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我在 Spark 中读取了许多 ORC 文件并对其进行处理，这些文件基本上是 Hive 分区。大多数时候处理进展顺利，但对于少数文件，我得到以下异常，不知道为什么？这些文件在使用 Hive 查询的 Hive 中运行良好。

DataFrame df = hiveContext.read().format("orc").load("/path/in/hdfs");

java.lang.NullPointerException
    at org.apache.spark.sql.hive.HiveInspectors$class.unwrapperFor(HiveInspectors.scala:402)
    at org.apache.spark.sql.hive.orc.OrcTableScan.unwrapperFor(OrcRelation.scala:206)
    at org.apache.spark.sql.hive.orc.OrcTableScan$$anonfun$8.apply(OrcRelation.scala:238)
    at org.apache.spark.sql.hive.orc.OrcTableScan$$anonfun$8.apply(OrcRelation.scala:238)
    at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
    at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
    at scala.collection.immutable.List.foreach(List.scala:318)
    at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
    at scala.collection.AbstractTraversable.map(Traversable.scala:105)
    at org.apache.spark.sql.hive.orc.OrcTableScan.org$apache$spark$sql$hive$orc$OrcTableScan$$fillObject(OrcRelation.scala:238)
    at org.apache.spark.sql.hive.orc.OrcTableScan$$anonfun$execute$3.apply(OrcRelation.scala:290)
    at org.apache.spark.sql.hive.orc.OrcTableScan$$anonfun$execute$3.apply(OrcRelation.scala:288)
    at org.apache.spark.rdd.HadoopRDD$HadoopMapPartitionsWithSplitRDD.compute(HadoopRDD.scala:380)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
    at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:87)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
    at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:242)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
    at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
    at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
    at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
    at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
    at org.apache.spark.scheduler.Task.run(Task.scala:70)
    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:744)
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3 回答 3

1

当不遵循 spark 的目录结构时，您会收到此错误。考虑一个名为 partitionedtable 的表，它在 partitionCol1、partitionCol2、partitionCol3 上进行分区

hdfs dfs -ls /path/in/hdfs/partitionedtable/

/path/in/hdfs/partitionedtable/partitionCol1=1/partitionCol2=11/partitionCol3=111/part-00000

/path/in/hdfs/partitionedtable/partitionCol1=2/partitionCol2=22/partitionCol3=222/part-00001

/path/in/hdfs/partitionedtable/partitionCol1=3/ --> 这个没有任何数据。

参考： https ://issues.apache.org/jira/browse/SPARK-10304

于 2017-08-31T06:30:19.063 回答
0

我在 Spark 1.6.1 上遇到了同样的错误。还没有找到问题的根源，但是第一个发现是只有一些 hive 分区没有返回数据（尽管它们可以工作并且使用 hive 本身可以很好地返回）。这意味着如果您删除分区过滤器，或者查询另一个表，一切看起来都很好。

于 2016-12-22T21:54:12.090 回答
0

NullPointerException 始终是一个错误。不在您的代码中，而是在您正在使用的 java 程序中。所以用 apache spark 提交一个错误。

于 2015-11-10T14:23:18.903 回答