我是Spark的新手,在Windows机器中安装了Spark,并在spark-shell中执行spark命令。创建了简单的RDD
,但没有找到。文字出现的次数。这是我的代码块。导致FileNotFound Exception
。
scala> val inputrdd = sc.parallelize{ Seq("a", "b", "c", "d","a","a") }
inputrdd: org.apache.spark.rdd.RDD[String] = ParallelCollectionRDD[70] at parallelize at <console>:24
scala> inputrdd.count
res102: Long = 6
scala> inputrdd.first
res103: String = a
scala>
scala> inputrdd.countByValue()
2018-09-26 19:32:03 ERROR Executor:91 - Exception in task 5.0 in stage 72.0 (TID 113)
java.io.FileNotFoundException: C:\Users\hadoop\AppData\Local\Temp\blockmgr-910b1c57-9f3a-4dea-a80b-701ad0a32ead\1f\shuffle_6_5_0.data.6bac0b0d-93a6-4b57-a1d6-8dbe379c264f (The system cannot find the path specified)
at java.io.FileOutputStream.open0(Native Method)
at java.io.FileOutputStream.open(FileOutputStream.java:270)
at java.io.FileOutputStream.<init>(FileOutputStream.java:213)
at org.apache.spark.storage.DiskBlockObjectWriter.initialize(DiskBlockObjectWriter.scala:103)
at org.apache.spark.storage.DiskBlockObjectWriter.open(DiskBlockObjectWriter.scala:116)
at org.apache.spark.storage.DiskBlockObjectWriter.write(DiskBlockObjectWriter.scala:237)
at org.apache.spark.util.collection.WritablePartitionedPairCollection$$anon$1.writeNext(WritablePartitionedPairCollection.scala:56)
at org.apache.spark.util.collection.ExternalSorter.writePartitionedFile(ExternalSorter.scala:699)
at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:72)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
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)
答案 0 :(得分:0)
您需要从头开始重新运行相同的代码,它可以正常工作。
原因:C:\Users\hadoop\AppData\Local\Temp\blockmgr-910b1c57-9f3a-4dea-a80b-701ad0a32ead
被删除。它存储数据帧在运行时保存并丢失的临时数据。