下AbstractMethodError错误：

Exception in thread "main" java.lang.AbstractMethodError
    at org.apache.spark.internal.Logging$class.initializeLogIfNecessary(Logging.scala:99)
    at org.apache.spark.streaming.kafka010.KafkaUtils$.initializeLogIfNecessary(KafkaUtils.scala:39)
    at org.apache.spark.internal.Logging$class.log(Logging.scala:46)
    at org.apache.spark.streaming.kafka010.KafkaUtils$.log(KafkaUtils.scala:39)
    at org.apache.spark.internal.Logging$class.logWarning(Logging.scala:66)
    at org.apache.spark.streaming.kafka010.KafkaUtils$.logWarning(KafkaUtils.scala:39)
    at org.apache.spark.streaming.kafka010.KafkaUtils$.fixKafkaParams(KafkaUtils.scala:201)
    at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.<init>(DirectKafkaInputDStream.scala:63)
    at org.apache.spark.streaming.kafka010.KafkaUtils$.createDirectStream(KafkaUtils.scala:147)
    at org.apache.spark.streaming.kafka010.KafkaUtils$.createDirectStream(KafkaUtils.scala:124)

这就是我所说的：

val preferredHosts = LocationStrategies.PreferConsistent
    val kafkaParams = Map(
      "bootstrap.servers" -> "localhost:9092",
      "key.deserializer" -> classOf[IntegerDeserializer],
      "value.deserializer" -> classOf[StringDeserializer],
      "group.id" -> groupId,
      "auto.offset.reset" -> "earliest"
    )

    val aCreatedStream = createDirectStream[String, String](ssc, preferredHosts,
      ConsumerStrategies.Subscribe[String, String](topics, kafkaParams))

我让Kafka运行在9092上，并且我能够创建生产者和消费者，并在他们之间传递消息，所以不确定为什么它不能从Scala代码中使用。任何想法表示赞赏。

Answer 1

原来我使用的是Spark 2.3，而我应该使用的是Spark 2.2。显然，该方法在以后的版本中被抽象化了，所以我遇到了这个错误。