Gengliang Wang created SPARK-31098:
--------------------------------------
Summary: 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: 2.4.5, 2.4.4, 2.4.3, 2.4.2, 2.4.1, 2.4.0
Reporter: Gengliang Wang
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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