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Posted to issues@spark.apache.org by "Gengliang Wang (Jira)" <ji...@apache.org> on 2020/03/09 20:06:00 UTC
[jira] [Commented] (SPARK-31098) Reading ORC files throws
IndexOutOfBoundsException
[ https://issues.apache.org/jira/browse/SPARK-31098?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17055336#comment-17055336 ]
Gengliang Wang commented on SPARK-31098:
----------------------------------------
cc [~dongjoon] Do you have any idea of this?
> Reading ORC files throws IndexOutOfBoundsException
> --------------------------------------------------
>
> Key: SPARK-31098
> URL: https://issues.apache.org/jira/browse/SPARK-31098
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.4.0, 2.4.1, 2.4.2, 2.4.3, 2.4.4, 2.4.5
> Reporter: Gengliang Wang
> Priority: Major
> Attachments: files.tar
>
>
> On reading the attached ORC file which contains null value in nested field, there is such exception:
> {code:java}
> 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)
> {code}
> 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:
> {code:java}
> val orcRecordReader = new OrcInputFormat[OrcStruct]
> .createRecordReader(fileSplit, taskAttemptContext)
> println(orcRecordReader.getCurrentValue.getSchema)
> {code}
> the result of branch-2.4
> {code:java}
> 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>>
> {code}
> The result of master
> {code:java}
> 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>>
> {code}
> 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?
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