spark和kafka的集成,Spark中的异常-提交jar

时间:2019-06-14 18:29:12

标签: java apache-spark hadoop

提交 jar 文件时 NullPointerException ,该文件将kafka与ubuntu下的spark集成。我正在尝试在https://github.com/apache/spark/tree/v2.1.1/examples

上运行代码

我试图检查在 Ubuntu 下安装spark是否需要设置 HADOOP_HOME ;但是,未设置HADOOP_HOME,请仔细检查jar的参数。

./bin/spark-submit --class "org.apache.spark.examples.streaming.JavaKafkaWordCount" --packages org.apache.spark:spark-streaming-kafka-0-10_2.11:2.1.0 --master local[*] --jars ~/software/JavaKafkaWordCount.jar localhost:2181 test-consumer-group streams-plaintext-input 1

  

线程“ main”中的异常java.lang.NullPointerException在   org.apache.hadoop.fs.Path.getName(Path.java:337)在   org.apache.spark.deploy.DependencyUtils $ .downloadFile(DependencyUtils.scala:136)     在   org.apache.spark.deploy.SparkSubmit $$ anonfun $ prepareSubmitEnvironment $ 7.apply(SparkSubmit.scala:367)     在   org.apache.spark.deploy.SparkSubmit $$ anonfun $ prepareSubmitEnvironment $ 7.apply(SparkSubmit.scala:367)     在scala.Option.map(Option.scala:146)在   org.apache.spark.deploy.SparkSubmit.prepareSubmitEnvironment(SparkSubmit.scala:366)     在org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:143)     在org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)     在   org.apache.spark.deploy.SparkSubmit $$ anon $ 2.doSubmit(SparkSubmit.scala:924)     在org.apache.spark.deploy.SparkSubmit $ .main(SparkSubmit.scala:933)     在org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

1 个答案:

答案 0 :(得分:2)

您的路径uri jar无法理解,请参见this DependencyUtils.scala#L136

 /**
   * Download a file from the remote to a local temporary directory. If the input path points to
   * a local path, returns it with no operation.
   *
   * @param path A file path from where the files will be downloaded.
   * @param targetDir A temporary directory for which downloaded files.
   * @param sparkConf Spark configuration.
   * @param hadoopConf Hadoop configuration.
   * @param secMgr Spark security manager.
   * @return Path to the local file.
   */
  def downloadFile(
      path: String,
      targetDir: File,
      sparkConf: SparkConf,
      hadoopConf: Configuration,
      secMgr: SecurityManager): String = {
    require(path != null, "path cannot be null.")
    val uri = Utils.resolveURI(path)

    uri.getScheme match {
      case "file" | "local" => path
      case "http" | "https" | "ftp" if Utils.isTesting =>
        // This is only used for SparkSubmitSuite unit test. Instead of downloading file remotely,
        // return a dummy local path instead.
        val file = new File(uri.getPath)
        new File(targetDir, file.getName).toURI.toString
      case _ =>
        val fname = new Path(uri).getName()
        val localFile = Utils.doFetchFile(uri.toString(), targetDir, fname, sparkConf, secMgr,
          hadoopConf)
        localFile.toURI().toString()
    }
  }

在提交火花时,像这样更改args

--jars /fullpath/JavaKafkaWordCount.jar而不是--jars ~/software/JavaKafkaWordCount.jar