Spark流中的空RDD批次

Question

我已经用scala实现了Spark Streaming，它从远程RabbitMq接收返回Json字符串记录的数据。 SPARK总是返回空的RDD。...

• 我在RabbitMQ中创建了队列（耐用）

• 通过Java App发送Json文件，该文件可迭代文件行并通过“ channel.basicPublish（）”函数发送字符串

• 在Scala中：

     val sparkConfig = new SparkConf()
            .setAppName("AppName")
            .setIfMissing("spark.master", "local[*]")
            .set("spark.driver.allowMultipleContexts","true")
            .set("spark.dynamicAllocation.enabled","false")
  
      val ssc =  new StreamingContext(sparkConfig, Seconds(3))
      val sc = SparkContext
  
     val receiverStream = RabbitMQUtils.createStream(ssc, Map(
         "hosts" -> host,
         "queueName" -> queueName,
         "userName" -> userName,
         "password" -> password
        ))
  
  receiverStream.start()
  
   receiverStream.foreachRDD(rdd => {
    val spark = SparkSession.builder.config(rdd.sparkContext.getConf)
      .getOrCreate()
  
   import spark.implicits._
  
    if (!rdd.isEmpty()) {
      val Count = rdd.count()
      println("count is " + Count)
        }
     }
  

代码成功与RabbitMQ连接，但收到空的RDD吗？