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Apache Spark commented on SPARK-10304: -------------------------------------- User 'viirya' has created a pull request for this issue: https://github.com/apache/spark/pull/8840 > Partition discovery does not throw an exception if the dir structure is > invalid > ------------------------------------------------------------------------------- > > Key: SPARK-10304 > URL: https://issues.apache.org/jira/browse/SPARK-10304 > Project: Spark > Issue Type: Bug > Components: SQL > Reporter: Yin Huai > Assignee: Zhan Zhang > Priority: Critical > > I have a dir structure like {{/path/table1/partition_column=1/}}. When I try > to use {{load("/path/")}}, it works and I get a DF. When I query this DF, if > it is stored as ORC, there will be the following NPE. But, if it is Parquet, > we even can return rows. We should complain to users about the dir struct > because {{table1}} does not meet our format. > {code} > org.apache.spark.SparkException: Job aborted due to stage failure: Task 26 in > stage 57.0 failed 4 times, most recent failure: Lost task 26.3 in stage 57.0 > (TID 3504, 10.0.195.227): java.lang.NullPointerException > at > org.apache.spark.sql.hive.HiveInspectors$class.unwrapperFor(HiveInspectors.scala:466) > at > org.apache.spark.sql.hive.orc.OrcTableScan.unwrapperFor(OrcRelation.scala:224) > at > org.apache.spark.sql.hive.orc.OrcTableScan$$anonfun$org$apache$spark$sql$hive$orc$OrcTableScan$$fillObject$1$$anonfun$9.apply(OrcRelation.scala:261) > at > org.apache.spark.sql.hive.orc.OrcTableScan$$anonfun$org$apache$spark$sql$hive$orc$OrcTableScan$$fillObject$1$$anonfun$9.apply(OrcRelation.scala:261) > 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$$anonfun$org$apache$spark$sql$hive$orc$OrcTableScan$$fillObject$1.apply(OrcRelation.scala:261) > at > org.apache.spark.sql.hive.orc.OrcTableScan$$anonfun$org$apache$spark$sql$hive$orc$OrcTableScan$$fillObject$1.apply(OrcRelation.scala:256) > at scala.Option.map(Option.scala:145) > at > org.apache.spark.sql.hive.orc.OrcTableScan.org$apache$spark$sql$hive$orc$OrcTableScan$$fillObject(OrcRelation.scala:256) > at > org.apache.spark.sql.hive.orc.OrcTableScan$$anonfun$execute$3.apply(OrcRelation.scala:318) > at > org.apache.spark.sql.hive.orc.OrcTableScan$$anonfun$execute$3.apply(OrcRelation.scala:316) > at > org.apache.spark.rdd.HadoopRDD$HadoopMapPartitionsWithSplitRDD.compute(HadoopRDD.scala:380) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org