[SPARK-19809] NullPointerException on zero-size ORC file

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 1.6.3, 2.0.2, 2.1.1, 2.2.1
• Fix Version/s: 2.3.0
• Component/s: SQL
• Assignee: Dongjoon Hyun
• Reporter: Michał Dawid
• Created: 03/Mar/17 09:58
• Updated: 12/Dec/22 18:11
• Resolved: 13/Dec/17 06:42

Description

When reading from hive ORC table if there are some 0 byte files we get NullPointerException:

java.lang.NullPointerException
	at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$BISplitStrategy.getSplits(OrcInputFormat.java:560)
	at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.generateSplitsInfo(OrcInputFormat.java:1010)
	at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.getSplits(OrcInputFormat.java:1048)
	at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:199)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:242)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:240)
	at scala.Option.getOrElse(Option.scala:120)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:240)
	at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:242)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:240)
	at scala.Option.getOrElse(Option.scala:120)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:240)
	at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:242)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:240)
	at scala.Option.getOrElse(Option.scala:120)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:240)
	at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:66)
	at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:66)
	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.rdd.UnionRDD.getPartitions(UnionRDD.scala:66)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:242)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:240)
	at scala.Option.getOrElse(Option.scala:120)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:240)
	at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:242)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:240)
	at scala.Option.getOrElse(Option.scala:120)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:240)
	at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:190)
	at org.apache.spark.sql.execution.Limit.executeCollect(basicOperators.scala:165)
	at org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:174)
	at org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$execute$1$1.apply(DataFrame.scala:1499)
	at org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$execute$1$1.apply(DataFrame.scala:1499)
	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)
	at org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:2086)
	at org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$execute$1(DataFrame.scala:1498)
	at org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$collect(DataFrame.scala:1505)
	at org.apache.spark.sql.DataFrame$$anonfun$head$1.apply(DataFrame.scala:1375)
	at org.apache.spark.sql.DataFrame$$anonfun$head$1.apply(DataFrame.scala:1374)
	at org.apache.spark.sql.DataFrame.withCallback(DataFrame.scala:2099)
	at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1374)
	at org.apache.spark.sql.DataFrame.take(DataFrame.scala:1456)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:497)
	at org.apache.zeppelin.spark.ZeppelinContext.showDF(ZeppelinContext.java:209)
	at org.apache.zeppelin.spark.SparkSqlInterpreter.interpret(SparkSqlInterpreter.java:129)
	at org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:94)
	at org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:341)
	at org.apache.zeppelin.scheduler.Job.run(Job.java:176)
	at org.apache.zeppelin.scheduler.FIFOScheduler$1.run(FIFOScheduler.java:139)
	at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
	at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
	at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)

Issue Links

• blocks: SPARK-20901 Feature parity for ORC with Parquet
• is duplicated by: SPARK-19752 OrcGetSplits fails with 0 size files
• links to: [Github] Pull Request #19948 (dongjoon-hyun)
• links to: [Github] Pull Request #19960 (dongjoon-hyun)