[jira] [Created] (SPARK-1797) streaming on hdfs can detected all new file, but the sum of all the rdd.count() not equals which had detected

["QingFeng Zhang (JIRA)" <ji...@apache.org>]

QingFeng Zhang created SPARK-1797:
-------------------------------------

             Summary: streaming on hdfs can detected all new file, but the sum of all the rdd.count() not equals which had detected
                 Key: SPARK-1797
                 URL: https://issues.apache.org/jira/browse/SPARK-1797
             Project: Spark
          Issue Type: Bug
    Affects Versions: 0.9.0
         Environment: spark0.9.0,hadoop2.3.0,1 Master,5 Slaves.
            Reporter: QingFeng Zhang


when I put 200 png files to Hdfs , I found sparkStreaming counld detect 200 files , but the sum of rdd.count() is less than 200, always  between 130 and 170, I don't know why...Is this a Bug?
PS: When I put 200 files in hdfs before streaming run , It get the correct count and right result.

  def main(args: Array[String]) {

    val conf = new SparkConf().setMaster(SparkURL)
      .setAppName("QimageStreaming-broadcast")
      .setSparkHome(System.getenv("SPARK_HOME"))
      .setJars(SparkContext.jarOfClass(this.getClass()))

    conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
    conf.set("spark.kryo.registrator", "qing.hdu.Image.MyRegistrator")
    conf.set("spark.kryoserializer.buffer.mb", "10"); 

    val ssc = new StreamingContext(conf, Seconds(2))

    val inputFormatClass = classOf[QimageInputFormat[Text, Qimage]]
    val outputFormatClass = classOf[QimageOutputFormat[Text, Qimage]]

    val input_path = HdfsURL + "/Qimage/input"
    val output_path = HdfsURL + "/Qimage/output/"
    val bg_path = HdfsURL + "/Qimage/bg/"

    val bg = ssc.sparkContext.newAPIHadoopFile[Text, Qimage, QimageInputFormat[Text, Qimage]](bg_path)
    val bbg = bg.map(data => (data._1.toString(), data._2))
    val broadcastbg = ssc.sparkContext.broadcast(bbg)
    val file = ssc.fileStream[Text, Qimage, QimageInputFormat[Text, Qimage]](input_path)

    val qingbg = broadcastbg.value.collectAsMap
    val foreachFunc = (rdd: RDD[(Text, Qimage)], time: Time) => {
     val rddnum = rdd.count
      System.out.println("\n\n"+ "rddnum is " + rddnum + "\n\n")
      if (rddnum > 0) {
        System.out.println("here is foreachFunc")
        val a = rdd.keys
        val b = a.first
        val cbg = qingbg.get(getbgID(b)).getOrElse(new Qimage)

        rdd.map(data => (data._1, (new QimageProc(data._1, data._2)).koutu(cbg)))
          .saveAsNewAPIHadoopFile(output_path, classOf[Text], classOf[Qimage], outputFormatClass)
      }

    }

    file.foreachRDD(foreachFunc)
    ssc.start()
    ssc.awaitTermination()
  }



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