Details
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Bug
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Status: Resolved
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Major
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Resolution: Later
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2.4.0, 2.4.1, 2.4.2, 2.4.3, 2.4.4, 2.4.5
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None
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None
Description
On reading the attached ORC file which contains null value in nested field, there is such exception:
scala> spark.read.orc("/tmp/files/").show() 20/03/06 19:01:34 ERROR Executor: Exception in task 0.0 in stage 1.0 (TID 1) java.lang.ArrayIndexOutOfBoundsException: 4 at org.apache.orc.mapred.OrcStruct.getFieldValue(OrcStruct.java:49) at org.apache.spark.sql.execution.datasources.orc.OrcDeserializer$$anonfun$org$apache$spark$sql$execution$datasources$orc$OrcDeserializer$$newWriter$14.apply(OrcDeserializer.scala:133) at org.apache.spark.sql.execution.datasources.orc.OrcDeserializer$$anonfun$org$apache$spark$sql$execution$datasources$orc$OrcDeserializer$$newWriter$14.apply(OrcDeserializer.scala:123) at org.apache.spark.sql.execution.datasources.orc.OrcDeserializer$$anonfun$2$$anonfun$apply$1.apply(OrcDeserializer.scala:51) at org.apache.spark.sql.execution.datasources.orc.OrcDeserializer$$anonfun$2$$anonfun$apply$1.apply(OrcDeserializer.scala:51) at org.apache.spark.sql.execution.datasources.orc.OrcDeserializer.deserialize(OrcDeserializer.scala:64) at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat$$anonfun$buildReaderWithPartitionValues$2$$anonfun$apply$8.apply(OrcFileFormat.scala:234) at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat$$anonfun$buildReaderWithPartitionValues$2$$anonfun$apply$8.apply(OrcFileFormat.scala:233) at scala.collection.Iterator$$anon$11.next(Iterator.scala:410) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.next(FileScanRDD.scala:104) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:255) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:858) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:858) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346) at org.apache.spark.rdd.RDD.iterator(RDD.scala:310) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346) at org.apache.spark.rdd.RDD.iterator(RDD.scala:310) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:123) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) 20/03/06 19:01:34 WARN TaskSetManager: Lost task 0.0 in stage 1.0 (TID 1, localhost, executor driver): java.lang.ArrayIndexOutOfBoundsException: 4 at org.apache.orc.mapred.OrcStruct.getFieldValue(OrcStruct.java:49) at org.apache.spark.sql.execution.datasources.orc.OrcDeserializer$$anonfun$org$apache$spark$sql$execution$datasources$orc$OrcDeserializer$$newWriter$14.apply(OrcDeserializer.scala:133) at org.apache.spark.sql.execution.datasources.orc.OrcDeserializer$$anonfun$org$apache$spark$sql$execution$datasources$orc$OrcDeserializer$$newWriter$14.apply(OrcDeserializer.scala:123) at org.apache.spark.sql.execution.datasources.orc.OrcDeserializer$$anonfun$2$$anonfun$apply$1.apply(OrcDeserializer.scala:51) at org.apache.spark.sql.execution.datasources.orc.OrcDeserializer$$anonfun$2$$anonfun$apply$1.apply(OrcDeserializer.scala:51) at org.apache.spark.sql.execution.datasources.orc.OrcDeserializer.deserialize(OrcDeserializer.scala:64) at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat$$anonfun$buildReaderWithPartitionValues$2$$anonfun$apply$8.apply(OrcFileFormat.scala:234) at org.apache.spark.sql.execution.datasources.orc.OrcFileFormat$$anonfun$buildReaderWithPartitionValues$2$$anonfun$apply$8.apply(OrcFileFormat.scala:233) at scala.collection.Iterator$$anon$11.next(Iterator.scala:410) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.next(FileScanRDD.scala:104) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:255) at org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:247) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:858) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:858) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346) at org.apache.spark.rdd.RDD.iterator(RDD.scala:310) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:346) at org.apache.spark.rdd.RDD.iterator(RDD.scala:310) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:123) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748)
The issue only happens in branch-2.4. There is no such issue on the latest master branch.
I also tried printing the file schema from the ORC reader in OrcFileFormat:
val orcRecordReader = new OrcInputFormat[OrcStruct]
.createRecordReader(fileSplit, taskAttemptContext)
println(orcRecordReader.getCurrentValue.getSchema)
the result of branch-2.4
struct<a:struct<a1:int,a2:string,a3:timestamp,a4:string,a5:int>,b:struct<b1:int,b2:string>> struct<a:struct<a1:int,a2:string,a3:timestamp,a4:string>,b:struct<b1:int,b2:string>>
The result of master
struct<a:struct<a1:int,a2:string,a3:timestamp,a4:string,a5:int>,b:struct<b1:int,b2:string>> struct<a:struct<a1:int,a2:string,a3:timestamp,a4:string,a5:int>,b:struct<b1:int,b2:string>>
The difference is about the ORC reader, orc-mapreduce-1.5.5-nohive and orc-mapreduce-1.5.9
I simply tried upgrade orc-mapreduce-1.5.5-nohive to orc-mapreduce-1.5.9-nohive and it doesn't fix the problem.
Is there any way to fix this in branch-2.4?