Scala 原因：java.lang.ArrayIndexOutOfBoundsException火花flatMap

相关代码如下：

val cateList = featureData.map{
  case (psid: String, label: String, cate_features: ParArray[String], media_features: String) =>
      val pair_feature = cate_features.zipWithIndex.map(x => (x._2, x._1))
      pair_feature
}.flatMap(_.toList)

平面图有错，怎么了？哪里有问题

完整错误信息：

val cateList = featureData.map{
  case (psid: String, label: String, cate_features: ParArray[String], media_features: String) =>
      val pair_feature = cate_features.zipWithIndex.map(x => (x._2, x._1))
      pair_feature
}.flatMap(_.toList)

它主要发布错误java.lang.ArrayIndexOutOfBoundsException。我想有个地方可以去参观。我不熟悉scala。欢迎任何帮助。tks

17/01/23 12:23:08 INFO scheduler.TaskSetManager: Lost task 29.3 in stage 0.0 (TID 53) on executor 10.39.2.232: java.lang.ArrayIndexOutOfBoundsException (3) [duplicate 9]
17/01/23 12:23:08 ERROR scheduler.TaskSetManager: Task 29 in stage 0.0 failed 4 times; aborting job 
17/01/23 12:23:08 INFO cluster.YarnScheduler: Cancelling stage 0
17/01/23 12:23:08 INFO cluster.YarnScheduler: Stage 0 was cancelled
17/01/23 12:23:08 INFO scheduler.DAGScheduler: ShuffleMapStage 0 (flatMap at ETL.scala:132) failed in 27.635 s
17/01/23 12:23:08 INFO scheduler.DAGScheduler: Job 0 failed: reduce at ETL.scala:205, took 27.763709 s
Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 29 in stage 0.0 failed 4 times, most recent failure: Lost task 29.3 in stage 0.0 (TID 53, 10.39.2.232): java.lang.ArrayIndexOutOfBoundsException: 3    at com.sina.adalgo.feature.ETL$$anonfun$11$$anonfun$13.apply(ETL.scala:111)
at com.sina.adalgo.feature.ETL$$anonfun$11$$anonfun$13.apply(ETL.scala:111)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
at org.apache.spark.storage.MemoryStore.unrollSafely(MemoryStore.scala:283)
at org.apache.spark.CacheManager.putInBlockManager(CacheManager.scala:171)
at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:78)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:268)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)

Spark UI错误信息

我发布如下：

---

在不知道代码的更多细节的情况下，我发现了两个可能的地方

首先是

featureData

的模式匹配。在进行映射时，您尝试匹配模式

（psid:String，label:String，cate\u features:ParArray[String]，media\u features:String）

，但未能处理与模式不匹配的模式

---

其次是

toList

方法。我想这是API中的一个方法。你能试试这个吗：

flatMap（x=>List（x.\u 1，x.\u 2））

-我在飞行中写的，没有测试。

请发布完整的错误输出。错误到底在哪里？为什么您认为这段代码会导致错误？我没有看到任何可能导致它的东西。spark ui信息已发布，显示了一些错误。thksCan您是否尝试不使用

ParArray

并在失败时运行测试？这是第一种模式，因为存在脏数据。tks