引起原因:java.lang.ClassNotFoundException:org.apache.hadoop.hive.hbase.HiveHBaseTableInputFormat

时间:2019-05-04 12:36:51

标签: scala apache-spark hive hdfs hbase

我正在使用sparklauncher启动spark应用程序。在spark应用程序中,我将数据插入到hive表中,并在联接查询中使用一些hbase-hive链接表。我已经在火花启动器中添加了hive-hbase-handler-1.1.0-cdh5.13.0.jar,但我仍在获取原因:java.lang.ClassNotFoundException:org.apache.hadoop.hive.hbase.HiveHBaseTableTableInputFormat我已经添加了jar在sparklauncher错误中:

def launch(hdfsFilePath:String):Unit={
    println("Inside ApplicationLauncher")
    val command = new SparkLauncher()
      .setAppResource("/home/cloudera/Desktop/Avi/LiveProjects/MusicDataAnalysis/target/scala-2.11/musicdataanalysis_2.11-0.1.jar")
      .setMainClass("ParseInputFile")
      .setVerbose(false)
      .addAppArgs(hdfsFilePath)
      .setMaster("local")
      .addJar("/home/cloudera/Desktop/Avi/jars/hive-hbase-handler-1.1.0-cdh5.13.0.jar")
      .addJar("/home/cloudera/Desktop/Avi/jars/spark-xml_2.11-0.5.0.jar")

    println("Done with Spark Launcher")
    val appHandle = command.startApplication()
    appHandle.addListener(new SparkAppHandle.Listener{
      def infoChanged(sparkAppHandle : SparkAppHandle) : Unit = {
      //  println(sparkAppHandle.getState + "  Custom Print")
      }

      def stateChanged(sparkAppHandle : SparkAppHandle) : Unit = {
        println(sparkAppHandle.getState)
        if ("FINISHED".equals(sparkAppHandle.getState.toString)){
          sparkAppHandle.stop
        }
      }
    })

1 个答案:

答案 0 :(得分:0)

当我将hbase-0.92.1.jar和hive-hbase-handler-1.1.0-cdh5.13.0.jar一起添加时,我的问题得到解决。请找到以下工作代码:

def launch(hdfsFilePath:String):Unit={
println("Inside ApplicationLauncher")
val command = new SparkLauncher()
  .setAppResource("/home/cloudera/Desktop/Avi/LiveProjects/MusicDataAnalysis/target/scala-2.11/musicdataanalysis_2.11-0.1.jar")
  .setMainClass("ParseInputFile")
  .setVerbose(false)
  .addAppArgs(hdfsFilePath)
  .setMaster("local")
  .addJar("file:///home/cloudera/Desktop/Avi/jars/hbase-0.92.1.jar")
  .addJar("file:///home/cloudera/Desktop/Avi/jars/hive-hbase-handler-3.1.1.jar")
  .addJar("file:///home/cloudera/Desktop/Avi/jars/spark-xml_2.11-0.5.0.jar")
println("Done with Spark Launcher")
val appHandle = command.startApplication()
appHandle.addListener(new SparkAppHandle.Listener{
  def infoChanged(sparkAppHandle : SparkAppHandle) : Unit = {
  //  println(sparkAppHandle.getState + "  Custom Print")
  }

  def stateChanged(sparkAppHandle : SparkAppHandle) : Unit = {
    println(sparkAppHandle.getState)
    if ("FINISHED".equals(sparkAppHandle.getState.toString)){
      sparkAppHandle.stop
    }
  }
})

}