Mac下.rtf文件中String转化Int失败

最新推荐文章于 2018-11-13 18:20:54 发布

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本文介绍了一个使用Apache Spark处理RTF文件时遇到的问题，由于文件格式导致无法正确转换为整数，从而引发NumberFormatException异常。文章提供了详细的错误信息，并提出了解决方案：使用纯文本文件代替RTF文件。

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问题：在macOS下进行spark作业：输出文件中最大及最小数
文件结构如下：


代码如下：
import org.apache.spark.{SparkConf, SparkContext}

object MaxAndMin {
  def main(args: Array[String]): Unit = {
    val sparkConf = new SparkConf().setMaster("local").setAppName("MaxAndMin")
    val sc = new SparkContext(sparkConf)
    sc.setLogLevel("ERROR")

    val lines = sc.textFile("hdfs://localhost:9000/b.txt")//此处为b.rtf时报错
    val result = lines.filter(_.trim.length>0).
      map(line => ("key",line.trim.toInt)).//此处报错
      groupByKey().
      map(x => {
        var max = Integer.MIN_VALUE
        var min = Integer.MAX_VALUE
        for(num <- x._2) {
          if(num > max)
            max = num
          if(num < min)
            min = num
        }
        (max,min)
      }).collect.foreach(x => {
      println("max:\t" + x._1)
      println("min:\t" + x._2)
    })

  }
}

异常信息：

ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
java.lang.NumberFormatException: For input string: "{\rtf1\ansi\ansicpg936\cocoartf1561\cocoasubrtf400"
	at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
	at java.lang.Integer.parseInt(Integer.java:580)
	at java.lang.Integer.parseInt(Integer.java:615)
	at scala.collection.immutable.StringLike$class.toInt(StringLike.scala:272)
	at scala.collection.immutable.StringOps.toInt(StringOps.scala:29)
	at MaxAndMin$$anonfun$2.apply(MaxAndMin.scala:11)
	at MaxAndMin$$anonfun$2.apply(MaxAndMin.scala:11)
	at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
	at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:150)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
	at org.apache.spark.scheduler.Task.run(Task.scala:99)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)
18/06/23 22:27:48 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job
Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost, executor driver): java.lang.NumberFormatException: For input string: "{\rtf1\ansi\ansicpg936\cocoartf1561\cocoasubrtf400"
	at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
	at java.lang.Integer.parseInt(Integer.java:580)
	at java.lang.Integer.parseInt(Integer.java:615)
	at scala.collection.immutable.StringLike$class.toInt(StringLike.scala:272)
	at scala.collection.immutable.StringOps.toInt(StringOps.scala:29)
	at MaxAndMin$$anonfun$2.apply(MaxAndMin.scala:11)
	at MaxAndMin$$anonfun$2.apply(MaxAndMin.scala:11)
	at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
	at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:150)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
	at org.apache.spark.scheduler.Task.run(Task.scala:99)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)

Driver stacktrace:
	at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)
	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
	at scala.Option.foreach(Option.scala:257)
	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
	at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
	at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1918)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1931)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1944)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:1958)
	at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:935)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
	at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
	at org.apache.spark.rdd.RDD.collect(RDD.scala:934)
	at MaxAndMin$.main(MaxAndMin.scala:23)
	at MaxAndMin.main(MaxAndMin.scala)
Caused by: java.lang.NumberFormatException: For input string: "{\rtf1\ansi\ansicpg936\cocoartf1561\cocoasubrtf400"
	at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
	at java.lang.Integer.parseInt(Integer.java:580)
	at java.lang.Integer.parseInt(Integer.java:615)
	at scala.collection.immutable.StringLike$class.toInt(StringLike.scala:272)
	at scala.collection.immutable.StringOps.toInt(StringOps.scala:29)
	at MaxAndMin$$anonfun$2.apply(MaxAndMin.scala:11)
	at MaxAndMin$$anonfun$2.apply(MaxAndMin.scala:11)
	at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
	at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:150)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
	at org.apache.spark.scheduler.Task.run(Task.scala:99)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)

可以看到，第十一行的